Most Cited NEURIPS "visual cache updating" Papers

OOD-Barrier: Build a Middle-Barrier for Open-Set Single-Image Test Time Adaptation via Vision Language Models

Boyang Peng, Sanqing Qu, Tianpei Zou et al.

Prior Forgetting and In-Context Overfitting

Sungyoon Lee

Semantic-KG: Using Knowledge Graphs to Construct Benchmarks for Measuring Semantic Similarity

Qiyao Wei, Edward R Morrell, Lea Goetz et al.

Directed-Tokens: A Robust Multi-Modality Alignment Approach to Large Language-Vision Models

Thanh-Dat Truong, Huu-Thien Tran, Tran Son et al.

Multi-View Oriented GPLVM: Expressiveness and Efficiency

Zi Yang, Ying Li, Zhidi Lin et al.

DGCBench: A Deep Graph Clustering Benchmark

Benyu Wu, Yue Liu, Qiaoyu Tan et al.

Variance-Reduced Long-Term Rehearsal Learning with Quadratic Programming Reformulation

Wen-Bo Du, Tian Qin, Tian-Zuo Wang et al.

Ultra-high Resolution Watermarking Framework Resistant to Extreme Cropping and Scaling

Nan Sun, LuYu Yuan, Han Fang et al.

Table2LaTeX-RL: High-Fidelity LaTeX Code Generation from Table Images via Reinforced Multimodal Language Models

Jun Ling, Yao Qi, Tao Huang et al.

IR3D-Bench: Evaluating Vision-Language Model Scene Understanding as Agentic Inverse Rendering

Hengyu Liu, Chenxin Li, Zhengxin Li et al.

TaiwanVQA: Benchmarking and Enhancing Cultural Understanding in Vision-Language Models

Hsin Yi Hsieh, Shang-Wei Liu, Chang-Chih Meng et al.

MIDAS: Misalignment-based Data Augmentation Strategy for Imbalanced Multimodal Learning

Seong-Hyeon Hwang, Soyoung Choi, Steven Whang

UniHG: A Large-scale Universal Heterogeneous Graph Dataset and Benchmark for Representation Learning and Cross-Domain Transferring

Yide Qiu, Tong Zhang, Shaoxiang Ling et al.

Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization

Tan Pan, Kaiyu Guo, Dongli Xu et al.

User-Instructed Disparity-aware Defocus Control

Yudong Han, Yan Yang, Hao Yang et al.

InFlux: A Benchmark for Self-Calibration of Dynamic Intrinsics of Video Cameras

Erich Liang, Roma Bhattacharjee, Sreemanti Dey et al.

LoRA-EnVar: Parameter-Efficient Hybrid Ensemble Variational Assimilation for Weather Forecasting

Yi Xiao, Hang Fan, Kun Chen et al.

Efficient and Generalizable Mixed-Precision Quantization via Topological Entropy

Nan Li, Yonghui Su, Lianbo Ma

Each Complexity Deserves a Pruning Policy

Hanshi Wang, Yuhao Xu, Zekun Xu et al.

FuncGenFoil: Airfoil Generation and Editing Model in Function Space

Jinouwen Zhang, Junjie Ren, Ma Qianhong et al.

CPRet: A Dataset, Benchmark, and Model for Retrieval in Competitive Programming

Han Deng, Yuan Meng, SHIXIANG TANG et al.

DoseSurv: Predicting Personalized Survival Outcomes under Continuous-Valued Treatments

Moritz Gögl, Yu Liu, Christopher Yau et al.

Multi-dataset Joint Pre-training of Emotional EEG Enables Generalizable Affective Computing

Qingzhu Zhang, Jiani Zhong, Zongsheng Li et al.

Tight analyses of first-order methods with error feedback

Daniel Berg Thomsen, Adrien Taylor, Aymeric Dieuleveut

The Boundaries of Fair AI in Medical Image Prognosis: A Causal Perspective

Thai-Hoang Pham, Jiayuan Chen, Seungyeon Lee et al.

Autoencoding Random Forests

Binh Vu, Jan Kapar, Marvin Wright et al.

