Most Cited 2025 "risk allocation" Papers
22,274 papers found • Page 91 of 112
Conference
Recurrent Memory for Online Interdomain Gaussian Processes
Wenlong Chen, Naoki Kiyohara, Harrison Zhu et al.
RFMPose: Generative Category-level Object Pose Estimation via Riemannian Flow Matching
Wenzhe Ouyang, Qi Ye, Jinghua Wang et al.
MMOne: Representing Multiple Modalities in One Scene
Zhifeng Gu, Bing WANG
Feature Coding in the Era of Large Models: Dataset, Test Conditions, and Benchmark
Changsheng Gao, Yifan Ma, Qiaoxi Chen et al.
On Minimax Estimation of Parameters in Softmax-Contaminated Mixture of Experts
Fanqi Yan, Huy Nguyen, Le Dung et al.
EA-Vit: Efficient Adaptation for Elastic Vision Transformer
Chen Zhu, Wangbo Zhao, Huiwen Zhang et al.
Delving into Large Language Models for Effective Time-Series Anomaly Detection
JUN WOO PARK, Kyudan Jung, Dohyun Lee et al.
Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text Descriptions
Jihoon Kwon, Kyle Min, Jy-yong Sohn
Covariances for Free: Exploiting Mean Distributions for Training-free Federated Learning
Dipam Goswami, Simone Magistri, Kai Wang et al.
Deep Continuous-Time State-Space Models for Marked Event Sequences
Yuxin Chang, Alex Boyd, Cao (Danica) Xiao et al.
A Framework for Double-Blind Federated Adaptation of Foundation Models
Nurbek Tastan, Karthik Nandakumar
Diffusion Guided Adaptive Augmentation for Generalization in Visual Reinforcement Learning
Jeong Woon Lee, Hyoseok Hwang
Understanding Parametric and Contextual Knowledge Reconciliation within Large Language Models
Jun Zhao, Yongzhuo Yang, Xiang Hu et al.
From Easy to Hard: The MIR Benchmark for Progressive Interleaved Multi-Image Reasoning
Hang Du, Jiayang Zhang, Guoshun Nan et al.
Semi-supervised Deep Transfer for Regression without Domain Alignment
Mainak Biswas, Ambedkar Dukkipati, Devarajan Sridharan
Integrating Task-Specific and Universal Adapters for Pre-Trained Model-based Class-Incremental Learning
yan wang, Da-Wei Zhou, Han-Jia Ye
On Geometry-Enhanced Parameter-Efficient Fine-Tuning for 3D Scene Segmentation
Liyao Tang, Zhe Chen, Dacheng Tao
Bandit and Delayed Feedback in Online Structured Prediction
Yuki Shibukawa, Taira Tsuchiya, Shinsaku Sakaue et al.
Functional Matching of Logic Subgraphs: Beyond Structural Isomorphism
Ziyang Zheng, Kezhi Li, Zhengyuan Shi et al.
Beyond the Limits: Overcoming Negative Correlation of Activation-Based Training-Free NAS
Haidong Kang, Lianbo Ma, Pengjun Chen et al.
Contact-Aware Refinement of Human Pose Pseudo-Ground Truth via Bioimpedance Sensing
Maria-Paola Forte, Nikos Athanasiou, Giulia Ballardini et al.
Faster Algorithms for Structured John Ellipsoid Computation
Yang Cao, Xiaoyu Li, Zhao Song et al.
Semi-ViM: Bidirectional State Space Model for Mitigating Label Imbalance in Semi-Supervised Learning
Hongyang He, Hongyang Xie, Haochen You et al.
Optical Coherence Tomography Harmonization with Anatomy-Guided Latent Metric Schrödinger Bridges
Shuwen Wei, Samuel Remedios, Blake Dewey et al.
Smoothed Differentiation Efficiently Mitigates Shattered Gradients in Explanations
Adrian Hill, Neal McKee, Johannes Maeß et al.
Structured Policy Optimization: Enhance Large Vision-Language Model via Self-referenced Dialogue
Guohao Sun, Can Qin, Yihao Feng et al.
