Most Cited NEURIPS "client-invariant representations" Papers
5,858 papers found • Page 23 of 30
Conference
Stop DDoS Attacking the Research Community with AI-Generated Survey Papers
Jianghao Lin, Rong Shan, Jiachen Zhu et al.
Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification
Chaewoon Bae, Doyun Choi, Jaehyun Lee et al.
Approximating Shapley Explanations in Reinforcement Learning
Daniel Beechey, Özgür Şimşek
FOCUS: Unified Vision-Language Modeling for Interactive Editing Driven by Referential Segmentation
Fan Yang, Yousong Zhu, Xin Li et al.
CAMO: Convergence-Aware Multi-Fidelity Bayesian Optimization
WEI XING, Zhenjie Lu, Akeel Shah
Infrequent Exploration in Linear Bandits
Harin Lee, Min-hwan Oh
Low-Rank Graphon Learning for Networks
Xinyuan Fan, Feiyan Ma, Chenlei Leng et al.
CyIN: Cyclic Informative Latent Space for Bridging Complete and Incomplete Multimodal Learning
Ronghao Lin, Qiaolin He, Sijie Mai et al.
Curl Descent : Non-Gradient Learning Dynamics with Sign-Diverse Plasticity
Hugo Ninou, Jonathan Kadmon, N Alex Cayco Gajic
Bridging Crypto with ML-based Solvers: the SAT Formulation and Benchmarks
Xinhao Zheng, Xinhao Song, Bolin Qiu et al.
Revealing Multimodal Causality with Large Language Models
Jin Li, Shoujin Wang, Qi Zhang et al.
Text-to-Code Generation for Modular Building Layouts in Building Information Modeling
YINYI WEI, Xiao LI
Learning 3D Anisotropic Noise Distributions Improves Molecular Force Fields
Xixian Liu, Rui Jiao, ZHIYUAN LIU et al.
NSNQuant: A Double Normalization Approach for Calibration-Free Low-Bit Vector Quantization of KV Cache
Donghyun Son, Euntae Choi, Sungjoo Yoo
Randomized-MLP Regularization Improves Domain Adaptation and Interpretability in DINOv2
Joel Valdivia Ortega, Lorenz Lamm, Franziska Eckardt et al.
Multi-Agent Imitation by Learning and Sampling from Factorized Soft Q-Function
Yi-Chen Li, Zhongxiang Ling, Tao Jiang et al.
Latent Principle Discovery for Language Model Self-Improvement
Keshav Ramji, Tahira Naseem, Ramón Astudillo
Omnidirectional 3D Scene Reconstruction from Single Image
Ren Yang, Jiahao Li, Yan Lu
DSCS: Fast CPDAG-Based Verification of Collapsible Submodels in High-Dimensional Bayesian Networks
Wentao Wu, Shiyuan He, Jianhua Guo
Analogy-based Multi-Turn Jailbreak against Large Language Models
Mengjie Wu, Yihao Huang, Zhenjun Lin et al.
CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving
Huitong Yang, Zhuoxiao Chen, Fengyi Zhang et al.
Bridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and Segmentation
Jianyang Qin, Chaoyang Li, Jinhao Cui et al.
Online Optimization for Offline Safe Reinforcement Learning
Yassine Chemingui, Aryan Deshwal, Alan Fern et al.
A Latent Multilayer Graphical Model For Complex, Interdependent Systems
Martin Ondrus, Ivor Cribben, Yang Feng
Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems
Alan Lahoud, Erik Schaffernicht, Johannes Andreas Stork
Mixture of Inputs: Text Generation Beyond Discrete Token Sampling
Yufan Zhuang, Liyuan Liu, Chandan Singh et al.
GeoRemover: Removing Objects and Their Causal Visual Artifacts
Zixin Zhu, Haoxiang Li, Xuelu Feng et al.
SIFusion: A Unified Fusion Framework for Multi-granularity Arctic Sea Ice Forecasting
Jingyi Xu, Shengnan Wang, Weidong Yang et al.
Routing Mamba: Scaling State Space Models with Mixture-of-Experts Projection
Zheng Zhan, Liliang Ren, Shuohang Wang et al.
