Most Cited NEURIPS "continual federated learning" Papers
5,858 papers found • Page 26 of 30
Conference
Self-Supervised Discovery of Neural Circuits in Spatially Patterned Neural Responses with Graph Neural Networks
Kijung Yoon
FedFree: Breaking Knowledge-sharing Barriers through Layer-wise Alignment in Heterogeneous Federated Learning
Haizhou Du, Yiran Xiang, Yiwen Cai et al.
DSRF: A Dynamic and Scalable Reasoning Framework for Solving RPMs
Chengtai Li, Yuting He, Jianfeng Ren et al.
Online Locally Differentially Private Conformal Prediction via Binary Inquiries
Qiangqiang Zhang, Chenfei Gu, Xinwei Feng et al.
Principled Long-Tailed Generative Modeling via Diffusion Models
Pranoy Das, Kexin Fu, Abolfazl Hashemi et al.
SONAR: Long-Range Graph Propagation Through Information Waves
Alessandro Trenta, Alessio Gravina, Davide Bacciu
Multimodal Bandits: Regret Lower Bounds and Optimal Algorithms
William Réveillard, Richard Combes
Spatial-Aware Decision-Making with Ring Attractors in Reinforcement Learning Systems
Marcos Negre Saura, Richard Allmendinger, Wei Pan et al.
QCircuitBench: A Large-Scale Dataset for Benchmarking Quantum Algorithm Design
Rui Yang, Ziruo Wang, Yuntian Gu et al.
Improving Decision Trees through the Lens of Parameterized Local Search
Juha Harviainen, Frank Sommer, Manuel Sorge
TGA: True-to-Geometry Avatar Dynamic Reconstruction
Bo Guo, Sijia Wen, Ziwei Wang et al.
Hyperphantasia: A Benchmark for Evaluating the Mental Visualization Capabilities of Multimodal LLMs
Mohammad Shahab Sepehri, Berk Tinaz, Zalan Fabian et al.
CAMILA: Context-Aware Masking for Image Editing with Language Alignment
Hyunseung Kim, Chiho Choi, Srikanth Malla et al.
Promptable 3-D Object Localization with Latent Diffusion Models
Cheng-Yao Hong, Li-Heng Wang, Tyng-Luh Liu
Adaptive Discretization for Consistency Models
Jiayu Bai, Zhanbo Feng, Zhijie Deng et al.
Neural Mutual Information Estimation with Vector Copulas
Yanzhi Chen, Zijing Ou, Adrian Weller et al.
Semi-supervised Vertex Hunting, with Applications in Network and Text Analysis
Yicong Jiang, Zheng Tracy Ke
Thompson Sampling in Function Spaces via Neural Operators
Rafael Oliveira, Xuesong Wang, Kian Ming Chai et al.
Flattening Hierarchies with Policy Bootstrapping
John Zhou, Jonathan Kao
UniHG: A Large-scale Universal Heterogeneous Graph Dataset and Benchmark for Representation Learning and Cross-Domain Transferring
Yide Qiu, Tong Zhang, Shaoxiang Ling et al.
OctoNet: A Large-Scale Multi-Modal Dataset for Human Activity Understanding Grounded in Motion-Captured 3D Pose Labels
Dongsheng Yuan, Xie Zhang, Weiying Hou et al.
Towards Automated Petrography
Isai Daniel Chacon, Paola Ruiz Puentes, Jillian Pearse et al.
CarbonGlobe: A Global-Scale, Multi-Decade Dataset and Benchmark for Carbon Forecasting in Forest Ecosystems
Zhihao Wang, Lei Ma, George Hurtt et al.
VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code
Raghu Vamshi Hemadri, Jitendra Bhandari, Andre Nakkab et al.
VMDT: Decoding the Trustworthiness of Video Foundation Models
Yujin Potter, Zhun Wang, Nicholas Crispino et al.
egoEMOTION: Egocentric Vision and Physiological Signals for Emotion and Personality Recognition in Real-world Tasks
Matthias Jammot, Björn Braun, Paul Streli et al.
Augmenting Biological Fitness Prediction Benchmarks with Landscapes Features from GraphFLA
Mingyu Huang, Shasha Zhou, Ke Li
CADGrasp: Learning Contact and Collision Aware General Dexterous Grasping in Cluttered Scenes
Jiyao Zhang, Zhiyuan Ma, Tianhao Wu et al.
