Most Cited NEURIPS "poisoned data isolation" Papers
5,858 papers found • Page 27 of 30
Conference
CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning
Pengyi Li, Shixiong Kai, Jianye Hao et al.
Correlated Low-Rank Adaptation for ConvNets
Wu Ran, Weijia Zhang, ShuYang Pang et al.
Dynamic Semantic-Aware Correlation Modeling for UAV Tracking
Xinyu Zhou, Tongxin Pan, Lingyi Hong et al.
Aligning What Matters: Masked Latent Adaptation for Text-to-Audio-Video Generation
Jiyang Zheng, Siqi Pan, Yu Yao et al.
Rationalized All-Atom Protein Design with Unified Multi-Modal Bayesian Flow
Hanlin Wu, Yuxuan Song, Zhe Zhang et al.
Don’t Give Up on Democratizing AI for the Wrong Reasons
Annette Zimmermann, Andrew Zeppa, Srijan Pandey et al.
LLM Layers Immediately Correct Each Other
Arjun Patrawala, Jiahai Feng, Erik Jones et al.
DualCnst: Enhancing Zero-Shot Out-of-Distribution Detection via Text-Image Consistency in Vision-Language Models
Fayi Le, Wenwu He, Chentao Cao et al.
HyRF: Hybrid Radiance Fields for Memory-efficient and High-quality Novel View Synthesis
Zipeng Wang, Dan Xu
OmniZoom: A Universal Plug-and-Play Paradigm for Cross-Device Smooth Zoom Interpolation
Xiaoan Zhu, Yue Zhao, Tianyang Hu et al.
RespoDiff: Dual-Module Bottleneck Transformation for Responsible & Faithful T2I Generation
Silpa Vadakkeeveetil Sreelatha, Sauradip Nag, Muhammad Awais et al.
TARFVAE: Efficient One-Step Generative Time Series Forecasting via TARFLOW based VAE
Jiawen Wei, jiang lan, Pengbo Wei et al.
When Causal Dynamics Matter: Adapting Causal Strategies through Meta-Aware Interventions
Moritz Willig, Tim Woydt, Devendra Singh Dhami et al.
PANGEA: Projection-Based Augmentation with Non-Relevant General Data for Enhanced Domain Adaptation in LLMs
Seungyoo Lee, Giung Nam, Moonseok Choi et al.
Efficient PAC Learning for Realizable-Statistic Models via Convex Surrogates
Shivani Agarwal
IPSI: Enhancing Structural Inference with Automatically Learned Structural Priors
Zhongben Gong, Xiaoqun Wu, Mingyang Zhou
Listening to the Brain: Multi-Band sEEG Auditory Reconstruction via Dynamic Spatio-Temporal Hypergraphs
Xueyi Zhang, Ruicong Wang, Jialu Sun et al.
Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection
Ignacio Meza De la Jara, Cristian Rodriguez-Opazo, Damien Teney et al.
Prompt-guided Disentangled Representation for Action Recognition
tianci wu, Guangming Zhu, Lu jiang et al.
Tortoise and Hare Guidance: Accelerating Diffusion Model Inference with Multirate Integration
Yunghee Lee, Byeonghyun Pak, Junwha Hong et al.
Structural Causal Bandits under Markov Equivalence
Min Woo Park, Andy Arditi, Elias Bareinboim et al.
QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code
Hainan Fang, Yuanbo Wen, Jun Bi et al.
Time-uniform and Asymptotic Confidence Sequence of Quantile under Local Differential Privacy
Leheng Cai, Qirui Hu, Juntao Sun et al.
AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs
David McCoy, Yulun Wu, Zachary Butzin-Dozier
Value-Guided Decision Transformer: A Unified Reinforcement Learning Framework for Online and Offline Settings
Hongling Zheng, Li Shen, Yong Luo et al.
Token-Level Self-Play with Importance-Aware Guidance for Large Language Models
Tue Le, Hoang Tran, Quyen Tran et al.
Tackling Continual Offline RL through Selective Weights Activation on Aligned Spaces
Jifeng Hu, Sili Huang, Li Shen et al.