DictPFL: Efficient and Private Federated Learning on Encrypted Gradients

Jiaqi Xue, Mayank Kumar, Yuzhang Shang et al.

EVAAA: A Virtual Environment Platform for Essential Variables in Autonomous and Adaptive Agents

Sungwoo Lee, Jungmin Lee, Sohee Kim et al.

HBLLM: Wavelet-Enhanced High-Fidelity 1-Bit Quantization for LLMs

Ningning Chen, Weicai Ye, Ying Jiang

Finite-Time Bounds for Average-Reward Fitted Q-Iteration

Jongmin Lee, Ernest Ryu

NS-Gym: A Comprehensive and Open-Source Simulation Framework for Non-Stationary Markov Decision Processes

Nathaniel S. Keplinger, Baiting Luo, Yunuo Zhang et al.

Learning from A Single Markovian Trajectory: Optimality and Variance Reduction

Zhenyu Sun, Ermin Wei

Many Minds, One Goal: Time Series Forecasting via Sub-task Specialization and Inter-agent Cooperation

Qihe Huang, Zhengyang Zhou, Yangze Li et al.

Improved Algorithms for Fair Matroid Submodular Maximization

Sepideh Mahabadi, Sherry Sarkar, Jakub Tarnawski

MONITRS: Multimodal Observations of Natural Incidents Through Remote Sensing

Shreelekha Revankar, Utkarsh Mall, Cheng Perng Phoo et al.

OpenLex3D: A Tiered Benchmark for Open-Vocabulary 3D Scene Representations

Simple and Optimal Sublinear Algorithms for Mean Estimation

Beatrice Bertolotti, Matteo Russo, Chris Schwiegelshohn et al.

Distil-E2D: Distilling Image-to-Depth Priors for Event-Based Monocular Depth Estimation

Jie Long Lee, Gim Hee Lee

Massive Sound Embedding Benchmark (MSEB)

Georg Heigold, Ehsan Variani, Tom Bagby et al.

Variational Polya Tree

Lu Xu, Tsai Hor Chan, Lequan Yu et al.

Non-rectangular Robust MDPs with Normed Uncertainty Sets

Navdeep Kumar, Adarsh Gupta, Maxence Mohamed ELFATIHI et al.

Dynamic Shadow Unveils Invisible Semantics for Video Outpainting

Ruilin Li, Hang Yu, Jiayan Qiu

FedEL: Federated Elastic Learning for Heterogeneous Devices

Letian Zhang, Bo Chen, Jieming Bian et al.

BioCG: Constrained Generative Modeling for Biochemical Interaction Prediction

Amitay Sicherman, Kira Radinsky

DBLoss: Decomposition-based Loss Function for Time Series Forecasting

Xiangfei Qiu, Xingjian Wu, Hanyin Cheng et al.

CogPhys: Assessing Cognitive Load via Multimodal Remote and Contact-based Physiological Sensing

Anirudh Bindiganavale Harish, Peikun Guo, Bhargav Ghanekar et al.

Correcting misinterpretations of additive models

Benedict Clark, Rick Wilming, Hjalmar Schulz et al.

Role-aware Multi-agent Reinforcement Learning for Coordinated Emergency Traffic Control

Ming Cheng, Hao Chen, Zhiqing Li et al.

Noisy Multi-Label Learning through Co-Occurrence-Aware Diffusion

Senyu Hou, Yuru Ren, Gaoxia Jiang et al.

FGBench: A Dataset and Benchmark for Molecular Property Reasoning at Functional Group-Level in Large Language Models

Xuan Liu, Siru Ouyang, Xianrui Zhong et al.

Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research

A. Feder Cooper, Christopher A. Choquette-Choo, Miranda Bogen et al.

DC4GS: Directional Consistency-Driven Adaptive Density Control for 3D Gaussian Splatting

Moonsoo Jeong, Dongbeen Kim, Minseong Kim et al.

Efficient Low Rank Attention for Long-Context Inference in Large Language Models

Li Tenghui, Guoxu Zhou, Xuyang Zhao et al.

Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning

Xiangning Yu, Zhuohan Wang, Linyi Yang et al.

