Most Cited NEURIPS Papers
5,858 papers found • Page 22 of 30
Conference
Understanding Data Influence in Reinforcement Finetuning
Haoru Tan, Xiuzhe Wu, Sitong Wu et al.
MaxSup: Overcoming Representation Collapse in Label Smoothing
Yuxuan Zhou, Heng Li, Zhi-Qi Cheng et al.
SALS: Sparse Attention in Latent Space for KV Cache Compression
Junlin Mu, Hantao Huang, Jihang Zhang et al.
GuideFlow3D: Optimization-Guided Rectified Flow For Appearance Transfer
Sayan Deb Sarkar, Sinisa Stekovic, Vincent Lepetit et al.
Private Zeroth-Order Optimization with Public Data
Xuchen Gong, Tian Li
Unlocker: Disentangle the Deadlock of Learning between Label-noisy and Long-tailed Data
shu chen, HongJun Xu, Ruichi Zhang et al.
Zero-Shot Detection of LLM-Generated Text via Implicit Reward Model
Runheng Liu, Heyan Huang, Xingchen Xiao et al.
Accelerating Feature Conformal Prediction via Taylor Approximation
Zihao Tang, Boyuan Wang, Chuan Wen et al.
Theory-Driven Label-Specific Representation for Incomplete Multi-View Multi-Label Learning
Quanjiang Li, Tianxiang Xu, Tingjin Luo et al.
TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction
Zhongyi Yu, Jianqiu Wu, Zhenghao Wu et al.
Optimal Adjustment Sets for Nonparametric Estimation of Weighted Controlled Direct Effect
Ruiyang Lin, Yongyi Guo, Kyra Gan
RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models
Yilang Zhang, Bingcong Li, Georgios Giannakis
Point-MaDi: Masked Autoencoding with Diffusion for Point Cloud Pre-training
Xiaoyang Xiao, Runzhao Yao, Zhiqiang Tian et al.
FlowPrune: Accelerating Attention Flow Calculation by Pruning Flow Network
Shuo Xu, Yu Chen, Shuxia Lin et al.
Sim-LLM: Optimizing LLM Inference at the Edge through Inter-Task KV Reuse
Ruikun Luo, Changwei Gu, Qiang He et al.
Low-Rank Graphon Learning for Networks
Xinyuan Fan, Feiyan Ma, Chenlei Leng et al.
Computational Hardness of Reinforcement Learning with Partial $q^{\pi}$-Realizability
Shayan Karimi, Xiaoqi Tan
InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions
Liangjian Wen, Qun Dai, Jianzhuang Liu et al.
OpenHype: Hyperbolic Embeddings for Hierarchical Open-Vocabulary Radiance Fields
Lisa Weijler, Sebastian Koch, Fabio Poiesi et al.
Dynamic Masking and Auxiliary Hash Learning for Enhanced Cross-Modal Retrieval
Shuang Zhang, Yue Wu, Lei Shi et al.
Model Editing for Vision Transformers
Xinyi Huang, Kangfei Zhao, Long-Kai Huang
Sinusoidal Initialization, Time for a New Start
Alberto Fernandez-Hernandez, Jose Mestre, Manuel F. Dolz et al.
FlashMoE: Fast Distributed MoE in a Single Kernel
Osayamen Aimuyo, Byungsoo Oh, Rachee Singh
FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic
Kanghyun Choi, Hyeyoon Lee, Sunjong Park et al.
Scaling can lead to compositional generalization
Florian Redhardt, Yassir Akram, Simon Schug
Active Test-time Vision-Language Navigation
Heeju Ko, Sung June Kim, Gyeongrok Oh et al.
LittleBit: Ultra Low-Bit Quantization via Latent Factorization
Banseok Lee, Dongkyu Kim, Youngcheon You et al.
Omni-Mol: Multitask Molecular Model for Any-to-any Modalities
Chengxin Hu, Hao Li, Yihe Yuan et al.
