Most Cited NEURIPS "mutual learning" Papers
5,858 papers found • Page 15 of 30
Conference
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP
Yinqi Li, Jiahe Zhao, Hong Chang et al.
RPG360: Robust 360 Depth Estimation with Perspective Foundation Models and Graph Optimization
Dongki Jung, Jaehoon Choi, Yonghan Lee et al.
Steering When Necessary: Flexible Steering Large Language Models with Backtracking
Zifeng Cheng, Jinwei Gan, Zhiwei Jiang et al.
iFinder: Structured Zero-Shot Vision-Based LLM Grounding for Dash-Cam Video Reasoning
Manyi Yao, Bingbing Zhuang, Sparsh Garg et al.
ModHiFi: Identifying High Fidelity predictive components for Model Modification
Dhruva Kashyap, Chaitanya Murti, Pranav K Nayak et al.
PAC-Bayes Bounds for Multivariate Linear Regression and Linear Autoencoders
Ruixin Guo, Ruoming Jin, Xinyu Li et al.
Robust Hyperbolic Learning with Curvature-Aware Optimization
Ahmad Bdeir, Johannes Burchert, Lars Schmidt-Thieme et al.
Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization
Tianjun Yao, Haoxuan Li, Yongqiang Chen et al.
DoDo-Code: an Efficient Levenshtein Distance Embedding-based Code for 4-ary IDS Channel
Alan J.X. Guo, Sihan Sun, Xiang Wei et al.
CTSketch: Compositional Tensor Sketching for Scalable Neurosymbolic Learning
Seewon Choi, Alaia Solko-Breslin, Rajeev Alur et al.
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random
Binh Ho, Long Nguyen-Chi, TrungTin Nguyen et al.
Active Measurement: Efficient Estimation at Scale
Max Hamilton, Jinlin Lai, Wenlong Zhao et al.
Walking the Schrödinger Bridge: A Direct Trajectory for Text-to-3D Generation
Ziying Li, Xuequan Lu, Xinkui Zhao et al.
Unveiling Environmental Sensitivity of Individual Gains in Influence Maximization
Xinyan Su, Zhiheng Zhang, Jiyan Qiu et al.
Quantifying Uncertainty in the Presence of Distribution Shifts
Yuli Slavutsky, David Blei
Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection
Michelle Yuan, Khushbu Pahwa, Shuaichen Chang et al.
Exploring Polyglot Harmony: On Multilingual Data Allocation for Large Language Models Pretraining
Ping Guo, Yubing Ren, BINBINLIU et al.
Understanding and Enhancing Mask-Based Pretraining towards Universal Representations
Mingze Dong, Leda Wang, Yuval Kluger
Prediction-Powered Semi-Supervised Learning with Online Power Tuning
Noa Shoham, Ron Dorfman, Shalev Shaer et al.
Injecting Frame-Event Complementary Fusion into Diffusion for Optical Flow in Challenging Scenes
Haonan Wang, Hanyu Zhou, Haoyue Liu et al.
Learning to Condition: A Neural Heuristic for Scalable MPE Inference
Brij Malhotra, Shivvrat Arya, Tahrima Rahman et al.
Improved Training Technique for Shortcut Models
Anh Nguyen, Viet Nguyen, Duc Vu et al.
Neural B-frame Video Compression with Bi-directional Reference Harmonization
Yuxi Liu, jin dengchao, Shuai Huo et al.
Conditioning Matters: Training Diffusion Policies is Faster Than You Think
Zibin Dong, Yicheng Liu, Yinchuan Li et al.
Quantifying Statistical Significance of Deep Nearest Neighbor Anomaly Detection via Selective Inference
Mizuki Niihori, Shuichi Nishino, Teruyuki Katsuoka et al.
C$^2$Prompt: Class-aware Client Knowledge Interaction for Federated Continual Learning
Kunlun Xu, Yibo Feng, Jiangmeng Li et al.
