Paperjam

#1003 · Yangyang Yu, Zhiyuan Yao, Haohang Li, Zhiyang Deng, Yuechen Jiang, Yupeng Cao, Zhi Chen, Jordan Suchow, Zhenyu Cui, Rong Liu, Zhaozhuo Xu, Denghui Zhang, Koduvayur (Suba) Subbalakshmi, GUOJUN XIONG, Yueru He, Jimin Huang, Dong Li, Qianqian Xie

Learning to compute Gröbner bases

#1004 · Hiroshi Kera, Yuki Ishihara, Yuta Kambe, Tristan Vaccon, Kazuhiro Yokoyama

Unsupervised Discovery of Formulas for Mathematical Constants

#1005 · Michael Shalyt, Uri Seligmann, Itay Beit Halachmi, Ofir David, Rotem Elimelech, Ido Kaminer

Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability

#1006 · Nina Gubina, Andrei Dmitrenko, Gleb Solovev, Lyubov Yamshchikova, Oleg Petrov, Ivan Lebedev, Nikita Serov, Grigorii Kirgizov, Nikolay Nikitin, Vladimir Vinogradov

Newton Informed Neural Operator for Computing Multiple Solutions of Nonlinear Partials Differential Equations

#1007 · Wenrui Hao, Xinliang Liu, Yahong Yang

Self-Guiding Exploration for Combinatorial Problems

#1008 · Zangir Iklassov, Yali Du, Farkhad Akimov, Martin Takac

DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data

#1009 · Hanyang Chen, Yang Jiang, Shengnan Guo, Xiaowei Mao, Youfang Lin, Huaiyu Wan

Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy

#1010 · Zhenyu Guan, Xiangyu Kong, Fangwei Zhong, Yizhou Wang

Enhancing vision-language models for medical imaging: bridging the 3D gap with innovative slice selection

#1011 · Yuli Wang, Peng jian, Yuwei Dai, Craig Jones, Haris Sair, Jinglai Shen, Nicolas Loizou, jing wu, Wen-Chi Hsu, Maliha Imami, Zhicheng Jiao, Paul Zhang, Harrison Bai

Pruning neural network models for gene regulatory dynamics using data and domain knowledge

#1100 · Intekhab Hossain, Jonas Fischer, Rebekka Burkholz, John Quackenbush

Gene-Gene Relationship Modeling Based on Genetic Evidence for Single-Cell RNA-Seq Data Imputation

#1101 · Daeho Um, Ji Won Yoon, Seong Jin Ahn, Yunha Yeo

Training Compute-Optimal Protein Language Models

#1102 · Xingyi Cheng, Bo Chen, Pan Li, Jing Gong, Jie Tang, Le Song

GenAI Arena: An Open Evaluation Platform for Generative Models

#1103 · Dongfu Jiang, Max KU, Tianle Li, Yuansheng Ni, Shizhuo Sun, Rongqi Fan, Wenhu Chen

Multiview Scene Graph

#1104 · Juexiao Zhang, Gao Zhu, Sihang Li, Xinhao Liu, Haorui Song, Xinran Tang, Chen Feng

CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference

#1105 · Shayan Shekarforoush, David Lindell, Marcus Brubaker, David Fleet

Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization

#1106 · Chen Hang, Zhe Ma, Haoming Chen, Xuwei Fang, Vincent Xie, Faming Fang, Guixu Zhang, Hongbin Wang

Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features

#1107 · Chengkai Hou, Zhengrong Xue, Bingyang Zhou, Jinghan Ke, Lin Shao, Huazhe Xu

DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation

#1108 · Yuang Ai, Xiaoqiang Zhou, Huaibo Huang, Xiaotian Han, Zhengyu Chen, Quanzeng You, Hongxia Yang

Slot-VLM: Object-Event Slots for Video-Language Modeling

#1109 · Jiaqi Xu, Cuiling Lan, Wenxuan Xie, Xuejin Chen, Yan Lu

AlphaTablets: A Generic Plane Representation for 3D Planar Reconstruction from Monocular Videos

#1110 · Yuze He, Wang Zhao, Shaohui Liu, Yubin Hu, Yushi Bai, Yu-Hui Wen, Yong-jin Liu

ContactField: Implicit Field Representation for Multi-Person Interaction Geometry

#1111 · Hansol Lee, Tackgeun You, Hansoo Park, Woohyeon Shim, Sanghyeon Kim, Hwasup Lim

Pseudo-Siamese Blind-spot Transformers for Self-Supervised Real-World Denoising

#1200 · Yuhui Quan, Tianxiang Zheng, Hui Ji

Seeing Beyond the Crop: Using Language Priors for Out-of-Bounding Box Keypoint Prediction

#1201 · Bavesh Balaji, Jerrin Bright, Yuhao Chen, Sirisha Rambhatla, John Zelek, David Clausi

OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned Images

#1202 · Ye Mao, JUNPENG JING, Krystian Mikolajczyk

Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors

#1203 · Chao Chen, Yu-Shen Liu, Zhizhong Han

Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation

#1204 · Yizhou Zhao, Hengwei Bian, Kaihua Chen, Pengliang Ji, Liao Qu, Shao-yu Lin, Weichen Yu, Haoran Li, Hao Chen, Jun Shen, Bhiksha Raj, Min Xu

ODGS: 3D Scene Reconstruction from Omnidirectional Images with 3D Gaussian Splattings

#1205 · Suyoung Lee, Jaeyoung Chung, Jaeyoo Huh, Kyoung Mu Lee

UV-free Texture Generation with Denoising and Geodesic Heat Diffusion

#1206 · Simone Foti, Stefanos Zafeiriou, Tolga Birdal

Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding

#1207 · Jiewen Yang, Yiqun Lin, Bin Pu, Xiaomeng Li

Context and Geometry Aware Voxel Transformer for Semantic Scene Completion

#1208 · Zhu Yu, Runmin Zhang, Jiacheng Ying, Junchen Yu, Xiaohai Hu, Lun Luo, Si-Yuan Cao, Hui-liang Shen

SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams

#1209 · Kang Chen, Shiyan Chen, Jiyuan Zhang, Baoyue Zhang, Yajing Zheng, Tiejun Huang, Zhaofei Yu

Make-it-Real: Unleashing Large Multimodal Model for Painting 3D Objects with Realistic Materials

#1210 · Ye Fang, Zeyi Sun, Tong Wu, Jiaqi Wang, Ziwei Liu, Gordon Wetzstein, Dahua Lin

All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation

#1211 · Xu Zhang, Peiyao Guo, Ming Lu, Zhan Ma

Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration

#1300 · KeZheng Xiong, Haoen Xiang, Qingshan Xu, Chenglu Wen, Siqi Shen, Jonathan Jun LI, Cheng Wang

Accelerating Transformers with Spectrum-Preserving Token Merging

#1302 · Chau Tran, Duy M. H. Nguyen, Manh-Duy Nguyen, TrungTin Nguyen, Ngan Le, Pengtao Xie, Daniel Sonntag, James Zou, Binh Nguyen, Mathias Niepert

DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering

#1303 · Jiahao Lu, Jiacheng Deng, Ruijie Zhu, Yanzhe Liang, Wenfei Yang, Xu Zhou, Tianzhu Zhang

PhyRecon: Physically Plausible Neural Scene Reconstruction

#1304 · Junfeng Ni, Yixin Chen, Bohan Jing, Nan Jiang, Bin Wang, Bo Dai, Puhao Li, Yixin Zhu, Song-Chun Zhu, Siyuan Huang

ImOV3D: Learning Open Vocabulary Point Clouds 3D Object Detection from Only 2D Images

#1305 · Timing Yang, Yuanliang Ju, Li Yi

Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos

#1306 · Cuong Le, Manon Kok, John Viktor Johansson, Bastian Wandt

Wild-GS: Real-Time Novel View Synthesis from Unconstrained Photo Collections

#1307 · Jiacong Xu, Yiqun Mei, Vishal Patel

QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space Model

#1308 · Fei Xie, Weijia Zhang, Zhongdao Wang, Chao Ma

MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging

#1309 · Zhenghao Pan, Haijin Zeng, Jiezhang Cao, Yongyong Chen, Kai Zhang, Yong Xu

Web-Scale Visual Entity Recognition: An LLM-Driven Data Approach

#1310 · Mathilde Caron, Alireza Fathi, Cordelia Schmid, Ahmet Iscen

MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editing

#1311 · Chenjie Cao, Chaohui Yu, Fan Wang, Xiangyang Xue, Yanwei Fu

DI-MaskDINO: A Joint Object Detection and Instance Segmentation Model

#1400 · Zhixiong Nan, Li Xianghong, Tao Xiang, Jifeng Dai

Visual Fourier Prompt Tuning

#1401 · Runjia Zeng, Cheng Han, Qifan Wang, Chunshu Wu, Tong Geng, Lifu Huangg, Ying Nian Wu, Dongfang Liu

A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation

#1402 · Jer Pelhan, Alan Lukezic, Vitjan Zavrtanik, Matej Kristan

Quality-Improved and Property-Preserved Polarimetric Imaging via Complementarily Fusing

#1403 · Chu Zhou, Yixing Liu, Chao Xu, Boxin Shi

IllumiNeRF: 3D Relighting Without Inverse Rendering

#1404 · Xiaoming Zhao, Pratul Srinivasan, Dor Verbin, Keunhong Park, Ricardo Martin Brualla, Philipp Henzler

Adaptive Domain Learning for Cross-domain Image Denoising

#1405 · Zian Qian, Chenyang Qi, Ka Law, Hao Fu, Chenyang Lei, Qifeng Chen

Fully Explicit Dynamic Gaussian Splatting

#1406 · Junoh Lee, Changyeon Won, Hyunjun Jung, Inhwan Bae, Hae-Gon Jeon

Grid4D: 4D Decomposed Hash Encoding for High-fidelity Dynamic Gaussian Splatting

#1407 · Jiawei Xu, Zexin Fan, Jian Yang, Jin Xie

Learning Truncated Causal History Model for Video Restoration

#1408 · Amirhosein Ghasemabadi, Muhammad Janjua, Mohammad Salameh, Di Niu

OPUS: Occupancy Prediction Using a Sparse Set

#1409 · JiaBao Wang, Zhaojiang Liu, Qiang Meng, Liujiang Yan, Ke Wang, JIE YANG, Wei Liu, Qibin Hou, Ming-Ming Cheng

Generalizable Implicit Motion Modeling for Video Frame Interpolation

#1410 · Zujin Guo, Wei Li, Chen Change Loy

A Simple yet Universal Framework for Depth Completion

#1411 · Jin-Hwi Park, Hae-Gon Jeon

Revisiting the Integration of Convolution and Attention for Vision Backbone

#1500 · Lei Zhu, Xinjiang Wang, Wayne Zhang, Rynson Lau

Skinned Motion Retargeting with Dense Geometric Interaction Perception

#1501 · Zijie Ye, Jia-Wei Liu, Jia Jia, Shikun Sun, Mike Zheng Shou

Can We Leave Deepfake Data Behind in Training Deepfake Detector?