Natural Gradient VI: Guarantees for Non-Conjugate Models
Fangyuan Sun, Ilyas Fatkhullin, Niao He
UMAMI: Unifying Masked Autoregressive Models and Deterministic Rendering for View Synthesis
Thanh-Tung Le, Tuan Pham, Tung Nguyen et al.
TraffiDent: A Dataset for Understanding the Interplay Between Traffic Dynamics and Incidents
Xiaochuan Gou, Ziyue Li, Tian Lan et al.
A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks
Georgios Mentzelopoulos, Ioannis Asmanis, Konrad Kording et al.
Martingale Score: An Unsupervised Metric for Bayesian Rationality in LLM Reasoning
Zhonghao He, Tianyi (Alex) Qiu, Hirokazu Shirado et al.
Event-Guided Consistent Video Enhancement with Modality-Adaptive Diffusion Pipeline
Kanghao Chen, Zixin Zhang, Guoqiang Liang 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.
IBGS: Image-Based Gaussian Splatting
Hoang Chuong Nguyen, Wei Mao, Jose M. Alvarez et al.
TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception
Runjian Chen, Hyoungseob Park, Bo Zhang et al.
Tensor Decomposition Networks for Accelerating Machine Learning Force Field Computations
Yuchao Lin, Cong Fu, Zachary Krueger et al.
SentinelKilnDB: A Large-Scale Dataset and Benchmark for OBB Brick Kiln Detection in South Asia Using Satellite Imagery
Rishabh Mondal, Jeet Parab, Heer Kubadia et al.
PC-Net: Weakly Supervised Compositional Moment Retrieval via Proposal-Centric Network
Mingyao Zhou, Hao Sun, Wei Xie et al.
Interaction-Centric Knowledge Infusion and Transfer for Open Vocabulary Scene Graph Generation
Lin Li, Chuhan ZHANG, Dong Zhang et al.
PUO-Bench: A Panel Understanding and Operation Benchmark with A Privacy-Preserving Framework
Wei LIN, Yiwei Zhou, Junkai Zhang et al.
Dr. RAW: Towards General High-Level Vision from RAW with Efficient Task Conditioning
Wenjun Huang, Ziteng Cui, Yinqiang Zheng et al.
Geometric Imbalance in Semi-Supervised Node Classification
Liang Yan, Shengzhong Zhang, Bisheng Li et al.
Visual Anagrams Reveal Hidden Differences in Holistic Shape Processing Across Vision Models
Fenil Doshi, Thomas Fel, Talia Konkle et al.
Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization
Tan Pan, Kaiyu Guo, Dongli Xu et al.
LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-Tuning
Junyu Chen, Junzhuo Li, Zhen Peng et al.
InFlux: A Benchmark for Self-Calibration of Dynamic Intrinsics of Video Cameras
Erich Liang, Roma Bhattacharjee, Sreemanti Dey et al.
MODEL SHAPLEY: Find Your Ideal Parameter Player via One Gradient Backpropagation
Chu Xu, Xinke Jiang, Rihong Qiu et al.
Efficient and Generalizable Mixed-Precision Quantization via Topological Entropy
Nan Li, Yonghui Su, Lianbo Ma
Inexact Column Generation for Bayesian Network Structure Learning via Difference-of-Submodular Optimization
Yiran Yang, Rui Chen
Guarantees for Alternating Least Squares in Overparameterized Tensor Decompositions
Dionysis Arvanitakis, Vaidehi Srinivas, Aravindan Vijayaraghavan
Iterative Foundation Model Fine-Tuning on Multiple Rewards
Pouya M. Ghari, simone sciabola, Ye Wang
Revisiting 1-peer exponential graph for enhancing decentralized learning efficiency
Kenta Niwa, Yuki Takezawa, Guoqiang Zhang et al.
AVerImaTeC: A Dataset for Automatic Verification of Image-Text Claims with Evidence from the Web
RUI CAO, Zifeng Ding, Zhijiang Guo et al.
SeasonBench-EA: A Multi-Source Benchmark for Seasonal Prediction and Numerical Model Post-Processing in East Asia
Mengxuan Chen, Li, Zou Ziheng et al.
