Most Cited 2025 Poster Papers
22,274 papers found • Page 31 of 112
Conference
Random Forest Autoencoders for Guided Representation Learning
Adrien Aumon, Shuang Ni, Myriam Lizotte et al.
Improving the Lower Bound in Branch-and-Bound Algorithms for MaxSAT
Shuolin Li, Chu-Min Li, Jordi Coll et al.
Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner
Aizierjiang Aiersilan
Improving Multimodal Learning Balance and Sufficiency through Data Remixing
Xiaoyu Ma, Hao Chen, Yongjian Deng
Copyright-Protected Language Generation via Adaptive Model Fusion
Javier Abad, Konstantin Donhauser, Francesco Pinto et al.
BoA: Attention-aware Post-training Quantization without Backpropagation
Junhan Kim, Ho-young Kim, Eulrang Cho et al.
Training-Free Message Passing for Learning on Hypergraphs
Bohan Tang, Zexi Liu, Keyue Jiang et al.
Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning
Laixi Shi, Jingchu Gai, Eric Mazumdar et al.
Noisy Test-Time Adaptation in Vision-Language Models
Chentao Cao, Zhun Zhong, (Andrew) Zhanke Zhou et al.
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning
Emile Anand, Ishani Karmarkar, Guannan Qu
Optimal Bounds for Dissatisfaction in Perpetual Voting
Alexander Kozachinskiy, Alexander Shen, Tomasz Steifer
COPER: Correlation-based Permutations for Multi-View Clustering
Ran Eisenberg, Jonathan Svirsky, Ofir Lindenbaum
Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory
Jan Drgona, Mahantesh Halappanavar, Frank Liu et al.
Zero-shot Model-based Reinforcement Learning using Large Language Models
Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise Odonnat et al.
Improved Maximin Share Approximations for Chores by Bin Packing
Jugal Garg, Xin Huang, Erel Segal-Halevi
Long-horizon Visual Instruction Generation with Logic and Attribute Self-reflection
Yucheng Suo, Fan Ma, Kaixin Shen et al.
Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference
Ke Yi, Zengke Liu, jianwei zhang et al.
KAES: Multi-aspect Shared Knowledge Finding and Aligning for Cross-prompt Automated Scoring of Essay Traits
Xia Li, Wenjing Pan
SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-training
Nie Lin, Takehiko Ohkawa, Yifei Huang et al.
Blink of an eye: a simple theory for feature localization in generative models
Marvin Li, Aayush Karan, Sitan Chen
Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors
Jinhyeok Choi, Heehyeon Kim, Joyce Jiyoung Whang
Social Recommendation via Graph-Level Counterfactual Augmentation
Yinxuan Huang, Ke Liang, Yanyi Huang et al.
Lightspeed Geometric Dataset Distance via Sliced Optimal Transport
Khai Nguyen, Hai Nguyen, Tuan Pham et al.
Graph Data Selection for Domain Adaptation: A Model-Free Approach
Ting-Wei Li, Ruizhong Qiu, Hanghang Tong
Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving
Jin Zhang, Flood Sung, Zhilin Yang et al.
A Similarity Paradigm Through Textual Regularization Without Forgetting
Fangming Cui, Jan Fong, Rongfei Zeng et al.
Tensor Product Neural Networks for Functional ANOVA Model
Seokhun Park, Insung Kong, yongchan Choi et al.
Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding
Wenbo Zhang, Lu Zhang, Ping Hu et al.
DMOSpeech: Direct Metric Optimization via Distilled Diffusion Model in Zero-Shot Speech Synthesis
Yinghao Li, Rithesh Kumar, Zeyu Jin
Self-supervised contrastive learning performs non-linear system identification
Rodrigo Gonzalez Laiz, Tobias Schmidt, Steffen Schneider
Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner
Chenyou Fan, Chenjia Bai, Zhao Shan et al.
DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis
YongKyung Oh, Dong-Young Lim, Sungil Kim
Efficient Few-Shot Neural Architecture Search by Counting the Number of Nonlinear Functions
Youngmin Oh, Hyunju Lee, Bumsub Ham
Small Models are LLM Knowledge Triggers for Medical Tabular Prediction
Jiahuan Yan, Jintai Chen, Chaowen Hu et al.
HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting
Changyuan Tian, Zhicong Lu, Zequn Zhang et al.
EditBoard: Towards a Comprehensive Evaluation Benchmark for Text-Based Video Editing Models
Yupeng Chen, Penglin Chen, Xiaoyu Zhang et al.
Spectral Convolutional Conditional Neural Process
Peiman Mohseni, Nick Duffield
Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning
Bryan L. M. de Oliveira, Luana G. B. Martins, Bruno Brandão et al.
Disentangling Tabular Data Towards Better One-Class Anomaly Detection
Jianan Ye, Zhaorui Tan, Yijie Hu et al.
SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups
Yongxing Zhang, Donglin Yang, Renjie Liao
Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model
Huan Ma, Yan Zhu, Changqing Zhang et al.
A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space Translations
Naveen Gupta, Medha Sawhney, Arka Daw et al.
WiFi CSI Based Temporal Activity Detection via Dual Pyramid Network
Zhendong Liu, Le Zhang, Bing Li et al.
Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers
Qi Deng, Shuaicheng Niu, Ronghao Zhang et al.
Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain)
SUBBA REDDY OOTA, Akshett Rai Jindal, Ishani Mondal et al.
Counterexample Guided Program Repair Using Zero-Shot Learning and MaxSAT-based Fault Localization
Pedro Orvalho, Mikoláš Janota, Vasco M. Manquinho
Fact-R1: Towards Explainable Video Misinformation Detection with Deep Reasoning
Fanrui Zhang, Dian Li, Qiang Zhang et al.
Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs
Junjie Huang, Jiarui Qin, Yong Yu et al.
Motion Control of High-Dimensional Musculoskeletal Systems with Hierarchical Model-Based Planning
Yunyue Wei, Shanning Zhuang, Vincent Zhuang et al.
CARTS: Advancing Neural Theorem Proving with Diversified Tactic Calibration and Bias-Resistant Tree Search
Xiao-Wen Yang, Zhi Zhou, Haiming Wang et al.
Every Bit Helps: Achieving the Optimal Distortion with a Few Queries
Soroush Ebadian, Nisarg Shah
Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling
Jiawei Xu, Rui Yang, Shuang Qiu et al.
CoT4Rec: Revealing User Preferences Through Chain of Thought for Recommender Systems
Weiqi Yue, Yuyu Yin, Xin Zhang et al.
One-Step Diffusion-Based Image Compression with Semantic Distillation
Naifu Xue, Zhaoyang Jia, Jiahao Li et al.
Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks
Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo et al.
Transformer Learns Optimal Variable Selection in Group-Sparse Classification
Chenyang Zhang, Xuran Meng, Yuan Cao
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-training of Deep Networks
Siddharth Joshi, Jiayi Ni, Baharan Mirzasoleiman
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems
Arya Fayyazi, Mehdi Kamal, Massoud Pedram
END^2: Robust Dual-Decoder Watermarking Framework Against Non-Differentiable Distortions
Nan Sun, Han Fang, Yuxing Lu et al.
ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks
Renshuai Tao, Manyi Le, Chuangchuang Tan et al.
Text to Point Cloud Localization with Multi-Level Negative Contrastive Learning
Dunqiang Liu, Shujun Huang, Wen Li et al.
Reward Learning from Multiple Feedback Types
Yannick Metz, Andras Geiszl, Raphaël Baur et al.
DRoP: Distributionally Robust Data Pruning
Artem Vysogorets, Kartik Ahuja, Julia Kempe
Continuous Diffusion Model for Language Modeling
Jaehyeong Jo, Sung Ju Hwang
High-Dimensional Bayesian Optimisation with Gaussian Process Prior Variational Autoencoders
Siddharth Ramchandran, Manuel Haussmann, Harri Lähdesmäki
Learning Mask Invariant Mutual Information for Masked Image Modeling
Tao Huang, Yanxiang Ma, Shan You et al.
ProtoCar: Learning 3D Vehicle Prototypes from Single-View and Unconstrained Driving Scene Images
Hongyuan Liu, Haochen Yu, Bochao Zou et al.
SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning
Jun Feng, Yuzhe Lai, Hong Sun et al.
ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking
Rong Li, Tao Deng, Siwei Feng et al.
AssistanceZero: Scalably Solving Assistance Games
Cassidy Laidlaw, Eli Bronstein, Timothy Guo et al.
Universality of Real Minimal Complexity Reservoir
Robert Simon Fong, Boyu Li, Peter Tino
PABBO: Preferential Amortized Black-Box Optimization
Xinyu Zhang, Daolang Huang, Samuel Kaski et al.
OpenHOI: Open-World Hand-Object Interaction Synthesis with Multimodal Large Language Model
Zhenhao Zhang, Ye Shi, Lingxiao Yang et al.
Transformers Handle Endogeneity in In-Context Linear Regression
Haodong Liang, Krishna Balasubramanian, Lifeng Lai
Geometric Hyena Networks for Large-scale Equivariant Learning
Artem Moskalev, Mangal Prakash, Junjie Xu et al.
Bridge Diffusion Model: Bridge Chinese Text-to-Image Diffusion Model with English Communities
Shanyuan Liu, Bo Cheng, Yuhang Ma et al.
Black-Box Test-Time Prompt Tuning for Vision-Language Models
Fan'an Meng, Chaoran Cui, Hongjun Dai et al.
Linear Mixture Distributionally Robust Markov Decision Processes
Zhishuai Liu, Pan Xu
SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning
Tianhao Peng, Xuhong Li, Haitao Yuan et al.
Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation
Mingyuan Zhou, Zhendong Wang, Huangjie Zheng et al.
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models
Ali Behrouz, Ali Parviz, Mahdi Karami et al.
Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics
Li Sun, Ziheng Zhang, Zixi Wang et al.
Cross-PCR: A Robust Cross-Source Point Cloud Registration Framework
Guiyu Zhao, Zhentao Guo, Zewen Du et al.
Connecting Federated ADMM to Bayes
Siddharth Swaroop, Mohammad Emtiyaz Khan, Finale Doshi-Velez
Sable: a Performant, Efficient and Scalable Sequence Model for MARL
Omayma Mahjoub, Sasha Abramowitz, Ruan de Kock et al.
AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention Disruption
Joonsung Jeon, Woo Jae Kim, Suhyeon Ha et al.
Quality over Quantity in Attention Layers: When Adding More Heads Hurts
Noah Amsel, Gilad Yehudai, Joan Bruna
Dataset Ownership Verification in Contrastive Pre-trained Models
Yuechen Xie, Jie Song, Mengqi Xue et al.
CFP-Gen: Combinatorial Functional Protein Generation via Diffusion Language Models
Junbo Yin, Chao Zha, Wenjia He et al.
Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation
Tao Liu, Rongjie Li, Chongyu Wang et al.
Benchmarking and Understanding Compositional Relational Reasoning of LLMs
Ruikang Ni, Da Xiao, Qingye Meng et al.
Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs
Haoming Yang, Ke Ma, Xiaojun Jia et al.
Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection
Ziyi Zhou, Xiaoming Zhang, Shenghan Tan et al.
DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation
Wenwen Gong, Yangliao Geng, Dan Zhang et al.
HyPoGen: Optimization-Biased Hypernetworks for Generalizable Policy Generation
Hanxiang Ren, Li Sun, Xulong Wang et al.
SemStereo: Semantic-Constrained Stereo Matching Network for Remote Sensing
Chen Chen, Liangjin Zhao, Yuanchun He et al.
Contractive Dynamical Imitation Policies for Efficient Out-of-Sample Recovery
Amin Soleimani Abyaneh, Mahrokh Boroujeni, Hsiu-Chin Lin et al.
On-Device Collaborative Language Modeling via a Mixture of Generalists and Specialists
Dongyang Fan, Bettina Messmer, Nikita Doikov et al.
Distilling Dataset into Neural Field
Donghyeok Shin, HeeSun Bae, Gyuwon Sim et al.
SplineGS: Learning Smooth Trajectories in Gaussian Splatting for Dynamic Scene Reconstruction
Jihwan Yoon, Sangbeom Han, Jaeseok Oh et al.
Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP
Yayuan Li, Jintao Guo, Lei Qi et al.