#1502 · Jikang Cheng, Zhiyuan Yan, Ying Zhang, Yuhao Luo, Zhongyuan Wang, Chen Li

Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms

#1503 · Miaosen Zhang, Yixuan Wei, Zhen Xing, Yifei Ma, Zuxuan Wu, Ji Li, Zheng Zhang, Qi Dai, Chong Luo, Xin Geng, Baining Guo

Binarized Diffusion Model for Image Super-Resolution

#1504 · Zheng Chen, Haotong Qin, Yong Guo, Xiongfei Su, Xin Yuan, Linghe Kong, Yulun Zhang

Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis

#1505 · Hongyu Sun, Qiuhong Ke, Yongcai Wang, Wang Chen, Kang Yang, Deying Li, Jianfei Cai

Vision-Language Models are Strong Noisy Label Detectors

#1506 · Tong Wei, Hao-Tian Li, ChunShu Li, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang

To Err Like Human: Affective Bias-Inspired Measures for Visual Emotion Recognition Evaluation

#1507 · Chenxi Zhao, Jinglei Shi, Liqiang Nie, Jufeng Yang

Recovering Complete Actions for Cross-dataset Skeleton Action Recognition

#1508 · Hanchao Liu, Yujiang Li, Tai-Jiang Mu, Shi-min Hu

SocialGPT: Prompting LLMs for Social Relation Reasoning via Greedy Segment Optimization

#1509 · Wanhua Li, Zibin Meng, Jiawei Zhou, Donglai Wei, Chuang Gan, Hanspeter Pfister

AttnDreamBooth: Towards Text-Aligned Personalized Text-to-Image Generation

#1510 · Lianyu Pang, Jian Yin, Baoquan Zhao, Feize Wu, Fu Lee Wang, Qing Li, Xudong Mao

ACFun: Abstract-Concrete Fusion Facial Stylization

#1511 · Jiapeng Ji, Kun Wei, Ziqi Zhang, Cheng Deng

Towards Learning Group-Equivariant Features for Domain Adaptive 3D Detection

#1600 · Sangyun Shin, Yuhang He, Madhu Vankadari, Ta-Ying Cheng, Qian Xie, Andrew Markham, Niki Trigoni

E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation

#1601 · Boqian Wu, Qiao Xiao, Shiwei Liu, Lu Yin, Mykola Pechenizkiy, Decebal Constantin Mocanu, Maurice Keulen, Elena Mocanu

Hybrid Mamba for Few-Shot Segmentation

#1602 · Qianxiong Xu, Xuanyi Liu, Lanyun Zhu, Guosheng Lin, Cheng Long, Ziyue Li, Rui Zhao

InstructG2I: Synthesizing Images from Multimodal Attributed Graphs

#1603 · Bowen Jin, Ziqi Pang, Bingjun Guo, Yu-Xiong Wang, Jiaxuan You, Jiawei Han

An Image is Worth 32 Tokens for Reconstruction and Generation

#1604 · Qihang Yu, Mark Weber, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen

Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling

#1605 · Jiatao Gu, Ying Shen, Shuangfei Zhai, Yizhe Zhang, Navdeep Jaitly, Joshua Susskind

Scaling the Codebook Size of VQ-GAN to 100,000 with a Utilization Rate of 99%

#1606 · Lei Zhu, Fangyun Wei, Yanye Lu, Dong Chen

ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis

#1607 · Zanlin Ni, Yulin Wang, Renping Zhou, Yizeng Han, Jiayi Guo, Zhiyuan Liu, Yuan Yao, Gao Huang

How Diffusion Models Learn to Factorize and Compose

#1608 · Qiyao Liang, Ziming Liu, Mitchell Ostrow, Ila Fiete

RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance

#1609 · Zhicheng Sun, Zhenhao Yang, Yang Jin, Haozhe Chi, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Yang Song, Kun Gai, Yadong Mu

Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention

#1610 · Susung Hong

Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models.

#1611 · Athanasios Tragakis, Marco Aversa, Chaitanya Kaul, Roderick Murray-Smith, Daniele Faccio

Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation

#1700 · Qi Bi, Jingjun Yi, Hao Zheng, Haolan Zhan, Yawen Huang, Wei Ji, Yuexiang Li, Yefeng Zheng

DeiSAM: Segment Anything with Deictic Prompting

#1701 · Hikaru Shindo, Manuel Brack, Gopika Sudhakaran, Devendra S Dhami, Patrick Schramowski, Kristian Kersting

AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation

#1702 · Boyu Han, Qianqian Xu, Zhiyong Yang, Shilong Bao, Peisong Wen, Yangbangyan Jiang, Qingming Huang

GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs

#1703 · Zhao Zhang, Ziwei Zhao, Dong Wang, Liwei Wang

Toward Real Ultra Image Segmentation: Leveraging Surrounding Context to Cultivate General Segmentation Model

#1704 · Sai Wang, Yutian Lin, Yu Wu, Bo Du

Unleashing Multispectral Video's Potential in Semantic Segmentation: A Semi-supervised Viewpoint and New UAV-View Benchmark

#1705 · Wei Ji, Jingjing Li, Wenbo Li, Yilin Shen, Li cheng, Hongxia Jin

SyncVIS: Synchronized Video Instance Segmentation

#1706 · Rongkun Zheng, Lu Qi, Xi Chen, Yi Wang, Kun Wang, Yu Qiao, Hengshuang Zhao

General Detection-based Text Line Recognition

#1707 · Raphael Baena, Syrine Kalleli, Mathieu Aubry

MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views

#1708 · Yuedong Chen, Chuanxia Zheng, Haofei Xu, Bohan Zhuang, Andrea Vedaldi, Tat-Jen Cham, Jianfei Cai

StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation

#1709 · Yupeng Zhou, Daquan Zhou, Ming-Ming Cheng, Jiashi Feng, Qibin Hou

A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation

#1710 · Gwanghyun Kim, Alonso Martinez, Yu-Chuan Su, Brendan Jou, Jose Lezama, Agrim Gupta, Lijun Yu, Lu Jiang, Aren Jansen, Jacob Walker, Krishna Somandepalli

Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning

#1711 · PENGHUI RUAN, Pichao WANG, Divya Saxena, Jiannong Cao, Yuhui Shi

Provable and Efficient Dataset Distillation for Kernel Ridge Regression

#1800 · Yilan Chen, Wei Huang, Lily Weng

Distribution-Aware Data Expansion with Diffusion Models

#1801 · Haowei Zhu, Ling Yang, Jun-Hai Yong, Hongzhi Yin, Jiawei Jiang, Meng Xiao, Wentao Zhang, Bin Wang

Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization

#1802 · Dingshuo Chen, Zhixun Li, Yuyan Ni, Guibin Zhang, Ding Wang, Qiang Liu, Shu Wu, Jeffrey Yu, Liang Wang

Boundary Matters: A Bi-Level Active Finetuning Method

#1803 · Han Lu, Yichen Xie, Xiaokang Yang, Junchi Yan

TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series

#1804 · Alexander Nikitin, Letizia Iannucci, Samuel Kaski

TrackIME: Enhanced Video Point Tracking via Instance Motion Estimation

#1805 · Seong Hyeon Park, Huiwon Jang, Byungwoo Jeon, Sukmin Yun, Paul Hongsuck Seo, Jinwoo Shin

OnlineTAS: An Online Baseline for Temporal Action Segmentation

#1806 · Qing Zhong, Guodong Ding, Angela Yao

Is Multiple Object Tracking a Matter of Specialization?

#1807 · Gianluca Mancusi, Mattia Bernardi, Aniello Panariello, Angelo Porrello, Rita Cucchiara, SIMONE CALDERARA

Does Video-Text Pretraining Help Open-Vocabulary Online Action Detection?