Contrastive Consolidation of Top-Down Modulations Achieves Sparsely Supervised Continual Learning
Viet Anh Khoa Tran, Emre Neftci, Willem Wybo
Kinaema: a recurrent sequence model for memory and pose in motion
Mert Bulent Sariyildiz, Philippe Weinzaepfel, Guillaume Bono et al.
Are Large Language Models Sensitive to the Motives Behind Communication?
Addison J. Wu, Ryan Liu, Kerem Oktar et al.
CoIDO: Efficient Data Selection for Visual Instruction Tuning via Coupled Importance-Diversity Optimization
Yichen Yan, Ming Zhong, Qi Zhu et al.
Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles
Kushagra Gupta, Surya Murthy, Mustafa Karabag et al.
Finding and Reactivating Post-Trained LLMs' Hidden Safety Mechanisms
Mingjie Li, Wai Man Si, Michael Backes et al.
Point Cloud Synthesis Using Inner Product Transforms
Ernst Röell, Bastian Rieck
What Does It Take to Build a Performant Selective Classifier?
Stephan Rabanser, Nicolas Papernot
Neural Atlas Graphs for Dynamic Scene Decomposition and Editing
Jan Philipp Schneider, Pratik S. Bisht, Ilya Chugunov et al.
SQS: Enhancing Sparse Perception Models via Query-based Splatting in Autonomous Driving
Haiming Zhang, Yiyao Zhu, Wending Zhou et al.
Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?
Junchi Yu, Yujie Liu, Jindong Gu et al.
DP-LLM: Runtime Model Adaptation with Dynamic Layer-wise Precision Assignment
Sangwoo Kwon, Seong Hoon Seo, Jae W. Lee et al.
Self Iterative Label Refinement via Robust Unlabeled Learning
Hikaru Asano, Tadashi Kozuno, Yukino Baba
AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection
Saleh Momeni, Changnan Xiao, Bing Liu
Missing Data Imputation by Reducing Mutual Information with Rectified Flows
Jiahao Yu, Qizhen Ying, Leyang Wang et al.
NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation
Longtian Qiu, Shan Ning, Jiaxuan Sun et al.
Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data
Duong Nguyen, Nghia Hoang, Thanh Trung Huynh et al.
Online Learning of Pure States is as Hard as Mixed States
Maxime Meyer, Soumik Adhikary, Naixu Guo et al.
ARGenSeg: Image Segmentation with Autoregressive Image Generation Model
Xiaolong Wang, Lixiang Ru, Ziyuan Huang et al.
INC: An Indirect Neural Corrector for Auto-Regressive Hybrid PDE Solvers
Hao Wei, Aleksandra Franz, Björn List et al.
Value Improved Actor Critic Algorithms
Yaniv Oren, Moritz Zanger, Pascal van der Vaart et al.
Curious Causality-Seeking Agents Learn Meta Causal World
Zhiyu Zhao, Haoxuan Li, Haifeng Zhang et al.
On the Complexity of Finding Stationary Points in Nonconvex Simple Bilevel Optimization
Jincheng Cao, Ruichen Jiang, Erfan Yazdandoost Hamedani et al.
C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models
Amir Hossein Rahmati, Sanket Jantre, Weifeng Zhang et al.
Uncertainty Estimation on Graphs with Structure Informed Stochastic Partial Differential Equations
Fred Xu, Thomas Markovich
Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions
Marc Brooks, Gabriel Durham, Kihyuk Hong et al.
miniF2F-Lean Revisited: Reviewing Limitations and Charting a Path Forward
Azim Ospanov, Farzan Farnia, Roozbeh Yousefzadeh
Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation
Wei Yang, Rui Zhong, Yiqun Chen et al.
Wukong's 72 Transformations: High-fidelity Textured 3D Morphing via Flow Models
Minghao Yin, Yukang Cao, Kai Han
Dimension-adapted Momentum Outscales SGD
Damien Ferbach, Katie Everett, Gauthier Gidel et al.
Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning
Jisoo Kim, Sungmin Kang, Sunwoo Lee
Geometric Mixture Models for Electrolyte Conductivity Prediction
Anyi Li, Jiacheng Cen, Songyou Li et al.