Functional Complexity-adaptive Temporal Tensor Decomposition
Panqi Chen, Lei Cheng, Jianlong Li et al.
FlexAC: Towards Flexible Control of Associative Reasoning in Multimodal Large Language Models
shengming yuan, Xinyu Lyu, Shuailong Wang et al.
Holistic Order Prediction in Natural Scenes
Pierre Musacchio, Hyunmin Lee, Jaesik Park
Generalizable Insights for Graph Transformers in Theory and Practice
Timo Stoll, Luis Müller, Christopher Morris
BayeSQP: Bayesian Optimization through Sequential Quadratic Programming
Paul Brunzema, Sebastian Trimpe
Structured Sparse Transition Matrices to Enable State Tracking in State-Space Models
Aleksandar Terzic, Nicolas Menet, Michael Hersche et al.
TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting
Jaebin Lee, Hankook Lee
Spectral Conditioning of Attention Improves Transformer Performance
Hemanth Saratchandran, Simon Lucey
Hypergraph-Enhanced Contrastive Learning for Multi-View Clustering with Hyper-Laplacian Regularization
Zhibin Gu, weili wang
Scaling Data-Driven Probabilistic Robustness Analysis for Semantic Segmentation Neural Networks
Navid Hashemi, Samuel Sasaki, Ipek Oguz et al.
Bridging Expressivity and Scalability with Adaptive Unitary SSMs
Arjun Karuvally, Franz Nowak, Andy Keller et al.
Efficient Allocation of Working Memory Resource for Utility Maximization in Humans and Recurrent Neural Networks
Qingqing Yang, Hsin-Hung Li
Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery
Shiji Zhou, Tianbai Yu, Zhi Zhang et al.
Learning-Augmented Streaming Algorithms for Correlation Clustering
Yinhao Dong, Shan Jiang, Shi Li et al.
Machine Unlearning in 3D Generation: A Perspective-Coherent Acceleration Framework
Shixuan Wang, Jingwen Ye, Xinchao Wang
Learning Robust Vision-Language Models from Natural Latent Spaces
Zhangyun Wang, Ni Ding, Aniket Mahanti
Alias-Free ViT: Fractional Shift Invariance via Linear Attention
Hagay Michaeli, Daniel Soudry
EAReranker: Efficient Embedding Adequacy Assessment for Retrieval Augmented Generation
Dongyang Zeng, Yaping Liu, Wei Zhang et al.
Less is More: Improving LLM Alignment via Preference Data Selection
Xun Deng, Han Zhong, Rui Ai et al.
Learning to Learn with Contrastive Meta-Objective
Shiguang Wu, Yaqing Wang, Yatao Bian et al.
Adaptive Preference Arithmetic: A Personalized Agent with Adaptive Preference Arithmetic for Dynamic Preference Modeling
Hongyi Nie, Yaqing Wang, Mingyang Zhou et al.
Practical Kernel Selection for Kernel-based Conditional Independence Test
Wenjie Wang, Mingming Gong, Biwei Huang et al.
FedLPA: Local Prior Alignment for Heterogeneous Federated Generalized Category Discovery
Geeho Kim, Jinu Lee, Bohyung Han
Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing
Yilmazcan Ozyurt, Tunaberk Almaci, Stefan Feuerriegel et al.
Dynamic Test-Time Compute Scaling in Control Policy: Difficulty-Aware Stochastic Interpolant Policy
Inkook Chun, Seungjae Lee, Michael Albergo et al.
Coloring Learning for Heterophilic Graph Representation
Miaomiao Huang, Yuhai Zhao, Daniel Zhengkui Wang et al.
Subspace Networks: Scaling Decentralized Training with Communication-Efficient Model Parallelism
Sameera Ramasinghe, Thalaiyasingam Ajanthan, Gil Avraham et al.
On the Sample Complexity of Differentially Private Policy Optimization
Yi He, Xingyu Zhou
How Particle System Theory Enhances Hypergraph Message Passing
Yixuan Ma, Kai Yi, Pietro Lió et al.
MemEIC: A Step Toward Continual and Compositional Knowledge Editing
Jin Seong, Jiyun Park, Wencke Liermann et al.