Sentence-level Aggregation of Lexical Metrics Correlates Stronger with Human Judgements than Corpus-level Aggregation
Paulo Cavalin, Pedro H. Domingues, Claudio Pinhanez
Action-Agnostic Point-Level Supervision for Temporal Action Detection
Shuhei M. Yoshida, Takashi Shibata, Makoto Terao et al.
On Corruption-Robustness in Performative Reinforcement Learning
Vasilis Pollatos, Debmalya Mandal, Goran Radanovic
RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning
Kanghoon Yoon, Kibum Kim, Jaehyeong Jeon et al.
Group Downsampling with Equivariant Anti-aliasing
Md Ashiqur Rahman, Raymond A. Yeh
Efficient and Accurate Explanation Estimation with Distribution Compression
Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl et al.
An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems
Haoxiang Tian, Xingshuo Han, Guoquan Wu et al.
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations
GUOJUN XIONG, Shufan Wang, Daniel Jiang et al.
Captured by Captions: On Memorization and its Mitigation in CLIP Models
Wenhao Wang, Adam Dziedzic, Grace Kim et al.
Training Matting Models Without Alpha Labels
Wenze Liu, Zixuan Ye, Hao Lu et al.
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning
Haorong Han, Jidong Yuan, Chixuan Wei et al.
Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection
Lei Shen, Zhenheng Tang, Lijun Wu et al.
DARR: A Dual-Branch Arithmetic Regression Reasoning Framework for Solving Machine Number Reasoning
Chengtai Li, Yee Yang Tan, Yuting He et al.
Exposure Bracketing Is All You Need For A High-Quality Image
Zhilu Zhang, Shuohao Zhang, Renlong Wu et al.
MODA: MOdular Duplex Attention for Multimodal Perception, Cognition, and Emotion Understanding
Zhicheng Zhang, Wuyou Xia, Chenxi Zhao et al.
Enhancing SQL Query Generation with Neurosymbolic Reasoning
Henrijs Princis, Cristina David, Alan Mycroft
Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment
Minh-Quan Le, Gaurav Mittal, Tianjian Meng et al.
CryoFM: A Flow-based Foundation Model for Cryo-EM Densities
Yi Zhou, Yilai Li, Jing Yuan et al.
DeepSN: A Sheaf Neural Framework for Influence Maximization
Asela Hevapathige, Qing Wang, Ahad N. Zehmakan
WGFormer: An SE(3)-Transformer Driven by Wasserstein Gradient Flows for Molecular Ground-State Conformation Prediction
Fanmeng Wang, Minjie Cheng, Hongteng Xu
Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol
Pai Liu, Lingfeng Zhao, Shivangi Agarwal et al.
Generalization Analysis for Deep Contrastive Representation Learning
Nong Minh Hieu, Antoine Ledent, Yunwen Lei et al.
Forte : Finding Outliers with Representation Typicality Estimation
Debargha Ganguly, Warren Morningstar, Andrew Yu et al.
SRA-CL: Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
Ziqiang Cui, Yunpeng Weng, Xing Tang et al.
Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport
Mingyang Sun, Pengxiang Ding, Weinan Zhang et al.
Collapse-Proof Non-Contrastive Self-Supervised Learning
EMANUELE SANSONE, Tim Lebailly, Tinne Tuytelaars
dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen
Cheng Tan, Yijie Zhang, Zhangyang Gao et al.
Differentiable Information Enhanced Model-Based Reinforcement Learning
Xiaoyuan Zhang, Xinyan Cai, Bo Liu et al.
Deep Incomplete Multi-view Learning via Cyclic Permutation of VAEs
Xin Gao, Jian Pu
MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network
Yuming Zhang, Shouxin Zhang, Peizhe Wang et al.
A Scalable and Effective Alternative to Graph Transformers
Kaan Sancak, Zhigang Hua, Jin Fang et al.
Lines of Thought in Large Language Models
Raphaël Sarfati, Toni Liu, Nicolas Boulle et al.
A Layer Selection Approach to Test Time Adaptation
Sabyasachi Sahoo, Mostafa ElAraby, Jonas Ngnawe et al.
From Promise to Practice: Realizing High-performance Decentralized Training
Zesen Wang, Jiaojiao Zhang, Xuyang Wu et al.