A Reinforcement Learning-based Bidding Strategy for Data Consumers in Auction-based Federated Learning
Xiaoli Tang, Han Yu, Xiaoxiao Li
Size-adaptive Hypothesis Testing for Fairness
Antonio Ferrara, Francesco Cozzi, Alan Perotti et al.
Test-Time Adaptation by Causal Trimming
Yingnan Liu, Rui Qiao, Mong-Li Lee et al.
Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMs
Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla
Who Speaks for the Trigger? Dynamic Expert Routing in Backdoored Mixture-of-Experts Transformers
Xin Zhao, Xiaojun Chen, Bingshan Liu et al.
ARM: Adaptive Reasoning Model
Tinghui Zhu, Jian Xie, yikai zhang et al.
Hierarchical Semantic-Augmented Navigation: Optimal Transport and Graph-Driven Reasoning for Vision-Language Navigation
Xiang Fang, Wanlong Fang, Changshuo Wang
Omnidirectional 3D Scene Reconstruction from Single Image
Ren Yang, Jiahao Li, Yan Lu
LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-step Synthetic Logical Data
Zehao Wang, Lin Yang, Jie Wang et al.
Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding
Sunwoo Kim, Hyunjin Hwang, Kijung Shin
IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios
Yifan Li, Yuhang Chen, Anh Dao et al.
Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization
Chenrui Wang, Junyi Shu, Billy Chiu et al.
Doodle to Detect: A Goofy but Powerful Approach to Skeleton-based Hand Gesture Recognition
Sang Han, Seonho Lee, Hyeok Nam et al.
DUET: Dual-Perspective Pseudo Labeling and Uncertainty-aware Exploration & Exploitation Training for Source-Free Domain Adaptation
JaeYun Lee, Jae Hyeon Park, Gyoomin Lee et al.
Theoretical Guarantees for the Retention of Strict Nash Equilibria by Coevolutionary Algorithms
Alistair Benford, Per Kristian Lehre
A Latent Multilayer Graphical Model For Complex, Interdependent Systems
Martin Ondrus, Ivor Cribben, Yang Feng
PhysDiff-VTON: Cross-Domain Physics Modeling and Trajectory Optimization for Virtual Try-On
Shibin Mei, Bingbing Ni
Part-Aware Bottom-Up Group Reasoning for Fine-Grained Social Interaction Detection
Dongkeun Kim, Minsu Cho, Suha Kwak
ScatterAD: Temporal-Topological Scattering Mechanism for Time Series Anomaly Detection
Tao Yin, Shaochen Fu, Zhibin Zhang et al.
HumanCrafter: Synergizing Generalizable Human Reconstruction and Semantic 3D Segmentation
Panwang Pan, Tingting Shen, Chenxin Li et al.
Transformers Learn Faster with Semantic Focus
Parikshit Ram, Kenneth Clarkson, Tim Klinger et al.
GeoRemover: Removing Objects and Their Causal Visual Artifacts
Zixin Zhu, Haoxiang Li, Xuelu Feng et al.
Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints
Hyungki Im, Wyame Benslimane, Paul Grigas
Vulnerable Data-Aware Adversarial Training
Yuqi Feng, Jiahao Fan, Yanan Sun
Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning
Dong Bok Lee, Aoxuan Zhang, Byungjoo Kim et al.
Learning Human-Object Interaction as Groups
Jiajun Hong, Jianan Wei, Wenguan Wang
Adversarial generalization of unfolding (model-based) networks
Vicky Kouni
EPA: Boosting Event-based Video Frame Interpolation with Perceptually Aligned Learning
Yuhan Liu, LingHui Fu, Zhen Yang et al.
Learning in Compact Spaces with Approximately Normalized Transformer
Jörg Franke, Urs Spiegelhalter, Marianna Nezhurina et al.
Enforcing convex constraints in Graph Neural Networks
Ahmed Rashwan, Keith Briggs, Chris Budd et al.
Coresets for Clustering Under Stochastic Noise
Lingxiao Huang, Zhize Li, Nisheeth K. Vishnoi et al.