Learning Stochastic Multiscale Models
Andrew F. Ilersich, Prasanth Nair
Motion Matters: Compact Gaussian Streaming for Free-Viewpoint Video Reconstruction
Jiacong Chen, Qingyu Mao, Youneng Bao et al.
EUGens: Efficient, Unified and General Dense Layers
Sang Min Kim, Byeongchan Kim, Arijit Sehanobish et al.
Communication-Efficient Diffusion Denoising Parallelization via Reuse-then-Predict Mechanism
Kunyun Wang, Bohan Li, Kai Yu et al.
CausalDynamics: A large‐scale benchmark for structural discovery of dynamical causal models
Benjamin Herdeanu, Juan Nathaniel, Carla Roesch et al.
The Flood Complex: Large-Scale Persistent Homology on Millions of Points
Florian Graf, Paolo Pellizzoni, Martin Uray et al.
Multiresolution Analysis and Statistical Thresholding on Dynamic Networks
Raphael Romero, Tijl De Bie, Nick Heard et al.
On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting
Yisong Fu, Fei Wang, Zezhi Shao et al.
LT-Soups: Bridging Head and Tail Classes via Subsampled Model Soups
Masih Aminbeidokhti, Subhankar Roy, Eric Granger et al.
Gaussian Process Upper Confidence Bound Achieves Nearly-Optimal Regret in Noise-Free Gaussian Process Bandits
Shogo Iwazaki
$i$MIND: Insightful Multi-subject Invariant Neural Decoding
Zixiang Yin, Jiarui Li, Zhengming Ding
LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions
Chaochen Gao, Xing W, Zijia Lin et al.
The Complexity of Correlated Equilibria in Generalized Games
Martino Bernasconi, Matteo Castiglioni, Andrea Celli et al.
MindForge: Empowering Embodied Agents with Theory of Mind for Lifelong Cultural Learning
Mircea Lică, Ojas Shirekar, Baptiste Colle et al.
Temporal Smoothness-Aware Rate-Distortion Optimized 4D Gaussian Splatting
Hyeongmin Lee, Kyungjune Baek
MetaFind: Scene-Aware 3D Asset Retrieval for Coherent Metaverse Scene Generation
Zhenyu Pan, Yucheng Lu, Han Liu
Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
Kai Wang, Siqiang Luo, Caihua Shan et al.
How to Auto-optimize Prompts for Domain Tasks? Adaptive Prompting and Reasoning through Evolutionary Domain Knowledge Adaptation
Yang Zhao, Pu Wang, Hao Frank Yang
From Cradle to Cane: A Two-Pass Framework for High-Fidelity Lifespan Face Aging
Tao Liu, Dafeng Zhang, Gengchen Li et al.
Wavelet Canonical Coherence for Nonstationary Signals
Haibo Wu, Marina Knight, Keiland Cooper et al.
Two‑Stage Learning of Stabilizing Neural Controllers via Zubov Sampling and Iterative Domain Expansion
Haoyu Li, Xiangru Zhong, Bin Hu et al.
Less Is More, but Where? Dynamic Token Compression via LLM-Guided Keyframe Prior
Yulin Li, Haokun GUI, Ziyang Fan et al.
Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence
Octave Mariotti, Zhipeng Du, Yash Bhalgat et al.
FineRS: Fine-grained Reasoning and Segmentation of Small Objects with Reinforcement Learning
Lu Zhang, Jiazuo Yu, Haomiao Xiong et al.
InstructRestore: Region-Customized Image Restoration with Human Instructions
Shuaizheng Liu, Jianqi Ma, Lingchen Sun et al.
Flex-Judge: Text-Only Reasoning Unleashes Zero-Shot Multimodal Evaluators
Jongwoo Ko, Sungnyun Kim, Sungwoo Cho et al.
Bilevel ZOFO: Efficient LLM Fine-Tuning and Meta-Training
Reza Shirkavand, Peiran Yu, Qi He et al.
TrackingWorld: World-centric Monocular 3D Tracking of Almost All Pixels
Jiahao Lu, Weitao Xiong, Jiacheng Deng et al.
Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization
Kuan Zhang, Chengliang Chai, Jingzhe Xu et al.
Interpretable Next-token Prediction via the Generalized Induction Head
Eunji Kim, Sriya Mantena, Weiwei Yang et al.
Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel
Yilan Chen, Zhichao Wang, Wei Huang et al.
A Geometric Analysis of PCA
Ayoub El Hanchi, Murat Erdogdu, Chris Maddison
Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approach
Yuting Huang, Ziquan Fang, Zhihao Zeng et al.
Towards Robust Zero-Shot Reinforcement Learning
Kexin ZHENG, Lauriane Teyssier, Yinan Zheng et al.
Training-free Detection of AI-generated images via Cropping Robustness
Sungik Choi, Hankook Lee, Moontae Lee
Zero-shot Denoising via Neural Compression: Theoretical and algorithmic framework
Ali Zafari, Xi Chen, Shirin Jalali
EditInfinity: Image Editing with Binary-Quantized Generative Models
Jiahuan Wang, Yuxin Chen, Jun Yu et al.
DETree: DEtecting Human-AI Collaborative Texts via Tree-Structured Hierarchical Representation Learning
Yongxin He, Shan Zhang, Yixuan Cao et al.
A Generalized Binary Tree Mechanism for Private Approximation of All-Pair Shortest Distances
Zongrui Zou, Chenglin Fan, Michael Dinitz et al.
Statistical Inference for Gradient Boosting Regression
Haimo Fang, Kevin Tan, Giles Hooker
It’s Hard to Be Normal: The Impact of Noise on Structure-agnostic Estimation
Jikai Jin, Lester Mackey, Vasilis Syrgkanis
STRIDER: Navigation via Instruction-Aligned Structural Decision Space Optimization
Diqi He, Xuehao Gao, Hao Li et al.
Learning with Restricted Boltzmann Machines: Asymptotics of AMP and GD in High Dimensions
Yizhou Xu, Florent Krzakala, Lenka Zdeborová
CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation
Marc Lafon, Gustavo Vargas Hakim, Clément Rambour et al.
Tight Generalization Bounds for Large-Margin Halfspaces
Kasper Green Larsen, Natascha Schalburg
UnCLe: Towards Scalable Dynamic Causal Discovery in Non-linear Temporal Systems
Tingzhu Bi, Yicheng Pan, Xinrui Jiang et al.
FastDINOv2: Frequency Based Curriculum Learning Improves Robustness and Training Speed
Jiaqi Zhang, Juntuo Wang, Zhixin Sun et al.
ProSpero: Active Learning for Robust Protein Design Beyond Wild-Type Neighborhoods
Michal Kmicikiewicz, Vincent Fortuin, Ewa Szczurek
Pinpointing Attention-Causal Communication in Language Models
Gabriel Franco, Mark Crovella
Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations
Olawale Salaudeen, Haoran Zhang, Kumail Alhamoud et al.
Visual Diversity and Region-aware Prompt Learning for Zero-shot HOI Detection
Chanhyeong Yang, Taehoon song, Jihwan Park et al.
Attention (as Discrete-Time Markov) Chains
Yotam Erel, Olaf Dünkel, Rishabh Dabral et al.
MODEM: A Morton-Order Degradation Estimation Mechanism for Adverse Weather Image Recovery
Hainuo Wang, Qiming Hu, Xiaojie Guo
RNNs perform task computations by dynamically warping neural representations
Arthur Pellegrino, Angus Chadwick
No-Regret Online Autobidding Algorithms in First-price Auctions
Yilin LI, Yuan Deng, Wei Tang et al.
Revisiting Bi-Linear State Transitions in Recurrent Neural Networks
Reza Ebrahimi, Roland Memisevic
A Differential and Pointwise Control Approach to Reinforcement Learning
Minh Nguyen, Chandrajit Bajaj
Equi-mRNA: Protein Translation Equivariant Encoding for mRNA Language Models
Mehdi Yazdani-Jahromi, Ali Khodabandeh Yalabadi, Ozlem Garibay
Enhancing Infrared Vision: Progressive Prompt Fusion Network and Benchmark
Jinyuan Liu, Zihang Chen, Zhu Liu et al.
