Most Cited NEURIPS "continual federated learning" Papers
5,858 papers found • Page 24 of 30
Conference
Fin3R: Fine-tuning Feed-forward 3D Reconstruction Models via Monocular Knowledge Distillation
Weining Ren, Hongjun Wang, Xiao Tan et al.
EPA: Boosting Event-based Video Frame Interpolation with Perceptually Aligned Learning
Yuhan Liu, LingHui Fu, Zhen Yang et al.
Statistics Caching Test-Time Adaptation for Vision-Language Models
Zenghao Guan, Yucan Zhou, Wu Liu et al.
FlexOLMo: Open Language Models for Flexible Data Use
Weijia Shi, Akshita Bhagia, Kevin Farhat et al.
Association-Focused Path Aggregation for Graph Fraud Detection
Tian Qiu, Wenda Li, Zunlei Feng et al.
From Human Attention to Diagnosis: Semantic Patch-Level Integration of Vision-Language Models in Medical Imaging
Dmitry Lvov, Ilya Pershin
Layer-Wise Modality Decomposition for Interpretable Multimodal Sensor Fusion
Jaehyun Park, Konyul Park, Daehun Kim et al.
SCOPE: Saliency-Coverage Oriented Token Pruning for Efficient Multimodel LLMs
Jinhong Deng, Wen Li, Joey Tianyi Zhou et al.
Mitigating Forgetting in LLM Fine-Tuning via Low-Perplexity Token Learning
Chao-Chung Wu, Zhi Rui Tam, Chieh-Yen Lin et al.
Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities
Can Rong, Xin Zhang, Yanxin Xi et al.
A Computationally Viable Numerical Gradient-based Technique for Optimal Covering Problems
Gokul Rajaraman, Debasish Chatterjee
Empower Words: DualGround for Structured Phrase and Sentence-Level Temporal Grounding
Minseok Kang, Minhyeok Lee, Minjung Kim et al.
Zero-Shot Performance Prediction for Probabilistic Scaling Laws
Viktoria Schram, Markus Hiller, Daniel Beck et al.
MOBO-OSD: Batch Multi-Objective Bayesian Optimization via Orthogonal Search Directions
Lam Ngo, Huong Ha, Jeffrey Chan et al.
Generalizable, real-time neural decoding with hybrid state-space models
Avery Hee-Woon Ryoo, Nanda H Krishna, Ximeng Mao et al.
Online Multi-Class Selection with Group Fairness Guarantee
Faraz Zargari, Hossein Jazi, Lyndon Hallett et al.
Adaptive Latent-Space Constraints in Personalized Federated Learning
Sana Ayromlou, David B. Emerson
Learning conformational ensembles of proteins based on backbone geometry
Nicolas Wolf, Leif Seute, Vsevolod Viliuga et al.
Towards Generalizable 3D Human Pose Estimation via Ensembles on Flat Loss Landscapes
Jumin Han, Jun-Hui Kim, Seong-Whan Lee
Taccel: Scaling Up Vision-based Tactile Robotics via High-performance GPU Simulation
Yuyang Li, Wenxin Du, Chang Yu et al.
Flow Field Reconstruction with Sensor Placement Policy Learning
Ruoyan Li, Guancheng Wan, Zijie Huang et al.
CARES: Comprehensive Evaluation of Safety and Adversarial Robustness in Medical LLMs
Sijia Chen, Xiaomin Li, mengxue zhang et al.
RepGuard: Adaptive Feature Decoupling for Robust Backdoor Defense in Large Language Models
Chenxu Niu, Jie Zhang, Yanbing Liu et al.
Explainable Reinforcement Learning from Human Feedback to Improve Alignment
Shicheng Liu, Siyuan Xu, Wenjie Qiu et al.
MoME: Mixture of Matryoshka Experts for Audio-Visual Speech Recognition
Umberto Cappellazzo, Minsu Kim, Pingchuan Ma et al.
Streaming Audio Generation from Discrete Tokens via Streaming Flow Matching
Ha-Yeong Choi, Sang-Hoon Lee
Improving LLM General Preference Alignment via Optimistic Online Mirror Descent
Yuheng Zhang, Dian Yu, Tao Ge et al.