#1808 · qingsong zhao, Yi Wang, Jilan Xu, Yinan He, Zifan Song, Limin Wang, Yu Qiao, Cairong Zhao

MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning

#1809 · Tieyuan Chen, Huabin Liu, Tianyao He, Yihang Chen, chaofan gan, Xiao Ma, Cheng Zhong, Yang Zhang, Yingxue Wang, Hui Lin, Weiyao Lin

GoMatching: A Simple Baseline for Video Text Spotting via Long and Short Term Matching

#1810 · Haibin He, Maoyuan Ye, Jing Zhang, Juhua Liu, Bo Du, Dacheng Tao

Evaluation of Text-to-Video Generation Models: A Dynamics Perspective

#1811 · Mingxiang Liao, hannan lu, Qixiang Ye, Wangmeng Zuo, Fang Wan, Tianyu Wang, Yuzhong Zhao, Jingdong Wang, Xinyu Zhang

Deep Submodular Peripteral Networks

#1900 · Gantavya Bhatt, Arnav Das, Jeff A Bilmes

TSDS: Data Selection for Task-Specific Model Finetuning

#1901 · Zifan Liu, Amin Karbasi, Theodoros Rekatsinas

[Re] CUDA: Curriculum of Data Augmentation for Long‐tailed Recognition

#1902 · Barath Chandran C

FedAvP: Augment Local Data via Shared Policy in Federated Learning

#1903 · Minui Hong, Junhyeog Yun, Insu Jeon, Gunhee Kim

Most Influential Subset Selection: Challenges, Promises, and Beyond

#1904 · Yuzheng Hu, Pingbang Hu, Han Zhao, Jiaqi Ma

2D-OOB: Attributing Data Contribution Through Joint Valuation Framework

#1905 · Yifan Sun, Jingyan Shen, Yongchan Kwon

Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization

#1906 · Dang Nguyen, Paymon Haddad, Eric Gan, Baharan Mirzasoleiman

DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving

#1907 · Yuxuan Tong, Xiwen Zhang, Rui Wang, Ruidong Wu, Junxian He

Compact Language Models via Pruning and Knowledge Distillation

#1908 · Saurav Muralidharan, Sharath Turuvekere Sreenivas, Raviraj Joshi, Marcin Chochowski, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Jan Kautz, Pavlo Molchanov

4-bit Shampoo for Memory-Efficient Network Training

#1909 · Sike Wang, Pan Zhou, Jia Li, Hua Huang

ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization

#1910 · Haoran You, Yipin Guo, Yichao Fu, Wei Zhou, Huihong Shi, Xiaofan Zhang, Souvik Kundu, Amir Yazdanbakhsh, Yingyan (Celine) Lin

On Sampling Strategies for Spectral Model Sharding

#1911 · Denis Korzhenkov, Christos Louizos

Loki: Low-rank Keys for Efficient Sparse Attention

#2000 · Prajwal Singhania, Siddharth Singh, Shwai He, Soheil Feizi, Abhinav Bhatele

Activating Self-Attention for Multi-Scene Absolute Pose Regression

#2001 · Miso Lee, Jihwan Kim, Jae-Pil Heo

Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices

#2002 · Zhihao Shu, Xiaowei Yu, Zihao Wu, Wenqi Jia, Yinchen Shi, Miao Yin, Tianming Liu, Dajiang Zhu, Wei Niu

Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding

#2003 · Zhenyu Zhang, Runjin Chen, Shiwei Liu, Zhewei Yao, Olatunji Ruwase, Beidi Chen, Xiaoxia Wu, Zhangyang "Atlas" Wang

Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

#2004 · William Brandon, Mayank Mishra, Aniruddha Nrusimha, Rameswar Panda, Jonathan Ragan-Kelley

Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers

#2005 · Qiufeng Wang, Xu Yang, Fu Feng, Jingq Wang, Xin Geng

Perceiving Longer Sequences With Bi-Directional Cross-Attention Transformers

#2006 · Markus Hiller, Krista A. Ehinger, Tom Drummond

The Fine-Grained Complexity of Gradient Computation for Training Large Language Models

#2007 · Josh Alman, Zhao Song

DiffPhyCon: A Generative Approach to Control Complex Physical Systems

#2008 · Long Wei, Peiyan Hu, Ruiqi Feng, Haodong Feng, Yixuan Du, Tao Zhang, Rui Wang, Yue Wang, Zhi-Ming Ma, Tailin Wu

VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks

#2009 · Yang Li, Shaobo Han, Jonathan Shihao Ji

Towards Scalable and Stable Parallelization of Nonlinear RNNs

#2010 · Xavier Gonzalez, Andrew Warrington, Jimmy Smith, Scott Linderman

Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec

#2011 · Jun-Hyuk Kim, Seungeon Kim, Won-Hee Lee, Dokwan Oh

Exploring Context Window of Large Language Models via Decomposed Positional Vectors

#2100 · Zican Dong, Junyi Li, Xin Men, Xin Zhao, Bingning Wang, Zhen Tian, weipeng chen, Ji-Rong Wen

Gradient-free Decoder Inversion in Latent Diffusion Models

#2101 · Seongmin Hong, Suh Yoon Jeon, Kyeonghyun Lee, Ernest Ryu, Se Young Chun

Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure

#2102 · Bozhen Hu, Cheng Tan, Jun Xia, Yue Liu, Lirong Wu, Jiangbin Zheng, Yongjie Xu, Yufei Huang, Stan Z. Li

Embedding Dimension of Contrastive Learning and $k$-Nearest Neighbors

#2103 · Dmitrii Avdiukhin, Vaggos Chatziafratis, Orr Fischer, Grigory Yaroslavtsev

Classification Done Right for Vision-Language Pre-Training

#2104 · Zilong Huang, Qinghao Ye, Bingyi Kang, Jiashi Feng, Haoqi Fan

Efficiency for Free: Ideal Data Are Transportable Representations

#2105 · PENG SUN, Yi Jiang, Tao Lin

Interactive Deep Clustering via Value Mining

#2106 · Honglin Liu, Peng Hu, Changqing Zhang, Yunfan Li, Xi Peng

Latent Functional Maps: a spectral framework for representation alignment

#2107 · Marco Fumero, Marco Pegoraro, Valentino Maiorca, Francesco Locatello, Emanuele Rodolà

What Variables Affect Out-of-Distribution Generalization in Pretrained Models?

#2108 · Md Yousuf Harun, Kyungbok Lee, Gianmarco Gallardo, Giri Krishnan, Christopher Kanan

MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts

#2109 · Rachel S.Y. Teo, Tan Nguyen

Critically Assessing the State of the Art in Neural Network Verification

#2110 · Matthias König, Annelot W. Bosman, Holger H. Hoos, Jan N. Van Rijn

Is Your HD Map Constructor Reliable under Sensor Corruptions?

#2111 · Xiaoshuai Hao, Mengchuan Wei, Yifan Yang, Haimei Zhao, Hui Zhang, Yi ZHOU, Qiang Wang, Weiming Li, Lingdong Kong, Jing Zhang

Topological obstruction to the training of shallow ReLU neural networks

#2200 · Marco Nurisso, Pierrick Leroy, Francesco Vaccarino

Harnessing small projectors and multiple views for efficient vision pretraining

#2201 · Arna Ghosh, Kumar Krishna Agrawal, Shagun Sodhani, Adam Oberman, Blake Richards

Accelerating Augmentation Invariance Pretraining

#2202 · Jinhong Lin, Cheng-En Wu, Yibing Wei, Pedro Morgado

SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations

#2203 · Sri Harsha Dumpala, Aman Jaiswal, Chandramouli Shama Sastry, Evangelos Milios, Sageev Oore, Hassan Sajjad

Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations

#2204 · Yuli Slavutsky, Yuval Benjamini

GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models

#2205 · ZAITANG LI, Pin-Yu Chen, Tsung-Yi Ho

Adaptive Labeling for Efficient Out-of-distribution Model Evaluation

#2206 · Daksh Mittal, Yuanzhe Ma, Shalmali Joshi, Hongseok Namkoong

SuperDeepFool: a new fast and accurate minimal adversarial attack

#2207 · alireza abdollahpour, Mahed Abroshan, Seyed-Mohsen Moosavi-Dezfooli

The Implicit Bias of Gradient Descent toward Collaboration between Layers: A Dynamic Analysis of Multilayer Perceptions

#2208 · Zheng Wang, Geyong Min, Wenjie Ruan

Improving self-training under distribution shifts via anchored confidence with theoretical guarantees

#2209 · Taejong Joo, Diego Klabjan

WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks

#2210 · Jun Xia, Zhihao Yue, Yingbo Zhou, Zhiwei Ling, Yiyu Shi, Xian Wei, Mingsong Chen

Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection

#2211 · Charles Guille-Escuret, Pierre-André Noël, Ioannis Mitliagkas, David Vazquez, Joao Monteiro

When are dynamical systems learned from time series data statistically accurate?

#2300 · Jeongjin Park, Nicole Yang, Nisha Chandramoorthy

Deep Support Vectors

#2301 · JunHoo Lee, Hyunho Lee, Kyomin Hwang, Nojun Kwak

How does PDE order affect the convergence of PINNs?

#2302 · Chang hoon Song, Yesom Park, Myungjoo Kang

A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning

#2303 · Julia Nakhleh, Joseph Shenouda, Robert Nowak

Clustering in Causal Attention Masking

#2304 · Nikita Karagodin, Yury Polyanskiy, Philippe Rigollet

Polyhedral Complex Derivation from Piecewise Trilinear Networks

#2305 · Jin-Hwa Kim

Debiasing Synthetic Data Generated by Deep Generative Models

#2306 · Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Johan Decruyenaere, Christiaan Polet, Thomas Demeester, Stijn Vansteelandt

An exactly solvable model for emergence and scaling laws in the multitask sparse parity problem

#2307 · yoonsoo nam, Nayara Fonseca, Seok Hyeong Lee, Chris Mingard, Ard Louis

Hardness of Learning Neural Networks under the Manifold Hypothesis

#2308 · Bobak Kiani, Jason Wang, Melanie Weber

Nature-Inspired Local Propagation

#2309 · Alessandro Betti, Marco Gori

Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension

#2310 · Kedar Karhadkar, Michael Murray, Guido Montufar

Mini-Sequence Transformers: Optimizing Intermediate Memory for Long Sequences Training

#2311 · cheng Luo, Jiawei Zhao, Zhuoming Chen, Beidi Chen, Animashree Anandkumar

Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning

#2400 · Jaehyun Nam, Kyuyoung Kim, Seunghyuk Oh, Jihoon Tack, Jaehyung Kim, Jinwoo Shin

Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models

#2401 · Hui-Po Wang, Mario Fritz

Understanding and Minimising Outlier Features in Transformer Training

#2402 · Bobby He, Lorenzo Noci, Daniele Paliotta, Imanol Schlag, Thomas Hofmann

UQ-Guided Hyperparameter Optimization for Iterative Learners

#2403 · Jiesong Liu, Feng Zhang, Jiawei Guan, Xipeng Shen

$\textit{Read-ME}$: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design

#2404 · Ruisi Cai, Yeonju Ro, Geon-Woo Kim, Peihao Wang, Babak Ehteshami Bejnordi, Aditya Akella, Zhangyang "Atlas" Wang

MatrixNet: Learning over symmetry groups using learned group representations

#2405 · Lucas Laird, Circe Hsu, Asilata Bapat, Robin Walters

A Structure-Aware Framework for Learning Device Placements on Computation Graphs

#2406 · Shukai Duan, Heng Ping, Nikos Kanakaris, Xiongye Xiao, Panagiotis Kyriakis, Nesreen K. Ahmed, Peiyu Zhang, Guixiang Ma, Mihai Capotă, Shahin Nazarian, Theodore Willke, Paul Bogdan

NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks

#2407 · Bernardo Esteves, Miguel Vasco, Francisco S. Melo

Where Do Large Learning Rates Lead Us?