IRRISIGHT: A Large-Scale Multimodal Dataset and Scalable Pipeline to Address Irrigation and Water Management in Agriculture

Nibir Chandra Mandal, Oishee Bintey Hoque, Mandy Wilson et al.

Eluder dimension: localise it!

Alireza Bakhtiari, Alex Ayoub, Samuel Robertson et al.

Eulerian Neural Network Informed by Chemical Transport for Air Quality Forecasting

A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone

Jitai Hao, Qiang Huang, Hao Liu et al.

MLIP Arena: Advancing Fairness and Transparency in Machine Learning Interatomic Potentials via an Open, Accessible Benchmark Platform

Yuan Chiang, Tobias Kreiman, Christine Zhang et al.

Quantum Speedups for Minimax Optimization and Beyond

Chengchang Liu, Zongqi Wan, Institute of Computing Jialin Zhang et al.

Subgraph Federated Learning via Spectral Methods

Javad Aliakbari, Johan Oestman, Ashkan Panahi et al.

Global Minimizers of Sigmoid Contrastive Loss

Kiril Bangachev, Guy Bresler, Iliyas Noman et al.

Venus-MAXWELL: Efficient Learning of Protein-Mutation Stability Landscapes using Protein Language Models

Yuanxi Yu, Fan Jiang, Xinzhu Ma et al.

Scalable Neural Incentive Design with Parameterized Mean-Field Approximation

Nathan Corecco, Batuhan Yardim, Vinzenz Thoma et al.

PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis

Yan Wu, Esther Wershof, Sebastian Schmon et al.

Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference

Frank Shih, Zhenghao Jiang, Faming Liang

Overcoming Long Context Limitations of State Space Models via Context Dependent Sparse Attention

Zhihao Zhan, Jianan Zhao, Zhaocheng Zhu et al.

OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization Modeling

Haoyang Liu, Jie Wang, Yuyang Cai et al.

Track3R: Joint Point Map and Trajectory Prior for Spatiotemporal 3D Understanding

Seong Hyeon Park, Jinwoo Shin

The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination

Adam Klivans, Konstantinos Stavropoulos, Kevin Tian et al.

Improving Deep Learning for Accelerated MRI With Data Filtering

Kang Lin, Anselm Krainovic, Kun Wang et al.

Online Strategic Classification With Noise and Partial Feedback

Tianrun Zhao, Xiaojie Mao, Yong Liang

ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness

Yijun Liang, Ming Li, Chenrui Fan et al.

Fire360: A Benchmark for Robust Perception and Episodic Memory in Degraded 360° Firefighting Video

Aditi Tiwari, Farzaneh Masoud, Dac Nguyen et al.

Staggered Environment Resets Improve Massively Parallel On-Policy Reinforcement Learning

Sid Bharthulwar, Stone Tao, Hao Su

SGAR: Structural Generative Augmentation for 3D Human Motion Retrieval

Jiahang Zhang, Lilang Lin, Shuai Yang et al.

Toward a Vision-Language Foundation Model for Medical Data: Multimodal Dataset and Benchmarks for Vietnamese PET/CT Report Generation

Tien Nguyen, Dac Nguyen, Duc Nguyen The Minh et al.

Latent Retrieval Augmented Generation of Cross-Domain Protein Binders

Zishen Zhang, Xiangzhe Kong, Wenbing Huang et al.

Structure-Aware Cooperative Ensemble Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models

Jie Zhao, Kang Cheong

Hyperphantasia: A Benchmark for Evaluating the Mental Visualization Capabilities of Multimodal LLMs

Mohammad Shahab Sepehri, Berk Tinaz, Zalan Fabian et al.

Prompt-Guided Alignment with Information Bottleneck Makes Image Compression Also a Restorer

Xuelin Shen, Quan Liu, Jiayin Xu et al.

Task-Specific Data Selection for Instruction Tuning via Monosemantic Neuronal Activations

Da Ma, Gonghu Shang, Zhi Chen et al.

CarbonGlobe: A Global-Scale, Multi-Decade Dataset and Benchmark for Carbon Forecasting in Forest Ecosystems

Zhihao Wang, Lei Ma, George Hurtt et al.

Lattice Boltzmann Model for Learning Real-World Pixel Dynamicity

Guangze Zheng, Shijie Lin, Haobo Zuo et al.