Computable universal online learning
Dariusz Kalociński, Tomasz Steifer
Spatial Preference Rewarding for MLLMs Spatial Understanding
Han Qiu, Peng Gao, Lewei Lu et al.
Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data
Lingkai Kong, Haichuan Wang, Tonghan Wang et al.
Open-Unfairness Adversarial Mitigation for Generalized Deepfake Detection
Zhaoyang Li, Zhu Teng, Baopeng Zhang et al.
Positional Fragility in LLMs: How Offset Effects Reshape Our Understanding of Memorization Risks
Yixuan Xu, Antoine Bosselut, Imanol Schlag
Flick: Empowering Federated Learning with Commonsense Knowledge
Ran Zhu, Mingkun Yang, Shiqiang Wang et al.
Optimal Estimation of the Best Mean in Multi-Armed Bandits
Takayuki Osogami, Junya Honda, Junpei Komiyama
MDReID: Modality-Decoupled Learning for Any-to-Any Multi-Modal Object Re-Identification
Yingying Feng, Jie Li, Jie Hu et al.
Discovering Important Experts for Mixture-of-Experts Models Pruning Through a Theoretical Perspective
Weizhong Huang, Yuxin Zhang, Xiawu Zheng et al.
MR. Video: MapReduce as an Effective Principle for Long Video Understanding
Ziqi Pang, Yu-Xiong Wang
Graph-Based Attention for Differentiable MaxSAT Solving
Sota Moriyama, Katsumi Inoue
Active Membership Inference Test (aMINT): Enhancing Model Auditability with Multi-Task Learning.
Daniel DeAlcala, Aythami Morales, Julian Fierrez et al.
Mitigating Object Hallucinations via Sentence-Level Early Intervention
Shangpin Peng, Senqiao Yang, Li Jiang et al.
Group-in-Group Policy Optimization for LLM Agent Training
Lang Feng, Zhenghai Xue, Tingcong Liu et al.
Confound from All Sides, Distill with Resilience: Multi-Objective Adversarial Paths to Zero-Shot Robustness
Junhao Dong, Jiao Liu, Xinghua Qu et al.
GCAV: A Global Concept Activation Vector Framework for Cross-Layer Consistency in Interpretability
Zhenghao He, Sanchit Sinha, Guangzhi Xiong et al.
Miss-ReID: Delivering Robust Multi-Modality Object Re-Identification Despite Missing Modalities
Xi ruida
A Unified Framework to BRIDGE Complete and Incomplete Deep Multi-View Clustering under Non-IID Missing Patterns
Xiaorui Jiang, Buyun He, Peng Yuan Zhou et al.
PointTruss: K-Truss for Point Cloud Registration
Yue Wu, Jun Jiang, Yongzhe Yuan et al.
GMM-based VAE model with Normalising Flow for effective stochastic segmentation
Conghui Li, Chern Hong Lim, Xin Wang
A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal Inference
Harsh Parikh, Trang Nguyen, Elizabeth Stuart et al.
VideoTitans: Scalable Video Prediction with Integrated Short- and Long-term Memory
Young-Jae Park, Minseok Seo, Hae-Gon Jeon
Reasoning Path Compression: Compressing Generation Trajectories for Efficient LLM Reasoning
Jiwon Song, Dongwon Jo, Yulhwa Kim et al.
Divide-and-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-supervised Continual Learning
Yue Duan, Taicai Chen, Lei Qi et al.
Deep Taxonomic Networks for Unsupervised Hierarchical Prototype Discovery
Zekun Wang, Ethan Haarer, Tianyi Zhu et al.
InstaInpaint: Instant 3D-Scene Inpainting with Masked Large Reconstruction Model
Junqi You, Chieh Lin, Weijie Lyu et al.
SNAP: Low-Latency Test-Time Adaptation with Sparse Updates
Hyeongheon Cha, Dong Min Kim, Hye Won Chung et al.
NegRefine: Refining Negative Label-Based Zero-Shot OOD Detection
Amirhossein Ansari, Ke Wang, Pulei Xiong
Rebalancing Contrastive Alignment with Bottlenecked Semantic Increments in Text-Video Retrieval
Jian Xiao, Zijie Song, Jialong Hu et al.