SceneDesigner: Controllable Multi-Object Image Generation with 9-DoF Pose Manipulation
Zhenyuan Qin, Xincheng Shuai, Henghui Ding
MAPLE: Multi-scale Attribute-enhanced Prompt Learning for Few-shot Whole Slide Image Classification
Junjie Zhou, WEI SHAO, Yagao Yue et al.
Prompt Tuning Decision Transformers with Structured and Scalable Bandits
Finn Rietz, Oleg Smirnov, Sara Karimi et al.
Mint: A Simple Test-Time Adaptation of Vision-Language Models against Common Corruptions
Wenxuan Bao, Ruxi Deng, Jingrui He
Beyond $\tilde{O}(\sqrt{T})$ Constraint Violation for Online Convex Optimization with Adversarial Constraints
Abhishek Sinha, Rahul Vaze
Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models
Li Sun, Zhenhao Huang, Ming Zhang et al.
PDPO: Parametric Density Path Optimization
Sebastian Gutierrez Hernandez, Peng Chen, Hao-Min Zhou
Holistic Large-Scale Scene Reconstruction via Mixed Gaussian Splatting
Chuandong Liu, Huijiao Wang, Lei YU et al.
TRiCo: Triadic Game-Theoretic Co-Training for Robust Semi-Supervised Learning
Hongyang He, Xinyuan Song, Yangfan He et al.
Optimizing Retrieval for RAG via Reinforced Contrastive Learning
Jiawei Zhou, Lei Chen
Learning in Compact Spaces with Approximately Normalized Transformer
Jörg Franke, Urs Spiegelhalter, Marianna Nezhurina et al.
High-order Interactions Modeling for Interpretable Multi-Agent Q-Learning
Qinyu Xu, Yuanyang Zhu, Xuefei Wu et al.
Graph–Smoothed Bayesian Black-Box Shift Estimator and Its Information Geometry
Masanari Kimura
A Minimalist Example of Edge-of-Stability and Progressive Sharpening
Liming Liu, Zixuan Zhang, Simon Du et al.
Revisiting Logit Distributions for Reliable Out-of-Distribution Detection
Jiachen Liang, RuiBing Hou, Minyang Hu et al.
Shallow Flow Matching for Coarse-to-Fine Text-to-Speech Synthesis
Dong Yang, YIYI CAI, Yuki Saito et al.
Variational Task Vector Composition
Boyuan Zhang, Yingjun Du, Xiantong Zhen et al.
AI Debate Aids Assessment of Controversial Claims
Salman Rahman, Sheriff Issaka, Ashima Suvarna et al.
GeRaF: Neural Geometry Reconstruction from Radio Frequency Signals
Jiachen Lu, Hailan Shanbhag, Haitham Al Hassanieh
OverLayBench: A Benchmark for Layout-to-Image Generation with Dense Overlaps
Bingnan Li, Chen-Yu Wang, Haiyang Xu et al.
Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMs
Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla
Scaling can lead to compositional generalization
Florian Redhardt, Yassir Akram, Simon Schug
A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design
Haydn Jones, Natalie Maus, Josh magnus Ludan et al.
Bootstrap Off-policy with World Model
Guojian Zhan, Likun Wang, Xiangteng Zhang et al.
OpenHype: Hyperbolic Embeddings for Hierarchical Open-Vocabulary Radiance Fields
Lisa Weijler, Sebastian Koch, Fabio Poiesi et al.
Clip-and-Verify: Linear Constraint-Driven Domain Clipping for Accelerating Neural Network Verification
Duo Zhou, Jorge Chavez, Hesun Chen et al.
RDD: Retrieval-Based Demonstration Decomposer for Planner Alignment in Long-Horizon Tasks
Mingxuan Yan, Yuping Wang, Zechun Liu et al.