A Fair Federated Learning Method for Handling Client Participation Probability Inconsistencies in Heterogeneous Environments

Siyuan Wu, Yongzhe Jia, Haolong Xiang et al.

Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models

Hanze Guo, Jing Yao, Xiao Zhou et al.

Ridge Boosting is Both Robust and Efficient

David Bruns-Smith, Zhongming Xie, Avi Feller

LLM Layers Immediately Correct Each Other

Arjun Patrawala, Jiahai Feng, Erik Jones et al.

Training Robust Graph Neural Networks by Modeling Noise Dependencies

Yeonjun In, Kanghoon Yoon, Sukwon Yun et al.

Efficient PAC Learning for Realizable-Statistic Models via Convex Surrogates

Shivani Agarwal

The Rashomon Set Has It All: Analyzing Trustworthiness of Trees under Multiplicity

Ethan Hsu, Tony Cao, Lesia Semenova et al.

Entropy-Calibrated Label Distribution Learning

Yunan Lu, Bowen Xue, Xiuyi Jia et al.

Towards Better Dental AI: A Multimodal Benchmark and Instruction Dataset for Panoramic X-ray Analysis

Jing Hao, Yuxuan Fan, Yanpeng Sun et al.

Spiking Meets Attention: Efficient Remote Sensing Image Super-Resolution with Attention Spiking Neural Networks

Yi Xiao, Qiangqiang Yuan, Kui Jiang et al.

SemCoT: Accelerating Chain-of-Thought Reasoning through Semantically-Aligned Implicit Tokens

Yinhan He, Wendy Zheng, Yaochen Zhu et al.

Stochastically Dominant Peer Prediction

Yichi Zhang, Shengwei Xu, Grant Schoenebeck et al.

ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization

Bo Du, Xuekang Zhu, Xiaochen Ma et al.

Distributional Training Data Attribution: What do Influence Functions Sample?

Bruno Mlodozeniec, Isaac Reid, Sam Power et al.

Structure-Aware Fusion with Progressive Injection for Multimodal Molecular Representation Learning

Zihao Jing, Yan Sun, Yan Yi Li et al.

Bootstrapping Hierarchical Autoregressive Formal Reasoner with Chain-of-Proxy-Autoformalization

Qi Liu, Xinhao Zheng, Renqiu Xia et al.

Beyond Least Squares: Uniform Approximation and the Hidden Cost of Misspecification

Davide Maran, Csaba Szepesvari

Unveiling the Power of Multiple Gossip Steps: A Stability-Based Generalization Analysis in Decentralized Training

Hi3DEval: Advancing 3D Generation Evaluation with Hierarchical Validity

Yuhan Zhang, Long Zhuo, Ziyang Chu et al.

MIRAGE: A Benchmark for Multimodal Information-Seeking and Reasoning in Agricultural Expert-Guided Conversations

Vardhan Dongre, Chi Gui, Shubham Garg et al.

CoreaSpeech: Korean Speech Corpus via JAMO-based Coreset Selection for Efficient and Robust Korean Speech Generation

Ki-Joong Kwon, Junho So, Sang-Hoon Lee

Hierarchical Koopman Diffusion: Fast Generation with Interpretable Diffusion Trajectory

Hanru Bai, Weiyang Ding, Difan Zou

Learning “Partner-Aware” Collaborators in Multi-Party Collaboration

Abhijnan Nath, Nikhil Krishnaswamy

Stochastic Momentum Methods for Non-smooth Non-Convex Finite-Sum Coupled Compositional Optimization

Xingyu Chen, Bokun Wang, Ming Yang et al.

Towards Syn-to-Real IQA: A Novel Perspective on Reshaping Synthetic Data Distributions

Aobo Li, Jinjian Wu, Yongxu Liu et al.

Adjacent Words, Divergent Intents: Jailbreaking Large Language Models via Task Concurrency

Yukun Jiang, Mingjie Li, Michael Backes et al.

MARS-VFL: A Unified Benchmark for Vertical Federated Learning with Realistic Evaluation

Wei Shen, Weiqi Liu, Mingde Chen et al.