ProDAG: Projected Variational Inference for Directed Acyclic Graphs
Ryan Thompson, Edwin Bonilla, Robert Kohn
Investigating Hallucinations of Time Series Foundation Models through Signal Subspace Analysis
Yufeng Zou, Zijian Wang, Diego Klabjan et al.
Efficient and Near-Optimal Algorithm for Contextual Dueling Bandits with Offline Regression Oracles
Aadirupa Saha, Robert Schapire
Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness
Mojtaba Kolahdouzi, Hatice Gunes, Ali Etemad
Joint Design of Protein Surface and Backbone Using a Diffusion Bridge Model
Guanlue Li, Xufeng Zhao, Fang Wu et al.
Improving planning and MBRL with temporally-extended actions
Palash Chatterjee, Roni Khardon
Probing Hidden Knowledge Holes in Unlearned LLMs
Myeongseob Ko, Hoang Anh Just, Charles Fleming et al.
Reinforcement Learning with Backtracking Feedback
Bilgehan Sel, Vaishakh Keshava, Phillip Wallis et al.
Neural Evolution Strategy for Black-box Pareto Set Learning
Chengyu Lu, Zhenhua Li, Xi Lin et al.
Approximate Gradient Coding for Distributed Learning with Heterogeneous Stragglers
Heekang Song, Wan Choi
Adaptive Time Encoding for Irregular Multivariate Time-Series Classification
Sangho Lee, Kyeongseo Min, Youngdoo Son et al.
OligoGym: Curated Datasets and Benchmarks for Oligonucleotide Drug Discovery
Rachapun Rotrattanadumrong, Carlo De Donno
Rectifying Shortcut Behaviors in Preference-based Reward Learning
Wenqian Ye, Guangtao Zheng, Aidong Zhang
Automated Detection of Visual Attribute Reliance with a Self-Reflective Agent
Christy Li, Josep Lopez Camuñas, Jake Touchet et al.
Rising from Ashes: Generalized Federated Learning via Dynamic Parameter Reset
Jiahao Wu, Ming Hu, Yanxin Yang et al.
ROVER: Recursive Reasoning Over Videos with Vision-Language Models for Embodied Tasks
Philip Schroeder, Ondrej Biza, Thomas Weng et al.
Memory-Augmented Potential Field Theory: A Framework for Adaptive Control in Non-Convex Domains
Dongzhe Zheng, Wenjie Mei
List-Level Distribution Coupling with Applications to Speculative Decoding and Lossy Compression
Joseph Rowan, Truong Buu Phan, Ashish Khisti
Kernel conditional tests from learning-theoretic bounds
Pierre-François Massiani, Christian Fiedler, Lukas Haverbeck et al.
ChatbotID: Identifying Chatbots with Granger Causality Test
Xiaoquan Yi, Haozhao Wang, Yining Qi et al.
Learning Preferences without Interaction for Cooperative AI: A Hybrid Offline-Online Approach
Haitong Ma, Haoran Yu, Haobo Fu et al.
How Classifier Features Transfer to Downstream: An Asymptotic Analysis in a Two-Layer Model
HEE BIN YOO, Sungyoon Lee, Cheongjae Jang et al.
Enhancing LLM Planning for Robotics Manipulation through Hierarchical Procedural Knowledge Graphs
Jiacong Zhou, Jiaxu Miao, xianyun wang et al.
Post Hoc Regression Refinement via Pairwise Rankings
Kevin Tirta Wijaya, Michael Sun, Minghao Guo et al.
Building 3D Representations and Generating Motions From a Single Image via Video-Generation
Weiming Zhi, Ziyong Ma, Tianyi Zhang et al.
ORBIT - Open Recommendation Benchmark for Reproducible Research with Hidden Tests
Jingyuan He, Jiongnan Liu, Vishan Oberoi et al.
Ascent Fails to Forget
Ioannis Mavrothalassitis, Pol Puigdemont, Noam Levi et al.
Length Generalization via Auxiliary Tasks
Pranjal Awasthi, Anupam Gupta, Ravi Kumar
Learning Simple Interpolants for Linear Integer Arithmetic
Minchao Wu, Naoki Kobayashi
Generalizing Single-Frame Supervision to Event-Level Understanding for Video Anomaly Detection
Junxi Chen, Liang Li, Yunbin Tu et al.