PLD: A Choice-Theoretic List-Wise Knowledge Distillation
Ejafa Bassam, Dawei Zhu, Kaigui Bian
Refining Norms: A Post-hoc Framework for OOD Detection in Graph Neural Networks
Jiawei Gu, Ziyue Qiao, Zechao Li
Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity
Lutz Oettershagen, Othon Michail
BIPNN: Learning to Solve Binary Integer Programming via Hypergraph Neural Networks
Sen Bai, Chunqi Yang, Xin Bai et al.
No-Regret Thompson Sampling for Finite-Horizon Markov Decision Processes with Gaussian Processes
Jasmine Bayrooti, Sattar Vakili, Amanda Prorok et al.
RUAGO: Effective and Practical Retain-Free Unlearning via Adversarial Attack and OOD Generator
SangYong Lee, Sangjun Chung, Simon Woo
Virtual Fitting Room: Generating Arbitrarily Long Videos of Virtual Try-On from a Single Image
Junkun Chen, Aayush Bansal, Minh Vo et al.
Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning
Félix Lefebvre, Gael Varoquaux
GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents
Yuqi Zhou, Sunhao Dai, Shuai Wang et al.
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
Jifeng Hu, Sili Huang, Zhejian Yang et al.
PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding
Kangcong Li, Peng Ye, Chongjun Tu et al.
Timely Clinical Diagnosis through Active Test Selection
Silas Ruhrberg Estévez, Nicolás Astorga, Mihaela van der Schaar
How Far Are We from Optimal Reasoning Efficiency?
Jiaxuan Gao, Shu Yan, Qixin Tan et al.
VoxDet: Rethinking 3D Semantic Scene Completion as Dense Object Detection
Wuyang Li, Zhu Yu, Alexandre Alahi
Recurrent Attention-based Token Selection for Efficient Streaming Video-LLMs
Evangelos Dorovatas, Soroush Seifi, Gunshi Gupta et al.
Regret Lower Bounds for Decentralized Multi-Agent Stochastic Shortest Path Problems
Utkarsh Chavan, Prashant Trivedi, Nandyala Hemachandra
Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings
Erel Naor, Ofir Lindenbaum
Beyond Scalars: Concept-Based Alignment Analysis in Vision Transformers
Johanna Vielhaben, Dilyara Bareeva, Jim Berend et al.
Non-stationary Bandit Convex Optimization: A Comprehensive Study
Xiaoqi Liu, Dorian Baudry, Julian Zimmert et al.
Asymptotically exact variational flows via involutive MCMC kernels
Zuheng (David) Xu, Trevor Campbell
Simultaneous Statistical Inference for Off-Policy Evaluation in Reinforcement Learning
Tianpai Luo, Xinyuan Fan, Weichi Wu
Embodied Cognition Augmented End2End Autonomous Driving
Ling Niu, Xiaoji Zheng, han wang et al.
Causal Discovery and Inference through Next-Token Prediction
Eivinas Butkus, Nikolaus Kriegeskorte
Spectral Analysis of Representational Similarity with Limited Neurons
Hyunmo Kang, Abdulkadir Canatar, SueYeon Chung
Edit Less, Achieve More: Dynamic Sparse Neuron Masking for Lifelong Knowledge Editing in LLMs
Jinzhe Liu, Junshu Sun, Shufan Shen et al.
LoMix: Learnable Weighted Multi-Scale Logits Mixing for Medical Image Segmentation
Md Mostafijur Rahman, Radu Marculescu
CVGL: Causal Learning and Geometric Topology
Songsong Ouyang, Yingying Zhu
On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders
Wenyu Mao, Jiancan Wu, Guoqing Hu et al.
Hyper-Modality Enhancement for Multimodal Sentiment Analysis with Missing Modalities
Yan Zhuang, Minhao Liu, Wei Bai et al.
SubTrack++ : Gradient Subspace Tracking for Scalable LLM Training
Sahar Rajabi, Nayeema Nonta, Sirisha Rambhatla
Tight Bounds for Maximum Weight Matroid Independent Set and Matching in the Zero Communication Model
Ilan Doron-Arad
MGE-LDM: Joint Latent Diffusion for Simultaneous Music Generation and Source Extraction
Yunkee Chae, Kyogu Lee
Irrational Complex Rotations Empower Low-bit Optimizers
Zhen Tian, Xin Zhao, Ji-Rong Wen
TP-MDDN: Task-Preferenced Multi-Demand-Driven Navigation with Autonomous Decision-Making
Shanshan Li, Da Huang, Yu He et al.