#2408 · Ildus Sadrtdinov, Maxim Kodryan, Eduard Pokonechny, Ekaterina Lobacheva, Dmitry Vetrov

Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers

#2409 · Junhan Kim, Chungman Lee, Eulrang Cho, Kyungphil Park, Ho-young Kim, Joonyoung Kim, Yongkweon Jeon

Resolving Discrepancies in Compute-Optimal Scaling of Language Models

#2410 · Tomer Porian, Mitchell Wortsman, Jenia Jitsev, Ludwig Schmidt, Yair Carmon

Convolutional Differentiable Logic Gate Networks

#2411 · Felix Petersen, Hilde Kuehne, Christian Borgelt, Julian Welzel, Stefano Ermon

OccFusion: Rendering Occluded Humans with Generative Diffusion Priors

#2500 · Adam Sun, Tiange Xiang, Scott Delp, Fei-Fei Li, Ehsan Adeli

GuardT2I: Defending Text-to-Image Models from Adversarial Prompts

#2501 · Yijun Yang, Ruiyuan Gao, Xiao Yang, Jianyuan Zhong, Qiang Xu

A Critical Evaluation of AI Feedback for Aligning Large Language Models

#2502 · Archit Sharma, Sedrick Scott Keh, Eric Mitchell, Chelsea Finn, Kushal Arora, Thomas Kollar

Energy-Guided Continuous Entropic Barycenter Estimation for General Costs

#2503 · Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Anastasis Kratsios, Evgeny Burnaev, Aleksandr Korotin

Pessimistic Backward Policy for GFlowNets

#2504 · Hyosoon Jang, Yunhui Jang, Minsu Kim, Jinkyoo Park, Sungsoo Ahn

Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling

#2505 · Jingwei Zhao, Gus Xia, Ziyu Wang, Ye Wang

Group Robust Preference Optimization in Reward-free RLHF

#2506 · Shyam Sundhar Ramesh, Yifan Hu, Iason Chaimalas, Viraj Mehta, Pier Giuseppe Sessa, Haitham Bou Ammar, Ilija Bogunovic

Grounded Answers for Multi-agent Decision-making Problem through Generative World Model

#2507 · Zeyang Liu, Xinrui Yang, Shiguang Sun, Long Qian, Lipeng Wan, Xingyu Chen, Xuguang Lan

Voila-A: Aligning Vision-Language Models with User's Gaze Attention

#2508 · Kun Yan, Zeyu Wang, Lei Ji, Yuntao Wang, Nan Duan, Shuai Ma

Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models

#2509 · Yimeng Zhang, Xin Chen, Jinghan Jia, Yihua Zhang, Chongyu Fan, Jiancheng Liu, Mingyi Hong, Ke Ding, Sijia Liu

Optimal Flow Matching: Learning Straight Trajectories in Just One Step

#2510 · Nikita Kornilov, Petr Mokrov, Alexander Gasnikov, Aleksandr Korotin

TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models

#2511 · Kiwoong Yoo, Owen Oertell, Junhyun Lee, Sanghoon Lee, Jaewoo Kang

Unified Guidance for Geometry-Conditioned Molecular Generation

#2600 · Sirine Ayadi, Leon Hetzel, Johanna Sommer, Fabian Theis, Stephan Günnemann

Discrete Flow Matching

#2601 · Itai Gat, Tal Remez, Neta Shaul, Felix Kreuk, Ricky T. Q. Chen, Gabriel Synnaeve, Yossi Adi, Yaron Lipman

Understanding and Improving Training-free Loss-based Diffusion Guidance

#2602 · Yifei Shen, XINYANG JIANG, Yifan Yang, Yezhen Wang, Dongqi Han, Dongsheng Li

Multistep Distillation of Diffusion Models via Moment Matching

#2603 · Tim Salimans, Thomas Mensink, Jonathan Heek, Emiel Hoogeboom

Simple and Fast Distillation of Diffusion Models

#2604 · Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen, Siwei Lyu

DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models

#2605 · Hengkang Wang, Xu Zhang, Taihui Li, Yuxiang Wan, Tiancong Chen, Ju Sun

Fisher Flow Matching for Generative Modeling over Discrete Data

#2606 · Oscar Davis, Samuel Kessler, Mircea Petrache, Ismail Ceylan, Michael Bronstein, Joey Bose

Efficient LLM Scheduling by Learning to Rank

#2608 · Yichao Fu, Siqi Zhu, Runlong Su, Aurick Qiao, Ion Stoica, Hao Zhang

GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats

#2609 · Sangeek Hyun, Jae-Pil Heo

SnapKV: LLM Knows What You are Looking for Before Generation

#2610 · Yuhong Li, Yingbing Huang, Bowen Yang, Bharat Venkitesh, Acyr Locatelli, Hanchen Ye, Tianle Cai, Patrick Lewis, Deming Chen

Search for Efficient Large Language Models

#2611 · Xuan Shen, Pu Zhao, Yifan Gong, Zhenglun Kong, Zheng Zhan, Yushu Wu, Ming Lin, Chao Wu, Xue Lin, Yanzhi Wang

HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priors

#2700 · Panwang Pan, Zhuo Su, Chenguo Lin, Zhen Fan, Yongjie Zhang, Zeming Li, Tingting Shen, Yadong Mu, Yebin Liu

BrainBits: How Much of the Brain are Generative Reconstruction Methods Using?

#2701 · David Mayo, Christopher Wang, Asa Harbin, Abdulrahman Alabdulkareem, Albert Shaw, Boris Katz, Andrei Barbu

KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis

#2702 · Youngwan Lee, Kwanyong Park, Yoorhim Cho, Yong-Ju Lee, Sung Ju Hwang

PTQ4DiT: Post-training Quantization for Diffusion Transformers

#2703 · Junyi Wu, Haoxuan Wang, Yuzhang Shang, Mubarak Shah, Yan Yan

AID: Attention Interpolation of Text-to-Image Diffusion

#2704 · He Qiyuan, Jinghao Wang, Ziwei Liu, Angela Yao

How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization?

#2705 · Jiahua Dong, Wenqi Liang, Hongliu Li, Duzhen Zhang, Meng Cao, Henghui Ding, Salman Khan, Fahad Shahbaz Khan

YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals

#2706 · Sandeep Mishra, Oindrila Saha, Alan Bovik

Optical Diffusion Models for Image Generation

#2707 · Ilker Oguz, Niyazi Dinc, Mustafa Yildirim, Junjie Ke, Innfarn Yoo, Qifei Wang, Feng Yang, Christophe Moser, Demetri Psaltis

Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion models

#2708 · Kyungmin Lee, Sangkyung Kwak, Kihyuk Sohn, Jinwoo Shin

ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models

#2709 · Wei Pang, Masoumeh Shafieinejad, Lucy Liu, Stephanie Hazlewood, Xi He

Images that Sound: Composing Images and Sounds on a Single Canvas

#2710 · Ziyang Chen, Daniel Geng, Andrew Owens

Diffusion Twigs with Loop Guidance for Conditional Graph Generation

#2711 · Giangiacomo Mercatali, Yogesh Verma, Andre Freitas, Vikas Garg

Efficient Prompt Optimization Through the Lens of Best Arm Identification

#2800 · Chengshuai Shi, Kun Yang, Zihan Chen, Jundong Li, Jing Yang, Cong Shen

UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation

#2801 · Hanzhang Zhou, Zijian Feng, Zixiao Zhu, Junlang Qian, Kezhi Mao

Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond

#2802 · Yingcong Li, Ankit Rawat, Samet Oymak

Localized Zeroth-Order Prompt Optimization

#2803 · Wenyang Hu, Yao Shu, Zongmin Yu, Zhaoxuan Wu, Xiaoqiang Lin, Zhongxiang Dai, See-Kiong Ng, Bryan Kian Hsiang Low

Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars

#2804 · Zhaoxuan Wu, Xiaoqiang Lin, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low

Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning

#2805 · Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Taiji Suzuki, Qingfu Zhang, Hau-San Wong

Solving Inverse Problems via Diffusion Optimal Control

#2806 · Henry Li, Marcus Pereira

Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs

#2807 · qinpeng cui, yixuan liu, Xinyi Zhang, Qiqi Bao, Qingmin Liao, liwang Amd, Lu Tian, Zicheng Liu, Zhongdao Wang, Emad Barsoum

Towards Editing Time Series

#2808 · Baoyu Jing, Shuqi Gu, Tianyu Chen, Zhiyu Yang, Dongsheng Li, Jingrui He, Kan Ren

A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models

#2809 · Hamid Kamkari, Brendan Ross, Rasa Hosseinzadeh, Jesse Cresswell, Gabriel Loaiza-Ganem

Phased Consistency Models

#2810 · Fu-Yun Wang, Zhaoyang Huang, Alexander Bergman, Dazhong Shen, Peng Gao, Michael Lingelbach, Keqiang Sun, Weikang Bian, Guanglu Song, Yu Liu, Xiaogang Wang, Hongsheng Li

SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning

#2811 · JIYING ZHANG, Zijing Liu, Yu Wang, Bin Feng, Yu Li

Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models

#2900 · Chengzhengxu Li, Xiaoming Liu, Zhaohan Zhang, Yichen Wang, Chen Liu, Yu Lan, Chao Shen

Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference

#2901 · Rohan Baskar Prabhakar, Hengrui Zhang, David Wentzlaff

Are Large Language Models Good Statisticians?