Masked Diffusion Models as Energy Minimization
Sitong Chen, Shen Nie, Jiacheng Sun et al.
RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models
Zukang Xu, Xing Hu, Qiang Wu et al.
ZeroS: Zero‑Sum Linear Attention for Efficient Transformers
Jiecheng Lu, Xu Han, Yan Sun et al.
MV-MATH: Evaluating Multimodal Math Reasoning in Multi-Visual Contexts
Peijie Wang, Zhong-Zhi Li, Fei Yin et al.
Faster Generic Identification in Tree-Shaped Structural Causal Models
Yasmine Briefs, Markus Bläser
Bounds on the computational complexity of neurons due to dendritic morphology
Anamika Agrawal, Michael Buice
HEIR: Learning Graph-Based Motion Hierarchies
Cheng Zheng, William Koch, Baiang Li et al.
Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization
ZUYU ZHANG, Ning Chen, Yongshan Liu et al.
Open-set Cross Modal Generalization via Multimodal Unified Representation
Hai Huang, Yan Xia, Shulei Wang et al.
AdaMSS: Adaptive Multi-Subspace Approach for Parameter-Efficient Fine-Tuning
Jingjing Zheng, Wanglong Lu, Yiming Dong et al.
Boosting Generative Adversarial Transferability with Self-supervised Vision Transformer Features
Shangbo Wu, Yu-an Tan, Ruinan Ma et al.
Degradation-Aware Dynamic Schrödinger Bridge for Unpaired Image Restoration
Jingjun Yi, Qi Bi, Hao Zheng et al.
Learning a Cross-Modal Schrödinger Bridge for Visual Domain Generalization
Hao Zheng, Jingjun Yi, Qi Bi et al.
Dataset Distillation as Data Compression: A Rate-Utility Perspective
Youneng Bao, Yiping Liu, Zhuo Chen et al.
Certifying Concavity and Monotonicity in Games via Sum-of-Squares Hierarchies
Vincent Leon, Iosif Sakos, Ryann Sim et al.
Variational Inference with Mixtures of Isotropic Gaussians
Marguerite Petit-Talamon, Marc Lambert, Anna Korba
UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement
Xiao Zhang, Fei Wei, Yong Wang et al.
TF-MAS: Training-free Mamba2 Architecture Search
Yi Fan, Yu-Bin Yang
Learning from Disjoint Views: A Contrastive Prototype Matching Network for Fully Incomplete Multi-View Clustering
Yiming Wang, Qun Li, Dongxia Chang et al.
Retrv-R1: A Reasoning-Driven MLLM Framework for Universal and Efficient Multimodal Retrieval
Lanyun Zhu, Deyi Ji, Tianrun Chen et al.
Boundary Probing for Input Privacy Protection When Using LMM Services
Xiaofei Hui, Haoxuan Qu, Ping Hu et al.
Consistency of Physics-Informed Neural Networks for Second-Order Elliptic Equations
Yuqian Cheng, Zhuo Chen, Qian Lin
Safety Pretraining: Toward the Next Generation of Safe AI
Pratyush Maini, Sachin Goyal, Dylan Sam et al.
Prompted Policy Search: Reinforcement Learning through Linguistic and Numerical Reasoning in LLMs
Yifan Zhou, Sachin Grover, Mohamed El Mistiri et al.
Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention
Jiawei Gu, Ziyue Qiao, Zechao Li
For Better or for Worse, Transformers Seek Patterns for Memorization
Madhur Panwar, Gail Weiss, Navin Goyal et al.
GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters
Wanjia Zhao, Jiaqi Han, Siyi Gu et al.
Asymmetric Duos: Sidekicks Improve Uncertainty
Tim G. Zhou, Evan Shelhamer, Geoff Pleiss
PARCO: Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization
Federico Berto, Chuanbo Hua, Laurin Luttmann et al.
Hierarchical Demonstration Order Optimization for Many-shot In-Context Learning
Yinhan He, Wendy Zheng, Song Wang et al.