Uni-RL: Unifying Online and Offline RL via Implicit Value Regularization
Haoran Xu, Liyuan Mao, Hui Jin et al.
Vertical Federated Feature Screening
Huajun Yin, Liyuan Wang, Yingqiu Zhu et al.
GenColor: Generative and Expressive Color Enhancement with Pixel-Perfect Texture Preservation
Yi Dong, Yuxi Wang, Xianhui Lin et al.
Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization
Natalie Maus, Kyurae Kim, Yimeng Zeng et al.
Low-degree evidence for computational transition of recovery rate in stochastic block model
Jingqiu Ding, Yiding Hua, Lucas Slot et al.
Memorization in Graph Neural Networks
Adarsh Jamadandi, Jing Xu, Adam Dziedzic et al.
Planning and Learning in Average Risk-aware MDPs
Weikai Wang, Erick Delage
DISCO: DISCrete nOise for Conditional Control in Text-to-Image Diffusion Models
Longquan Dai, Wu Ming, Dejiao Xue et al.
ThermalGen: Style-Disentangled Flow-Based Generative Models for RGB-to-Thermal Image Translation
Jiuhong Xiao, Roshan Nayak, Ning Zhang et al.
Continuous Q-Score Matching: Diffusion Guided Reinforcement Learning for Continuous-Time Control
Chengxiu HUA, Jiawen Gu, Yushun Tang
From Kolmogorov to Cauchy: Shallow XNet Surpasses KANs
Xin Li, Xiaotao Zheng, Zhihong Xia
Fully Autonomous Neuromorphic Navigation and Dynamic Obstacle Avoidance
Xiaochen Shang, Pengwei Luo, Xinning Wang et al.
Learning Spatial-Aware Manipulation Ordering
Yuxiang Yan, Zhiyuan Zhou, Xin Gao et al.
Towards a Geometric Understanding of Tensor Learning via the t-Product
Andong Wang, Yuning Qiu, Haonan Huang et al.
MURKA: Multi-Reward Reinforcement Learning with Knowledge Alignment for Optimization Tasks
WANTONG XIE, Yi-Xiang Hu, Jieyang Xu et al.
Transfer Learning on Edge Connecting Probability Estimation Under Graphon Model
Yuyao Wang, Yu-Hung Cheng, Debarghya Mukherjee et al.
Diffusion Models Meet Contextual Bandits
Imad Aouali
Streaming Federated Learning with Markovian Data
Khiem HUYNH, Malcolm Egan, Giovanni Neglia et al.
F-Adapter: Frequency-Adaptive Parameter-Efficient Fine-Tuning in Scientific Machine Learning
Hangwei Zhang, Chun Kang, Yan Wang et al.
Efficient Verified Unlearning For Distillation
Yijun Quan, Zushu Li, Giovanni Montana
KINDLE: Knowledge-Guided Distillation for Prior-Free Gene Regulatory Network Inference
Rui Peng, Yuchen Lu, Qichen Sun et al.
THD-BAR: Topology Hierarchical Derived Brain Autoregressive Modeling for EEG Generic Representations
Wenchao Yang, Weidong Yan, Wenkang Liu et al.
SurfelSplat: Learning Efficient and Generalizable Gaussian Surfel Representations for Sparse-View Surface Reconstruction
Chensheng Dai, Shengjun Zhang, Min Chen et al.
A Theoretical Framework for Grokking: Interpolation followed by Riemannian Norm Minimisation
Etienne Boursier, Scott Pesme, Radu-Alexandru Dragomir
Gaze-VLM: Bridging Gaze and VLMs through Attention Regularization for Egocentric Understanding
Anupam Pani, Yanchao Yang
Learning CAD Modeling Sequences via Projection and Part Awareness
Yang Liu, Daxuan Ren, Yijie Ding et al.