Decoding Causal Structure: End-to-End Mediation Pathways Inference
Yulong Li, Xiwei Liu, feilong tang et al.
Autoregressive Motion Generation with Gaussian Mixture-Guided Latent Sampling
Linnan Tu, Lingwei Meng, Zongyi Li et al.
VLMs can Aggregate Scattered Training Patches
Zhanhui Zhou, Lingjie Chen, Chao Yang et al.
ResponseRank: Data-Efficient Reward Modeling through Preference Strength Learning
Timo Kaufmann, Yannick Metz, Daniel Keim et al.
A Physics-preserved Transfer Learning Method for Differential Equations
Hao-Ran Yang, Chuan-Xian Ren
Self-Verification Provably Prevents Model Collapse in Recursive Synthetic Training
Shi Fu, Yingjie Wang, Yuzhu Chen et al.
ENMA: Tokenwise Autoregression for Continuous Neural PDE Operators
Armand Kassaï Koupaï, Lise Le Boudec, Louis Serrano et al.
Replicable Online pricing
Kiarash Banihashem, Mohammadhossein Bateni, Hossein Esfandiari et al.
When Data Can't Meet: Estimating Correlation Across Privacy Barriers
Abhinav Chakraborty, Arnab Auddy, T. Tony Cai
Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration
Seungyeon Choi, Hwanhee Kim, Chihyun Park et al.
DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space
Junchao Gong, Jingyi Xu, Ben Fei et al.
Looking Beyond the Known: Towards a Data Discovery Guided Open-World Object Detection
Anay Majee, Amitesh Gangrade, Rishabh Iyer
Robustifying Learning-Augmented Caching Efficiently without Compromising 1-Consistency
Peng Chen, Hailiang Zhao, Jiaji Zhang et al.
Unveiling Transformer Perception by Exploring Input Manifolds
Alessandro Benfenati, Alfio Ferrara, Alessio Marta et al.
Spectral Learning for Infinite-Horizon Average-Reward POMDPs
Alessio Russo, Alberto Maria Metelli, Marcello Restelli
$\textit{HiMaCon:}$ Discovering Hierarchical Manipulation Concepts from Unlabeled Multi-Modal Data
Ruizhe Liu, Pei Zhou, Qian Luo et al.
Bivariate Matrix-valued Linear Regression (BMLR): Finite-sample performance under Identifiability and Sparsity Assumptions
Nayel Bettache
Bootstrapping Hierarchical Autoregressive Formal Reasoner with Chain-of-Proxy-Autoformalization
Qi Liu, Xinhao Zheng, Renqiu Xia et al.
Beyond Least Squares: Uniform Approximation and the Hidden Cost of Misspecification
Davide Maran, Csaba Szepesvari
STAR-Bets: Sequential TArget-Recalculating Bets for Tighter Confidence Intervals
Vaclav Voracek, Francesco Orabona
RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget
Adam Piaseczny, Md Kamran Chowdhury Shisher, Shiqiang Wang et al.
Prediction with expert advice under additive noise
Alankrita Bhatt, Victoria Kostina
Identifying multi-compartment Hodgkin-Huxley models with high-density extracellular voltage recordings
Ian Christopher Tanoh, Michael Deistler, Jakob H Macke et al.
Connecting Jensen–Shannon and Kullback–Leibler Divergences: A New Bound for Representation Learning
Reuben Dorent, Polina Golland, William (Sandy) Wells
Hierarchical Koopman Diffusion: Fast Generation with Interpretable Diffusion Trajectory
Hanru Bai, Weiyang Ding, Difan Zou
Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning
Haolei Xu, Yuchen Yan, Yongliang Shen et al.
Adversarial Robustness of Nonparametric Regression
Parsa Moradi, Hanzaleh Nodehi, Mohammad Maddah-Ali
Bridging Scales: Spectral Theory Reveals How Local Connectivity Rules Sculpt Global Neural Dynamics in Spatially Extended Networks
Yuhan Huang, Keren Gao, Dongping Yang et al.
Denoising Trajectory Biases for Zero-Shot AI-Generated Image Detection
Yachao Liang, Min Yu, Gang Li et al.