PIVNO: Particle Image Velocimetry Neural Operator
Xu Jie, Xuesong Zhang, Jing Jiang et al.
Counterfactual Evolution of Multimodal Datasets via Visual Programming
Minghe Gao, Zhongqi Yue, Wenjie Yan et al.
DoseSurv: Predicting Personalized Survival Outcomes under Continuous-Valued Treatments
Moritz Gögl, Yu Liu, Christopher Yau et al.
STSBench: A Large-Scale Dataset for Modeling Neuronal Activity in the Dorsal Stream of Primate Visual Cortex
Ethan Trepka, Ruobing Xia, Shude Zhu et al.
GSO: Challenging Software Optimization Tasks for Evaluating SWE-Agents
Manish Shetty, Naman Jain, Jinjian Liu et al.
One Stone with Two Birds: A Null-Text-Null Frequency-Aware Diffusion Models for Text-Guided Image Inpainting
Haipeng Liu, Yang Wang, Meng Wang
StableGuard: Towards Unified Copyright Protection and Tamper Localization in Latent Diffusion Models
Haoxin Yang, Bangzhen Liu, Xuemiao Xu et al.
Through the Lens: Benchmarking Deepfake Detectors Against Moiré-Induced Distortions
Razaib Tariq, Minji Heo, Shahroz Tariq et al.
From Softmax to Score: Transformers Can Effectively Implement In-Context Denoising Steps
Paul Rosu, Lawrence Carin, Xiang Cheng
Distributional Training Data Attribution: What do Influence Functions Sample?
Bruno Mlodozeniec, Isaac Reid, Sam Power et al.
PF∆: A Benchmark Dataset for Power Flow under Load, Generation, and Topology Variations
Ana Rivera Him, Anvita Bhagavathula, Alvaro Carbonero et al.
MIRAGE: A Benchmark for Multimodal Information-Seeking and Reasoning in Agricultural Expert-Guided Conversations
Vardhan Dongre, Chi Gui, Shubham Garg et al.
NEP: Autoregressive Image Editing via Next Editing Token Prediction
Huimin Wu, Xiaojian (Shawn) Ma, Haozhe Zhao et al.
Autoencoding Random Forests
Binh Vu, Jan Kapar, Marvin Wright et al.
Learning to Generalize: An Information Perspective on Neural Processes
Hui Li, Huafeng Liu, Shuyang Lin et al.
Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables
Zheng Li, Xichen Guo, Feng Xie et al.
RGB-to-Polarization Estimation: A New Task and Benchmark Study
Beibei Lin, Zifeng Yuan, Tingting Chen
HBLLM: Wavelet-Enhanced High-Fidelity 1-Bit Quantization for LLMs
Ningning Chen, Weicai Ye, Ying Jiang
CPSea: Large-scale cyclic peptide-protein complex dataset for machine learning in cyclic peptide design
Ziyi Yang, Hanyuan Xie, Yinjun Jia et al.
Just One Layer Norm Guarantees Stable Extrapolation
Juliusz Ziomek, George Whittle, Michael A Osborne
Learning from A Single Markovian Trajectory: Optimality and Variance Reduction
Zhenyu Sun, Ermin Wei
Learning to Plan Like the Human Brain via Visuospatial Perception and Semantic-Episodic Synergistic Decision-Making
Tianyuan Jia, Ziyu Li, Qing Li et al.
From Flatland to Space: Teaching Vision-Language Models to Perceive and Reason in 3D
Jiahui Zhang, Yurui Chen, Yueming Xu et al.
Unsupervised Trajectory Optimization for 3D Registration in Serial Section Electron Microscopy using Neural ODEs
Zhenbang Zhang, Jingtong Feng, Hongjia Li et al.
Benchmarking Large Language Models with Integer Sequence Generation Tasks
Daniel O'Malley, Manish Bhattarai, Nishath Ranasinghe et al.
REFED: A Subject Real-time Dynamic Labeled EEG-fNIRS Synchronized Recorded Emotion Dataset
Xiaojun Ning, Jing Wang, Zhiyang Feng et al.
Modality-Aware SAM: Sharpness-Aware-Minimization Driven Gradient Modulation for Harmonized Multimodal Learning
Hossein Rajoli Nowdeh, Jie Ji, Xiaolong Ma et al.