Dynamical modeling of nonlinear latent factors in multiscale neural activity with real-time inference
Eray Erturk, Maryam Shanechi
Predicting Functional Brain Connectivity with Context-Aware Deep Neural Networks
Alexander Ratzan, Sidharth Goel, Junhao Wen et al.
MOF-BFN: Metal-Organic Frameworks Structure Prediction via Bayesian Flow Networks
Rui Jiao, Hanlin Wu, Wenbing Huang et al.
CF-VLM：CounterFactual Vision-Language Fine-tuning
jusheng zhang, Kaitong Cai, Yijia Fan et al.
MoniTor: Exploiting Large Language Models with Instruction for Online Video Anomaly Detection
shengtian yang, Yue Feng, Yingshi Liu et al.
Universal Few-shot Spatial Control for Diffusion Models
Kiet Nguyen, Chanhyuk Lee, Donggyun Kim et al.
Collaborative and Confidential Junction Trees for Hybrid Bayesian Networks
Roberto Gheda, Abele Mălan, Thiago Guzella et al.
Pre-Trained Policy Discriminators are General Reward Models
Shihan Dou, Shichun Liu, Yuming Yang et al.
Fractional Langevin Dynamics for Combinatorial Optimization via Polynomial-Time Escape
Shiyue Wang, Ziao Guo, Changhong Lu et al.
Adaptive Sigmoid Clipping for Balancing the Direction–Magnitude Mismatch Trade-off in Differentially Private Learning
Faeze Moradi Kalarde, Ali Bereyhi, Ben Liang et al.
DyFlow: Dynamic Workflow Framework for Agentic Reasoning
Yanbo Wang, Zixiang Xu, Yue Huang et al.
Fast Non-Log-Concave Sampling under Nonconvex Equality and Inequality Constraints with Landing
Kijung Jeon, Michael Muehlebach, Molei Tao
Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning
Yuyang Deng, Samory Kpotufe
Quasi-Self-Concordant Optimization with $\ell_{\infty}$ Lewis Weights
Alina Ene, Ta Duy Nguyen, Adrian Vladu
Too Late to Recall: Explaining the Two-Hop Problem in Multimodal Knowledge Retrieval
Constantin Venhoff, Ashkan Khakzar, Sonia Joseph et al.
Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs
Guiyao Tie, Zenghui Yuan, Zeli Zhao et al.
Cypher-RI: Reinforcement Learning for Integrating Schema Selection into Cypher Generation
Hanchen Su, Xuyuan Li, Yan Zhou et al.
SALoM: Structure Aware Temporal Graph Networks with Long-Short Memory Updater
Hanwen Liu, Longjiao Zhang, Rui Wang et al.
A Tale of Two Symmetries: Exploring the Loss Landscape of Equivariant Models
YuQing Xie, Tess Smidt
Chirality in Action: Time-Aware Video Representation Learning by Latent Straightening
Piyush Nitin Bagad, Andrew Zisserman
NTKMTL: Mitigating Task Imbalance in Multi-Task Learning from Neural Tangent Kernel Perspective
Xiaohan Qin, Xiaoxing Wang, Ning Liao et al.
SpiderSolver: A Geometry-Aware Transformer for Solving PDEs on Complex Geometries
KAI QI, Fan Wang, Zhewen Dong et al.
Revisiting Frank-Wolfe for Structured Nonconvex Optimization
Hoomaan Maskan, Yikun Hou, Suvrit Sra et al.
Projective Equivariant Networks via Second-order Fundamental Differential Invariants
Yikang Li, Yeqing Qiu, Yuxuan Chen et al.
UniMRSeg: Unified Modality-Relax Segmentation via Hierarchical Self-Supervised Compensation
Xiaoqi Zhao, Youwei Pang, Chenyang Yu et al.
Skill-Driven Neurosymbolic State Abstractions
Alper Ahmetoglu, Steven James, Cameron Allen et al.
Sample-Efficient Multi-Round Generative Data Augmentation for Long-Tail Instance Segmentation
Byunghyun Kim, Minyoung Bae, Jae-Gil Lee
Sample-Adaptivity Tradeoff in On-Demand Sampling
Nika Haghtalab, Omar Montasser, Mingda Qiao
Dual-Space Semantic Synergy Distillation for Continual Learning of Unlabeled Streams
Donghao Sun, Xi Wang, Xu Yang et al.