DiffRefine: Diffusion-based Proposal Specific Point Cloud Densification for Cross-Domain Object Detection
Sangyun Shin, Yuhang He, Xinyu Hou et al.
ChartPoint: Guiding MLLMs with Grounding Reflection for Chart Reasoning
Zhengzhuo Xu, Sinan Du, Yiyan Qi et al.
Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm
Yang Xu, Swetha Ganesh, Washim Mondal et al.
Agnostic Continuous-Time Online Learning
Pramith Devulapalli, Changlong Wu, Ananth Grama et al.
InfoBridge: Balanced Multimodal Integration through Conditional Dependency Modeling
Chenxin Li, Yifan Liu, Panwang Pan et al.
FedRACE: A Hierarchical and Statistical Framework for Robust Federated Learning
Gang Yan, Sikai Yang, Wan Du
Unveiling the Uncertainty in Embodied and Operational Carbon of Large AI Models through a Probabilistic Carbon Accounting Model
Xiaoyang Zhang, He Fang, Yang Deng et al.
Sample Complexity of Distributionally Robust Average-Reward Reinforcement Learning
Zijun Chen, Shengbo Wang, Nian Si
LLM-assisted Entropy-based Adaptive Distillation for Unsupervised Fine-grained Visual Representation Learning
Jianfeng Dong, Danfeng Luo, Daizong Liu et al.
Moderating the Generalization of Score-based Generative Model
Wan Jiang, He Wang, Xin Zhang et al.
MOBIUS: Big-to-Mobile Universal Instance Segmentation via Multi-modal Bottleneck Fusion and Calibrated Decoder Pruning
Mattia Segu, Marta Tintore Gazulla, Yongqin Xian et al.
AltLoRA: Towards Better Gradient Approximation in Low-Rank Adaptation with Alternating Projections
Xin Yu, Yujia Wang, Jinghui Chen et al.
From Faults to Features: Pretraining to Learn Robust Representations against Sensor Failures
Jens U. Brandt, Noah Christoph Pütz, Marcus Greiff et al.
CIARD: Cyclic Iterative Adversarial Robustness Distillation
Liming Lu, Shuchao Pang, Xu Zheng et al.
Secure and Confidential Certificates of Online Fairness
Olive Franzese, Ali Shahin Shamsabadi, Carter Luck et al.
Towards Pre-trained Graph Condensation via Optimal Transport
Yeyu Yan, Shuai Zheng, Wenjun Hui et al.
Object-Centric Concept-Bottlenecks
David Steinmann, Wolfgang Stammer, Antonia Wüst et al.
ShortV: Efficient Multimodal Large Language Models by Freezing Visual Tokens in Ineffective Layers
Qianhao Yuan, Qingyu Zhang, yanjiang liu et al.
Brain-Inspired fMRI-to-Text Decoding via Incremental and Wrap-Up Language Modeling
Wentao Lu, Dong Nie, Pengcheng Xue et al.
Tightening Regret Lower and Upper Bounds in Restless Rising Bandits
Cristiano Migali, Marco Mussi, Gianmarco Genalti et al.
A Frustratingly Simple Yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1
Zhaoyi Li, Xiaohan Zhao, Dong-Dong Wu et al.
GSPN-2: Efficient Parallel Sequence Modeling
Hongjun Wang, yitong jiang, Collin McCarthy et al.
Co-op: Correspondence-based Novel Object Pose Estimation
Sungphill Moon, Hyeontae Son, Dongcheol Hur et al.
On the Optimality of the Median-of-Means Estimator under Adversarial Contamination
Xabier de Juan, Santiago Mazuelas
LIFT: Latent Implicit Functions for Task- and Data-Agnostic Encoding
Amirhossein Kazerouni, Soroush Mehraban, Michael Brudno et al.
What’s in the Image? A Deep-Dive into the Vision of Vision Language Models
Omri Kaduri, Shai Bagon, Tali Dekel
Robust Distributed Estimation: Extending Gossip Algorithms to Ranking and Trimmed Means
Anna van Elst, Igor Colin, Stephan Clémençon
PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation
Jiabei Cheng, Changxi Chi, Jingbo Zhou et al.