Collaborating Vision, Depth, and Thermal Signals for Multi-Modal Tracking: Dataset and Algorithm
Xue-Feng Zhu, Tianyang Xu, Yifan Pan et al.
MRO: Enhancing Reasoning in Diffusion Language Models via Multi-Reward Optimization
Chenglong Wang, Yang Gan, Hang Zhou et al.
ChatVLA-2: Vision-Language-Action Model with Open-World Reasoning
Zhongyi Zhou, Yichen Zhu, Xiaoyu Liu et al.
Block-Diagonal LoRA for Eliminating Communication Overhead in Tensor Parallel LoRA Serving
Xinyu Wang, Jonas M. Kübler, Kailash Budhathoki et al.
Aeolus: A Multi-structural Flight Delay Dataset
Lin Xu, Xinyun Yuan, Yuxuan Liang et al.
Dense Backpropagation Improves Training for Sparse Mixture-of-Experts
Ashwinee Panda, Vatsal Baherwani, Zain Sarwar et al.
Adaptive Quantization in Generative Flow Networks for Probabilistic Sequential Prediction
Nadhir Hassen, Zhen Zhang, Johan Verjans
Efficient $k$-Sparse Band–Limited Interpolation with Improved Approximation Ratio
Yang Cao, Xiaoyu Li, Zhao Song et al.
Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs
Wenjing Tang, Xinyu He, Yongxi Huang et al.
H-SPLID: HSIC-based Saliency Preserving Latent Information Decomposition
Lukas Miklautz, Chengzhi Shi, Andrii Shkabrii et al.
TreeFinder: A US-Scale Benchmark Dataset for Individual Tree Mortality Monitoring Using High-Resolution Aerial Imagery
Zhihao Wang, Cooper Li, Ruichen Wang et al.
Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
Cong Zeng, Shengkun Tang, Yuanzhou Chen et al.
On the Hardness of Approximating Distributions with Tractable Probabilistic Models
John Leland, YooJung Choi
DQVis Dataset: Natural Language to Biomedical Visualization
Devin Lange, Pengwei Sui, Shanghua Gao et al.
Rebalancing Return Coverage for Conditional Sequence Modeling in Offline Reinforcement Learning
Wensong Bai, Chufan Chen, Yichao Fu et al.
Distil-E2D: Distilling Image-to-Depth Priors for Event-Based Monocular Depth Estimation
Jie Long Lee, Gim Hee Lee
Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation
Harold Haodong Chen, Haojian Huang, Qifeng Chen et al.
SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models
Xianda Guo, Ruijun Zhang, Yiqun Duan et al.
Progress Reward Model for Reinforcement Learning via Large Language Models
Xiuhui Zhang, Ning Gao, Xingyu Jiang et al.
R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
Yuante Li, Xu Yang, Xiao Yang et al.
TAPAS: Datasets for Learning the Learning with Errors Problem
Eshika Saxena, Alberto Alfarano, Francois Charton et al.
ScaleDiff: Higher-Resolution Image Synthesis via Efficient and Model-Agnostic Diffusion
Sungho Koh, SeungJu Cha, Hyunwoo Oh et al.
Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence
Yining Hong, Rui Sun, Bingxuan Li et al.
MultiScale Contextual Bandits for Long Term Objectives
Richa Rastogi, Yuta Saito, Thorsten Joachims
C-NAV: Towards Self-Evolving Continual Object Navigation in Open World
MingMing Yu, Fei Zhu, Wenzhuo Liu et al.
Evaluating Robustness of Monocular Depth Estimation with Procedural Scene Perturbations
Jack Nugent, Siyang Wu, Zeyu Ma et al.
PSBench: a large-scale benchmark for estimating the accuracy of protein complex structural models
Pawan Neupane, Jian Liu, Jianlin Cheng
CheMixHub: Datasets and Benchmarks for Chemical Mixture Property Prediction
Ella Miray Rajaonson, Mahyar Rajabi Kochi, Luis Martin Mejia Mendoza et al.