Finite Sample Analyses for Continuous-time Linear Systems: System Identification and Online Control
Hongyi Zhou, Jingwei Li, Jingzhao Zhang
PyraMotion: Attentional Pyramid-Structured Motion Integration for Co-Speech 3D Gesture Synthesis
Zhizhuo Yin, Yuk Hang Tsui, Pan Hui
Theoretical Investigation of Adafactor for Non-Convex Smooth Optimization
Yusu Hong, Junhong Lin
Seg-VAR:Image Segmentation with Visual Autoregressive Modeling
Rongkun Zheng, Lu Qi, Xi Chen et al.
Last Iterate Convergence in Monotone Mean Field Games
Noboru Isobe, Kenshi Abe, Kaito Ariu
Forecasting in Offline Reinforcement Learning for Non-stationary Environments
Suzan Ece Ada, Georg Martius, Emre Ugur et al.
Score-Based Diffusion Modeling for Nonparametric Empirical Bayes in Heteroscedastic Gaussian Mixtures
Gongyu Chen, Ying Cui
Alleviating Hallucinations in Large Language Models through Multi-Model Contrastive Decoding and Dynamic Hallucination Detection
Chenyu Zhu, Yefeng Liu, Hao Zhang et al.
ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge
Cuong Dao, The Hung Tran, Phi Le Nguyen et al.
Neural Stochastic Flows: Solver-Free Modelling and Inference for SDE Solutions
Naoki Kiyohara, Edward Johns, Yingzhen Li
Recurrent Memory for Online Interdomain Gaussian Processes
Wenlong Chen, Naoki Kiyohara, Harrison Zhu et al.
Dynamic Diffusion Schrödinger Bridge in Astrophysical Observational Inversions
Ye Zhu, Duo Xu, Zhiwei Deng et al.
Optical Coherence Tomography Harmonization with Anatomy-Guided Latent Metric Schrödinger Bridges
Shuwen Wei, Samuel Remedios, Blake Dewey et al.
NoPo-Avatar: Generalizable and Animatable Avatars from Sparse Inputs without Human Poses
Jing Wen, Alex Schwing, Shenlong Wang
Optimal Estimation of the Best Mean in Multi-Armed Bandits
Takayuki Osogami, Junya Honda, Junpei Komiyama
Graph-Based Attention for Differentiable MaxSAT Solving
Sota Moriyama, Katsumi Inoue
Object Concepts Emerge from Motion
Haoqian Liang, Xiaohui Wang, Zhichao Li et al.
Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models
Wen-Tse Chen, Jiayu Chen, Fahim Tajwar et al.
Degradation-Aware Dynamic Schrödinger Bridge for Unpaired Image Restoration
Jingjun Yi, Qi Bi, Hao Zheng et al.
Learning a Cross-Modal Schrödinger Bridge for Visual Domain Generalization
Hao Zheng, Jingjun Yi, Qi Bi et al.
Consistency of Physics-Informed Neural Networks for Second-Order Elliptic Equations
Yuqian Cheng, Zhuo Chen, Qian Lin
Breaking the Compression Ceiling: Data-Free Pipeline for Ultra-Efficient Delta Compression
Xiaohui Wang, Peng Ye, Chenyu Huang et al.
KOALA++: Efficient Kalman-Based Optimization with Gradient-Covariance Products
Zixuan XIa, Aram Davtyan, Paolo Favaro
WarpGAN: Warping-Guided 3D GAN Inversion with Style-Based Novel View Inpainting
Kaitao Huang, Yan Yan, Jing-Hao Xue et al.
Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death
Sihyung Park, Wenbin Lu, Shu Yang
Accelerating Optimization via Differentiable Stopping Time
Zhonglin Xie, Yiman Fong, Haoran Yuan et al.
Dynamic Focused Masking for Autoregressive Embodied Occupancy Prediction
Yuan Sun, Julio Contreras, Jorge Ortiz
AdvEDM: Fine-grained Adversarial Attack against VLM-based Embodied Agents
Yichen Wang, Hangtao Zhang, Hewen Pan et al.
