Most Cited 2025 "risk allocation" Papers
22,274 papers found • Page 88 of 112
Conference
Vision-Language Model IP Protection via Prompt-based Learning
Lianyu Wang, Meng Wang, Huazhu Fu et al.
Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction
Yisen Gao, Xingcheng Fu, Qingyun Sun et al.
Constant Bit-size Transformers Are Turing Complete
Qian Li, Yuyi Wang
Navigating the MIL Trade-Off: Flexible Pooling for Whole Slide Image Classification
Hossein Jafarinia, Danial Hamdi, Amirhossein Alamdar et al.
MamTiff-CAD: Multi-Scale Latent Diffusion with Mamba+ for Complex Parametric Sequence
Liyuan Deng, Yunpeng Bai, Yongkang Dai et al.
Transcending Cost-Quality Tradeoff in Agent Serving via Session-Awareness
Yanyu Ren, Li Chen, Dan Li et al.
Physics-informed Reduced Order Modeling of Time-dependent PDEs via Differentiable Solvers
Nima Hosseini Dashtbayaz, Hesam Salehipour, Adrian Butscher et al.
IMPACT: Irregular Multi-Patch Adversarial Composition Based on Two‑Phase Optimization
Zenghui Yang, Xingquan Zuo, Hai Huang et al.
Beyond Label Semantics: Language-Guided Action Anatomy for Few-shot Action Recognition
Zefeng Qian, Xincheng Yao, Yifei Huang et al.
Ouroboros: Single-step Diffusion Models for Cycle-consistent Forward and Inverse Rendering
shanlin sun, Yifan Wang, Hanwen Zhang et al.
HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation
Hermann Kumbong, Xian Liu, Tsung-Yi Lin et al.
Task-Oriented Human Grasp Synthesis via Context- and Task-Aware Diffusers
An Lun Liu, Yu-Wei Chao, Yi-Ting Chen
FaceShield: Defending Facial Image against Deepfake Threats
Jaehwan Jeong, Sumin In, Sieun Kim et al.
RoboAnnotatorX: A Comprehensive and Universal Annotation Framework for Accurate Understanding of Long-horizon Robot Demonstration
Longxin Kou, Fei Ni, Jianye HAO et al.
What If: Understanding Motion Through Sparse Interactions
Stefan A. Baumann, Nick Stracke, Timy Phan et al.
Enhancing Privacy in Multimodal Federated Learning with Information Theory
Tianzhe Xiao, Yichen Li, Yining Qi et al.
S^3-Face: SSS-Compliant Facial Reflectance Estimation via Diffusion Priors
Xingyu Ren, Jiankang Deng, Yuhao Cheng et al.
Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization
Milad Sefidgaran, Kimia Nadjahi, Abdellatif Zaidi
TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses
Sahar Dastani, Ali Bahri, Gustavo Vargas Hakim et al.
Mixture of Experts Guided by Gaussian Splatters Matters: A new Approach to Weakly-Supervised Video Anomaly Detection
Giacomo D'Amicantonio, Snehashis Majhi, Quan Kong et al.
InstructHOI: Context-Aware Instruction for Multi-Modal Reasoning in Human-Object Interaction Detection
Jinguo Luo, Weihong Ren, Quanlong Zheng et al.
The Quotient Bayesian Learning Rule
Mykola Lukashchuk, Raphaël Trésor, Wouter Nuijten et al.
S-Crescendo: A Nested Transformer Weaving Framework for Scalable Nonlinear System in S-Domain Representation
Junlang Huang, Chen Hao, Li Luo et al.
On the VC dimension of deep group convolutional neural networks
Anna Sepliarskaia, Sophie Langer, Johannes Schmidt-Hieber
MotionStreamer: Streaming Motion Generation via Diffusion-based Autoregressive Model in Causal Latent Space
Lixing Xiao, Shunlin Lu, Huaijin Pi et al.
Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators
Albert Matveev, Sanmitra Ghosh, Aamal Hussain et al.
SEMPO: Lightweight Foundation Models for Time Series Forecasting
Hui He, Kun Yi, Yuanchi Ma et al.
Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression
Xi Zhang, Xiaolin Wu, Jiamang Wang et al.
Proximalized Preference Optimization for Diverse Feedback Types: A Decomposed Perspective on DPO
Kaiyang Guo, Yinchuan Li, Zhitang Chen
Error Recognition in Procedural Videos using Generalized Task Graph
Shih-Po Lee, Ehsan Elhamifar
Efficient Knowledge Transfer in Federated Recommendation for Joint Venture Ecosystem
Yichen Li, Yijing Shan, YI LIU et al.
AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant Adversarial Patches
Wenjun Ji, Yuxiang Fu, Luyang Ying et al.
YEAST: Yet Another Sequential Test
Alexey Kurennoy, Majed Dodin, Tural Gurbanov et al.
PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning
Mingqi Wu, Qiang Sun, Archer Yang
WalkVLM: Aid Visually Impaired People Walking by Vision Language Model
Zhiqiang Yuan, Ting Zhang, Yeshuang Zhu et al.
Breakthrough Sensor-Limited Single View: Towards Implicit Temporal Dynamics for Time Series Domain Adaptation
Mingyang Liu, Xinyang Chen, Xiucheng Li et al.
Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRA in Continual Learning
Chaoyang Li, Runze Ye, Jianyang Qin et al.
Unifying and Enhancing Graph Transformers via a Hierarchical Mask Framework
Yujie Xing, Xiao Wang, Bin Wu et al.
HoloLLM: Multisensory Foundation Model for Language-Grounded Human Sensing and Reasoning
Chuhao Zhou, Jianfei Yang
The Hawthorne Effect in Reasoning Models: Evaluating and Steering Test Awareness
Sahar Abdelnabi, Ahmed Salem
Improving the Straight-Through Estimator with Zeroth-Order Information
Ningfeng Yang, Tor Aamodt
Leveraging Importance Sampling to Detach Alignment Modules from Large Language Models
Yi Liu, Dianqing Liu, Mingye Zhu et al.
Enhancing GUI Agent with Uncertainty-Aware Self-Trained Evaluator
Gongwei Chen, Lirong Jie, Lexiao Zou et al.
A Hyperdimensional One Place Signature to Represent Them All: Stackable Descriptors For Visual Place Recognition
Connor Malone, Somayeh Hussaini, Tobias Fischer et al.
Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning
Zhuang Qi, Yu Pan, Lei Meng et al.
Diversity Is All You Need for Contrastive Learning: Spectral Bounds on Gradient Magnitudes
Peter Ochieng
GLNCD: Graph-Level Novel Category Discovery
Bowen Deng, Lele Fu, Sheng Huang et al.
Learning to Learn with Contrastive Meta-Objective
Shiguang Wu, Yaqing Wang, Yatao Bian et al.
Soft-consensual Federated Learning for Data Heterogeneity via Multiple Paths
Sheng Huang, Lele Fu, Fanghua Ye et al.
Adaptive Preference Arithmetic: A Personalized Agent with Adaptive Preference Arithmetic for Dynamic Preference Modeling
Hongyi Nie, Yaqing Wang, Mingyang Zhou et al.
Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes
Tom Fischer, Xiaojie Zhang, Eddy Ilg
CymbaDiff: Structured Spatial Diffusion for Sketch-based 3D Semantic Urban Scene Generation
Li Liang, Bo Miao, Xinyu Wang et al.
Semi-supervised Graph Anomaly Detection via Robust Homophily Learning
GUOGUO AI, Hezhe Qiao, Hui Yan et al.
Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems
Saeed Amizadeh, Sara Abdali, Yinheng Li et al.
BADiff: Bandwidth Adaptive Diffusion Model
Xi Zhang, Hanwei Zhu, Yan Zhong et al.
Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty Reduction
Jin Hu, Jiakai Wang, linna Jing et al.
Towards Unified Multimodal Interleaved Generation via Group Relative Policy Optimization
Ming Nie, Chunwei Wang, Jianhua Han et al.
Addressing Mark Imbalance in Integration-free Marked Temporal Point Processes
Sishun Liu, KE DENG, Yongli Ren et al.