RGB-to-Polarization Estimation: A New Task and Benchmark Study

Beibei Lin, Zifeng Yuan, Tingting Chen

CPSea: Large-scale cyclic peptide-protein complex dataset for machine learning in cyclic peptide design

Ziyi Yang, Hanyuan Xie, Yinjun Jia et al.

Robust Sampling for Active Statistical Inference

Puheng Li, Tijana Zrnic, Emmanuel Candes

3DPE-Gaze:Unlocking the Potential of 3D Facial Priors for Generalized Gaze Estimation

Yangshi Ge, Yiwei Bao, Feng Lu

Precise Asymptotics and Refined Regret of Variance-Aware UCB

Yingying Fan, Yuxuan Han, Jinchi Lv et al.

Fairness-Regularized Online Optimization with Switching Costs

Pengfei Li, Yuelin Han, Adam Wierman et al.

Single-pass Adaptive Image Tokenization for Minimum Program Search

Shivam Duggal, Sanghyun Byun, Bill Freeman et al.

MLLM-ISU: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models based Intrusion Scene Understanding

Fujun Han, Peng Ye

Benchmarking Large Language Models with Integer Sequence Generation Tasks

Daniel O'Malley, Manish Bhattarai, Nishath Ranasinghe et al.

Value Gradient Guidance for Flow Matching Alignment

Zhen Liu, Tim Xiao, Carles Domingo i Enrich et al.

Ctrl-DNA: Controllable Cell-Type-Specific Regulatory DNA Design via Constrained RL

Xingyu Chen, Shihao Ma, Runsheng Lin et al.

Composing Global Solutions to Reasoning Tasks via Algebraic Objects in Neural Nets

Yuandong Tian

DQVis Dataset: Natural Language to Biomedical Visualization

Devin Lange, Pengwei Sui, Shanghua Gao et al.

Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control

Georgios Papoudakis, Thomas Coste, Jianye Hao et al.

Strategyproof Reinforcement Learning from Human Feedback

Thomas Kleine Buening, Jiarui Gan, Debmalya Mandal et al.

Non-Uniform Multiclass Learning with Bandit Feedback

Steve Hanneke, Amirreza Shaeiri, Hongao Wang

Transferring Causal Effects using Proxies

Manuel Iglesias-Alonso, Felix Schur, Julius von Kügelgen et al.

QuadEnhancer: Leveraging Quadratic Transformations to Enhance Deep Neural Networks

Qian Chen, Linxin Yang, Akang Wang et al.

Rig3R: Rig-Aware Conditioning and Discovery for 3D Reconstruction

Samuel Li, Pujith Kachana, Prajwal Chidananda et al.

R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization

Yuante Li, Xu Yang, Xiao Yang et al.

In-Context Fully Decentralized Cooperative Multi-Agent Reinforcement Learning

Chao Li, Bingkun BAO, Yang Gao

With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You

Fabian Gröger, Shuo Wen, Huyen Le et al.

Spiking Neural Networks Need High-Frequency Information

Yuetong Fang, Deming Zhou, Ziqing Wang et al.

Simulation-Based Inference for Adaptive Experiments

Brian Cho, Aurelien Bibaut, Nathan Kallus

mmWalk: Towards Multi-modal Multi-view Walking Assistance

Kedi Ying, Ruiping Liu, Chongyan Chen et al.

Image Stitching in Adverse Condition: A Bidirectional-Consistency Learning Framework and Benchmark

Zengxi Zhang, Junchen Ge, Zhiying Jiang et al.

Self-Perturbed Anomaly-Aware Graph Dynamics for Multivariate Time-Series Anomaly Detection

Jinyu Cai, Yuan Xie, Glynnis Lim et al.

Cascaded Language Models for Cost-Effective Human–AI Decision-Making

Claudio Fanconi, Mihaela van der Schaar

CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching

Chen Chen, Pengsheng Guo, Liangchen Song et al.

Joint Modeling of fMRI and EEG Imaging Using Ordinary Differential Equation-Based Hypergraph Neural Networks

Yan Zhang, Yang Gao, Min Li

Merlin L48 Spectrogram Dataset

Aaron Sun, Subhransu Maji, Grant Van Horn

OmniResponse: Online Multimodal Conversational Response Generation in Dyadic Interactions

Cheng Luo, Jianghui Wang, Bing Li et al.