Epistemic Uncertainty Estimation in Regression Ensemble Models with Pairwise Epistemic Estimators
Lucas Berry, David Meger
Counterfactual Implicit Feedback Modeling
Chuan Zhou, Lina Yao, Haoxuan Li et al.
IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector
Zheng CHEN, Yushi Feng, Jisheng Dang et al.
When No Paths Lead to Rome: Benchmarking Systematic Neural Relational Reasoning
Anirban Das, Muhammad Irtaza Khalid, Rafael Peñaloza et al.
Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning
Haomiao Qiu, Miao Zhang, Ziyue Qiao et al.
UniMotion: A Unified Motion Framework for Simulation, Prediction and Planning
Nan Song, Junzhe Jiang, jingyu li et al.
From Information to Generative Exponent: Learning Rate Induces Phase Transitions in SGD
Konstantinos Tsiolis, Alireza Mousavi-Hosseini, Murat Erdogdu
Hadamard Test is Sufficient for Efficient Quantum Gradient Estimation with Lie Algebraic Symmetries
Mohsen Heidari, Masih Mozakka, Wojciech Szpankowski
Handling Missing Responses under Cluster Dependence with Applications to Language Model Evaluation
Zhenghao Zeng, David Arbour, Avi Feller et al.
3D-GSRD: 3D Molecular Graph Auto-Encoder with Selective Re-mask Decoding
Chang Wu, ZHIYUAN LIU, Wen Shu et al.
MiCADangelo: Fine-Grained Reconstruction of Constrained CAD Models from 3D Scans
Ahmet Karadeniz, Dimitrios Mallis, Danila Rukhovich et al.
Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies
Jing Wang, Weiting Peng, Jing Tang et al.
Implicit Generative Property Enhancer
Pedro O. Pinheiro, Pan Kessel, Aya Ismail et al.
SAMPO: Scale-wise Autoregression with Motion Prompt for Generative World Models
Sen Wang, Jingyi Tian, Le Wang et al.
scPilot: Large Language Model Reasoning Toward Automated Single-Cell Analysis and Discovery
Yiming Gao, Zhen Wang, Jefferson Chen et al.
MIND: Material Interface Generation from UDFs for Non-Manifold Surface Reconstruction
Xuhui Chen, Fei Hou, Wencheng Wang et al.
Improving Task-Specific Multimodal Sentiment Analysis with General MLLMs via Prompting
Haoyu Zhang, Yinan Zhang, Chaolong Ying et al.
GeGS-PCR: Fast and Robust Color 3D Point Cloud Registration with Two-Stage Geometric-3DGS Fusion
Jiayi Tian, Haiduo Huang, Tian Xia et al.
StruDiCO: Structured Denoising Diffusion with Gradient-free Inference-stage Boosting for Memory and Time Efficient Combinatorial Optimization
Yu Wang, Yang Li, Junchi Yan et al.
Hierarchical Information Aggregation for Incomplete Multimodal Alzheimer's Disease Diagnosis
Chengliang Liu, Que Yuanxi, Qihao Xu et al.
Jacobian-Based Interpretation of Nonlinear Neural Encoding Model
Xiaohui Gao, Haoran Yang, cheng yue et al.
ARECHO: Autoregressive Evaluation via Chain-Based Hypothesis Optimization for Speech Multi-Metric Estimation
Jiatong Shi, Yifan Cheng, Bo-Hao Su et al.
Volume Transmission Implements Context Factorization to Target Online Credit Assignment and Enable Compositional Generalization
Matthew Bull, Po-Chen Kuo, Andrew Smith et al.
EventMG: Efficient Multilevel Mamba-Graph Learning for Spatiotemporal Event Representation
Sheng Wu, Lin Jin, Hui Feng et al.
CoT Information: Improved Sample Complexity under Chain-of-Thought Supervision
Awni Altabaa, Omar Montasser, John Lafferty
Reasoning Planning for Language Models
Ngoc Bao Nguyen, Trung Hieu Nguyen, Ruifeng She et al.
Fully Dynamic Algorithms for Chamfer Distance
Gramoz Goranci, Shaofeng Jiang, Peter Kiss et al.