From Synapses to Dynamics: Obtaining Function from Structure in a Connectome Constrained Model of the Head Direction Circuit
Sunny Duan, Ling L. Dong, Ila Fiete
Mamba Goes HoME: Hierarchical Soft Mixture-of-Experts for 3D Medical Image Segmentation
Szymon Płotka, Gizem Mert, Maciej Chrabaszcz et al.
GeneFlow: Translation of Single-cell Gene Expression to Histopathological Images via Rectified Flow
Mengbo Wang, Shourya Verma, Aditya Malusare et al.
AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction
Niklas Freymuth, Tobias Würth, Nicolas Schreiber et al.
Self-Calibrating BCIs: Ranking and Recovery of Mental Targets Without Labels
Jonathan Grizou, Carlos De la Torre-Ortiz, Tuukka Ruotsalo
PixPerfect: Seamless Latent Diffusion Local Editing with Discriminative Pixel-Space Refinement
Haitian Zheng, Yuan Yao, yongsheng yu et al.
Generalizable Reasoning through Compositional Energy Minimization
Alexandru Oarga, Yilun Du
A Controllable Examination for Long-Context Language Models
Yijun Yang, Zeyu Huang, Wenhao Zhu et al.
CryptoMoE: Privacy-Preserving and Scalable Mixture of Experts Inference via Balanced Expert Routing
Yifan Zhou, Tianshi Xu, Jue Hong et al.
SAO-Instruct: Free-form Audio Editing using Natural Language Instructions
Michael Ungersböck, Florian Grötschla, Luca Lanzendörfer et al.
Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detection
Dongchan Cho, Jiho Han, Keumyeong Kang et al.
VimoRAG: Video-based Retrieval-augmented 3D Motion Generation for Motion Language Models
Haidong Xu, Guangwei Xu, Zhedong Zheng et al.
Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions
Simon Matrenok, Skander Moalla, Caglar Gulcehre
Bidirectional Motion Transformer for Safety-Critical Traffic Scenario Generation
Yuxin Liu, Zhenghao (Mark) Peng, Xuanhao Cui et al.
Explicitly Modeling Subcortical Vision with a Neuro-Inspired Front-End Improves CNN Robustness
Lucas Piper, Arlindo L Oliveira, Tiago Marques
Leveraging Depth and Language for Open-Vocabulary Domain-Generalized Semantic Segmentation
Siyu Chen, Ting Han, Chengzheng Fu et al.
Towards Interpretability Without Sacrifice: Faithful Dense Layer Decomposition with Mixture of Decoders
James Oldfield, Shawn Im, Sharon Li et al.
ReCon: Region-Controllable Data Augmentation with Rectification and Alignment for Object Detection
Haowei Zhu, Tianxiang Pan, Rui Qin et al.
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via $\textit{In-the-wild}$ Cascading Flow Optimization
Yixiao Chen, Shikun Sun, Jianshu Li et al.
NaViL: Rethinking Scaling Properties of Native Multimodal Large Language Models under Data Constraints
Changyao Tian, Hao Li, Gen Luo et al.
Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers
Youmin Ko, Sungjong Seo, Hyunjoon Kim
TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning
Sheng Wang, Pengan CHEN, Jingqi Zhou et al.
Explaining and Mitigating Crosslingual Tokenizer Inequities
Catherine Arnett, Tyler Chang, Stella Biderman et al.
Reliably detecting model failures in deployment without labels
Viet Nguyen, Changjian Shui, Vijay Giri et al.
RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of Relational Databases
Dongwon Choi, Sunwoo Kim, Juyeon Kim et al.
Conformal Online Learning of Deep Koopman Linear Embeddings
Ben Gao, Jordan Patracone, Stephane Chretien et al.
Neural Tangent Knowledge Distillation for Optical Convolutional Networks
Jinlin Xiang, Minho Choi, Yubo Zhang et al.
Grids Often Outperform Implicit Neural Representation at Compressing Dense Signals
Namhoon Kim, Sara Fridovich-Keil
Feature-Based Instance Neighbor Discovery: Advanced Stable Test-Time Adaptation in Dynamic World
Qinting Jiang, Chuyang Ye, Dongyan Wei et al.