Memory-Augmented Potential Field Theory: A Framework for Adaptive Control in Non-Convex Domains
Dongzhe Zheng, Wenjie Mei
Practical and Effective Code Watermarking for Large Language Models
Zhimeng Guo, Minhao Cheng
Kernel-based Equalized Odds: A Quantification of Accuracy-Fairness Trade-off in Fair Representation Learning
Yijin Ni, Xiaoming Huo
mmWalk: Towards Multi-modal Multi-view Walking Assistance
Kedi Ying, Ruiping Liu, Chongyan Chen et al.
Stochastic Forward-Forward Learning through Representational Dimensionality Compression
Zhichao Zhu, YANG QI, Hengyuan Ma et al.
MolVision: Molecular Property Prediction with Vision Language Models
Deepan Adak, Yogesh Rawat, Shruti Vyas
Merlin L48 Spectrogram Dataset
Aaron Sun, Subhransu Maji, Grant Van Horn
More Than Just Functional: LLM-as-a-Critique for Efficient Code Generation
Derui Zhu, Dingfan Chen, jinfu chen et al.
MM-OPERA: Benchmarking Open-ended Association Reasoning for Large Vision-Language Models
Zimeng Huang, Jinxin Ke, Xiaoxuan Fan et al.
PHANTOM: A Benchmark for Hallucination Detection in Financial Long-Context QA
Lanlan Ji, Dominic Seyler, Gunkirat Kaur et al.
Trajectory Graph Learning: Aligning with Long Trajectories in Reinforcement Learning Without Reward Design
Yunfan Li, Eric Liu, Lin Yang
LawShift: Benchmarking Legal Judgment Prediction Under Statute Shifts
Zhuo Han, Yi Yang, Yi Feng et al.
Struct-Bench: A Benchmark for Differentially Private Structured Text Generation
Shuaiqi Wang, Vikas Raunak, Arturs Backurs et al.
Learning to Steer: Input-dependent Steering for Multimodal LLMs
Jayneel Parekh, Pegah KHAYATAN, Mustafa Shukor et al.
ConnectomeBench: Can LLMs proofread the connectome?
Jeff Brown, Andrew Kirjner, Annika Vivekananthan et al.
Smoothed Agnostic Learning of Halfspaces over the Hypercube
Yiwen Kou, Raghu Meka
Sheetpedia: A 300K-Spreadsheet Corpus for Spreadsheet Intelligence and LLM Fine-Tuning
Zailong Tian, Zhuoheng Han, Houfeng Wang et al.
Single-Teacher View Augmentation: Boosting Knowledge Distillation via Angular Diversity
Seonghoon Yu, Dongjun Nam, Dina Katabi et al.
OVERT: A Benchmark for Over-Refusal Evaluation on Text-to-Image Models
Ziheng Cheng, Yixiao Huang, Hui Xu et al.
End-to-End Vision Tokenizer Tuning
Wenxuan Wang, Fan Zhang, Yufeng Cui et al.
Robust Estimation Under Heterogeneous Corruption Rates
Syomantak Chaudhuri, Jerry Li, Thomas Courtade
DAVE: Diagnostic benchmark for Audio Visual Evaluation
Gorjan Radevski, Teodora Popordanoska, Matthew Blaschko et al.
SDTagNet: Leveraging Text-Annotated Navigation Maps for Online HD Map Construction
Fabian Immel, Jan-Hendrik Pauls, Richard Schwarzkopf et al.
Gradient Descent as Loss Landscape Navigation: a Normative Framework for Deriving Learning Rules
John Vastola, Samuel J Gershman, Kanaka Rajan
Efficient Low Rank Attention for Long-Context Inference in Large Language Models
Li Tenghui, Guoxu Zhou, Xuyang Zhao et al.
Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning
Xiangning Yu, Zhuohan Wang, Linyi Yang et al.
Intend to Move: A Multimodal Dataset for Intention-Aware Human Motion Understanding
Ryo Umagami, Liu Yue, Xuangeng Chu et al.
Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers
Daniel Dsouza, Julia Kreutzer, Adrien Morisot et al.
Self-supervised Blending Structural Context of Visual Molecules for Robust Drug Interaction Prediction
Tengfei Ma, Kun Chen, Yongsheng Zang et al.
Controlling The Spread of Epidemics on Networks with Differential Privacy
Dũng Nguyen, Aravind Srinivasan, Renata Valieva et al.