When No Paths Lead to Rome: Benchmarking Systematic Neural Relational Reasoning
Anirban Das, Muhammad Irtaza Khalid, Rafael Peñaloza et al.
The Adaptive Complexity of Minimizing Relative Fisher Information
Huanjian Zhou, Masashi Sugiyama
Semantic-guided Diverse Decoding for Large Language Model
Weijie Shi, Yue Cui, Yaguang Wu et al.
Evaluating the Inductive Abilities of Large Language Models: Why Chain-of-Thought Reasoning Sometimes Hurts More Than Helps
Haibo Jin, Peiyan Zhang, Man Luo et al.
DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm
Xiaowei Zhu, Yubing Ren, Fang Fang et al.
GMV: A Unified and Efficient Graph Multi-View Learning Framework
Qipeng zhu, Jie Chen, Jian Pu et al.
Beyond $\tilde{O}(\sqrt{T})$ Constraint Violation for Online Convex Optimization with Adversarial Constraints
Abhishek Sinha, Rahul Vaze
Novel Exploration via Orthogonality
Andreas Theophilou, Özgür Şimşek
DiffLiG: Diffusion-enhanced Liquid Graph with Attention Propagation for Grid-to-Station Precipitation Correction
Yuxiang Li, Yang Zhang, Li et al.
Revisiting LRP: Positional Attribution as the Missing Ingredient for Transformer Explainability
Yarden Bakish, Itamar Zimerman, Hila Chefer et al.
Relieving the Over-Aggregating Effect in Graph Transformers
Junshu Sun, Wanxing Chang, Chenxue Yang et al.
Fisher meets Feynman: score-based variational inference with a product of experts
Diana Cai, Robert Gower, David Blei et al.
4D-VLA: Spatiotemporal Vision-Language-Action Pretraining with Cross-Scene Calibration
Jiahui Zhang, Yurui Chen, Yueming Xu et al.
Enhancing Infrared Vision: Progressive Prompt Fusion Network and Benchmark
Jinyuan Liu, Zihang Chen, Zhu Liu et al.
Activity Pruning for Efficient Spiking Neural Networks
Tong Bu, Xinyu Shi, Zhaofei Yu
Provably Efficient Multi-Task Meta Bandit Learning via Shared Representations
Jiabin Lin, Shana Moothedath
Bridging Brains and Concepts: Interpretable Visual Decoding from fMRI with Semantic Bottlenecks
Sara Cammarota, Matteo Ferrante, Nicola Toschi
Generalizing Single-Frame Supervision to Event-Level Understanding for Video Anomaly Detection
Junxi Chen, Liang Li, Yunbin Tu et al.
Attention with Trained Embeddings Provably Selects Important Tokens
Diyuan Wu, Aleksandr Shevchenko, Samet Oymak et al.
E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products
Yunyang Li, Lin Huang, Zhihao Ding et al.
Role Bias in Diffusion Models: Diagnosing and Mitigating through Intermediate Decomposition
Sina Malakouti, Adriana Kovashka
Policy Compatible Skill Incremental Learning via Lazy Learning Interface
Daehee Lee, Dongsu Lee, TaeYoon Kwack et al.
ARMesh: Autoregressive Mesh Generation via Next-Level-of-Detail Prediction
Jiabao Lei, Kewei Shi, Zhihao Liang et al.
Topology-Aware Learning of Tubular Manifolds via SE(3)-Equivariant Network on Ball B-Spline Curve
Jingxuan Wang, Zhongke Wu, Wang et al.
Solving and Learning Partial Differential Equations with Variational Q-Exponential Processes
Guangting Yu, Shiwei Lan
Consistency Conditions for Differentiable Surrogate Losses
Drona Khurana, Anish Thilagar, Dhamma Kimpara et al.
Aeolus: A Multi-structural Flight Delay Dataset
Lin Xu, Xinyun Yuan, Yuxuan Liang et al.
On Group Sufficiency Under Label Bias
Haoran Zhang, Olawale Salaudeen, Marzyeh Ghassemi
Neural Entropy
Akhil Premkumar
Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis
Hengyuan Cao, Yutong Feng, Biao Gong et al.
Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity
Pierre Houédry, Nicolas Courty, Florestan Martin-Baillon et al.
RNNs perform task computations by dynamically warping neural representations
Arthur Pellegrino, Angus Chadwick
Synthetic Series-Symbol Data Generation for Time Series Foundation Models
Wenxuan Wang, Kai Wu, yujian li et al.
Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts
Haizhong Zheng, Yang Zhou, Brian Bartoldson et al.
Learning Juntas under Markov Random Fields
Gautam Chandrasekaran, Adam Klivans
Learning-Augmented Streaming Algorithms for Correlation Clustering
Yinhao Dong, Shan Jiang, Shi Li et al.
Risk-Averse Constrained Reinforcement Learning with Optimized Certainty Equivalents
Jane Lee, Baturay Saglam, Spyridon Pougkakiotis et al.
Sparse Image Synthesis via Joint Latent and RoI Flow
Ziteng Gao, Jay Zhangjie Wu, Mike Zheng Shou
Beyond Prediction: Managing the Repercussions of Machine Learning Applications
Aline Weber, Blossom Metevier, Yuriy Brun et al.
DUO: No Compromise to Accuracy Degradation
Jinda Jia, Cong Xie, Hanlin Lu et al.
Collaborative Reasoner: Self-Improving Social Agents with Synthetic Conversations
Ansong Ni, Ruta Desai, Yang Li et al.
Performative Risk Control: Calibrating Models for Reliable Deployment under Performativity
Victor Li, Baiting Chen, Yuzhen Mao et al.
SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation
Yanwei Ren, Haotian Zhang, Fuxiang Wu et al.
Smooth Regularization for Efficient Video Recognition
Gil Goldman, Raja Giryes, Mahadev Satyanarayanan
MJ-Video: Benchmarking and Rewarding Video Generation with Fine-Grained Video Preference
Haibo Tong, Zhaoyang Wang, Zhaorun Chen et al.
TITAN: A Trajectory-Informed Technique for Adaptive Parameter Freezing in Large-Scale VQE
Yifeng Peng, Xinyi Li, Samuel Yen-Chi Chen et al.
Uncertainty Estimation by Flexible Evidential Deep Learning
Taeseong Yoon, Heeyoung Kim
Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
Xiaoxue Cheng, Junyi Li, Zhenduo Zhang et al.
HoT-VI: Reparameterizable Variational Inference for Capturing Instance-Level High-Order Correlations
Junxi Xiao, Qinliang Su, Zexin Yuan
Visual Diversity and Region-aware Prompt Learning for Zero-shot HOI Detection
Chanhyeong Yang, Taehoon song, Jihwan Park et al.
MMaDA: Multimodal Large Diffusion Language Models
Ling Yang, Ye Tian, Bowen Li et al.
FAST: Foreground‑aware Diffusion with Accelerated Sampling Trajectory for Segmentation‑oriented Anomaly Synthesis
xichen xu, Yanshu Wang, Jinbao Wang et al.
Leaving No OOD Instance Behind: Instance-Level OOD Fine-Tuning for Anomaly Segmentation
Yuxuan Zhang, Zhenbo Shi, han ye et al.
Approximation and Generalization Abilities of Score-based Neural Network Generative Models for Sub-Gaussian Distributions
Guoji Fu, Wee Sun Lee
Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations
Olawale Salaudeen, Haoran Zhang, Kumail Alhamoud et al.
Pinpointing Attention-Causal Communication in Language Models
Gabriel Franco, Mark Crovella
Enhanced Expert Merging for Mixture-of-Experts in Graph Foundation Models
Lei Liu, Xingyu Xia, Qianqian Xie et al.
Graph Persistence goes Spectral
Mattie Ji, Amauri Souza, Vikas Garg
Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning
Haolin Pan, Hongyu Lin, Haoran Luo et al.
Multi-scale Temporal Prediction via Incremental Generation and Multi-agent Collaboration
Zhitao Zeng, Guojian Yuan, Junyuan Mao et al.