BioOSS: A Bio-Inspired Oscillatory State System with Spatio-Temporal Dynamics
Zhongju Yuan, Geraint Wiggins, Dick Botteldooren
Adaptive Data-Borrowing for Improving Treatment Effect Estimation using External Controls
Qinwei Yang, Jingyi Li, Peng Wu
Actor-Free Continuous Control via Structurally Maximizable Q-Functions
Yigit Korkmaz, Urvi Bhuwania, Ayush Jain et al.
Time Reversal Symmetry for Efficient Robotic Manipulations in Deep Reinforcement Learning
Yunpeng Jiang, Jianshu Hu, Paul Weng et al.
DualFocus: Depth from Focus with Spatio-Focal Dual Variational Constraints
Sungmin Woo, Sangyoun Lee
Elastic Robust Unlearning of Specific Knowledge in Large Language Models
Yize Sui, Jing Ren, Wenjing Yang et al.
SPOT: Scalable Policy Optimization with Trees for Markov Decision Processes
Xuyuan Xiong, Pedro Chumpitaz-Flores, Kaixun Hua et al.
Single-Step Operator Learning for Conditioned Time-Series Diffusion Models
Hui Chen, Vikas Singh
Revisiting Residual Connections: Orthogonal Updates for Stable and Efficient Deep Networks
Giyeong Oh, Woohyun Cho, Siyeol Kim et al.
Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation
Jeongin Kim, Wonho Bae, YouLee Han et al.
Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment
Kaixun Jiang, Zhaoyu Chen, HaiJing Guo et al.
HubGT: Fast Graph Transformer with Decoupled Hierarchy Labeling
Ningyi Liao, Zihao Yu, Siqiang Luo et al.
Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises
Abdellah Rahmani, Pascal Frossard
From Pose to Muscle: Multimodal Learning for Piano Hand Muscle Electromyography
RUOFAN LIU, YICHEN PENG, Takanori Oku et al.
Fair Continuous Resource Allocation with Equality of Impact
Blossom Metevier, Dennis Wei, Karthikeyan Natesan Ramamurthy et al.
Towards Single-Source Domain Generalized Object Detection via Causal Visual Prompts
Chen Li, Huiying Xu, Changxin Gao et al.
Continual Gaussian Mixture Distribution Modeling for Class Incremental Semantic Segmentation
Guilin Zhu, Runmin Wang, Yuanjie Shao et al.
End-to-End Low-Light Enhancement for Object Detection with Learned Metadata from RAWs
Xuelin Shen, Haifeng Jiao, Yitong Wang et al.
More Than Just Functional: LLM-as-a-Critique for Efficient Code Generation
Derui Zhu, Dingfan Chen, jinfu chen et al.
Technical Debt in In-Context Learning: Diminishing Efficiency in Long Context
Taejong Joo, Diego Klabjan
Training-Free Test-Time Adaptation via Shape and Style Guidance for Vision-Language Models
Shenglong Zhou, Manjiang Yin, Leiyu Sun et al.
IOSTOM: Offline Imitation Learning from Observations via State Transition Occupancy Matching
Quang Anh Pham, Janaka Brahmanage, Tien Mai et al.
FAME: Adaptive Functional Attention with Expert Routing for Function-on-Function Regression
Yifei Gao, Yong Chen, Chen Zhang
Latency NMS Attacks: Is It Real Life or Is It Just Fantasy?
Jean-Philippe Monteuuis, Cong Chen, Jonathan Petit
How Does Sequence Modeling Architecture Influence Base Capabilities of Pre-trained Language Models? Exploring Key Architecture Design Principles to Avoid Base Capabilities Degradation
Xin Lu, Yanyan Zhao, Si Wei et al.
Graph-Theoretic Insights into Bayesian Personalized Ranking for Recommendation
Kai Zheng, Jianxin Wang, Jinhui Xu
URLs Help, Topics Guide: Understanding Metadata Utility in LLM Training
Dongyang Fan, Vinko Sabolčec, Martin Jaggi
DuSA: Fast and Accurate Dual-Stage Sparse Attention Mechanism Accelerating Both Training and Inference
Chong Wu, Jiawang Cao, Renjie Xu et al.
