Most Cited 2025 "exploration rate" Papers

GTR-Loc: Geospatial Text Regularization Assisted Outdoor LiDAR Localization

Shangshu Yu, Wen Li, Xiaotian Sun et al.

Continual Release Moment Estimation with Differential Privacy

Nikita Kalinin, Jalaj Upadhyay, Christoph Lampert

SparseMVC: Probing Cross-view Sparsity Variations for Multi-view Clustering

Ruimeng Liu, Xin Zou, Chang Tang et al.

EVPGS: Enhanced View Prior Guidance for Splatting-based Extrapolated View Synthesis

Jiahe Li, Feiyu Wang, Xiaochao Qu et al.

Optical-Flow Guided Prompt Optimization for Coherent Video Generation

Hyelin Nam, Jaemin Kim, Dohun Lee et al.

Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts

Feng Liang, Haoyu Ma, Zecheng He et al.

HybridNorm: Towards Stable and Efficient Transformer Training via Hybrid Normalization

Zhijian Zhuo, Yutao Zeng, Ya Wang et al.

FORLA: Federated Object-centric Representation Learning with Slot Attention

Guiqiu Liao, Matjaz Jogan, Eric Eaton et al.

Uncertainty-Informed Meta Pseudo Labeling for Surrogate Modeling with Limited Labeled Data

Xingyu Ren, Pengwei Liu, Pengkai Wang et al.

Detecting Open World Objects via Partial Attribute Assignment

Muli Yang, Gabriel James Goenawan, Huaiyuan Qin et al.

OpenMIBOOD: Open Medical Imaging Benchmarks for Out-Of-Distribution Detection

Max Gutbrod, David Rauber, Danilo Weber Nunes et al.

CTRL-O: Language-Controllable Object-Centric Visual Representation Learning

Aniket Rajiv Didolkar, Andrii Zadaianchuk, Rabiul Awal et al.

MMCSBench: A Fine-Grained Benchmark for Large Vision-Language Models in Camouflage Scenes

Jin Zhang, Ruiheng Zhang, Zhe Cao et al.

Subnet-Aware Dynamic Supernet Training for Neural Architecture Search

Jeimin Jeon, Youngmin Oh, Junghyup Lee et al.

DeltaFormer: Unlock the state space of Transformer

Mingyu Xu, Tenglong Ao, Jiaao He et al.

MARVEL-40M+: Multi-Level Visual Elaboration for High-Fidelity Text-to-3D Content Creation

Sankalp Sinha, Mohammad Sadil Khan, Muhammad Usama et al.

PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation

Qiyao Xue, Xiangyu Yin, Boyuan Yang et al.

Spiking Meets Attention: Efficient Remote Sensing Image Super-Resolution with Attention Spiking Neural Networks

Yi Xiao, Qiangqiang Yuan, Kui Jiang et al.

Towards Better Dental AI: A Multimodal Benchmark and Instruction Dataset for Panoramic X-ray Analysis

Jing Hao, Yuxuan Fan, Yanpeng Sun et al.

AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing

Niu Lian, Jun Li, Jinpeng Wang et al.

Entropy-Calibrated Label Distribution Learning

Yunan Lu, Bowen Xue, Xiuyi Jia et al.

Multimodal Disease Progression Modeling via Spatiotemporal Disentanglement and Multiscale Alignment

Chen Liu, Wenfang Yao, Kejing Yin et al.

The Rashomon Set Has It All: Analyzing Trustworthiness of Trees under Multiplicity

Ethan Hsu, Tony Cao, Lesia Semenova et al.

EmotiveTalk: Expressive Talking Head Generation through Audio Information Decoupling and Emotional Video Diffusion

Haotian Wang, Yuzhe Weng, Yueyan Li et al.

Unbiased Prototype Consistency Learning for Multi-Modal and Multi-Task Object Re-Identification

Zhongao Zhou, Bin Yang, Wenke Huang et al.