FEAT: Free energy Estimators with Adaptive Transport
Yuanqi Du, Jiajun He, Francisco Vargas et al.
Pin the Tail on the Model: Blindfolded Repair of User-Flagged Failures in Text-to-Image Services
Gefei Tan, Ali Shahin Shamsabadi, Ellen Kolesnikova et al.
Proactive Scene Decomposition and Reconstruction
Baicheng Li, Zike Yan, Dong Wu et al.
Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning
Haomiao Qiu, Miao Zhang, Ziyue Qiao et al.
ShowMak3r: Compositional TV Show Reconstruction
Sangmin Kim, Seunguk Do, Jaesik Park
Dynamic Diffusion Schrödinger Bridge in Astrophysical Observational Inversions
Ye Zhu, Duo Xu, Zhiwei Deng et al.
Learning Simple Interpolants for Linear Integer Arithmetic
Minchao Wu, Naoki Kobayashi
EAReranker: Efficient Embedding Adequacy Assessment for Retrieval Augmented Generation
Dongyang Zeng, Yaping Liu, Wei Zhang et al.
Understanding while Exploring: Semantics-driven Active Mapping
Liyan Chen, Huangying Zhan, Hairong Yin et al.
Bridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and Segmentation
Jianyang Qin, Chaoyang Li, Jinhao Cui et al.
PASD: A Pixel-Adaptive Swarm Dynamics Approach for Unsupervised Low-Light Image Enhancement
Shuai Jin, Yuhua Qian, Feijiang Li et al.
Revealing Multimodal Causality with Large Language Models
Jin Li, Shoujin Wang, Qi Zhang et al.
Bridging the Sky and Ground: Towards View-Invariant Feature Learning for Aerial-Ground Person Re-Identification
Wajahat Khalid, Bin Liu, Xulin Li et al.
Leveraging robust optimization for llm alignment under distribution shifts
Mingye Zhu, Yi Liu, Zheren Fu et al.
Relaxing partition admissibility in Cluster-DAGs: a causal calculus with arbitrary variable clustering
Clément Yvernes, Emilie Devijver, Adèle Ribeiro et al.
SPICED: A Synaptic Homeostasis-Inspired Framework for Unsupervised Continual EEG Decoding
Yangxuan Zhou, Sha Zhao, Jiquan Wang et al.
$\epsilon$-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data
Sheida Rahnamai Kordasiabi, Damian Nogare, Florian Jug
Second-order Optimization under Heavy-Tailed Noise: Hessian Clipping and Sample Complexity Limits
Abdurakhmon Sadiev, Peter Richtarik, Ilyas Fatkhullin
UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection
Yang Zhao, Kai Xiong, Xiao Ding et al.
Statistical Parity with Exponential Weights
Stephen Pasteris, Chris Hicks, Vasilios Mavroudis
Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
Simin Li, Zihao Mao, Hanxiao Li et al.
TAPNext: Tracking Any Point (TAP) as Next Token Prediction
Artem Zholus, Carl Doersch, Yi Yang et al.
SPARTAN: A Sparse Transformer World Model Attending to What Matters
Anson Lei, Bernhard Schölkopf, Ingmar Posner
3D Gaussian Flats: Hybrid 2D/3D Photometric Scene Reconstruction
Maria Taktasheva, Lily Goli, Alessandro Fiorini et al.
Robust Graph Condensation via Classification Complexity Mitigation
Jiayi Luo, Qingyun Sun, Beining Yang et al.
CogNav: Cognitive Process Modeling for Object Goal Navigation with LLMs
Yihan Cao, Jiazhao Zhang, Zhinan Yu et al.
Computational Hardness of Reinforcement Learning with Partial $q^{\pi}$-Realizability
Shayan Karimi, Xiaoqi Tan
Mixtures of Subspaces for Bandwidth Efficient Context Parallel Training
Sameera Ramasinghe, Thalaiyasingam Ajanthan, Hadi Mohaghegh Dolatabadi et al.