Direct Fisher Score Estimation for Likelihood Maximization
Sherman Khoo, Yakun Wang, Song Liu et al.
CovMatch: Cross-Covariance Guided Multimodal Dataset Distillation with Trainable Text Encoder
Yongmin Lee, Hye Won Chung
Fast Local Search Algorithms for Clustering with Adaptive Sampling and Bandit Strategies
Junyu Huang, Qilong Feng, Zhen Zhang et al.
Path-specific effects for pulse-oximetry guided decisions in critical care
Kevin Zhang, Yonghan Jung, Divyat Mahajan et al.
Parsimonious Predictions for Strategyproof Scheduling
Richard Cole, Anupam Gupta, Pranav Jangir
Stochastic Momentum Methods for Non-smooth Non-Convex Finite-Sum Coupled Compositional Optimization
Xingyu Chen, Bokun Wang, Ming Yang et al.
Understanding outer learning rates in Local SGD
Ahmed Khaled, Satyen Kale, Arthur Douillard et al.
CoUn: Empowering Machine Unlearning via Contrastive Learning
Yasser Khalil, Mehdi Setayesh, Hongliang Li
Asymptotically Stable Quaternion-valued Hopfield-structured Neural Network with Periodic Projection-based Supervised Learning Rules
Tianwei Wang, Xinhui Ma, Wei Pang
Learning Urban Climate Dynamics via Physics-Guided Urban Surface–Atmosphere Interactions
Jiyang Xia, Fenghua Ling, Zhenhui Jessie Li et al.
Spectral Estimation with Free Decompression
Siavash Ameli, Chris van der Heide, Liam Hodgkinson et al.
Learning Multi-Source and Robust Representations for Continual Learning
Fei Ye, Yongcheng Zhong, Qihe Liu et al.
D$^2$GS: Dense Depth Regularization for LiDAR-free Urban Scene Reconstruction
Kejing Xia, Jidong Jia, Ke Jin et al.
Reasoning Beyond Points: A Visual Introspective Approach for Few-Shot 3D Segmentation
Changshuo Wang, Shuting He, Xiang Fang et al.
No Object Is an Island: Enhancing 3D Semantic Segmentation Generalization with Diffusion Models
Fan Li, Xuan Wang, Xuanbin Wang 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.
Flow Field Reconstruction with Sensor Placement Policy Learning
Ruoyan Li, Guancheng Wan, Zijie Huang et al.
Streaming Audio Generation from Discrete Tokens via Streaming Flow Matching
Ha-Yeong Choi, Sang-Hoon Lee
PC-Net: Weakly Supervised Compositional Moment Retrieval via Proposal-Centric Network
Mingyao Zhou, Hao Sun, Wei Xie et al.
PLD: A Choice-Theoretic List-Wise Knowledge Distillation
Ejafa Bassam, Dawei Zhu, Kaigui Bian
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
PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding
Kangcong Li, Peng Ye, Chongjun Tu et al.
Physics-informed Neural Operator for Pansharpening
Xinyang Liu, Junming Hou, Chenxu Wu et al.
Anatomically inspired digital twins capture hierarchical object representations in visual cortex
Emanuele Luconi, Dario Liscai, Carlo Baldassi et al.
Recurrent Attention-based Token Selection for Efficient Streaming Video-LLMs
Evangelos Dorovatas, Soroush Seifi, Gunshi Gupta et al.
Towards Visualization-of-Thought Jailbreak Attack against Large Visual Language Models
HongQiong Zhong, Qingyang Teng, Baolin Zheng et al.
Interactive Cross-modal Learning for Text-3D Scene Retrieval
Yanglin Feng, Yongxiang Li, Yuan Sun et al.
Interaction-Centric Knowledge Infusion and Transfer for Open Vocabulary Scene Graph Generation
Lin Li, Chuhan ZHANG, Dong Zhang et al.
FedIGL: Federated Invariant Graph Learning for Non-IID Graphs
Lingren Wang, Wenxuan Tu, Jiaxin Wang et al.