SynCL: A Synergistic Training Strategy with Instance-Aware Contrastive Learning for End-to-End Multi-Camera 3D Tracking
Shubo Lin, Yutong Kou, Zirui Wu et al.
Meta-World+: An Improved, Standardized, RL Benchmark
Reginald McLean, Evangelos Chatzaroulas, Luc McCutcheon et al.
A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone
Jitai Hao, Qiang Huang, Hao Liu et al.
Pose Splatter: A 3D Gaussian Splatting Model for Quantifying Animal Pose and Appearance
Jack Goffinet, Youngjo Min, Carlo Tomasi et al.
OSVI-WM: One-Shot Visual Imitation for Unseen Tasks using World-Model-Guided Trajectory Generation
Raktim Goswami, Prashanth Krishnamurthy, Yann LeCun et al.
Quantifying Elicitation of Latent Capabilities in Language Models
Elizabeth Donoway, Hailey Joren, Arushi Somani et al.
Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning
Congyu Qiao, Ning Xu, Yihao Hu et al.
RoomEditor: High-Fidelity Furniture Synthesis with Parameter-Sharing U-Net
Zhenyi Lin, Xiaofan Ming, Qilong Wang et al.
Quantum Speedups for Minimax Optimization and Beyond
Chengchang Liu, Zongqi Wan, Institute of Computing Jialin Zhang et al.
Rethinking Gradient Step Denoiser: Towards Truly Pseudo-Contractive Operator
Shuchang Zhang, Yaoyun Zeng, Kangkang Deng et al.
RAD: Towards Trustworthy Retrieval-Augmented Multi-modal Clinical Diagnosis
Haolin Li, Tianjie Dai, Zhe Chen et al.
RiverMamba: A State Space Model for Global River Discharge and Flood Forecasting
Mohamad Hakam Shams Eddin, Yikui Zhang, Stefan Kollet et al.
Global Minimizers of Sigmoid Contrastive Loss
Kiril Bangachev, Guy Bresler, Iliyas Noman et al.
GeoVideo: Introducing Geometric Regularization into Video Generation Model
Yunpeng Bai, Shaoheng Fang, Chaohui Yu et al.
SPFL: Sequential updates with Parallel aggregation for Enhanced Federated Learning under Category and Domain Shifts
Haoyuan Liang, Shilei Cao, Li et al.
UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces
Yuanshao Zhu, James Yu, Xiangyu Zhao et al.
Scalable Neural Incentive Design with Parameterized Mean-Field Approximation
Nathan Corecco, Batuhan Yardim, Vinzenz Thoma et al.
zip2zip: Inference-Time Adaptive Tokenization via Online Compression
Saibo Geng, Nathan Ranchin, Yunzhen Yao et al.
Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference
Frank Shih, Zhenghao Jiang, Faming Liang
DataSIR: A Benchmark Dataset for Sensitive Information Recognition
Fan Mo, Bo Liu, Yuan Fan et al.
Interpreting Emergent Features in Deep Learning-based Side-channel Analysis
Sengim Karayalcin, Marina Krček, Stjepan Picek
PARALLELPROMPT: Extracting Parallelism from Large Language Model Queries
Steven Kolawole, Keshav Santhanam, Virginia Smith et al.
Multiclass Loss Geometry Matters for Generalization of Gradient Descent in Separable Classification
Matan Schliserman, Tomer Koren
OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization Modeling
Haoyang Liu, Jie Wang, Yuyang Cai et al.
AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning
Yang Chen, Zhuolin Yang, Zihan Liu et al.
PoseCrafter: Extreme Pose Estimation with Hybrid Video Synthesis
Qing Mao, Tianxin Huang, Yu Zhu et al.
Enhancing Training Data Attribution with Representational Optimization
Weiwei Sun, Haokun Liu, Nikhil Kandpal et al.
RLGF: Reinforcement Learning with Geometric Feedback for Autonomous Driving Video Generation
Tianyi Yan, Wencheng Han, xia zhou et al.
The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination
Adam Klivans, Konstantinos Stavropoulos, Kevin Tian et al.