#2902 · Yizhang Zhu, Shiyin Du, Boyan Li, Yuyu Luo, Nan Tang

Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity

#2903 · Kaiqu Liang, Zixu Zhang, Jaime Fisac

Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs

#2904 · Liyi Chen, Panrong Tong, Zhongming Jin, Ying Sun, Jieping Ye, Hui Xiong

On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion

#2905 · Chenghao Fan, Zhenyi Lu, Wei Wei, Jie Tian, Xiaoye Qu, Dangyang Chen, Yu Cheng

Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models

#2906 · Sadegh Mahdavi, Raquel Aoki, Keyi Tang, Yanshuai Cao

Transformers Can Do Arithmetic with the Right Embeddings

#2907 · Sean McLeish, Arpit Bansal, Alex Stein, Neel Jain, John Kirchenbauer, Brian Bartoldson, Bhavya Kailkhura, Abhinav Bhatele, Jonas Geiping, Avi Schwarzschild, Tom Goldstein

Code Repair with LLMs gives an Exploration-Exploitation Tradeoff

#2908 · Hao Tang, Keya Hu, Jin Zhou, Si Cheng Zhong, Wei-Long Zheng, Xujie Si, Kevin Ellis

Learning Formal Mathematics From Intrinsic Motivation

#2909 · Gabriel Poesia, David Broman, Nick Haber, Noah Goodman

NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise

#2910 · Zhonghao Wang, Danyu Sun, Sheng Zhou, Haobo Wang, Jiapei Fan, Longtao Huang, Jiajun Bu

Uncovering the Redundancy in Graph Self-supervised Learning Models

#2911 · Zhibiao Wang, Xiao Wang, Haoyue Deng, Nian Liu, Shirui Pan, Chunming Hu

Generalizing CNNs to graphs with learnable neighborhood quantization

#3000 · Isaac Osafo Nkansah, Neil Gallagher, Ruchi Sandilya, Conor Liston, Logan Grosenick

Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module

#3001 · Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Jun Xia, Zhizhi Yu, Zelin Zang, Di Jin, Carl Yang, Rui Zhang, Stan Z. Li

Vector Quantization Prompting for Continual Learning

#3002 · Li Jiao, Qiuxia LAI, YU LI, Qiang Xu

The Intelligible and Effective Graph Neural Additive Network

#3003 · Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach

Learning rigid-body simulators over implicit shapes for large-scale scenes and vision

#3004 · Yulia Rubanova, Tatiana Lopez-Guevara, Kelsey Allen, Will Whitney, Kimberly Stachenfeld, Tobias Pfaff

Analysis of Corrected Graph Convolutions

#3005 · Robert Wang, Aseem Baranwal, Kimon Fountoulakis

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective

#3006 · YUJIE MO, Zhihe Lu, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang

Almost Surely Asymptotically Constant Graph Neural Networks

#3007 · Sam Adam-Day, Michael Benedikt, Ismail Ceylan, Ben Finkelshtein

A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening

#3008 · Guy Bar-Shalom, Yam Eitan, Fabrizio Frasca, Haggai Maron

Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning

#3009 · Raffaele Paolino, Sohir Maskey, Pascal Welke, Gitta Kutyniok

Scale Equivariant Graph Metanetworks

#3010 · Ioannis Kalogeropoulos, Giorgos Bouritsas, Yannis Panagakis

On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks

#3011 · Paolo Pellizzoni, Till Hendrik Schulz, Dexiong Chen, Karsten Borgwardt

An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning

#3100 · Dong Li, Aijia Zhang, Junqi Gao, Biqing Qi

Graph Neural Networks Need Cluster-Normalize-Activate Modules

#3101 · Arseny Skryagin, Felix Divo, Mohammad Amin Ali, Devendra S Dhami, Kristian Kersting

On the Scalability of GNNs for Molecular Graphs

#3103 · Maciej Sypetkowski, Frederik Wenkel, Farimah Poursafaei, Nia Dickson, Karush Suri, Philip Fradkin, Dominique Beaini

DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis

#3104 · Shangshang Yang, Mingyang Chen, Ziwen Wang, Xiaoshan Yu, Panpan Zhang, Haiping Ma, Xingyi Zhang

If You Want to Be Robust, Be Wary of Initialization

#3105 · Sofiane ENNADIR, Johannes Lutzeyer, Michalis Vazirgiannis, El Houcine Bergou

Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning

#3106 · Yuefei Lyu, Chaozhuo Li, Sihong Xie, Xi Zhang

Autonomous Agents for Collaborative Task under Information Asymmetry

#3107 · Wei Liu, Chenxi Wang, YiFei Wang, Zihao Xie, Rennai Qiu, Yufan Dang, Zhuoyun Du, Weize Chen, Cheng Yang, Chen Qian

SEL-BALD: Deep Bayesian Active Learning for Selective Labeling with Instance Rejection

#3108 · Ruijiang Gao, Mingzhang Yin, Maytal Saar-Tsechansky

InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques

#3109 · Rohan Gupta, Iván Arcuschin Moreno, Thomas Kwa, Adrià Garriga-Alonso

Towards Multi-dimensional Explanation Alignment for Medical Classification

#3110 · Lijie Hu, Songning Lai, Wenshuo Chen, Hongru Xiao, Hongbin Lin, Lu Yu, Jingfeng ZHANG, Di Wang

Finding Transformer Circuits With Edge Pruning

#3111 · Adithya Bhaskar, Alexander Wettig, Dan Friedman, Danqi Chen

A hierarchical decomposition for explaining ML performance discrepancies

#3200 · Harvineet Singh, Fan Xia, Adarsh Subbaswamy, Alexej Gossmann, Jean Feng

Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge

#3201 · Fawaz Sammani, Nikos Deligiannis

Listenable Maps for Zero-Shot Audio Classifiers

#3202 · Francesco Paissan, Luca Della Libera, Mirco Ravanelli, Cem Subakan

Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables

#3203 · Qiheng Sun, Haocheng Xia, Jinfei Liu

Learning to Understand: Identifying Interactions via the Möbius Transform

#3204 · Justin Kang, Yigit Efe Erginbas, Landon Butler, Ramtin Pedarsani, Kannan Ramchandran

Navigating the Effect of Parametrization for Dimensionality Reduction

#3205 · Haiyang Huang, Yingfan Wang, Cynthia Rudin

Using Noise to Infer Aspects of Simplicity Without Learning

#3206 · Zachery Boner, Harry Chen, Lesia Semenova, Ronald Parr, Cynthia Rudin

Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models

#3207 · Adam Karvonen, Benjamin Wright, Can Rager, Rico Angell, Jannik Brinkmann, Logan Smith, Claudio Mayrink Verdun, David Bau, Samuel Marks

STL: Still Tricky Logic (for System Validation, Even When Showing Your Work)

#3208 · Isabelle Hurley, Rohan Paleja, Ashley Suh, Jaime D Pena, Ho Chit Siu

Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression

#3209 · Deqing Fu, Tian-qi Chen, Robin Jia, Vatsal Sharan

Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?

#3210 · Sonia Laguna, Ričards Marcinkevičs, Moritz Vandenhirtz, Julia Vogt

Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales

#3211 · Tang Li, Mengmeng Ma, Xi Peng

Measuring Per-Unit Interpretability at Scale Without Humans

#3300 · Roland S. Zimmermann, David Klindt, Wieland Brendel

Interpreting Learned Feedback Patterns in Large Language Models

#3301 · Luke Marks, Amir Abdullah, Clement Neo, Rauno Arike, David Krueger, Philip Torr, Fazl Barez

Understanding Emergent Abilities of Language Models from the Loss Perspective

#3302 · Zhengxiao Du, Aohan Zeng, Yuxiao Dong, Jie Tang

Improving Context-Aware Preference Modeling for Language Models

#3303 · Silviu Pitis, Ziang Xiao, Nicolas Le Roux, Alessandro Sordoni

ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

#3304 · Dan Zhang, Sining Zhoubian, Ziniu Hu, Yisong Yue, Yuxiao Dong, Jie Tang

Bias Amplification in Language Model Evolution: An Iterated Learning Perspective

#3305 · Yi Ren, Shangmin Guo, Linlu Qiu, Bailin Wang, Danica J. Sutherland

Self-Retrieval: End-to-End Information Retrieval with One Large Language Model

#3306 · Qiaoyu Tang, Jiawei Chen, Zhuoqun Li, Bowen Yu, Yaojie Lu, ChengFu, Haiyang Yu, Hongyu Lin, Fei Huang, Ben He, Xianpei Han, Le Sun, Yongbin Li

Do LLMs Build World Representations? Probing Through the Lens of State Abstraction

#3307 · Zichao Li, Yanshuai Cao, Jackie CK Cheung

PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applications

#3308 · Dingkang Yang, Jinjie Wei, Dongling Xiao, Shunli Wang, Tong Wu, Gang Li, Mingcheng Li, Shuaibing Wang, Jiawei Chen, Yue Jiang, Qingyao Xu, Ke Li, Peng Zhai, Lihua Zhang

CiteME: Can Language Models Accurately Cite Scientific Claims?