SIU3R: Simultaneous Scene Understanding and 3D Reconstruction Beyond Feature Alignment

QiXu, Dongxu Wei, Lingzhe Zhao et al.

TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability

Tonglong Wei, Yan Lin, Zeyu Zhou et al.

Resolution of Simpson's paradox via the common cause principle

Arshak Hovhannisyan, Armen Allahverdyan

MisoDICE: Multi-Agent Imitation from Mixed-Quality Demonstrations

The Viet Bui, Tien Mai, Thanh Nguyen

Functional data analysis for multivariate distributions through Wasserstein slicing

Han Chen, Hans-Georg Müller

Proxy-SPEX: Sample-Efficient Interpretability via Sparse Feature Interactions in LLMs

Landon Butler, Abhineet Agarwal, Justin Kang et al.

Policy Optimized Text-to-Image Pipeline Design

Uri Gadot, Rinon Gal, Yftah Ziser et al.

PHANTOM: A Benchmark for Hallucination Detection in Financial Long-Context QA

Lanlan Ji, Dominic Seyler, Gunkirat Kaur et al.

Selective Omniprediction and Fair Abstention

Sílvia Casacuberta, Varun Kanade

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation

Shuaiqi Wang, Vikas Raunak, Arturs Backurs et al.

Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free

Zihan Qiu, Zekun Wang, Bo Zheng et al.

WearVQA: A Visual Question Answering Benchmark for Wearables in Egocentric Authentic Real-world scenarios

Eun Chang, Zhuangqun Huang, Yiwei Liao et al.

Sheetpedia: A 300K-Spreadsheet Corpus for Spreadsheet Intelligence and LLM Fine-Tuning

Zailong Tian, Zhuoheng Han, Houfeng Wang et al.

Deciphering the Extremes: A Novel Approach for Pathological Long-tailed Recognition in Scientific Discovery

Zhe Zhao, HaiBin Wen, Xianfu Liu et al.

CMoB: Modality Valuation via Causal Effect for Balanced Multimodal Learning

Jun Wang, Fuyuan CAO, ZhixinXue et al.

CamEdit: Continuous Camera Parameter Control for Photorealistic Image Editing

Xinran Qin, Zhixin Wang, Fan Li et al.

Redefining Experts: Interpretable Decomposition of Language Models for Toxicity Mitigation

Zuhair Hasan Shaik, Abdullah Mazhar, Aseem Srivastava et al.

Meta-World+: An Improved, Standardized, RL Benchmark

Reginald McLean, Evangelos Chatzaroulas, Luc McCutcheon et al.

ErrorTrace: A Black-Box Traceability Mechanism Based on Model Family Error Space

Chuanchao Zang, Xiangtao Meng, Wenyu Chen et al.

Deployment Efficient Reward-Free Exploration with Linear Function Approximation

Zihan Zhang, Yuxin Chen, Jason Lee et al.

Self-Improving Embodied Foundation Models

Seyed Kamyar Seyed Ghasemipour, Ayzaan Wahid, Jonathan Tompson et al.

PARALLELPROMPT: Extracting Parallelism from Large Language Model Queries

Steven Kolawole, Keshav Santhanam, Virginia Smith et al.

Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos

hanxue liang, Jiawei Ren, Ashkan Mirzaei et al.

MEIcoder: Decoding Visual Stimuli from Neural Activity by Leveraging Most Exciting Inputs

Jan Sobotka, Luca Baroni, Ján Antolík

Toward Interpretable Evaluation Measures for Time Series Segmentation

Félix Chavelli, Paul Boniol, Michaël Thomazo

Prohibiting Generative AI in any Form of Weapon Control

Mary Cummings

Military AI Needs Technically-Informed Regulation to Safeguard AI Research and its Applications

Riley Simmons-Edler, Jean Dong, Paul Lushenko et al.

ShapeEmbed: a self-supervised learning framework for 2D contour quantification

Anna Foix-Romero, Craig Russell, Alexander Krull et al.