Large Language Models can Become Strong Self-Detoxifiers
Ching-Yun Ko, Pin-Yu Chen, Payel Das et al.
Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach
S. Rasoul Etesami, R. Srikant
Solving Multiagent Path Finding on Highly Centralized Networks
Foivos Fioravantes, Dušan Knop, Jan Matyáš Křišťan et al.
Synchronization in Learning in Periodic Zero-Sum Games Triggers Divergence from Nash Equilibrium
Yuma Fujimoto, Kaito Ariu, Kenshi Abe
Explaining Decisions of Agents in Mixed-Motive Games
Maayan Orner, Oleg Maksimov, Akiva Kleinerman et al.
No Free Lunch: Fundamental Limits of Learning Non-Hallucinating Generative Models
Changlong Wu, Ananth Grama, Wojciech Szpankowski
DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification
Feifei Qian, Lu Bai, Lixin Cui et al.
SCAN: Self-Denoising Monte Carlo Annotation for Robust Process Reward Learning
Yuyang Ding, Xinyu Shi, Juntao Li et al.
In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting
Constantin Philippenko, Kevin Scaman, Laurent Massoulié
Practical Offloading for Fine-Tuning LLM on Commodity GPU via Learned Sparse Projectors
Siyuan Chen, Zhuofeng Wang, Zelong Guan et al.
Two-Timescale Critic-Actor for Average Reward MDPs with Function Approximation
Prashansa Panda, Shalabh Bhatnagar
Homomorphism Expressivity of Spectral Invariant Graph Neural Networks
Jingchu Gai, Yiheng Du, Bohang Zhang et al.
BSDB-Net: Band-Split Dual-Branch Network with Selective State Spaces Mechanism for Monaural Speech Enhancement
Cunhang Fan, Enrui Liu, Andong Li et al.
Adaptive backtracking for faster optimization
Joao V. Cavalcanti, Laurent Lessard, Ashia Wilson
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks
Minh-Duc Nguyen, Phuong Mai Dinh, Quang-Huy Nguyen et al.
BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings
Lam Ngo, Huong Ha, Jeffrey Chan et al.
Large Language Models Are Read/Write Policy-Makers for Simultaneous Generation
Shoutao Guo, Shaolei Zhang, Zhengrui Ma et al.
Metalic: Meta-Learning In-Context with Protein Language Models
Jacob Beck, Shikha Surana, Manus McAuliffe et al.
Scaling Diffusion Mamba with Bidirectional SSMs for Efficient 3D Shape Generation
Shentong Mo
MEgoHand: Multimodal Egocentric Hand-Object Interaction Motion Generation
Bohan Zhou, Yi Zhan, Zhongbin Zhang et al.
Implicit Relative Labeling-Importance Aware Multi-Label Metric Learning
Jun-Xiang Mao, Yong Rui, Min-Ling Zhang
LRM-LLaVA: Overcoming the Modality Gap of Multilingual Large Language-Vision Model for Low-Resource Languages
Junchen Li, Qing Yang, Bojian Jiang et al.
Representing Sounds as Neural Amplitude Fields: A Benchmark of Coordinate-MLPs and a Fourier Kolmogorov-Arnold Framework
Linfei Li, Lin Zhang, Zhong Wang et al.
Regretful Decisions under Label Noise
Sujay Nagaraj, Yang Liu, Flavio Calmon et al.
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
Kaizheng Wang, Fabio Cuzzolin, Keivan Shariatmadar et al.
Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models
Xiyu Liu, Zhengxiao Liu, Naibin Gu et al.
Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture
Sajad Movahedi, Antonio Orvieto, Seyed-Mohsen Moosavi-Dezfooli
HShare: Fast LLM Decoding by Hierarchical Key-Value Sharing
Huaijin Wu, Lianqiang Li, Hantao Huang et al.
Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning
Ran Ma, Yixiong Zou, Yuhua Li et al.
Indirect Gradient Matching for Adversarial Robust Distillation
Hongsin Lee, Seungju Cho, Changick Kim
DialogDraw: Image Generation and Editing System Based on Multi-Turn Dialogue
Shichao Ma, Xinfeng Zhang, Zeng Zhao et al.