A Learning-Augmented Approach to Online Allocation Problems
Ilan Cohen, Debmalya Panigrahi
Bits Leaked per Query: Information-Theoretic Bounds for Adversarial Attacks on LLMs
Masahiro Kaneko, Timothy Baldwin
DynaPipe: Dynamic Layer Redistribution for Efficient Serving of LLMs with Pipeline Parallelism
HongXin Xu, Tianyu Guo, Xianwei Zhang
The Right to Red-Team: Adversarial AI Literacy as a Civic Imperative in K-12 Education
Devan Walton, Haesol Bae
COLA: Towards Efficient Multi-Objective Reinforcement Learning with Conflict Objective Regularization in Latent Space
Pengyi Li, Hongyao Tang, Yifu Yuan et al.
Prohibiting Generative AI in any Form of Weapon Control
Mary Cummings
Compress & Cache: Vision token compression for efficient generation and retrieval
Adrian Bulat, Yassine Ouali, Georgios Tzimiropoulos
Latent Space Factorization in LoRA
Shashi Kumar, Yacouba Kaloga, John Mitros et al.
Periodic Skill Discovery
Jonghae Park, Daesol Cho, Jusuk Lee et al.
BrainEC-LLM: Brain Effective Connectivity Estimation by Multiscale Mixing LLM
Wen Xiong, Junzhong Ji, Jinduo Liu
Military AI Needs Technically-Informed Regulation to Safeguard AI Research and its Applications
Riley Simmons-Edler, Jean Dong, Paul Lushenko et al.
Latent Retrieval Augmented Generation of Cross-Domain Protein Binders
Zishen Zhang, Xiangzhe Kong, Wenbing Huang et al.
SMRS: advocating a unified reporting standard for surrogate models in the artificial intelligence era.
Elizaveta Semenova, Siobhan Mackenzie Hall, Timothy James Hitge et al.
AR-RAG: Autoregressive Retrieval Augmentation for Image Generation
Jingyuan Qi, Zhiyang Xu, Qifan Wang et al.
Co-PatcheR: Collaborative Software Patching with Component-specific Small Reasoning Models
Yuheng Tang, Hongwei Li, Kaijie Zhu et al.
A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees
Yuhao Zhou, Jintao Xu, Bingrui Li et al.
Transition Matching: Scalable and Flexible Generative Modeling
Neta Shaul, Uriel Singer, Itai Gat et al.
Collective Bargaining in the Information Economy Can Address AI-Driven Power Concentration
Nicholas Vincent, Matt Prewitt, Hanlin Li
Position: Towards Bidirectional Human-AI Alignment
Hua Shen, Tiffany Knearem, Reshmi Ghosh et al.
Establishing Linear Surrogate Regret Bounds for Convex Smooth Losses via Convolutional Fenchel–Young Losses
Yuzhou Cao, Han Bao, Lei Feng et al.
Depth-Width Tradeoffs for Transformers on Graph Tasks
Gilad Yehudai, Clayton Sanford, Maya Bechler-Speicher et al.
Adam Reduces a Unique Form of Sharpness: Theoretical Insights Near the Minimizer Manifold
Xinghan Li, Haodong Wen, Kaifeng Lyu
From Pretraining to Pathology: How Noise Leads to Catastrophic Inheritance in Medical Models
HAO SUN, Zhongyi Han, Hao Chen et al.
Pattern-Guided Adaptive Prior for Structure Learning
Lyuzhou Chen, Yijia Sun, Yanze Gao et al.
Position: If Innovation in AI systematically Violates Fundamental Rights, Is It Innovation at All?
Josu Eguíluz, Axel Brando, Migle Laukyte et al.
Better NTK Conditioning: A Free Lunch from (ReLU) Nonlinear Activation in Wide Neural Networks
Chaoyue Liu, Han Bi, Like Hui et al.
Switchable Token-Specific Codebook Quantization For Face Image Compression
Yongbo Wang, Haonan Wang, Guodong Mu et al.
Lattice Boltzmann Model for Learning Real-World Pixel Dynamicity
Guangze Zheng, Shijie Lin, Haobo Zuo et al.
A Fair Federated Learning Method for Handling Client Participation Probability Inconsistencies in Heterogeneous Environments
Siyuan Wu, Yongzhe Jia, Haolong Xiang et al.
Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models
Hanze Guo, Jing Yao, Xiao Zhou et al.