DeepHalo: A Neural Choice Model with Controllable Context Effects
Shuhan Zhang, Zhi Wang, Rui Gao et al.
Less is More: Improving LLM Alignment via Preference Data Selection
Xun Deng, Han Zhong, Rui Ai et al.
PRIMT: Preference-based Reinforcement Learning with Multimodal Feedback and Trajectory Synthesis from Foundation Models
Ruiqi Wang, Dezhong Zhao, Ziqin Yuan et al.
CURE: Co-Evolving Coders and Unit Testers via Reinforcement Learning
Yinjie Wang, Ling Yang, Ye Tian et al.
From stability of Langevin diffusion to convergence of proximal MCMC for non-log-concave sampling
Marien Renaud, Valentin De Bortoli, Arthur Leclaire et al.
Salient Concept-Aware Generative Data Augmentation
Tianchen Zhao, Xuanbai Chen, Zhihua Li et al.
The Mirage of Performance Gains: Why Contrastive Decoding Fails to Mitigate Object Hallucinations in MLLMs?
Hao Yin, Guangzong Si, Zilei Wang
LOPT: Learning Optimal Pigovian Tax in Sequential Social Dilemmas
Yun Hua, Shang Gao, Wenhao Li et al.
UnCLe: Towards Scalable Dynamic Causal Discovery in Non-linear Temporal Systems
Tingzhu Bi, Yicheng Pan, Xinrui Jiang et al.
Regression Trees Know Calculus
Nathan Wycoff
A Single-Loop Gradient Algorithm for Pessimistic Bilevel Optimization via Smooth Approximation
Qichao Cao, Shangzhi Zeng, Jin Zhang
Learning with Restricted Boltzmann Machines: Asymptotics of AMP and GD in High Dimensions
Yizhou Xu, Florent Krzakala, Lenka Zdeborová
Document Summarization with Conformal Importance Guarantees
Bruce Kuwahara, Chen-Yuan Lin, Xiao Shi Huang et al.
Dual Prototype-Enhanced Contrastive Framework for Class-Imbalanced Graph Domain Adaptation
Xin Ma, Yifan Wang, Siyu Yi et al.
DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging
Felix Wagner, Pramit Saha, Harry Anthony et al.
FAIR Universe HiggsML Uncertainty Dataset and Competition
Wahid Bhimji, Ragansu Chakkappai, Po-Wen Chang et al.
The Dual Nature of Plasticity Loss in Deep Continual Learning: Dissection and Mitigation
Haoyu Wang, Wei Dai, Jiawei Zhang et al.
PANORAMA: A Dataset and Benchmarks Capturing Decision Trails and Rationales in Patent Examination
Hyunseung Lim, Sooyohn Nam, Sungmin Na et al.
BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing
Jinsu Kim, Yunhun Nam, Minseon Kim et al.
Multi-Scale Finetuning for Encoder-based Time Series Foundation Models
Zhongzheng Qiao, Chenghao Liu, Yiming Zhang et al.
EverybodyDance: Bipartite Graph–Based Identity Correspondence for Multi-Character Animation
Haotian Ling, Zequn Chen, Qiuying Chen et al.
NeuroPath: Neurobiology-Inspired Path Tracking and Reflection for Semantically Coherent Retrieval
Junchen Li, Rongzheng Wang, Yihong Huang et al.
Improving Model-Based Reinforcement Learning by Converging to Flatter Minima
Shrinivas Ramasubramanian, Benjamin Freed, Alexandre Capone et al.
Data-Dependent Regret Bounds for Constrained MABs
Gianmarco Genalti, Francesco Emanuele Stradi, Matteo Castiglioni et al.
Anomaly Detection by an Ensemble of Random Pairs of Hyperspheres
Walid Durani, Collin Leiber, Khalid Durani et al.
Understanding the Gain from Data Filtering in Multimodal Contrastive Learning
Divyansh Pareek, Sewoong Oh, Simon Du
Focus-Then-Reuse: Fast Adaptation in Visual Perturbation Environments
Jiahui Wang, Chao Chen, Jiacheng Xu et al.