Agnostic Active Learning Is Always Better Than Passive Learning

Steve Hanneke

Scaling and context steer LLMs along the same computational path as the human brain

Joséphine Raugel, Jérémy Rapin, Stéphane d'Ascoli et al.

QSCA: Quantization with Self-Compensating Auxiliary for Monocular Depth Estimation

Jincheol Yang, Jaemin Choi, Matti Zinke et al.

Collective Bargaining in the Information Economy Can Address AI-Driven Power Concentration

Nicholas Vincent, Matt Prewitt, Hanlin Li

Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation

Zixi Wang, Yushe Cao, Yubo Huang et al.

Graph Alignment via Birkhoff Relaxation

Sushil Varma, Irène Waldspurger, Laurent Massoulié

SongBloom: Coherent Song Generation via Interleaved Autoregressive Sketching and Diffusion Refinement

Chenyu Yang, Shuai Wang, Hangting Chen et al.

Position: Biology is the Challenge Physics-Informed ML Needs to Evolve

Julien Martinelli

OVS Meets Continual Learning: Towards Sustainable Open-Vocabulary Segmentation

Dongjun Hwang, Yejin Kim, Minyoung Lee et al.

MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details

Ruicheng Wang, Sicheng Xu, Yue Dong et al.

No Loss, No Gain: Gated Refinement and Adaptive Compression for Prompt Optimization

Wenhang Shi, Yiren Chen, Shuqing Bian et al.

UGG-ReID: Uncertainty-Guided Graph Model for Multi-Modal Object Re-Identification

Xixi Wan, AIHUA ZHENG, Bo Jiang et al.

Beyond Average Value Function in Precision Medicine: Maximum Probability-Driven Reinforcement Learning for Survival Analysis

Jianqi Feng, Chengchun Shi, Zhenke Wu et al.

Tri-MARF: A Tri-Modal Multi-Agent Responsive Framework for Comprehensive 3D Object Annotation

jusheng zhang, Yijia Fan, Zimo Wen et al.

LVLM-Driven Attribute-Aware Modeling for Visible-Infrared Person Re-Identification

Zhiqi Pang, Lingling Zhao, Junjie Wang et al.

Improved Algorithms for Overlapping and Robust Clustering of Edge-Colored Hypergraphs: An LP-Based Combinatorial Approach

Changyeol Lee, Yongho Shin, Hyung-Chan An

Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data

Shuli Zhang, Hao Zhou, Jiaqi Zheng et al.

MS-BART: Unified Modeling of Mass Spectra and Molecules for Structure Elucidation

Yang Han, Pengyu Wang, Kai Yu et al.

Personalized Federated Conformal Prediction with Localization

Yinjie Min, Chuchen Zhang, Liuhua Peng et al.

Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track

Rylan Schaeffer, Joshua Kazdan, Yegor Denisov-Blanch et al.

Real-Time Hyper-Personalized Generative AI Should Be Regulated to Prevent the Rise of "Digital Heroin"

Raad Khraishi, Cristovao Iglesias de Oliveira, Devesh Batra et al.

PBR-SR: Mesh PBR Texture Super Resolution from 2D Image Priors

Yujin Chen, Yinyu Nie, Benjamin Ummenhofer et al.

Minimum Width for Deep, Narrow MLP: A Diffeomorphism Approach

Geonho Hwang

Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks

Fanghui Liu, Leello Tadesse Dadi, Volkan Cevher

IMPROVED LEARNING THEORY FOR KERNEL DISTRIBUTION REGRESSION WITH TWO-STAGE SAMPLING

Alberto González-Sanz, François Bachoc, Jean-Michel Loubes et al.

Omnipresent Yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization

Colin Doumont, Victor Picheny, Viacheslav (Slava) Borovitskiy et al.

Learning Skill-Attributes for Transferable Assessment in Video

Kumar Ashutosh, Kristen Grauman

What Expressivity Theory Misses: Message Passing Complexity for GNNs

Niklas Kemper, Tom Wollschläger, Stephan Günnemann

DREAM: Drafting with Refined Target Features and Entropy-Adaptive Cross-Attention Fusion for Multimodal Speculative Decoding

Yunhai Hu, Tianhua Xia, Zining Liu et al.