Entropy Rectifying Guidance for Diffusion and Flow Models
Tariq Berrada Ifriqi, Adriana Romero-Soriano, Michal Drozdzal et al.
Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient
Wenlong Wang, Ivana Dusparic, Yucheng Shi et al.
Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning
Hyungkyu Kang, Min-hwan Oh
DUALFormer: Dual Graph Transformer
Zhuo Jiaming, Yuwei Liu, Yintong Lu et al.
WorldAPIs: The World Is Worth How Many APIs? A Thought Experiment
Jiefu Ou, Arda Uzunoğlu, Benjamin Van Durme et al.
Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings
Yehya Farhat, Hamza ElMokhtar Shili, Fangshuo Liao et al.
PEAR: Primitive Enabled Adaptive Relabeling for Boosting Hierarchical Reinforcement Learning
Utsav Singh, Vinay Purushothaman Namboodiri
Multi-Grained Query-Guided Set Prediction Network for Grounded Multimodal Named Entity Recognition
Jielong Tang, Zhenxing Wang, ZiYang Gong et al.
Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning
Yuchen Liu, Chen Chen, Lingjuan Lyu et al.
Rethinking Classifier Re-Training in Long-Tailed Recognition: Label Over-Smooth Can Balance
Siyu Sun, Han Lu, Jiangtong Li et al.
Enhancing Multi-View Classification Reliability with Adaptive Rejection
Wei Liu, Yufei Chen, Xiaodong Yue
Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning
Yujing Wang, Hainan Zhang, Sijia Wen et al.
Semi-Supervised CLIP Adaptation by Enforcing Semantic and Trapezoidal Consistency
Kai Gan, Bo Ye, Min-Ling Zhang et al.
Holographic Node Representations: Pre-training Task-Agnostic Node Embeddings
Beatrice Bevilacqua, Joshua Robinson, Jure Leskovec et al.
AniSDF: Fused-Granularity Neural Surfaces with Anisotropic Encoding for High-Fidelity 3D Reconstruction
Jingnan Gao, Zhuo Chen, Xiaokang Yang et al.
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
Rana Muhammad Shahroz Khan, Pingzhi Li, Sukwon Yun et al.
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling
Jasmine Bayrooti, Carl Ek, Amanda Prorok
Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis
Lin Yuan, Jun Xu, Honghao Gui et al.
MEPNet: Medical Entity-Balanced Prompting Network for Brain CT Report Generation
Xiaodan Zhang, Yanzhao Shi, Junzhong Ji et al.
Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning
Zhiming Li, Junzhe Jiang, Yushi Cao et al.
Advancing Audio-Based Text Generation with Imbalance Preference Optimization
Zhenghao Zhou, Yongjie Liu, Chen Cao
Test-Time Ensemble via Linear Mode Connectivity: A Path to Better Adaptation
Byungjai Kim, Chanho Ahn, Wissam Baddar et al.
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
Jingyang Li, Jiachun Pan, Vincent Tan et al.
Doubly Optimal Policy Evaluation for Reinforcement Learning
Shuze Liu, Claire Chen, Shangtong Zhang
Rethinking the generalization of drug target affinity prediction algorithms via similarity aware evaluation
Chenbin Zhang, Zhiqiang Hu, Jiang Chuchu et al.
Symbolic Neural Ordinary Differential Equations
Xin Li, Chengli Zhao, Xue Zhang et al.
Learning Shape-Independent Transformation via Spherical Representations for Category-Level Object Pose Estimation
Huan Ren, Wenfei Yang, Xiang Liu et al.
Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection
Ziyou Liang, Weifeng Liu, Run Wang et al.
DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models
Yanming Liu, Xinyue Peng, Yuwei Zhang et al.
Neural Conformal Control for Time Series Forecasting
Ruipu Li, Alexander Rodríguez
Medical Manifestation-Aware De-Identification
Yuan Tian, Shuo Wang, Guangtao Zhai
Neural Control and Certificate Repair via Runtime Monitoring
Emily Yu, Đorđe Žikelić, Thomas A. Henzinger
ClawMachine: Learning to Fetch Visual Tokens for Referential Comprehension
Tianren Ma, Lingxi Xie, Yunjie Tian et al.
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks
Haoyang Li, Li Bai, Qingqing Ye et al.