Embodied Crowd Counting
Runling Long, Yunlong Wang, Jia Wan et al.
X-Mahalanobis: Transformer Feature Mixing for Reliable OOD Detection
Tong Wei, Bolin Wang, Jiang-Xin Shi et al.
VR-Drive: Viewpoint-Robust End-to-End Driving with Feed-Forward 3D Gaussian Splatting
Hoonhee Cho, Jae-Young Kang, Giwon Lee et al.
The Good, the Bad and the Ugly: Meta-Analysis of Watermarks, Transferable Attacks and Adversarial Defenses
Greg Gluch, Berkant Turan, Sai Ganesh Nagarajan et al.
Bilevel Network Learning via Hierarchically Structured Sparsity
Jiayi Fan, Jingyuan Yang, Shuangge Ma et al.
Approximate Domain Unlearning for Vision-Language Models
Kodai Kawamura, Yuta Goto, Rintaro Yanagi et al.
Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples
Shiva Sreeram, Alaa Maalouf, Pratyusha Sharma et al.
ShoeFit: A New Dataset and Dual-image-stream DiT Framework for Virtual Footwear Try-On
Yuhan Li, Zhiyu Jin, Yifan Tong et al.
Rethinking Scale-Aware Temporal Encoding for Event-based Object Detection
Lin Zhu, Tengyu Long, Xiao Wang et al.
MI-TRQR: Mutual Information-Based Temporal Redundancy Quantification and Reduction for Energy-Efficient Spiking Neural Networks
Dengfeng Xue, Wenjuan Li, Yifan Lu et al.
Language‑Bias‑Resilient Visual Question Answering via Adaptive Multi‑Margin Collaborative Debiasing
Huanjia Zhu, Shuyuan Zheng, Yishu Liu et al.
HyperMixup: Hypergraph-Augmented with Higher-order Information Mixup
Kaixuan Yao, Zhuo Li, Jianqing Liang et al.
Learning from Demonstrations via Capability-Aware Goal Sampling
Yuanlin Duan, Yuning Wang, Wenjie Qiu et al.
Event-based HDR Structured Light
Jiacheng Fu, Yue Li, Xin Dong et al.
Cyclic Counterfactuals under Shift–Scale Interventions
Saptarshi Saha, Dhruv Rathore, Utpal Garain
V-CECE: Visual Counterfactual Explanations via Conceptual Edits
Nikolaos Spanos, Maria Lymperaiou, Giorgos Filandrianos et al.
A Bayesian Approach to Contextual Dynamic Pricing using the Proportional Hazards Model with Discrete Price Data
Dongguen Kim, Young-Geun Choi, Minwoo Chae
Scaling Epidemic Inference on Contact Networks: Theory and Algorithms
Guanghui Min, Yinhan He, Chen Chen
Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models
Benjamin Dupuis, Dario Shariatian, Maxime Haddouche et al.
REN: Fast and Efficient Region Encodings from Patch-Based Image Encoders
Savya Khosla, Sethuraman T V, Barnett Lee et al.
Pin the Tail on the Model: Blindfolded Repair of User-Flagged Failures in Text-to-Image Services
Gefei Tan, Ali Shahin Shamsabadi, Ellen Kolesnikova et al.
Consistent Supervised-Unsupervised Alignment for Generalized Category Discovery
Jizhou Han, Shaokun Wang, Yuhang He et al.
Glance2Gaze: Efficient Vision-Language Models from Glance Fusion to Gaze Compression
Juan Chen, Honglin liu, Yingying Ao et al.
FIGRDock: Fast Interaction-Guided Regression for Flexible Docking
Shikun Feng, Bicheng Lin, Yuanhuan Mo et al.
Enhancing Deep Batch Active Learning for Regression with Imperfect Data Guided Selection
Yinjie Min, Furong Xu, Xinyao Li et al.
Strategic Hypothesis Testing
Yatong Chen, Safwan Hossain, Yiling Chen
Scalable Exploration via Ensemble++
Yingru Li, Jiawei Xu, Baoxiang Wang et al.
The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements
Youssef Chaabouni, David Gamarnik