#3309 · Ori Press, Andreas Hochlehnert, Ameya Prabhu, Vishaal Udandarao, Ofir Press, Matthias Bethge

ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models

#3310 · Yuzhe Gu, Ziwei Ji, Wenwei Zhang, Chengqi Lyu, Dahua Lin, Kai Chen

SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models

#3311 · Jianyi Zhang, Da-Cheng Juan, Cyrus Rashtchian, Chun-Sung Ferng, Heinrich Jiang, Yiran Chen

Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases

#3400 · Zian Su, Xiangzhe Xu, Ziyang Huang, Kaiyuan Zhang, Xiangyu Zhang

MKGL: Mastery of a Three-Word Language

#3401 · Lingbing Guo, Zhongpu Bo, Zhuo Chen, Yichi Zhang, Jiaoyan Chen, Lan Yarong, Mengshu Sun, Zhiqiang Zhang, Yangyifei Luo, Qian Li, Qiang Zhang, Wen Zhang, Huajun Chen

Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance

#3402 · Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao

Evaluate calibration of language models with folktexts

#3403 · André F. Cruz, Celestine Mendler-Dünner, Moritz Hardt

Image-aware Evaluation of Generated Medical Reports

#3404 · Gefen Dawidowicz, Elad Hirsch, Ayellet Tal

IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons

#3405 · Dan Shi, Renren Jin, Tianhao Shen, Weilong Dong, Xinwei Wu, Deyi Xiong

Understanding Transformers via N-Gram Statistics

#3406 · Timothy Nguyen

Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models

#3407 · Luohe Shi, Yao Yao, Zuchao Li, Lefei Zhang, Hai Zhao

MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models

#3408 · Gongfan Fang, Hongxu Yin, Saurav Muralidharan, Greg Heinrich, Jeff Pool, Jan Kautz, Pavlo Molchanov, Xinchao Wang

ConStat: Performance-Based Contamination Detection in Large Language Models

#3409 · Jasper Dekoninck, Mark Müller, Martin Vechev

SimPO: Simple Preference Optimization with a Reference-Free Reward

#3410 · Yu Meng, Mengzhou Xia, Danqi Chen

ProgressGym: Alignment with a Millennium of Moral Progress

#3411 · Tianyi (Alex) Qiu, Yang Zhang, Xuchuan Huang, Jasmine Li, Jiaming Ji, Yaodong Yang

FINALLY: fast and universal speech enhancement with studio-like quality

#3500 · Nicholas Babaev, Kirill Tamogashev, Azat Saginbaev, Ivan Shchekotov, Hanbin Bae, Hosang Sung, WonJun Lee, Hoon-Young Cho, Pavel Andreev

CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations

#3501 · Leying Zhang, Yao Qian, Long Zhou, Shujie LIU, Dongmei Wang, Xiaofei Wang, Midia Yousefi, Yanmin Qian, Jinyu Li, Lei He, sheng zhao, Michael Zeng

CA-SSLR: Condition-Aware Self-Supervised Learning Representation for Generalized Speech Processing

#3502 · Yen-Ju Lu, Jing Liu, Thomas Thebaud, Laureano Moro-Velazquez, Ariya Rastrow, Najim Dehak, Jesus Villalba

Post-Hoc Reversal: Are We Selecting Models Prematurely?

#3503 · Rishabh Ranjan, Saurabh Garg, Mrigank Raman, Carlos Guestrin, Zachary Lipton

Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators

#3504 · Zekun Shi, Zheyuan Hu, Min Lin, Kenji Kawaguchi

A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs

#3505 · Yan Sun, Li Shen, Dacheng Tao

Multi-Label Open Set Recognition

#3506 · Yibo Wang, Jun-Yi Hang, Min-Ling Zhang

Dense Associative Memory Through the Lens of Random Features

#3507 · Benjamin Hoover, Duen Horng Chau, Hendrik Strobelt, Parikshit Ram, Dmitry Krotov

Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution

#3508 · Cong Xu, Jun Wang, Jianyong Wang, Wei Zhang

Collaborative Refining for Learning from Inaccurate Labels

#3509 · BIN HAN, Yi-Xuan Sun, Ya-Lin Zhang, Libang Zhang, Haoran Hu, Longfei Li, Jun Zhou, Guo Ye, HUIMEI HE

Transfer Learning with Informative Priors: Simple Baselines Better than Previously Reported

#3510 · Ethan Harvey, Mikhail Petrov, Michael Hughes

Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse

#3511 · Samuel Lippl, Jack Lindsey

Renovating Names in Open-Vocabulary Segmentation Benchmarks

#3600 · Haiwen Huang, Songyou Peng, Dan Zhang, Andreas Geiger

Cross-modal Representation Flattening for Multi-modal Domain Generalization

#3601 · Yunfeng FAN, Wenchao Xu, Haozhao Wang, Song Guo

An eye for an ear: zero-shot audio description leveraging an image captioner with audio-visual token distribution matching

#3602 · Hugo Malard, Michel Olvera, Stéphane Lathuilière, Slim Essid

Scaling Sign Language Translation

#3603 · Biao Zhang, Garrett Tanzer, Orhan Firat

ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models

#3604 · Mingrui Wu, Xinyue Cai, Jiayi Ji, Jiale Li, Oucheng Huang, Gen Luo, Hao Fei, GUANNAN JIANG, Xiaoshuai Sun, Rongrong Ji

Tackling Uncertain Correspondences for Multi-Modal Entity Alignment

#3605 · Liyi Chen, Ying Sun, Shengzhe Zhang, Yuyang Ye, Wei Wu, Hui Xiong

Grounding Multimodal Large Language Models in Actions

#3606 · Andrew Szot, Bogdan Mazoure, Harsh Agrawal, R Devon Hjelm, Zsolt Kira, Alexander Toshev

ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs

#3607 · Irene Huang, Wei Lin, Muhammad Jehanzeb Mirza, Jacob Hansen, Sivan Doveh, Victor Butoi, Roei Herzig, Assaf Arbelle, Hilde Kuehne, Trevor Darrell, Chuang Gan, Aude Oliva, Rogerio Feris, Leonid Karlinsky

Image2Struct: A Benchmark for Evaluating Vision-Language Models in Extracting Structured Information from Images

#3608 · Josselin Roberts, Tony Lee, Chi Heem Wong, Michihiro Yasunaga, Yifan Mai, Percy Liang

Continuous Partitioning for Graph-Based Semi-Supervised Learning

#3609 · Chester Holtz, Pengwen Chen, Zhengchao Wan, Chung-Kuan Cheng, Gal Mishne

Reinforcement Learning Guided Semi-Supervised Learning

#3610 · Marzi Heidari, Hanping Zhang, Yuhong Guo

Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP

#3611 · Chen Huang, Skyler Seto, Samira Abnar, David Grangier, Navdeep Jaitly, Joshua Susskind

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

#3700 · Peter Tong, Ellis Brown, Penghao Wu, Sanghyun Woo, Adithya Jairam Vedagiri IYER, Sai Charitha Akula, Shusheng Yang, Jihan Yang, Manoj Middepogu, Ziteng Wang, Xichen Pan, Rob Fergus, Yann LeCun, Saining Xie

MambaTree: Tree Topology is All You Need in State Space Model

#3701 · Yicheng Xiao, Lin Song, shaoli huang, Jiangshan Wang, Siyu Song, Yixiao Ge, Xiu Li, Ying Shan

Unity by Diversity: Improved Representation Learning for Multimodal VAEs

#3702 · Thomas Sutter, Yang Meng, Andrea Agostini, Daphné Chopard, Norbert Fortin, Julia Vogt, Babak Shahbaba, Stephan Mandt

UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models

#3703 · Jiachen Liang, RuiBing Hou, Minyang Hu, Hong Chang, Shiguang Shan, Xilin Chen

Frustratingly Easy Test-Time Adaptation of Vision-Language Models

#3704 · Matteo Farina, Gianni Franchi, Giovanni Iacca, Massimiliano Mancini, Elisa Ricci

Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare

#3705 · Hanwei Zhu, Haoning Wu, Yixuan Li, Zicheng Zhang, Baoliang Chen, Lingyu Zhu, Yuming Fang, Guangtao Zhai, Weisi Lin, Shiqi Wang

CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models

#3706 · Saurav Jha, Dong Gong, Lina Yao

Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering

#3707 · Jie Ma, Min Hu, Pinghui Wang, Wangchun Sun, Lingyun Song, Hongbin Pei, Jun Liu, Youtian Du

Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning

#3708 · Jiawei Yao, Qi Qian, Juhua Hu

RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models

#3709 · Haoyu Chen, Wenbo Li, Jinjin Gu, Jingjing Ren, Sixiang Chen, Tian Ye, Renjing Pei, Kaiwen Zhou, Fenglong Song, Lei Zhu

Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex.

#3710 · Spandan Madan, Will Xiao, Mingran Cao, Hanspeter Pfister, Margaret Livingstone, Gabriel Kreiman

Bridging semantics and pragmatics in information-theoretic emergent communication

#3711 · Eleonora Gualdoni, Mycal Tucker, Roger Levy, Noga Zaslavsky

Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli

#3800 · Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian

Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception

#3801 · Shuangpeng Han, Ziyu Wang, Mengmi Zhang

fMRI predictors based on language models of increasing complexity recover brain left lateralization

#3802 · Laurent Bonnasse-Gahot, Christophe Pallier

Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion

#3803 · Dongyang Li, Chen Wei, Shiying Li, Jiachen Zou, Quanying Liu

Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli

#3804 · Matthias Tangemann, Matthias Kümmerer, Matthias Bethge

Neural decoding from stereotactic EEG: accounting for electrode variability across subjects

#3805 · Georgios Mentzelopoulos, Evangelos Chatzipantazis, Ashwin Ramayya, Michelle Hedlund, Vivek Buch, Kostas Daniilidis, Konrad Kording, Flavia Vitale

Visual Pinwheel Center Act as Geometric Saliency Detector

#3806 · Haixin Zhong, Mingyi Huang, Wei Dai, Haoyu Wang, Anna Roe, Yuguo Yu

Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics

#3807 · William Qian, Jacob Zavatone-Veth, Ben Ruben, Cengiz Pehlevan

Spectral Learning of Shared Dynamics Between Generalized-Linear Processes

#3808 · Lucine L Oganesian, Omid G. Sani, Maryam Shanechi

NeuMA: Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics

#3809 · Junyi Cao, Shanyan Guan, Yanhao Ge, Wei Li, Xiaokang Yang, Chao Ma

Rethinking the Membrane Dynamics and Optimization Objectives of Spiking Neural Networks