Partial Forward Blocking: A Novel Data Pruning Paradigm for Lossless Training Acceleration
Dongyue Wu, Zilin Guo, Jialong Zuo et al.
Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death
Sihyung Park, Wenbin Lu, Shu Yang
Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection
Subhajit Maity, Ayan Bhunia, Subhadeep Koley et al.
StolenLoRA: Exploring LoRA Extraction Attacks via Synthetic Data
Yixu Wang, Yan Teng, Yingchun Wang et al.
TITAN: Query-Token based Domain Adaptive Adversarial Learning
Tajamul Ashraf, Janibul Bashir
Deciphering Cross-Modal Alignment in Large Vision-Language Models via Modality Integration Rate
Qidong Huang, Xiaoyi Dong, Pan Zhang et al.
Formal Models of Active Learning from Contrastive Examples
Farnam Mansouri, Hans Simon, Adish Singla et al.
Posterior Sampling by Combining Diffusion Models with Annealed Langevin Dynamics
Zhiyang Xun, Shivam Gupta, Eric Price
Evolving and Regularizing Meta-Environment Learner for Fine-Grained Few-Shot Class-Incremental Learning
Li-Jun Zhao, Zhen-Duo Chen, Yongxin Wang et al.
Sketched Gaussian Mechanism for Private Federated Learning
Qiaobo Li, Zhijie Chen, Arindam Banerjee
Sum Estimation under Personalized Local Differential Privacy
Dajun Sun, Wei Dong, Yuan Qiu et al.
PhysVLM-AVR: Active Visual Reasoning for Multimodal Large Language Models in Physical Environments
Weijie Zhou, Xuantang Xiong, Yi Peng et al.
Belief-Calibrated Multi-Agent Consensus Seeking for Complex NLP Tasks
Wentao Deng, Jiahuan Pei, Zhiwei Xu et al.
One Encoder to Rule them All: Representation Learning for Model-free Visual Reinforcement Learning using Fourier Neural Operators
Parag Dutta, Mohd Ayyoob, Shalabh Bhatnagar et al.
Test-Time Prompt Tuning for Zero-Shot Depth Completion
Chanhwi Jeong, Inhwan Bae, Jin-Hwi Park et al.
Discovering Compositional Hallucinations in LVLMs
Sibei Yang, Ge Zheng, Jiajin Tang et al.
Accelerating Optimization via Differentiable Stopping Time
Zhonglin Xie, Yiman Fong, Haoran Yuan et al.
Improving Perturbation-based Explanations by Understanding the Role of Uncertainty Calibration
Thomas Decker, Volker Tresp, Florian Buettner
Revisiting Orbital Minimization Method for Neural Operator Decomposition
Jongha (Jon) Ryu, Samuel Zhou, Gregory Wornell
Federated Continual Learning via Orchestrating Multi-Scale Expertise
Xiaoyang Yi, Yang Liu, Binhan Yang et al.
Generalized Tensor-based Parameter-Efficient Fine-Tuning via Lie Group Transformations
Chongjie Si, Zhiyi Shi, Xuehui Wang et al.
Robust Label Proportions Learning
Jueyu Chen, Wantao Wen, Yeqiang Wang et al.
Breaking the Performance Ceiling in Reinforcement Learning requires Inference Strategies
Felix Chalumeau, Daniel Rajaonarivonivelomanantsoa, Ruan John de Kock et al.
Mastering Collaborative Multi-modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness
Qifan Yu, Zhebei Shen, Zhongqi Yue et al.
Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination
Rakshit Trivedi, Kartik Sharma, David Parkes
Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation
Zixin Wang, Dong Gong, Sen Wang et al.
DynamicVerse: A Physically-Aware Multimodal Framework for 4D World Modeling
Kairun Wen, Yuzhihuang, Runyu Chen et al.
Hierarchical Shortest-Path Graph Kernel Network
Jiaxin Wang, Wenxuan Tu, Jieren Cheng
Information-Theoretic Discrete Diffusion
Moongyu Jeon, Sangwoo Shin, Dongjae Jeon et al.