DrivAerStar: An Industrial-Grade CFD Dataset for Vehicle Aerodynamic Optimization
Jiyan Qiu, Lyulin Kuang, Guan Wang et al.
Accelerating data-driven algorithm selection for combinatorial partitioning problems
Vaggos Chatziafratis, Ishani Karmarkar, Yingxi Li et al.
Linearly Constrained Diffusion Implicit Models
Vivek Jayaram, Ira Kemelmacher-Shlizerman, Steve Seitz et al.
Valid Inference with Imperfect Synthetic Data
Yewon Byun, Shantanu Gupta, Zachary Lipton et al.
Re-ttention: Ultra Sparse Visual Generation via Attention Statistical Reshape
Ruichen Chen, Keith Mills, Liyao Jiang et al.
Synthesizing Performance Constraints for Evaluating and Improving Code Efficiency
Jun Yang, Cheng-Chi Wang, Bogdan Stoica et al.
ReID5o: Achieving Omni Multi-modal Person Re-identification in a Single Model
Jialong Zuo, Yongtai Deng, Mengdan Tan et al.
Exponential Dynamic Energy Network for High Capacity Sequence Memory
Arjun Karuvally, Pichsinee Lertsaroj, Terrence Sejnowski et al.
Time-Masked Transformers with Lightweight Test-Time Adaptation for Neural Speech Decoding
Ebrahim Feghhi, Shreyas Kaasyap, Nima Hadidi et al.
Nonlinearly Preconditioned Gradient Methods: Momentum and Stochastic Analysis
Konstantinos Oikonomidis, Jan Quan, Panagiotis Patrinos
Energy-based generator matching: A neural sampler for general state space
Dongyeop Woo, Minsu Kim, Minkyu Kim et al.
Seemingly Redundant Modules Enhance Robust Odor Learning in Fruit Flies
HaiYang Li, Liao Yu, Qiang Yu et al.
Token Bottleneck: One Token to Remember Dynamics
Taekyung Kim, Dongyoon Han, Byeongho Heo et al.
LC-Opt: Benchmarking Reinforcement Learning and Agentic AI for End-to-End Liquid Cooling Optimization in Data Centers
Avisek Naug, Antonio Guillen-Perez, Vineet Kumar et al.
Look-Ahead Reasoning on Learning Platforms
Haiqing Zhu, Tijana Zrnic, Celestine Mendler-Dünner
Comprehensive Assessment and Analysis for NSFW Content Erasure in Text-to-Image Diffusion models
Die Chen, Zhiwen Li, Cen Chen et al.
Stochastically Dominant Peer Prediction
Yichi Zhang, Shengwei Xu, Grant Schoenebeck et al.
Self-Supervised Learning of Graph Representations for Network Intrusion Detection
Lorenzo Guerra, Thomas Chapuis, Guillaume Duc et al.
FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes
Christodoulos Constantinides, Dhaval Patel, Shuxin Lin et al.
Geometry of Decision Making in Language Models
Abhinav Joshi, Divyanshu Bhatt, Ashutosh Modi
Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization
Antonio Ribeiro, David Vävinggren, Dave Zachariah et al.
Risk Management for Mitigating Benchmark Failure Modes: BenchRisk
Sean McGregor, Vassil Tashev, Armstrong Foundjem et al.
Individual Regret in Cooperative Stochastic Multi-Armed Bandits
Idan Barnea, Tal Lancewicki, Yishay Mansour
AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs
Di He, Songjun Tu, Ajay Jaiswal et al.
What Really is a Member? Discrediting Membership Inference via Poisoning
Neal Mangaokar, Ashish Hooda, Zhuohang Li et al.
ConViS-Bench: Estimating Video Similarity Through Semantic Concepts
Benedetta Liberatori, Alessandro Conti, Lorenzo Vaquero et al.
How many measurements are enough? Bayesian recovery in inverse problems with general distributions
Ben Adcock, Zi Yuan (Nick) Huang