#3810 · Hangchi Shen, Qian Zheng, Huamin Wang, Gang Pan

Unconditional stability of a recurrent neural circuit implementing divisive normalization

#3811 · Shivang Rawat, David Heeger, Stefano Martiniani

SpikedAttention: Training-Free and Fully Spike-Driven Transformer-to-SNN Conversion with Winner-Oriented Spike Shift for Softmax Operation

#3900 · Sangwoo Hwang, Seunghyun Lee, Dahoon Park, Donghun Lee, Jaeha Kung

Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals

#3901 · Hui Zheng, Haiteng Wang, Weibang Jiang, Zhongtao Chen, Li He, Peiyang Lin, Penghu Wei, Guoguang Zhao, Yunzhe Liu

Feedback control guides credit assignment in recurrent neural networks

#3902 · Klara Kaleb, Barbara Feulner, Juan Gallego, Claudia Clopath

Combining Observational Data and Language for Species Range Estimation

#3903 · Max Hamilton, Christian Lange, Elijah Cole, Alexander Shepard, Samuel Heinrich, Oisin Mac Aodha, Grant Van Horn, Subhransu Maji

Neural Persistence Dynamics

#3904 · Sebastian Zeng, Florian Graf, Martin Uray, Stefan Huber, Roland Kwitt

FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation

#3905 · Kun Chen, Peng Ye, Hao Chen, kang chen, Tao Han, Wanli Ouyang, Tao Chen, LEI BAI

DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks

#3906 · Mohamed Elrefaie, Florin Morar, Angela Dai, Faez Ahmed

Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model

#3908 · Yanpeng Ye, Jie Ren, Shaozhou Wang, Yuwei Wan, Imran Razzak, Bram Hoex, Haofen Wang, Tong Xie, Wenjie Zhang

Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning

#3909 · Armand Kassaï Koupaï, Jorge Mifsut Benet, Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari

The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains

#3910 · Eric Qu, Aditi Krishnapriyan

NeuralClothSim: Neural Deformation Fields Meet the Thin Shell Theory

#3911 · Navami Kairanda, Marc Habermann, Christian Theobalt, Vladislav Golyanik

Robust Gaussian Processes via Relevance Pursuit

#4000 · Sebastian Ament, Elizabeth Santorella, David Eriksson, Ben Letham, Maximilian Balandat, Eytan Bakshy

Amortized Bayesian Experimental Design for Decision-Making

#4001 · Daolang Huang, Yujia Guo, Luigi Acerbi, Samuel Kaski

Practical Bayesian Algorithm Execution via Posterior Sampling

#4002 · Chu Xin Cheng, Raul Astudillo, Thomas A Desautels, Yisong Yue

BMRS: Bayesian Model Reduction for Structured Pruning

#4003 · Dustin Wright, Christian Igel, Raghavendra Selvan

Deep Bayesian Active Learning for Preference Modeling in Large Language Models

#4004 · Luckeciano Carvalho Melo, Panagiotis Tigas, Alessandro Abate, Yarin Gal

Learning via Surrogate PAC-Bayes

#4005 · Antoine Picard, Roman Moscoviz, Benjamin Guedj

Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation

#4006 · Julius Vetter, Guy Moss, Cornelius Schröder, Richard Gao, Jakob H Macke

Neural Conditional Probability for Uncertainty Quantification

#4007 · Vladimir Kostic, Grégoire Pacreau, Giacomo Turri, Pietro Novelli, Karim Lounici, Massimiliano Pontil

Avoiding Undesired Future with Minimal Cost in Non-Stationary Environments

#4008 · Wen-Bo Du, Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou

Expected Probabilistic Hierarchies

#4009 · Marcel Kollovieh, Bertrand Charpentier, Daniel Zügner, Stephan Günnemann

Streaming Bayes GFlowNets

#4010 · Tiago Silva, Daniel Augusto de Souza, Diego Mesquita

Parametric model reduction of mean-field and stochastic systems via higher-order action matching

#4011 · Jules Berman, Tobias Blickhan, Benjamin Peherstorfer

Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes

#4100 · Syrine Belakaria, Ben Letham, Jana Doppa, Barbara Engelhardt, Stefano Ermon, Eytan Bakshy

Gradient-based Discrete Sampling with Automatic Cyclical Scheduling

#4101 · Patrick Pynadath, Riddhiman Bhattacharya, ARUN HARIHARAN, Ruqi Zhang

Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows

#4103 · Alberto Cabezas, Louis Sharrock, Christopher Nemeth

Globally Convergent Variational Inference

#4104 · Declan McNamara, Jackson Loper, Jeffrey Regier

Asymptotics of Alpha-Divergence Variational Inference Algorithms with Exponential Families

#4105 · François Bertholom, randal douc, François Roueff

Particle Semi-Implicit Variational Inference

#4106 · Jen Ning Lim, Adam Johansen

ClevrSkills: Compositional Language And Visual Understanding in Robotics

#4107 · Sanjay Haresh, Daniel Dijkman, Apratim Bhattacharyya, Roland Memisevic

Omnigrasp: Simulated Humanoid Grasping on Diverse Objects

#4108 · Zhengyi Luo, Jinkun Cao, Sammy Christen, Alexander Winkler, Kris Kitani, Weipeng Xu

Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks

#4109 · Zaijing Li, Yuquan Xie, Rui Shao, Gongwei Chen, Dongmei Jiang, Liqiang Nie

GarmentLab: A Unified Simulation and Benchmark for Garment Manipulation

#4110 · Haoran Lu, Ruihai Wu, Yitong Li, Sijie Li, Ziyu Zhu, Chuanruo Ning, Yan Zhao, Longzan Luo, Yuanpei Chen, Hao Dong

DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control

#4111 · Zichen Cui, Hengkai Pan, Aadhithya Iyer, Siddhant Haldar, Lerrel Pinto

From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection

#4200 · Xinlei Wang, Maike Feng, Jing Qiu, Jinjin Gu, Junhua Zhao

Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction

#4201 · Manuel Brenner, Christoph Jürgen Hemmer, Zahra Monfared, Daniel Durstewitz

Retrieval-Augmented Diffusion Models for Time Series Forecasting

#4202 · Jingwei Liu, Ling Yang, Hongyan Li, Shenda Hong

Multivariate Probabilistic Time Series Forecasting with Correlated Errors

#4203 · Zhihao Zheng, Lijun Sun

From Similarity to Superiority: Channel Clustering for Time Series Forecasting

#4204 · Jialin Chen, Jan Eric Lenssen, Aosong Feng, Weihua Hu, Matthias Fey, Leandros Tassiulas, Jure Leskovec, Rex Ying

Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting

#4205 · Qingxiang Liu, Xu Liu, Chenghao Liu, Qingsong Wen, Yuxuan Liang

Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective

#4206 · Chengsen Wang, Qi Qi, Jingyu Wang, Haifeng Sun, Zirui Zhuang, Jinming Wu, Jianxin Liao

Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis

#4207 · Qiang Wu, Gechang Yao, Zhixi Feng, Yang Shuyuan

Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms

#4208 · Fan Yao, Yiming Liao, Jingzhou Liu, Shaoliang Nie, Qifan Wang, Haifeng Xu, Hongning Wang

The Surprising Effectiveness of SP Voting with Partial Preferences

#4209 · Hadi Hosseini, Debmalya Mandal, Amrit Puhan

Pricing and Competition for Generative AI

#4210 · Rafid Mahmood

Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving

#4211 · Jianbiao Mei, Yukai Ma, Xuemeng Yang, Licheng Wen, Xinyu Cai, Xin Li, Daocheng Fu, Bo Zhang, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yong Liu, Yu Qiao

Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework

#4300 · Zhongchao Yi, Zhengyang Zhou, Qihe Huang, Yanjiang Chen, Liheng Yu, Xu Wang, Yang Wang

Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting

#4301 · Jinliang Deng, Feiyang Ye, Du Yin, Xuan Song, Ivor Tsang, Hui Xiong

Benchmarking Trustworthiness of Multimodal Large Language Models: A Comprehensive Study

#4302 · Yichi Zhang, Yao Huang, Yitong Sun, Chang Liu, Zhe Zhao, Zhengwei Fang, Yifan Wang, Huanran Chen, Xiao Yang, Xingxing Wei, Hang Su, Yinpeng Dong, Jun Zhu

PrivAuditor: Benchmarking Data Protection Vulnerabilities in LLM Adaptation Techniques

#4303 · Derui Zhu, Dingfan Chen, Xiongfei Wu, Jiahui Geng, Zhuo Li, Jens Grossklags, Lei Ma

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

#4304 · Patrick Chao, Edoardo Debenedetti, Alexander Robey, Maksym Andriushchenko, Francesco Croce, Vikash Sehwag, Edgar Dobriban, Nicolas Flammarion, George J. Pappas, Florian Tramer, Hamed Hassani, Eric Wong

On the Adversarial Robustness of Benjamini Hochberg

#4305 · Louis Chen, Roberto Szechtman, Matan Seri

MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities

#4306 · Hao Dong, Yue Zhao, Eleni Chatzi, Olga Fink

HonestLLM: Toward an Honest and Helpful Large Language Model

#4307 · Gao Chujie, Siyuan Wu, Yue Huang, Dongping Chen, Qihui Zhang, Zhengyan Fu, Yao Wan, Lichao Sun, Xiangliang Zhang

Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness

#4308 · Mingyuan Fan, Xiaodan Li, Cen Chen, Wenmeng Zhou, Yaliang Li

Towards Calibrated Robust Fine-Tuning of Vision-Language Models

#4309 · Changdae Oh, Hyesu Lim, Mijoo Kim, Dongyoon Han, Sangdoo Yun, Jaegul Choo, Alexander Hauptmann, Zhi-Qi Cheng, Kyungwoo Song

Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models

#4310 · Chia-Yi Hsu, Yu-Lin Tsai, Chih-Hsun Lin, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang

SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents

#4311 · Ethan Rathbun, Christopher Amato, Alina Oprea

HyperLogic: Enhancing Diversity and Accuracy in Rule Learning with HyperNets

#4400 · Yang Yang, Wendi Ren, Shuang Li

Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning

#4401 · Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du

Unelicitable Backdoors via Cryptographic Transformer Circuits

#4402 · Andis Draguns, Andrew Gritsevskiy, Sumeet Motwani, Christian Schroeder de Witt

Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data

#4403 · Thibault Simonetto, Salah GHAMIZI, Maxime Cordy

Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems

#4404 · Rohan Paleja, Michael Munje, Kimberlee Chang, Reed Jensen, Matthew Gombolay

Faster Repeated Evasion Attacks in Tree Ensembles

#4405 · Lorenzo Cascioli, Laurens Devos, Ondrej Kuzelka, Jesse Davis

Test Where Decisions Matter: Importance-driven Testing for Deep Reinforcement Learning

#4406 · Stefan Pranger, Hana Chockler, Martin Tappler, Bettina Könighofer

Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups

#4407 · Fengyu Gao, Ruiquan Huang, Jing Yang

MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability

#4408 · YANRUI DU, Sendong Zhao, Danyang Zhao, Ming Ma, Yuhan Chen, Liangyu Huo, Qing Yang, Dongliang Xu, Bing Qin

Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness

#4409 · Weilin Lin, Li Liu, Shaokui Wei, Jianze Li, Hui Xiong

ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation

#4410 · jingnan zheng, Han Wang, An Zhang, Nguyen Duy Tai, Jun Sun, Tat-Seng Chua

Provable Editing of Deep Neural Networks using Parametric Linear Relaxation

#4411 · Zhe Tao, Aditya V Thakur

Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities

#4500 · Alexander Nikitin, Jannik Kossen, Yarin Gal, Pekka Marttinen

Query-Based Adversarial Prompt Generation

#4501 · Jonathan Hayase, Ema Borevković, Nicholas Carlini, Florian Tramer, Milad Nasr

Efficient multi-prompt evaluation of LLMs

#4502 · Felipe Maia Polo, Ronald Xu, Lucas Weber, Mírian Silva, Onkar Bhardwaj, Leshem Choshen, Allysson de Oliveira, Yuekai Sun, Mikhail Yurochkin

RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees

#4503 · Xun Xian, Ganghua Wang, Xuan Bi, Jayanth Srinivasa, Ashish Kundu, Mingyi Hong, Jie Ding

CoLLaM: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models

#4504 · Haitao Li, You Chen, Qingyao Ai, Yueyue WU, Ruizhe Zhang, Yiqun LIU

GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts

#4505 · Deyu Zou, Shikun Liu, Siqi Miao, Victor Fung, Shiyu Chang, Pan Li

Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth

#4506 · Wei Chen, Xixuan Hao, Yuankai Wu, Yuxuan Liang

UniTox: Leveraging LLMs to Curate a Unified Dataset of Drug-Induced Toxicity from FDA Labels

#4507 · Jacob Silberg, Kyle Swanson, Elana Simon, Angela Zhang, Zaniar Ghazizadeh, Scott Ogden, Hisham Hamadeh, James Zou

LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication

#4508 · Xianzhi Zeng, Wenchao Jiang, SHUHAO ZHANG

Learning Superconductivity from Ordered and Disordered Material Structures

#4509 · Pin Chen, Luoxuan Peng, Rui Jiao, Qing Mo, Zhen Wang, Wenbing Huang, Yang Liu, Yutong Lu

INQUIRE: A Natural World Text-to-Image Retrieval Benchmark

#4510 · Edward Vendrow, Omiros Pantazis, Alexander Shepard, Gabriel Brostow, Kate Jones, Oisin Mac Aodha, Sara Beery, Grant Van Horn

FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner

#4511 · Wenliang Zhao, Minglei Shi, Xumin Yu, Jie Zhou, Jiwen Lu

Noise Contrastive Alignment of Language Models with Explicit Rewards

#4600 · Huayu Chen, Guande He, Lifan Yuan, Ganqu Cui, Hang Su, Jun Zhu

EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization

#4601 · Dong HUANG, Jianbo Dai, Han Weng, Puzhen Wu, Yuhao QING, Heming Cui, Zhijiang Guo, Jie Zhang

Architect: Generating Vivid and Interactive 3D Scenes with Hierarchical 2D Inpainting

#4602 · Yian Wang, Xiaowen Qiu, Jiageng Liu, Zhehuan Chen, Jiting Cai, Yufei Wang, Tsun-Hsuan Johnson Wang, Zhou Xian, Chuang Gan

Non-convolutional graph neural networks.

#4603 · Yuanqing Wang, Kyunghyun Cho

SpecExec: Massively Parallel Speculative Decoding For Interactive LLM Inference on Consumer Devices

#4604 · Ruslan Svirschevski, Avner May, Zhuoming Chen, Beidi Chen, Zhihao Jia, Max Ryabinin

OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation

#4605 · Junke Wang, Yi Jiang, Zehuan Yuan, BINGYUE PENG, Zuxuan Wu, Yu-Gang Jiang

Achievable distributional robustness when the robust risk is only partially identified

#4606 · Julia Kostin, Nicola Gnecco, Fanny Yang

Enhancing Large Vision Language Models with Self-Training on Image Comprehension

#4607 · Yihe Deng, Pan Lu, Fan Yin, Ziniu Hu, Sheng Shen, Quanquan Gu, James Zou, Kai-Wei Chang, Wei Wang

Spatio-Spectral Graph Neural Networks

#4608 · Simon Geisler, Arthur Kosmala, Daniel Herbst, Stephan Günnemann

Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery

#4609 · Haonan Lin, Wenbin An, Jiahao Wang, Yan Chen, Feng Tian, Mengmeng Wang, QianYing Wang, Guang Dai, Jingdong Wang

Invisible Image Watermarks Are Provably Removable Using Generative AI

#4610 · Xuandong Zhao, Kexun Zhang, Zihao Su, Saastha Vasan, Ilya Grishchenko, Christopher Kruegel, Giovanni Vigna, Yu-Xiang Wang, Lei Li

IMAGPose: A Unified Conditional Framework for Pose-Guided Person Generation

#4611 · Fei Shen, Jinhui Tang

Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models

#4700 · Puqian Wang, Nikos Zarifis, Ilias Diakonikolas, Jelena Diakonikolas

Observational Scaling Laws and the Predictability of Langauge Model Performance

#4701 · Yangjun Ruan, Chris Maddison, Tatsunori Hashimoto

Leveraging Separated World Model for Exploration in Visually Distracted Environments

#4702 · Kaichen Huang, Shenghua Wan, Minghao Shao, Hai-Hang Sun, Le Gan, Shuai Feng, De-Chuan Zhan

GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts

#4703 · Shirley Wu, Kaidi Cao, Bruno Ribeiro, James Zou, Jure Leskovec

U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers

#4704 · Yuchuan Tian, Zhijun Tu, Hanting Chen, Jie Hu, Chao Xu, Yunhe Wang

Online Iterative Reinforcement Learning from Human Feedback with General Preference Model

#4705 · Chenlu Ye, Wei Xiong, Yuheng Zhang, Hanze Dong, Nan Jiang, Tong Zhang

Universal Neural Functionals

#4706 · Allan Zhou, Chelsea Finn, James Harrison

UniIF: Unified Molecule Inverse Folding

#4707 · Zhangyang Gao, Jue Wang, Cheng Tan, Lirong Wu, Yufei Huang, Siyuan Li, Zhirui Ye, Stan Z. Li

FUSE: Fast Unified Simulation and Estimation for PDEs

#4708 · Levi Lingsch, Dana Grund, Siddhartha Mishra, Georgios Kissas

Domain Adaptation for Large-Vocabulary Object Detectors

#4709 · Kai Jiang, Jiaxing Huang, Weiying Xie, Jie Lei, Yunsong Li, Ling Shao, Shijian Lu

Noether's Razor: Learning Conserved Quantities

#4710 · Tycho van der Ouderaa, Mark van der Wilk, Pim de Haan

Generalization Analysis for Label-Specific Representation Learning

#4711 · Yi-Fan Zhang, Min-Ling Zhang

Auditing Local Explanations is Hard

#4802 · Robi Bhattacharjee, Ulrike Luxburg

Octopus: A Multi-modal LLM with Parallel Recognition and Sequential Understanding

#4803 · Chuyang Zhao, YuXin Song, Junru Chen, KANG RONG, Haocheng Feng, Gang Zhang, Shufan Ji, Jingdong Wang, Errui Ding, Yifan Sun

Infinite Limits of Multi-head Transformer Dynamics

#4804 · Blake Bordelon, Hamza Chaudhry, Cengiz Pehlevan

Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandits

#4805 · Tian Huang, Shengbo Wang, Ke Li

SparseLLM: Towards Global Pruning of Pre-trained Language Models

#4806 · Guangji Bai, Yijiang Li, Chen LING, Kibaek Kim, Liang Zhao

Tell What You Hear From What You See - Video to Audio Generation Through Text

#4807 · Xiulong Liu, Kun Su, Eli Shlizerman

RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation

#4808 · Jeongyeol Kwon, Shie Mannor, Constantine Caramanis, Yonathan Efroni

Convergence of $\text{log}(1/\epsilon)$ for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis

#4809 · Ioannis Anagnostides, Tuomas Sandholm

AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models

#4810 · Haiquan Lu, Yefan Zhou, Shiwei Liu, Zhangyang "Atlas" Wang, Michael Mahoney, Yaoqing Yang

Exploring Token Pruning in Vision State Space Models

#4811 · Zheng Zhan, Zhenglun Kong, Yifan Gong, Yushu Wu, Zichong Meng, Hangyu Zheng, Xuan Shen, Stratis Ioannidis, Wei Niu, Pu Zhao, Yanzhi Wang