Efficient Training of Minimal and Maximal Low-Rank Recurrent Neural Networks
Anushri Arora, Jonathan Pillow
Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration
俊琪 高, Zhichang Guo, Dazhi Zhang et al.
CVGL: Causal Learning and Geometric Topology
Songsong Ouyang, Yingying Zhu
Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation
Yao Teng, Fu-Yun Wang, Xian Liu et al.
Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables
Zheng Li, Xichen Guo, Feng Xie et al.
DISCO: DISCrete nOise for Conditional Control in Text-to-Image Diffusion Models
Longquan Dai, Wu Ming, Dejiao Xue et al.
Fully Autonomous Neuromorphic Navigation and Dynamic Obstacle Avoidance
Xiaochen Shang, Pengwei Luo, Xinning Wang et al.
RANK++LETR: Learn to Rank and Optimize Candidates for Line Segment Detection
Xin Tong, Baojie Tian, Yufei Guo et al.
NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantification
Mélodie Monod, Alessandro Micheli, Samir Bhatt
Accelerating 3D Molecule Generative Models with Trajectory Diagnosis
Zhilong Zhang, Yuxuan Song, Yichun Wang et al.
Learning to Control Free-Form Soft Swimmers
Changyu Hu, Yanke Qu, Qiuan Yang et al.
Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis
Alistair Shilton, Sunil Gupta, Santu Rana et al.
Mesh Interpolation Graph Network for Dynamic and Spatially Irregular Global Weather Forecasting
Zinan Zheng, Yang Liu, Jia Li
Towards a Geometric Understanding of Tensor Learning via the t-Product
Andong Wang, Yuning Qiu, Haonan Huang et al.
Wonder Wins Ways: Curiosity-Driven Exploration through Multi-Agent Contextual Calibration
Yiyuan Pan, Zhe Liu, Hesheng Wang
SurfelSplat: Learning Efficient and Generalizable Gaussian Surfel Representations for Sparse-View Surface Reconstruction
Chensheng Dai, Shengjun Zhang, Min Chen et al.
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.
CroPe: Cross-Modal Semantic Compensation Adaptation for All Adverse Scene Understanding
Qin Xu, Qihang Wu, Lu Hongtao et al.
CF-VLM：CounterFactual Vision-Language Fine-tuning
jusheng zhang, Kaitong Cai, Yijia Fan et al.
Complete Structure Guided Point Cloud Completion via Cluster- and Instance-Level Contrastive Learning
Yang Chen, Yirun Zhou, Weizhong Zhang et al.
Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control
Georgios Papoudakis, Thomas Coste, Jianye Hao et al.
Sample-Efficient Multi-Round Generative Data Augmentation for Long-Tail Instance Segmentation
Byunghyun Kim, Minyoung Bae, Jae-Gil Lee
BMW: Bidirectionally Memory bank reWriting for Unsupervised Person Re-Identification
Xiaobin Liu, Jianing Li, Baiwei Guo et al.
UniDomain: Pretraining a Unified PDDL Domain from Real-World Demonstrations for Generalizable Robot Task Planning
Haoming Ye, Yunxiao Xiao, Cewu Lu et al.
Implicit-ARAP: Efficient Handle-Guided Neural Field Deformation via Local Patch Meshing
Daniele Baieri, Filippo Maggioli, Emanuele Rodolà et al.
Online Portfolio Selection with ML Predictions
Ziliang Zhang, Tianming Zhao, Albert Zomaya
Dual-Space Semantic Synergy Distillation for Continual Learning of Unlabeled Streams
Donghao Sun, Xi Wang, Xu Yang et al.
Normalize Filters! Classical Wisdom for Deep Vision
Gustavo Perez, Stella X. Yu
Conflict-Aware Knowledge Editing in the Wild: Semantic-Augmented Graph Representation for Unstructured Text
Zhange Zhang, Zhicheng Geng, Yuqing Ma et al.
Rig3R: Rig-Aware Conditioning and Discovery for 3D Reconstruction
Samuel Li, Pujith Kachana, Prajwal Chidananda et al.