LPOSS: Label Propagation Over Patches and Pixels for Open-vocabulary Semantic Segmentation

Vladan Stojnić, Yannis Kalantidis, Jiri Matas et al.

MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM

Vladimir Yugay, Theo Gevers, Martin R. Oswald

AHa-Bench: Benchmarking Audio Hallucinations in Large Audio-Language Models

Xize Cheng, Dongjie Fu, Chenyuhao Wen et al.

Task-Specific Data Selection for Instruction Tuning via Monosemantic Neuronal Activations

Da Ma, Gonghu Shang, Zhi Chen et al.

Arbitrary-steps Image Super-resolution via Diffusion Inversion

Zongsheng Yue, Kang Liao, Chen Change Loy

MotionRAG: Motion Retrieval-Augmented Image-to-Video Generation

Chenhui Zhu, Yilu Wu, Shuai Wang et al.

Inductive Domain Transfer In Misspecified Simulation-Based Inference

Ortal Senouf, Antoine Wehenkel, Cédric Vincent-Cuaz et al.

AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning

Yuheng Xu, Shijie Yang, Xin Liu et al.

Leader360V: A Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment

WEIMING ZHANG, Dingwen Xiao, Aobotao DAI et al.

Improving Monte Carlo Tree Search for Symbolic Regression

Zhengyao Huang, Daniel Huang, Tiannan Xiao et al.

Fuse2Match: Training-Free Fusion of Flow, Diffusion, and Contrastive Models for Zero-Shot Semantic Matching

Jing Zuo, Jiaqi Wang, Yonggang Qi et al.

Prompt-Guided Alignment with Information Bottleneck Makes Image Compression Also a Restorer

Xuelin Shen, Quan Liu, Jiayin Xu et al.

Reinforcement Learning with Action Chunking

Qiyang Li, Zhiyuan (Paul) Zhou, Sergey Levine

Structure-Aware Cooperative Ensemble Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models

Jie Zhao, Kang Cheong

Crab: A Unified Audio-Visual Scene Understanding Model with Explicit Cooperation

Henghui Du, Guangyao Li, Chang Zhou et al.

Exploring Landscapes for Better Minima along Valleys

Tong Zhao, Jiacheng Li, Yuanchang Zhou et al.

EgoLife: Towards Egocentric Life Assistant

Jingkang Yang, Shuai Liu, Hongming Guo et al.

A Hierarchy of Graphical Models for Counterfactual Inferences

Hongshuo Yang, Elias Bareinboim

Counterfactual Image Editing with Disentangled Causal Latent Space

Yushu Pan, Elias Bareinboim

Sound Logical Explanations for Mean Aggregation Graph Neural Networks

Matthew Morris, Ian Horrocks

Confounding Robust Deep Reinforcement Learning: A Causal Approach

Mingxuan Li, Junzhe Zhang, Elias Bareinboim

Smooth Quadratic Prediction Markets

Enrique Nueve, Bo Waggoner

Oryx: a Scalable Sequence Model for Many-Agent Coordination in Offline MARL

Juan Formanek, Omayma Mahjoub, Louay Nessir et al.

Scalable Best-of-N Selection for Large Language Models via Self-Certainty

Zhewei Kang, Xuandong Zhao, Dawn Song

Convex Relaxation for Robust Vanishing Point Estimation in Manhattan World

Bangyan Liao, Zhenjun Zhao, Haoang Li et al.

StyleStudio: Text-Driven Style Transfer with Selective Control of Style Elements

Mingkun Lei, Xue Song, Beier Zhu et al.

Invisible Backdoor Attack against Self-supervised Learning

Hanrong Zhang, Zhenting Wang, Boheng Li et al.

SketchFusion: Learning Universal Sketch Features through Fusing Foundation Models

Subhadeep Koley, Tapas Kumar Dutta, Aneeshan Sain et al.