Rectifying Soft-Label Entangled Bias in Long-Tailed Dataset Distillation
Chenyang Jiang, Hang Zhao, Xinyu Zhang et al.
Sample-Efficient Tabular Self-Play for Offline Robust Reinforcement Learning
Na Li, Zewu Zheng, Wei Ni et al.
Dynamic Test-Time Compute Scaling in Control Policy: Difficulty-Aware Stochastic Interpolant Policy
Inkook Chun, Seungjae Lee, Michael Albergo et al.
Disco4D: Disentangled 4D Human Generation and Animation from a Single Image
Hui En Pang, Shuai Liu, Zhongang Cai et al.
World Models as Reference Trajectories for Rapid Motor Adaptation
Carlos Stein Brito, Daniel McNamee
Reasoning Is Not a Race: When Stopping Early Beats Going Deeper
Mohan Zhang, Jiaxuan Gao, Shusheng Xu et al.
Beyond Pairwise Connections: Extracting High-Order Functional Brain Network Structures under Global Constraints
Ling Zhan, Junjie Huang, Xiaoyao Yu et al.
UniGTE: Unified Graph–Text Encoding for Zero-Shot Generalization across Graph Tasks and Domains
Duo Wang, Yuan Zuo, Guangyue Lu et al.
Subspace Networks: Scaling Decentralized Training with Communication-Efficient Model Parallelism
Sameera Ramasinghe, Thalaiyasingam Ajanthan, Gil Avraham et al.
LoRA-EnVar: Parameter-Efficient Hybrid Ensemble Variational Assimilation for Weather Forecasting
Yi Xiao, Hang Fan, Kun Chen et al.
User-Instructed Disparity-aware Defocus Control
Yudong Han, Yan Yang, Hao Yang et al.
SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE Score
Mohammad Jalali, Haoyu Lei, Amin Gohari et al.
Combinative Matching for Geometric Shape Assembly
Nahyuk Lee, Juhong Min, Junhong Lee et al.
Delving into Cascaded Instability: A Lipschitz Continuity View on Image Restoration and Object Detection Synergy
Qing Zhao, Weijian Deng, Pengxu Wei et al.
LocalDyGS: Multi-view Global Dynamic Scene Modeling via Adaptive Local Implicit Feature Decoupling
Jiahao Wu, Rui Peng, Jianbo Jiao et al.
How Particle System Theory Enhances Hypergraph Message Passing
Yixuan Ma, Kai Yi, Pietro Lió et al.
Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs
Gerardo Flores, Alyssa H. Smith, Julia Fukuyama et al.
Dream-to-Recon: Monocular 3D Reconstruction with Diffusion-Depth Distillation from Single Images
Philipp Wulff, Felix Wimbauer, Dominik Muhle et al.
Implicit Modeling for Transferability Estimation of Vision Foundation Models
Yaoyan Zheng, Huiqun Wang, Nan Zhou et al.
GECO: Geometrically Consistent Embedding with Lightspeed Inference
Regine Hartwig, Dominik Muhle, Riccardo Marin et al.
SSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization
Junpyo Seo, HanbinKoo, jieun yook et al.
3D Convex Splatting: Radiance Field Rendering with 3D Smooth Convexes
Jan Held, Renaud Vandeghen, Abdullah J Hamdi et al.
ECO: Evolving Core Knowledge for Efficient Transfer
Fu Feng, Yucheng Xie, Ruixiao Shi et al.
Explainably Safe Reinforcement Learning
Sabine Rieder, Stefan Pranger, Debraj Chakraborty et al.
NUTS: Eddy-Robust Reconstruction of Surface Ocean Nutrients via Two-Scale Modeling
Hao Zheng, Shiyu Liang, Yuting Zheng et al.
Ranking-based Preference Optimization for Diffusion Models from Implicit User Feedback
Yi-Lun Wu, Bo-Kai Ruan, Chiang Tseng et al.
Residual Stream Analysis of Overfitting And Structural Disruptions
Quan Liu, Han Zhou, Wenquan Wu et al.
Scaling Mesh Generation via Compressive Tokenization
Haohan Weng, Zibo Zhao, Biwen Lei et al.
CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations
Guangyi Chen, Yunlong Deng, Peiyuan Zhu et al.
OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration
Yiming Zuo, Willow Yang, Zeyu Ma et al.
Towards Self-Refinement of Vision-Language Models with Triangular Consistency
Yunlong Deng, Guangyi Chen, Tianpei Gu et al.
Dual-Res Tandem Mamba-3D: Bilateral Breast Lesion Detection and Classification on Non-contrast Chest CT
Jiaheng Zhou, Wei Fang, Luyuan Xie et al.
GenHaze: Pioneering Controllable One-Step Realistic Haze Generation for Real-World Dehazing
Sixiang Chen, Tian Ye, Yunlong Lin et al.
ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection
Zhihao Sun, Haoran Jiang, Haoran Chen et al.
Heterogeneous Graph Transformers for Simultaneous Mobile Multi-Robot Task Allocation and Scheduling under Temporal Constraints
Batuhan Altundas, Shengkang Chen, Shivika Singh et al.
Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-design
Nianzu Yang, Songlin Jiang, Jian Ma et al.
ReCoT: Reflective Self-Correction Training for Mitigating Confirmation Bias in Large Vision-Language Models
Mengxue Qu, Yibo Hu, Kunyang Han et al.
Investigating Hallucinations of Time Series Foundation Models through Signal Subspace Analysis
Yufeng Zou, Zijian Wang, Diego Klabjan et al.
CHROME: Clothed Human Reconstruction with Occlusion-Resilience and Multiview-Consistency from a Single Image
Arindam Dutta, Meng Zheng, Zhongpai Gao et al.
Not all Views are Created Equal: Analyzing Viewpoint Instabilities in Vision Foundation Models
Mateusz Michalkiewicz, Xinyue Bai, Mahsa Baktashmotlagh et al.
Beyond the Destination: A Novel Benchmark for Exploration-Aware Embodied Question Answering
Kaixuan Jiang, Yang Liu, Weixing Chen et al.
Stop the Nonconsensual Use of Nude Images in Research
Princessa Cintaqia, Arshia Arya, Elissa Redmiles et al.
WonderPlay: Dynamic 3D Scene Generation from a Single Image and Actions
Zizhang Li, Hong-Xing Yu, Wei Liu et al.
BAM-ICL: Causal Hijacking In-Context Learning with Budgeted Adversarial Manipulation
Rui Chu, Bingyin Zhao, Hanling Jiang et al.
Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training
Brian Bartoldson, Siddarth Venkatraman, James Diffenderfer et al.
FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning
Woosung Kim, Jinho Lee, Jongmin Lee et al.
Struct2D: A Perception-Guided Framework for Spatial Reasoning in MLLMs
Fangrui Zhu, Hanhui Wang, Yiming Xie et al.
ReassembleNet: Learnable Keypoints and Diffusion for 2D Fresco Reconstruction
ADEELA ISLAM, Stefano Fiorini, Stuart James et al.
A Minimalistic Unified Framework for Incremental Learning across Image Restoration Tasks
Xiaoxuan Gong, Jie Ma
Efficient and Near-Optimal Algorithm for Contextual Dueling Bandits with Offline Regression Oracles
Aadirupa Saha, Robert Schapire
MixRI: Mixing Features of Reference Images for Novel Object Pose Estimation
Xinhang Liu, Jiawei Shi, Zheng Dang et al.
Consistency of the $k_n$-nearest neighbor rule under adaptive sampling
Robi Bhattacharjee, Geelon So, Sanjoy Dasgupta
On Hierarchies of Fairness Notions in Cake Cutting: From Proportionality to Super Envy-Freeness
Arnav Mehra, Alexandros Psomas
Self-Supervised Monocular 4D Scene Reconstruction for Egocentric Videos
Chengbo Yuan, Geng Chen, Li Yi et al.
On Learning Verifiers and Implications to Chain-of-Thought Reasoning
Maria-Florina Balcan, Avrim Blum, Zhiyuan Li et al.
RnGCam: High-speed video from rolling & global shutter measurements
Kevin Tandi, Xiang Dai, Chinmay Talegaonkar et al.