FastDINOv2: Frequency Based Curriculum Learning Improves Robustness and Training Speed
Jiaqi Zhang, Juntuo Wang, Zhixin Sun et al.
Achilles' Heel of Mamba: Essential difficulties of the Mamba architecture demonstrated by synthetic data
Tianyi Chen, Pengxiao Lin, Zhiwei Wang et al.
TAPAS: Datasets for Learning the Learning with Errors Problem
Eshika Saxena, Alberto Alfarano, Francois Charton et al.
Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
Simin Li, Zihao Mao, Hanxiao Li et al.
Luminance-Aware Statistical Quantization: Unsupervised Hierarchical Learning for Illumination Enhancement
Derong Kong, Zhixiong Yang, Shengxi Li et al.
Efficient Bayesian Experiment Design with Equivariant Networks
Conor Igoe, Tejus Gupta, Jeff Schneider
URB - Urban Routing Benchmark for RL-equipped Connected Autonomous Vehicles
Ahmet Onur Akman, Anastasia Psarou, Michał Hoffmann et al.
Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification
Xiaobao Wang, Ruoxiao Sun, Yujun Zhang et al.
Boundary-to-Region Supervision for Offline Safe Reinforcement Learning
Huikang Su, Dengyun Peng, Zifeng Zhuang et al.
MIBP-Cert: Certified Training against Data Perturbations with Mixed-Integer Bilinear Programs
Tobias Lorenz, Marta Kwiatkowska, Mario Fritz
Last-Iterate Convergence of Smooth Regret Matching$^+$ Variants in Learning Nash Equilibria
Linjian Meng, Youzhi Zhang, Zhenxing Ge et al.
Polyline Path Masked Attention for Vision Transformer
Zhongchen Zhao, Chaodong Xiao, Hui LIN et al.
Generalization Guarantees for Learning Score-Based Branch-and-Cut Policies in Integer Programming
Hongyu Cheng, Amitabh Basu
CG-SSL: Concept-Guided Self-Supervised Learning
Sara Atito, Josef Kittler, Imran Razzak et al.
Towards Irreversible Attack: Fooling Scene Text Recognition via Multi-Population Coevolution Search
Jingyu Li, Pengwen Dai, Mingqing Zhu et al.
Learning and Planning Multi-Agent Tasks via an MoE-based World Model
Zijie Zhao, Zhongyue Zhao, Kaixuan Xu et al.
SuffixDecoding: Extreme Speculative Decoding for Emerging AI Applications
Gabriele Oliaro, Zhihao Jia, Daniel Campos et al.
SpaceServe: Spatial Multiplexing of Complementary Encoders and Decoders for Multimodal LLMs
zhicheng li, Shuoming Zhang, Jiacheng Zhao et al.
LeMiCa: Lexicographic Minimax Path Caching for Efficient Diffusion-Based Video Generation
Huanlin Gao, Ping Chen, Fuyuan Shi et al.
InstructRestore: Region-Customized Image Restoration with Human Instructions
Shuaizheng Liu, Jianqi Ma, Lingchen Sun et al.
Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence
Octave Mariotti, Zhipeng Du, Yash Bhalgat et al.
GAM-Agent: Game-Theoretic and Uncertainty-Aware Collaboration for Complex Visual Reasoning
jusheng zhang, Yijia Fan, Wenjun Lin et al.
Comparing Uniform Price and Discriminatory Multi-Unit Auctions through Regret Minimization
Marius Potfer, Vianney Perchet
LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss
Pau Rodriguez, Michal Klein, Eleonora Gualdoni et al.
Self-Assembling Graph Perceptrons
Jialong Chen, Tong Wang, Bowen Deng et al.
Towards Implicit Aggregation: Robust Image Representation for Place Recognition in the Transformer Era
Feng Lu, Tong Jin, Canming Ye et al.
ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation
Xiaomeng Yang, LEI LU, Qihui Fan et al.