Partial Physics Informed Diffusion Model for Ocean Chlorophyll Concentration Reconstruction
Qianxun Xu, Zuchuan Li
PubSub-VFL: Towards Efficient Two-Party Split Learning in Heterogeneous Environments via Publisher/Subscriber Architecture
Yi Liu, Yang Liu, Leqian Zheng et al.
Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning
Wenxuan Bao, Ruxi Deng, Ruizhong Qiu et al.
Taming Hyperparameter Sensitivity in Data Attribution: Practical Selection Without Costly Retraining
Weiyi Wang, Junwei Deng, Yuzheng Hu et al.
FlashMo: Geometric Interpolants and Frequency-Aware Sparsity for Scalable Efficient Motion Generation
Zeyu Zhang, Yiran Wang, Danning Li et al.
EvoBrain: Dynamic Multi-Channel EEG Graph Modeling for Time-Evolving Brain Networks
Rikuto Kotoge, Zheng Chen, Tasuku Kimura et al.
Learning Counterfactually Decoupled Attention for Open-World Model Attribution
Yu Zheng, Boyang Gong, Fanye Kong et al.
Modelling the control of offline processing with reinforcement learning
Eleanor Spens, Neil Burgess, Tim Behrens
IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector
Zheng CHEN, Yushi Feng, Jisheng Dang et al.
MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts
Mahmoud Selim, Sriharsha Bhat, Karl H. Johansson
Secure On-Device Video OOD Detection Without Backpropagation
Li Li, Peilin Cai, Yuxiao Zhou et al.
EnzyControl: Adding Functional and Substrate-Specific Control for Enzyme Backbone Generation
Chao Song, ZHIYUAN LIU, Han Huang et al.
Improved Noise Schedule for Diffusion Training
Tiankai Hang, Shuyang Gu, Jianmin Bao et al.
SignFlow Bipartite Subgraph Network For Large-Scale Graph Link Sign Prediction
Yixiao Zhou, Xiaoqing Lyu, Hongxiang Lin et al.
SceneForge: Enhancing 3D-text alignment with Structured Scene Compositions
Cristian Sbrolli, Matteo Matteucci
Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective
Chenwang Wu, Yiu-ming Cheung, Bo Han et al.
SplatTalk: 3D VQA with Gaussian Splatting
Anh Thai, Kyle Genova, Songyou Peng et al.
A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors
Sebastian Wagner-Carena, Aizhan Akhmetzhanova, Sydney Erickson
Gaussian Processes for Shuffled Regression
Masahiro Kohjima
Failure Cases Are Better Learned But Boundary Says Sorry: Facilitating Smooth Perception Change for Accuracy-Robustness Trade-Off in Adversarial Training
Yanyun Wang, Li Liu
Reducing the Probability of Undesirable Outputs in Language Models Using Probabilistic Inference
Stephen Zhao, Aidan Li, Rob Brekelmans et al.
ProJudge: A Multi-Modal Multi-Discipline Benchmark and Instruction-Tuning Dataset for MLLM-based Process Judges
Jiaxin Ai, Pengfei Zhou, xu Pan et al.
CLIP-GS: Unifying Vision-Language Representation with 3D Gaussian Splatting
Siyu Jiao, Haoye Dong, Yuyang Yin et al.
Near-Optimal Quantum Algorithms for Computing (Coarse) Correlated Equilibria of General-Sum Games
Tongyang Li, Xinzhao Wang, Yexin Zhang
Synergy Between the Strong and the Weak: Spiking Neural Networks are Inherently Self-Distillers
Yongqi Ding, Lin Zuo, Mengmeng Jing et al.
Adversarial Diffusion for Robust Reinforcement Learning
Daniele Foffano, Alessio Russo, Alexandre Proutiere
Revelio: Interpreting and leveraging semantic information in diffusion models
Dahye Kim, Xavier Thomas, Deepti Ghadiyaram
When No Paths Lead to Rome: Benchmarking Systematic Neural Relational Reasoning
Anirban Das, Muhammad Irtaza Khalid, Rafael Peñaloza et al.
SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models
Xianfu Cheng, Wei Zhang, Shiwei Zhang et al.