TANDEM: Bi-Level Data Mixture Optimization with Twin Networks
Jiaxing Wang, Deping Xiang, Jin Xu et al.
Mitigating Instability in High Residual Adaptive Sampling for PINNs via Langevin Dynamics
Minseok Jeong, Giup Seo, Euiseok Hwang
ProtoPairNet: Interpretable Regression through Prototypical Pair Reasoning
Rose Gurung, Ronilo Ragodos, Chiyu Ma et al.
Online Bilateral Trade With Minimal Feedback: Don’t Waste Seller’s Time
Francesco Bacchiocchi, Matteo Castiglioni, Roberto Colomboni et al.
Fairness-aware Anomaly Detection via Fair Projection
Feng Xiao, Xiaoying Tang, Jicong Fan
Scalable Evaluation and Neural Models for Compositional Generalization
Giacomo Camposampiero, Pietro Barbiero, Michael Hersche et al.
Privacy Reasoning in Ambiguous Contexts
Ren Yi, Octavian Suciu, Adrian Gascon et al.
FlowFeat: Pixel-Dense Embedding of Motion Profiles
Nikita Araslanov, Anna Sonnweber, Daniel Cremers
Finding Low-Rank Matrix Weights in DNNs via Riemannian Optimization: RAdaGrad and RAdamW
Fengmiao Bian, Jinyang ZHENG, Ziyun Liu et al.
Rare Text Semantics Were Always There in Your Diffusion Transformer
seil kang, Woojung Han, Dayun Ju et al.
Deep Legendre Transform
Aleksey Minabutdinov, Patrick Cheridito
Re-coding for Uncertainties: Edge-awareness Semantic Concordance for Resilient Event-RGB Segmentation
Nan Bao, Yifan Zhao, Lin Zhu et al.
Refinement Methods for Distributed Distribution Estimation under $\ell^p$-Losses
Deheng Yuan, Tao Guo, Zhongyi Huang
Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration
Yonghao Liu, Yajun Wang, Chunli Guo et al.
Distributional LLM-as-a-Judge
Luyu Chen, Zeyu Zhang, Haoran Tan et al.
RidgeLoRA: Matrix Ridge Enhanced Low-Rank Adaptation of Large Language Models
Junda Zhu, Jun Ai, Yujun Li et al.
A Learning-Augmented Dynamic Programming Approach for Orienteering Problem with Time Windows
Guansheng Peng, Lining Xing, Fuyan Ma et al.
Rooms from Motion: Un-posed Indoor 3D Object Detection as Localization and Mapping
Justin Lazarow, Kai Kang, Afshin Dehghan
Pragmatic Heterogeneous Collaborative Perception via Generative Communication Mechanism
Junfei Zhou, Penglin Dai, Quanmin Wei et al.
Mitigating Sexual Content Generation via Embedding Distortion in Text-conditioned Diffusion Models
Jaesin Ahn, Heechul Jung
A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings
Xiaoang Xu, Shuo Wang, Xu Han et al.
Multi-head Temporal Latent Attention
Keqi Deng, Phil Woodland
RODS: Robust Optimization Inspired Diffusion Sampling for Detecting and Reducing Hallucination in Generative Models
Yiqi Tian, Pengfei Jin, Mingze Yuan et al.
Towards Identifiability of Hierarchical Temporal Causal Representation Learning
Zijian Li, Minghao Fu, Junxian Huang et al.
TreeSplat: Mergeable Tree for Deformable Gaussian Splatting
Qiuhong Shen, Xingyi Yang, Xinchao Wang
SmallKV: Small Model Assisted Compensation of KV Cache Compression for Efficient LLM Inference
Yi Zhao, Yajuan Peng, Nguyen Cam-Tu et al.
A Generalized Label Shift Perspective for Cross-Domain Gaze Estimation
Hao-Ran Yang, Xiaohui Chen, Chuan-Xian Ren
Scaling Law with Learning Rate Annealing
Howe Tissue, Venus Wang, Lu Wang
VA-GS: Enhancing the Geometric Representation of Gaussian Splatting via View Alignment
Qing Li, Huifang Feng, Xun Gong et al.