Under the Shadow: Exploiting Opacity Variation for Fine-grained Shadow Detection
Xiaotian Qiao, Ke Xu, Xianglong Yang et al.
Test-Time Retrieval-Augmented Adaptation for Vision-Language Models
Xinqi Fan, Xueli CHEN, Luoxiao Yang et al.
CHARM3R: Towards Unseen Camera Height Robust Monocular 3D Detector
Abhinav Kumar, Yuliang Guo, Zhihao Zhang et al.
Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations
Yujie Zhu, Charles Hepburn, Matthew Thorpe et al.
MaGS: Reconstructing and Simulating Dynamic 3D Objects with Mesh-adsorbed Gaussian Splatting
Shaojie Ma, Yawei Luo, Wei Yang et al.
PPMStereo: Pick-and-Play Memory Construction for Consistent Dynamic Stereo Matching
WANG Yun, Qiaole Dong, Yongjian Zhang et al.
Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning
Tianxing Wu, Shutong Zhu, Jingting Wang et al.
Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness
Mojtaba Kolahdouzi, Hatice Gunes, Ali Etemad
Towards Generalizable Detector for Generated Image
Qianshu Cai, Chao Wu, Yonggang Zhang et al.
Online Dense Point Tracking with Streaming Memory
Qiaole Dong, Yanwei Fu
Optimal Single-Policy Sample Complexity and Transient Coverage for Average-Reward Offline RL
Matthew Zurek, Guy Zamir, Yudong Chen
Learning to Zoom with Anatomical Relations for Medical Structure Detection
Bin Pu, Liwen Wang, Xingbo Dong et al.
Environment-Agnostic Pose: Generating Environment-independent Object Representations for 6D Pose Estimation
Shaobo Zhang, Yuhang Huang, Wanqing Zhao et al.
Private Hyperparameter Tuning with Ex-Post Guarantee
Badih Ghazi, Pritish Kamath, Alexander Knop et al.
Training the Untrainable: Introducing Inductive Bias via Representational Alignment
Vighnesh Subramaniam, David Mayo, Colin Conwell et al.
Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives
Qixin Zhang, Yan Sun, Can Jin et al.
Error Forcing in Recurrent Neural Networks
A Sağtekin, Colin Bredenberg, Cristina Savin
A Markov Decision Process for Variable Selection in Branch & Bound
Paul STRANG, Zacharie ALES, Côme Bissuel et al.
A Simple Linear Patch Revives Layer-Pruned Large Language Models
Xinrui Chen, Haoli Bai, Tao Yuan et al.
Neighbor-aware Contrastive Disambiguation for Cross-Modal Hashing with Redundant Annotations
Chao Su, Likang Peng, Yuan Sun et al.
Encouraging metric-aware diversity in contrastive representation space
Tianxu Li, Kun Zhu
Proper Hölder-Kullback Dirichlet Diffusion: A Framework for High Dimensional Generative Modeling
Wanpeng Zhang, Yuhao Fang, Xihang Qiu et al.
DREAM: Drafting with Refined Target Features and Entropy-Adaptive Cross-Attention Fusion for Multimodal Speculative Decoding
Yunhai Hu, Tianhua Xia, Zining Liu et al.
LD-RoViS: Training-free Robust Video Steganography for Deterministic Latent Diffusion Model
Xiangkun Wang, Kejiang Chen, Lincong Li et al.
AGO: Adaptive Grounding for Open World 3D Occupancy Prediction
Peizheng Li, Shuxiao Ding, You Zhou et al.
A Statistical Framework of Watermarks for Large Language Models: Pivot, Detection Efficiency and Optimal Rules
Xiang Li, Feng Ruan, Huiyuan Wang et al.
Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation
Yusuke Hirota, Ryo Hachiuma, Boyi Li et al.
Spatial Alignment and Temporal Matching Adapter for Video-Radar Remote Physiological Measurement
Qian Liang, Ruixu Geng, Jinbo Chen et al.