CamSAM2: Segment Anything Accurately in Camouflaged Videos

Yuli Zhou, Yawei Li, Yuqian Fu et al.

Spatially-aware Weights Tokenization for NeRF-Language Models

Andrea Amaduzzi, Pierluigi Zama Ramirez, Giuseppe Lisanti et al.

Siegel Neural Networks

Xuan Son Nguyen, Aymeric Histace, Nistor Grozavu

PMLF: A Physics-Guided Multiscale Loss Framework for Structurally Heterogeneous Time Series

Xinghong Chen, Weilin Wu, Kunping Yang et al.

Mind the Quote: Enabling Quotation-Aware Dialogue in LLMs via Plug-and-Play Modules

Yueqi Zhang, Peiwen Yuan, Yiwei Li et al.

CoMapGS: Covisibility Map-based Gaussian Splatting for Sparse Novel View Synthesis

Youngkyoon Jang, Eduardo Pérez-Pellitero

Contextual Tokenization for Graph Inverted Indices

Pritish Chakraborty, Indradyumna Roy, Soumen Chakrabarti et al.

Multi-Objective One-Shot Pruning for Large Language Models

Weiyu Chen, Hansi Yang, Yunhao Gou et al.

Interactive Medical Image Analysis with Concept-based Similarity Reasoning

Ta Duc Huy, Sen Kim Tran, Phan Nguyen et al.

SGAR: Structural Generative Augmentation for 3D Human Motion Retrieval

Jiahang Zhang, Lilang Lin, Shuai Yang et al.

ViSPLA: Visual Iterative Self-Prompting for Language-Guided 3D Affordance Learning

Hritam Basak, Zhaozheng Yin

Steepest Descent Density Control for Compact 3D Gaussian Splatting

Peihao Wang, Yuehao Wang, Dilin Wang et al.

InterMimic: Towards Universal Whole-Body Control for Physics-Based Human-Object Interactions

Sirui Xu, Hung Yu Ling, Yu-Xiong Wang et al.

Tabula: A Tabular Self-Supervised Foundation Model for Single-Cell Transcriptomics

Jiayuan Ding, Jianhui Lin, Shiyu Jiang et al.

Semi-off-Policy Reinforcement Learning for Vision-Language Slow-Thinking Reasoning

Junhao Shen, Haiteng Zhao, Yuzhe Gu et al.

EdgeMovingNet: Edge-preserving Point Cloud Reconstruction via Joint Geometry Features

Xinran Yang, Donghao Ji, Yuanqi Li et al.

MonoDGP: Monocular 3D Object Detection with Decoupled-Query and Geometry-Error Priors

Fanqi Pu, Yifan Wang, Jiru Deng et al.

Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining

Raghuveer Thirukovalluru, Rui Meng, Ye Liu et al.

Staggered Environment Resets Improve Massively Parallel On-Policy Reinforcement Learning

Sid Bharthulwar, Stone Tao, Hao Su

Depth-Supervised Fusion Network for Seamless-Free Image Stitching

Zhiying Jiang, Ruhao Yan, Zengxi Zhang et al.

ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness

Yijun Liang, Ming Li, Chenrui Fan et al.

Online Strategic Classification With Noise and Partial Feedback

Tianrun Zhao, Xiaojie Mao, Yong Liang

Imitation Learning with Temporal Logic Constraints

Zining Fan, He Zhu

Enhancing Facial Privacy Protection via Weakening Diffusion Purification

Ali Salar, Qing Liu, Yingli Tian et al.

PhysVLM: Enabling Visual Language Models to Understand Robotic Physical Reachability

Weijie Zhou, Manli Tao, Chaoyang Zhao et al.

Generative Distribution Embeddings

Nic Fishman, Gokul Gowri, Peng Yin et al.

Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space is All You Need

Kecheng Chen, Pingping Zhang, Hui Liu et al.

Improving Progressive Generation with Decomposable Flow Matching

Moayed Haji-Ali, Willi Menapace, Ivan Skorokhodov et al.

Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation

Long Tung Vuong, Hoang Phan, Vy Vo et al.

Controllable Human Image Generation with Personalized Multi-Garments

Yisol Choi, Sangkyung Kwak, Sihyun Yu et al.

Beyond Last-Click: An Optimal Mechanism for Ad Attribution

Nan An, Weian Li, Qi Qi et al.

Sampled Estimators For Softmax Must Be Biased

Li-Chung Lin, Yaxu Liu, Chih-Jen Lin

Reconstructing Animals and the Wild

Peter Kulits, Michael J. Black, Silvia Zuffi

Venus-MAXWELL: Efficient Learning of Protein-Mutation Stability Landscapes using Protein Language Models

Yuanxi Yu, Fan Jiang, Xinzhu Ma et al.

InteractVLM: 3D Interaction Reasoning from 2D Foundational Models

Sai Kumar Dwivedi, Dimitrije Antić, Shashank Tripathi et al.

Subgraph Federated Learning via Spectral Methods

Javad Aliakbari, Johan Oestman, Ashkan Panahi et al.

Sequential Monte Carlo for Policy Optimization in Continuous POMDPs

Hany Abdulsamad, Sahel Mohammad Iqbal, Simo Sarkka

Vector Quantization in the Brain: Grid-like Codes in World Models

Xiangyuan Peng, Xingsi Dong, Si Wu

Optimal Graph Clustering without Edge Density Signals

Maximilien Dreveton, Elaine Liu, Matthias Grossglauser et al.

PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors

Hilal Asi, Vitaly Feldman, Hannah Keller et al.

Eulerian Neural Network Informed by Chemical Transport for Air Quality Forecasting

Eluder dimension: localise it!

Alireza Bakhtiari, Alex Ayoub, Samuel Robertson et al.

Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach

Chen-Chen Zong, Sheng-Jun Huang

DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos

Wenbo Hu, Xiangjun Gao, Xiaoyu Li et al.

DC4GS: Directional Consistency-Driven Adaptive Density Control for 3D Gaussian Splatting

Moonsoo Jeong, Dongbeen Kim, Minseong Kim et al.

Rethinking Entropy in Test-Time Adaptation: The Missing Piece from Energy Duality

Mincheol Park, Heeji Won, Won Woo Ro et al.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation

Dekai Zhu, Yan Di, Stefan Gavranovic et al.

LIMOPro: Reasoning Refinement for Efficient and Effective Test-time Scaling

Yang Xiao, Jiashuo WANG, Ruifeng Yuan et al.

ActiveGAMER: Active GAussian Mapping through Efficient Rendering

Liyan Chen, Huangying Zhan, Kevin Chen et al.

PromptHash: Affinity-Prompted Collaborative Cross-Modal Learning for Adaptive Hashing Retrieval

Qiang Zou, Shuli Cheng, Jiayi Chen

CoLT: The conditional localization test for assessing the accuracy of neural posterior estimates

Tianyu Chen, Vansh Bansal, James Scott

Noisy Multi-Label Learning through Co-Occurrence-Aware Diffusion

Senyu Hou, Yuru Ren, Gaoxia Jiang et al.

Role-aware Multi-agent Reinforcement Learning for Coordinated Emergency Traffic Control

Ming Cheng, Hao Chen, Zhiqing Li et al.

Correcting misinterpretations of additive models

Benedict Clark, Rick Wilming, Hjalmar Schulz et al.

GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery

Enguang Wang, Zhimao Peng, Zhengyuan Xie et al.

Exploration-Driven Generative Interactive Environments

Nedko Savov, Naser Kazemi, Mohammad Mahdi et al.

DBLoss: Decomposition-based Loss Function for Time Series Forecasting

Xiangfei Qiu, Xingjian Wu, Hanyin Cheng et al.