Uncover Governing Law of Pathology Propagation Mechanism Through A Mean-Field Game
Tingting Dan, Zhihao Fan, Guorong Wu
BrainMoE: Cognition Joint Embedding via Mixture-of-Expert Towards Robust Brain Foundation Model
Ziquan Wei, Tingting Dan, Tianlong Chen et al.
Revolutionizing Graph Aggregation: From Suppression to Amplification via BoostGCN
Jiaxin Wu, Chenglong Pang, Guangxiong Chen et al.
BecomingLit: Relightable Gaussian Avatars with Hybrid Neural Shading
Jonathan Schmidt, Simon Giebenhain, Matthias Niessner
Event-Driven Dynamic Scene Depth Completion
Zhiqiang Yan, Jianhao Jiao, Zhengxue Wang et al.
Hawaii: Hierarchical Visual Knowledge Transfer for Efficient Vision-Language Models
Yimu Wang, Mozhgan Nasr Azadani, Sean Sedwards et al.
Spik-NeRF: Spiking Neural Networks for Neural Radiance Fields
Gang Wan, Qinlong Lan, Zihan Li et al.
Uncertainty-Sensitive Privileged Learning
Fan-Ming Luo, Lei Yuan, Yang Yu
SALMONN-omni: A Standalone Speech LLM without Codec Injection for Full-duplex Conversation
Wenyi Yu, Siyin Wang, Xiaoyu Yang et al.
ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs
Jiale Ma, Wenzheng Pan, Yang Li et al.
PointMAC: Meta-Learned Adaptation for Robust Test-Time Point Cloud Completion
Linlian Jiang, Rui Ma, Li Gu et al.
Statistical Inference under Performativity
Xiang Li, Yunai Li, Huiying Zhong et al.
PSI: A Benchmark for Human Interpretation and Response in Traffic Interactions
TAOTAO JING, Tina Chen, Renran Tian et al.
Bridging Equivariant GNNs and Spherical CNNs for Structured Physical Domains
Colin Kohler, Purvik Patel, Nathan Vaska et al.
RankSEG-RMA: An Efficient Segmentation Algorithm via Reciprocal Moment Approximation
Zixun Wang, Ben Dai
Optimize Any Topology: A Foundation Model for Shape- and Resolution-Free Structural Topology Optimization
Amin Heyrani Nobari, Lyle Regenwetter, Cyril Picard et al.
3BASiL: An Algorithmic Framework for Sparse plus Low-Rank Compression of LLMs
Mehdi Makni, Xiang Meng, Rahul Mazumder
FRN: Fractal-Based Recursive Spectral Reconstruction Network
Ge Meng, Zhongnan Cai, Ruizhe Chen et al.
Disentangling misreporting from genuine adaptation in strategic settings: a causal approach
Dylan Zapzalka, Trenton Chang, Lindsay Warrenburg et al.
Reasoning Models Sometimes Output Illegible Chains of Thought
Arun Jose
Robust and Scalable Autonomous Reinforcement Learning in Irreversible Environments
Sang-Hyun Lee
On the SAC-BL Algorithm for Anomaly Detection
Xinsong Ma, Jie Wu, Weiwei Liu
Learning to Factorize Spatio-Temporal Foundation Models
Siru Zhong, Junjie Qiu, Yangyu Wu et al.
$\text{G}^2\text{M}$: A Generalized Gaussian Mirror Method to Boost Feature Selection Power
Hongyu Shen, Zhizhen Jane Zhao
Fast Projection-Free Approach (without Optimization Oracle) for Optimization over Compact Convex Set
Chenghao Liu, Enming Liang, Minghua Chen
Analog Foundation Models
Julian Büchel, Iason Chalas, Giovanni Acampa et al.
ActiveVOO: Value of Observation Guided Active Knowledge Acquisition for Open-World Embodied Lifted Regression Planning
Xiaotian Liu, Ali Pesaranghader, Jaehong Kim et al.
L2RSI: Cross-view LiDAR-based Place Recognition for Large-scale Urban Scenes via Remote Sensing Imagery
Ziwei Shi, Xiaoran Zhang, Wenjing Xu et al.