Deep Legendre Transform
Aleksey Minabutdinov, Patrick Cheridito
Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptation
Yuyang Huang, Yabo Chen, Junyu Zhou et al.
Local Curvature Descent: Squeezing More Curvature out of Standard and Polyak Gradient Descent
Peter Richtarik, Simone Maria Giancola, Dymitr Lubczyk et al.
Refinement Methods for Distributed Distribution Estimation under $\ell^p$-Losses
Deheng Yuan, Tao Guo, Zhongyi Huang
GD$^2$: Robust Graph Learning under Label Noise via Dual-View Prediction Discrepancy
Kailai Li, Jiong Lou, Jiawei Sun et al.
You Can Trust Your Clustering Model: A Parameter-free Self-Boosting Plug-in for Deep Clustering
Hanyang Li, Yuheng Jia, Hui LIU et al.
Global Minimizers of $\ell^p$-Regularized Objectives Yield the Sparsest ReLU Neural Networks
Julia Nakhleh, Robert Nowak
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.
In-Context Fully Decentralized Cooperative Multi-Agent Reinforcement Learning
Chao Li, Bingkun BAO, Yang Gao
Rooms from Motion: Un-posed Indoor 3D Object Detection as Localization and Mapping
Justin Lazarow, Kai Kang, Afshin Dehghan
LLM at Network Edge: A Layer-wise Efficient Federated Fine-tuning Approach
Jinglong Shen, Nan Cheng, Wenchao Xu et al.
A Unified Analysis of Stochastic Gradient Descent with Arbitrary Data Permutations and Beyond
Yipeng Li, Xinchen Lyu, Zhenyu Liu
Uncover Governing Law of Pathology Propagation Mechanism Through A Mean-Field Game
Tingting Dan, Zhihao Fan, Guorong Wu
Image Stitching in Adverse Condition: A Bidirectional-Consistency Learning Framework and Benchmark
Zengxi Zhang, Junchen Ge, Zhiying Jiang et al.
Fit the Distribution: Cross-Image/Prompt Adversarial Attacks on Multimodal Large Language Models
Hai Yan, Haijian Ma, Xiaowen Cai et al.
BrainMoE: Cognition Joint Embedding via Mixture-of-Expert Towards Robust Brain Foundation Model
Ziquan Wei, Tingting Dan, Tianlong Chen et al.
Self-Perturbed Anomaly-Aware Graph Dynamics for Multivariate Time-Series Anomaly Detection
Jinyu Cai, Yuan Xie, Glynnis Lim et al.
Spik-NeRF: Spiking Neural Networks for Neural Radiance Fields
Gang Wan, Qinlong Lan, Zihan Li et al.
Curriculum Model Merging: Harmonizing Chemical LLMs for Enhanced Cross-Task Generalization
Baoyi He, Luotian Yuan, Ying Wei et al.
Uncertainty-Sensitive Privileged Learning
Fan-Ming Luo, Lei Yuan, Yang Yu
ToF-IP: Time-of-Flight Enhanced Sparse Inertial Poser for Real-time Human Motion Capture
Yuan Yao, Shifan Jiang, Yangqing Hou et al.
ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs
Jiale Ma, Wenzheng Pan, Yang Li et al.
Do LVLMs Truly Understand Video Anomalies? Revealing Hallucination via Co-Occurrence Patterns
Menghao Zhang, Huazheng Wang, Pengfei Ren et al.
PSI: A Benchmark for Human Interpretation and Response in Traffic Interactions
TAOTAO JING, Tina Chen, Renran Tian et al.
Whose Instructions Count? Resolving Preference Bias in Instruction Fine-Tuning
Jiayu Zhang, Changbang Li, Yinan Peng et al.
Fair Matroid Selection
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Danny Mittal
Bridging Equivariant GNNs and Spherical CNNs for Structured Physical Domains
Colin Kohler, Purvik Patel, Nathan Vaska et al.
Localized Data Shapley: Accelerating Valuation for Nearest Neighbor Algorithms
Guangyi Zhang, Yanhao Wang, Chengliang Chai et al.