CMAD: Correlation-Aware and Modalities-Aware Distillation for Multimodal Sentiment Analysis with Missing Modalities
Yan Zhuang, Minhao Liu, Wei Bai et al.
FedWSQ: Efficient Federated Learning with Weight Standardization and Distribution-Aware Non-Uniform Quantization
Seung-Wook Kim, Seongyeol Kim, Jiah Kim et al.
Reinforcement Learning Meets Masked Generative Models: Mask-GRPO for Text-to-Image Generation
Yifu Luo, Xinhao Hu, Keyu Fan et al.
Plenodium: Underwater 3D Scene Reconstruction with Plenoptic Medium Representation
Changguang WU, Jiangxin Dong, Chengjian Li et al.
Adversarial Purification via Super-Resolution and Diffusion
Mincheol Park, Cheonjun Park, Seungseop Lim et al.
Lua-LLM: Learning Unstructured-Sparsity Allocation for Large Language Models
Mingge Lu, Jingwei Sun, Junqing Lin et al.
ZEBRA: Towards Zero-Shot Cross-Subject Generalization for Universal Brain Visual Decoding
Haonan Wang, Jingyu Lu, Hongrui Li et al.
Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving
Hossein Askari, Yadan Luo, Hongfu Sun et al.
On the Entropy Calibration of Language Models
Steven Cao, Gregory Valiant, Percy Liang
Measuring AI Ability to Complete Long Software Tasks
Thomas Kwa, Ben West, Joel Becker et al.
FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection
Brian Isaac-Medina, Mauricio Che, Yona Falinie A. Gaus et al.
Multimodal Large Language Model-Guided ISP Hyperparameter Optimization with Dynamic Preference Learning
Xinyu Sun, Zhikun Zhao, congyan lang et al.
ReTracker: Exploring Image Matching for Robust Online Any Point Tracking
Dongli Tan, Xingyi He, Sida Peng et al.
Self-Supervised Direct Preference Optimization for Text-to-Image Diffusion Models
Liang Peng, Boxi Wu, Haoran Cheng et al.
Median Selection with Noisy and Structural Information
Chenglin Fan, Mingyu Kang
Long-Tailed Classification with Multi-Granularity Semantics
Yuting Liu, Liu Yang, Yu Wang
On the Convergence of Stochastic Smoothed Multi-Level Compositional Gradient Descent Ascent
Xinwen Zhang, Hongchang Gao
IA-GGAD: Zero-shot Generalist Graph Anomaly Detection via Invariant and Affinity Learning
Xiong Zhang, Zhenli He, Changlong Fu et al.
Decoupled Entropy Minimization
Jing Ma, Hanlin Li, Xiang Xiang
SpecMAS: A Multi-Agent System for Self-Verifying System Generation via Formal Model Checking
Rishabh Agrawal, Kaushik Ranade, Aja Khanal et al.
QFFT, Question-Free Fine-Tuning for Adaptive Reasoning
Wanlong Liu, Junxiao Xu, Fei Yu et al.
Multi-Agent Learning under Uncertainty: Recurrence vs. Concentration
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos et al.
Accurately Predicting Protein Mutational Effects via a Hierarchical Many-Body Attention Network
Dahao Xu, Jiahua Rao, Mingming Zhu et al.
Attention to the Burtiness in Visual Prompt Tuning!
Yuzhu Wang, Manni Duan, Shu Kong
LMM-Det: Make Large Multimodal Models Excel in Object Detection
Jincheng Li, Chunyu Xie, Ji Ao et al.
Is Meta-Learning Out? Rethinking Unsupervised Few-Shot Classification with Limited Entropy
Yunchuan Guan, Yu Liu, Ke Zhou et al.
Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning
Ziqi Gu, Chunyan Xu, Wenxuan Fang et al.
Perspective-Aware Teaching: Adapting Knowledge for Heterogeneous Distillation
Jhe-Hao Lin, Yi Yao, Chan-Feng Hsu et al.
Information Density Principle for MLLM Benchmarks
Chunyi Li, Xiaozhe Li, Zicheng Zhang et al.