Understanding Differential Transformer Unchains Pretrained Self-Attentions
Chaerin Kong, Jiho Jang, Nojun Kwak
Enhanced Self-Distillation Framework for Efficient Spiking Neural Network Training
Xiaochen Zhao, Chengting Yu, Kairong Yu et al.
Cross-fluctuation phase transitions reveal sampling dynamics in diffusion models
Sai Niranjan Ramachandran, Manish Krishan Lal, Suvrit Sra
MathArena: Evaluating LLMs on Uncontaminated Math Competitions
Mislav Balunovic, Jasper Dekoninck, Ivo Petrov et al.
Moment- and Power-Spectrum-Based Gaussianity Regularization for Text-to-Image Models
Jisung Hwang, Jaihoon Kim, Minhyuk Sung
Steering Information Utility in Key-Value Memory for Language Model Post-Training
Chunyuan Deng, Ruidi Chang, Hanjie Chen
RigAnyFace: Scaling Neural Facial Mesh Auto-Rigging with Unlabeled Data
Wenchao Ma, Dario Kneubuehler, Maurice Chu et al.
From Indicators to Insights: Diversity-Optimized for Medical Series-Text Decoding via LLMs
Xiyuan Jin, Jing Wang, Ziwei Lin et al.
Risk-Averse Total-Reward Reinforcement Learning
Xihong Su, Jia Lin Hau, Gersi Doko et al.
Resounding Acoustic Fields with Reciprocity
Zitong Lan, Yiduo Hao, Mingmin Zhao
RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents
Jingyi Yang, Shuai Shao, Dongrui Liu et al.
Revisiting Generative Infrared and Visible Image Fusion Based on Human Cognitive Laws
Lin Guo, Xiaoqing Luo, Wei Xie et al.
Wide-Horizon Thinking and Simulation-Based Evaluation for Real-World LLM Planning with Multifaceted Constraints
Dongjie Yang, Chengqiang Lu, Qimeng Wang et al.
PARROT: A Benchmark for Evaluating LLMs in Cross-System SQL Translation
Wei Zhou, Guoliang Li, Haoyu Wang et al.
TIDMAD: Time Series Dataset for Discovering Dark Matter with AI Denoising
Jessica Fry, Xinyi Fu, Zhenghao Fu et al.
DeceptionBench: A Comprehensive Benchmark for AI Deception Behaviors in Real-world Scenarios
Yao Huang, Yitong Sun, Yichi Zhang et al.
Homogeneous Algorithms Can Reduce Competition in Personalized Pricing
Nathanael Jo, Ashia Wilson, Kathleen Creel et al.
Sekai: A Video Dataset towards World Exploration
Zhen Li, Chuanhao Li, Xiaofeng Mao et al.
A Dynamic Learning Strategy for Dempster-Shafer Theory with Applications in Classification and Enhancement
Linlin Fan, Xingyu Liu, Mingliang Zhou et al.
FEEL: Quantifying Heterogeneity in Physiological Signals for Generalizable Emotion Recognition
Pragya Singh, Ankush Gupta, Somay Jalan et al.
Learning Theory for Kernel Bilevel Optimization
Fares El Khoury, Edouard Pauwels, Samuel Vaiter et al.
CineTechBench: A Benchmark for Cinematographic Technique Understanding and Generation
Xinran Wang, Songyu Xu, Shan Xiangxuan et al.
UMU-Bench: Closing the Modality Gap in Multimodal Unlearning Evaluation
Chengye Wang, Yuyuan Li, XiaoHua Feng et al.
LexiCon: a Benchmark for Planning under Temporal Constraints in Natural Language
Periklis Mantenoglou, Rishi Hazra, Pedro Zuidberg Dos Martires et al.
ReinAD: Towards Real-world Industrial Anomaly Detection with a Comprehensive Contrastive Dataset
Xu Wang, Jingyuan Zhuo, Zhiyuan You et al.
Efficient Safe Meta-Reinforcement Learning: Provable Near-Optimality and Anytime Safety
Siyuan Xu, Minghui Zhu
MMOT: The First Challenging Benchmark for Drone-based Multispectral Multi-Object Tracking
Tianhao Li, Tingfa Xu, Ying Wang et al.