How to Learn a Star: Binary Classification with Starshaped Polyhedral Sets
Marie-Charlotte Brandenburg, Katharina Jochemko
MathArena: Evaluating LLMs on Uncontaminated Math Competitions
Mislav Balunovic, Jasper Dekoninck, Ivo Petrov et al.
Risk-Averse Total-Reward Reinforcement Learning
Xihong Su, Jia Lin Hau, Gersi Doko et al.
LexiCon: a Benchmark for Planning under Temporal Constraints in Natural Language
Periklis Mantenoglou, Rishi Hazra, Pedro Zuidberg Dos Martires et al.
Pessimistic Data Integration for Policy Evaluation
Xiangkun Wu, Ting Li, Gholamali Aminian et al.
Storyboard-guided Alignment for Fine-grained Video Action Recognition
Enqi Liu, Liyuan Pan, Yan Yang et al.
ReinAD: Towards Real-world Industrial Anomaly Detection with a Comprehensive Contrastive Dataset
Xu Wang, Jingyuan Zhuo, Zhiyuan You et al.
MMOT: The First Challenging Benchmark for Drone-based Multispectral Multi-Object Tracking
Tianhao Li, Tingfa Xu, Ying Wang et al.
Thinking vs. Doing: Improving Agent Reasoning by Scaling Test-Time Interaction
Junhong Shen, Hao Bai, Lunjun Zhang et al.
Compress & Cache: Vision token compression for efficient generation and retrieval
Adrian Bulat, Yassine Ouali, Georgios Tzimiropoulos
HypoBootstrap: A Bootstrapping Framework for Inductive Reasoning
Si Chen, Yifei Li, Richong Zhang
FLiP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning
Dongping Liao, Xitong Gao, Cheng-Zhong Xu
Near-Optimal Experiment Design in Linear non-Gaussian Cyclic Models
Ehsan Sharifian, Saber Salehkaleybar, Negar Kiyavash
SGN: Shifted Window-Based Hierarchical Variable Grouping for Multivariate Time Series Classification
Zenan Ying, Zhi Zheng, huijun hou et al.
A Closer Look at Graph Transformers: Cross-Aggregation and Beyond
Jiaming Zhuo, Ziyi Ma, Yintong Lu et al.
TAPVid-360: Tracking Any Point in 360 from Narrow Field of View Video
Finlay Hudson, James Gardner, William Smith
Test-Time Adaptive Object Detection with Foundation Model
Yingjie Gao, Yanan Zhang, Zhi Cai et al.
SIU3R: Simultaneous Scene Understanding and 3D Reconstruction Beyond Feature Alignment
QiXu, Dongxu Wei, Lingzhe Zhao et al.
Quantifying Generalisation in Imitation Learning
Nathan Gavenski, Odinaldo Rodrigues
STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC Histopathology
Barathi Subramanian, Rathinaraja Jeyaraj, Mitchell Peterson et al.
Towards the Resistance of Neural Network Fingerprinting to Fine-tuning
Ling Tang, YueFeng Chen, Hui Xue' et al.
Contrastive Learning with Data Misalignment: Feature Purity, Training Dynamics and Theoretical Generalization Guarantees
Jiawei Sun, Shuai Zhang, Hongkang Li et al.
NoBOOM: Chemical Process Datasets for Industrial Anomaly Detection
Dennis Wagner, Fabian Hartung, Justus Arweiler et al.
An Effective Levelling Paradigm for Unlabeled Scenarios
Fangming Cui, Zhou Yu, Di Yang et al.
FreeControl: Efficient, Training-Free Structural Control via One-Step Attention Extraction
Jiang Lin, Xinyu Chen, Song Wu et al.
Torch-Uncertainty: Deep Learning Uncertainty Quantification
Adrien Lafage, Olivier Laurent, Firas Gabetni et al.
A Temporal Difference Method for Stochastic Continuous Dynamics
Haruki Settai, Naoya Takeishi, Takehisa Yairi
Proxy-SPEX: Sample-Efficient Interpretability via Sparse Feature Interactions in LLMs
Landon Butler, Abhineet Agarwal, Justin Kang et al.