Estimating Hitting Times Locally at Scale
Themistoklis Haris, Fabian Spaeh, Spyridon Konstantinos Dragazis et al.
Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free Lunch
Xu Cai, Yang Wu, Qianli Chen et al.
Preference-Based Dynamic Ranking Structure Recognition
Nan Lu, Jian Shi, Xinyu Tian
Dynamic Regret Reduces to Kernelized Static Regret
Andrew Jacobsen, Alessandro Rudi, Francesco Orabona et al.
Let the LLM Stick to Its Strengths: Learning to Route Economical LLM
Yi-Kai Zhang, Shiyin Lu, Qingguo Chen et al.
Orientation Matters: Making 3D Generative Models Orientation-Aligned
Yichong Lu, Yuzhuo Tian, Zijin Jiang et al.
Nyström-Accelerated Primal LS-SVMs: Breaking the $O(an^3)$ Complexity Bottleneck for Scalable ODEs Learning
Weikuo Wang, Yue Liao, Huan Luo
A Geometry-Aware Metric for Mode Collapse in Time Series Generative Models
Yassine ABBAHADDOU, Amine Aboussalah
Temporal Smoothness-Aware Rate-Distortion Optimized 4D Gaussian Splatting
Hyeongmin Lee, Kyungjune Baek
Data Selection Matters: Towards Robust Instruction Tuning of Large Multimodal Models
Xu Yang, Chen Liu, Ying Wei
An Effective Levelling Paradigm for Unlabeled Scenarios
Fangming Cui, Zhou Yu, Di Yang et al.
Tradeoffs between Mistakes and ERM Oracle Calls in Online and Transductive Online Learning
Idan Attias, Steve Hanneke, Arvind Ramaswami
The Complexity of Finding Local Optima in Contrastive Learning
Jingming Yan, Yiyuan Luo, Vaggos Chatziafratis et al.
Revisiting Consensus Error: A Fine-grained Analysis of Local SGD under Second-order Data Heterogeneity
Kumar Kshitij Patel, Ali Zindari, Sebastian Stich et al.
Can Diffusion Models Disentangle? A Theoretical Perspective
Liming Wang, Muhammad Jehanzeb Mirza, Yishu Gong et al.
Offline imitation learning in $Q^\pi$-realizable MDPs without expert realizability
Antoine Moulin, Gergely Neu, Luca Viano
FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens
Chao Wang, Yixin Song, Jinhui Ye et al.
SeePhys: Does Seeing Help Thinking? – Benchmarking Vision-Based Physics Reasoning
Kun Xiang, Heng Li, Terry Jingchen Zhang et al.
Hippocampal-like Sequential Editing for Continual Knowledge Updates in Large Language Models
Quntian Fang, Zhen Huang, Zhiliang Tian et al.
SGN: Shifted Window-Based Hierarchical Variable Grouping for Multivariate Time Series Classification
Zenan Ying, Zhi Zheng, huijun hou et al.
Zero-shot Denoising via Neural Compression: Theoretical and algorithmic framework
Ali Zafari, Xi Chen, Shirin Jalali
\(\varepsilon\)-Optimally Solving Two-Player Zero-Sum POSGs
Erwan escudie, Matthia Sabatelli, Olivier Buffet et al.
Breaking AR’s Sampling Bottleneck: Provable Acceleration via Diffusion Language Models
Gen Li, Changxiao Cai
FreqPolicy: Frequency Autoregressive Visuomotor Policy with Continuous Tokens
Yiming Zhong, Yumeng Liu, Chuyang Xiao et al.
LT-Soups: Bridging Head and Tail Classes via Subsampled Model Soups
Masih Aminbeidokhti, Subhankar Roy, Eric Granger et al.
D-VST: Diffusion Transformer for Pathology-Correct Tone-Controllable Cross-Dye Virtual Staining of Whole Slide Images
shurong yang, Dong Wei, Yihuang Hu et al.
AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems
Yingxuan Yang, Huacan Chai, Shuai Shao et al.