RULE: Reinforcement UnLEarning Achieves Forget-retain Pareto Optimality
Chenlong Zhang, Zhuoran Jin, Hongbang Yuan et al.
PS-Mamba: Spatial-Temporal Graph Mamba for Pose Sequence Refinement
Haoye Dong, Gim Hee Lee
IMPROVED LEARNING THEORY FOR KERNEL DISTRIBUTION REGRESSION WITH TWO-STAGE SAMPLING
Alberto González-Sanz, François Bachoc, Jean-Michel Loubes et al.
Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems
Michal Derezinski, Daniel LeJeune, Deanna Needell et al.
Stochastic-Constrained Stochastic Optimization with Markovian Data
Yeongjong Kim, Dabeen Lee
Event-guided Unified Framework for Low-light Video Enhancement, Frame Interpolation, and Deblurring
Taewoo Kim, Kuk-Jin Yoon
Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks
Fanghui Liu, Leello Tadesse Dadi, Volkan Cevher
Real-Time Hyper-Personalized Generative AI Should Be Regulated to Prevent the Rise of "Digital Heroin"
Raad Khraishi, Cristovao Iglesias de Oliveira, Devesh Batra et al.
Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track
Rylan Schaeffer, Joshua Kazdan, Yegor Denisov-Blanch et al.
Position: Biology is the Challenge Physics-Informed ML Needs to Evolve
Julien Martinelli
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models
Yuhao Dong, Zuyan Liu, Hai-Long Sun et al.
Position: If Innovation in AI systematically Violates Fundamental Rights, Is It Innovation at All?
Josu Eguíluz, Axel Brando, Migle Laukyte et al.
Position: Towards Bidirectional Human-AI Alignment
Hua Shen, Tiffany Knearem, Reshmi Ghosh et al.
Collective Bargaining in the Information Economy Can Address AI-Driven Power Concentration
Nicholas Vincent, Matt Prewitt, Hanlin Li
Beyond Pixel Uncertainty: Bounding the OoD Objects in Road Scenes
Huachao Zhu, Zelong Liu, Zhichao Sun 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.
Military AI Needs Technically-Informed Regulation to Safeguard AI Research and its Applications
Riley Simmons-Edler, Jean Dong, Paul Lushenko et al.
Prohibiting Generative AI in any Form of Weapon Control
Mary Cummings
The Right to Red-Team: Adversarial AI Literacy as a Civic Imperative in K-12 Education
Devan Walton, Haesol Bae
CryoFastAR: Fast Cryo-EM Ab initio Reconstruction Made Easy
Jiakai Zhang, Shouchen Zhou, Haizhao Dai et al.
PARALLELPROMPT: Extracting Parallelism from Large Language Model Queries
Steven Kolawole, Keshav Santhanam, Virginia Smith et al.
Uncertainty-Aware Gradient Stabilization for Small Object Detection
Huixin Sun, Yanjing Li, Linlin Yang et al.
DataSIR: A Benchmark Dataset for Sensitive Information Recognition
Fan Mo, Bo Liu, Yuan Fan et al.
Meta-World+: An Improved, Standardized, RL Benchmark
Reginald McLean, Evangelos Chatzaroulas, Luc McCutcheon et al.
Probing Hidden Knowledge Holes in Unlearned LLMs
Myeongseob Ko, Hoang Anh Just, Charles Fleming et al.
Reinforcement Learning with Backtracking Feedback
Bilgehan Sel, Vaishakh Keshava, Phillip Wallis et al.
Intend to Move: A Multimodal Dataset for Intention-Aware Human Motion Understanding
Ryo Umagami, Liu Yue, Xuangeng Chu et al.
DAVE: Diagnostic benchmark for Audio Visual Evaluation
Gorjan Radevski, Teodora Popordanoska, Matthew Blaschko et al.
OVERT: A Benchmark for Over-Refusal Evaluation on Text-to-Image Models
Ziheng Cheng, Yixiao Huang, Hui Xu et al.
Sheetpedia: A 300K-Spreadsheet Corpus for Spreadsheet Intelligence and LLM Fine-Tuning
Zailong Tian, Zhuoheng Han, Houfeng Wang et al.