Policy Optimized Text-to-Image Pipeline Design
Uri Gadot, Rinon Gal, Yftah Ziser et al.
A Geometry-Aware Metric for Mode Collapse in Time Series Generative Models
Yassine ABBAHADDOU, Amine Aboussalah
GLID$^2$E: A Gradient-Free Lightweight Fine-tune Approach for Discrete Biological Sequence Design
Hanqun Cao, Haosen Shi, Chenyu Wang et al.
Robust Egocentric Referring Video Object Segmentation via Dual-Modal Causal Intervention
Haijing Liu, Zhiyuan Song, Hefeng Wu et al.
ClinBench: A Standardized Multi-Domain Framework for Evaluating Large Language Models in Clinical Information Extraction
Ismael Villanueva Miranda, Zifan Gu, Donghan Yang et al.
COGNAC: Cooperative Graph-based Networked Agent Challenges for Multi-Agent Reinforcement Learning
Jules Sintes, Ana Busic
Semantic-KG: Using Knowledge Graphs to Construct Benchmarks for Measuring Semantic Similarity
Qiyao Wei, Edward R Morrell, Lea Goetz et al.
High-Order Flow Matching: Unified Framework and Sharp Statistical Rates
Maojiang Su, Jerry Yao-Chieh Hu, Yi-Chen Lee et al.
AGI-Elo: How Far Are We From Mastering A Task?
Shuo Sun, Yimin Zhao, Christina Lee et al.
MoodAngels: A Retrieval-augmented Multi-agent Framework for Psychiatry Diagnosis
Mengxi Xiao, Ben Liu, He Li et al.
Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free Lunch
Xu Cai, Yang Wu, Qianli Chen et al.
DGCBench: A Deep Graph Clustering Benchmark
Benyu Wu, Yue Liu, Qiaoyu Tan et al.
TaiwanVQA: Benchmarking and Enhancing Cultural Understanding in Vision-Language Models
Hsin Yi Hsieh, Shang-Wei Liu, Chang-Chih Meng et al.
FrameShield: Adversarially Robust Video Anomaly Detection
Mojtaba Nafez, Mobina Poulaei, Nikan Vasei et al.
DermaCon-IN: A Multiconcept-Annotated Dermatological Image Dataset of Indian Skin Disorders for Clinical AI Research
Shanawaj Sahebpatel Madarkar, Mahajabeen Madarkar, Madhumitha Venkatesh et al.
Unsupervised Federated Graph Learning
Lele Fu, Tianchi Liao, Sheng Huang et al.
Model-Guided Dual-Role Alignment for High-Fidelity Open-Domain Video-to-Audio Generation
Kang Zhang, Trung X. Pham, Suyeon Lee et al.
EVAAA: A Virtual Environment Platform for Essential Variables in Autonomous and Adaptive Agents
Sungwoo Lee, Jungmin Lee, Sohee Kim et al.
Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification
Zeqi Ye, Minshuo Chen
High Dynamic Range Imaging with Time-Encoding Spike Camera
Zhenkun Zhu, Ruiqin Xiong, Jiyu Xie et al.
CMoB: Modality Valuation via Causal Effect for Balanced Multimodal Learning
Jun Wang, Fuyuan CAO, ZhixinXue et al.
Automatic Visual Instrumental Variable Learning for Confounding-Resistant Domain Generalization
Fuyuan CAO, Shichang Qiao, Kui Yu et al.
F-Adapter: Frequency-Adaptive Parameter-Efficient Fine-Tuning in Scientific Machine Learning
Hangwei Zhang, Chun Kang, Yan Wang et al.
NS-Gym: A Comprehensive and Open-Source Simulation Framework for Non-Stationary Markov Decision Processes
Nathaniel S. Keplinger, Baiting Luo, Yunuo Zhang et al.
MONITRS: Multimodal Observations of Natural Incidents Through Remote Sensing
Shreelekha Revankar, Utkarsh Mall, Cheng Perng Phoo et al.
KSP: Kolmogorov-Smirnov metric-based Post-Hoc Calibration for Survival Analysis
Jeongho Park, Daheen Kim, Cheoljun Kim et al.