BioCG: Constrained Generative Modeling for Biochemical Interaction Prediction

Amitay Sicherman, Kira Radinsky

FedEL: Federated Elastic Learning for Heterogeneous Devices

Letian Zhang, Bo Chen, Jieming Bian et al.

E2E-VGuard: Adversarial Prevention for Production LLM-based End-To-End Speech Synthesis

Zhisheng Zhang, Derui Wang, Yifan Mi et al.

Dynamic Shadow Unveils Invisible Semantics for Video Outpainting

Ruilin Li, Hang Yu, Jiayan Qiu

Extreme Rotation Estimation in the Wild

Hana Bezalel, Dotan Ankri, Ruojin Cai et al.

Simple and Optimal Sublinear Algorithms for Mean Estimation

Beatrice Bertolotti, Matteo Russo, Chris Schwiegelshohn et al.

An Efficient Orlicz-Sobolev Approach for Transporting Unbalanced Measures on a Graph

Tam Le, Truyen Nguyen, Hideitsu Hino et al.

Flash3D: Super-scaling Point Transformers through Joint Hardware-Geometry Locality

Liyan Chen, Gregory P. Meyer, Zaiwei Zhang et al.

ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks

Erik Wallin, Fredrik Kahl, Lars Hammarstrand

Motion Prompting: Controlling Video Generation with Motion Trajectories

Daniel Geng, Charles Herrmann, Junhwa Hur et al.

EditSplat: Multi-View Fusion and Attention-Guided Optimization for View-Consistent 3D Scene Editing with 3D Gaussian Splatting

Dong In Lee, Hyeongcheol Park, Jiyoung Seo et al.

Improved Algorithms for Fair Matroid Submodular Maximization

Sepideh Mahabadi, Sherry Sarkar, Jakub Tarnawski

Defining and Discovering Hyper-meta-paths for Heterogeneous Hypergraphs

Yaming Yang, Ziyu Zheng, Weigang Lu et al.

Many Minds, One Goal: Time Series Forecasting via Sub-task Specialization and Inter-agent Cooperation

Qihe Huang, Zhengyang Zhou, Yangze Li et al.

AdaCM^2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction

Yuanbin Man, Ying Huang, Chengming Zhang et al.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity

Hongjie Wang, Chih-Yao Ma, Yen-Cheng Liu et al.

Volumetrically Consistent 3D Gaussian Rasterization

Chinmay Talegaonkar, Yash Belhe, Ravi Ramamoorthi et al.

DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization

Yunseon Choi, Minchan Jeong, Soobin Um et al.

From Zero to Detail: Deconstructing Ultra-High-Definition Image Restoration from Progressive Spectral Perspective

Chen Zhao, Zhizhou Chen, Yunzhe Xu et al.

Finite-Time Bounds for Average-Reward Fitted Q-Iteration

Jongmin Lee, Ernest Ryu

Clustering via Hedonic Games: New Concepts and Algorithms

Gergely Csáji, Alexander Gundert, Jörg Rothe et al.

DevFD : Developmental Face Forgery Detection by Learning Shared and Orthogonal LoRA Subspaces

Tianshuo Zhang, Li Gao, Siran Peng et al.

Video Depth Anything: Consistent Depth Estimation for Super-Long Videos

Sili Chen, Hengkai Guo, Shengnan Zhu et al.

vHector and HeisenVec: Scalable Vector Graphics Generation Through Large Language Models

Leonardo Zini, Elia Frigieri, Sebastiano Aloscari et al.

FreeCloth: Free-form Generation Enhances Challenging Clothed Human Modeling

Hang Ye, Xiaoxuan Ma, Hai Ci et al.

Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion

Jona Ballé, Luca Versari, Emilien Dupont et al.

Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness

Stephen Pfohl, Natalie Harris, Chirag Nagpal et al.

Progressive Focused Transformer for Single Image Super-Resolution

Wei Long, Xingyu Zhou, Leheng Zhang et al.

DictPFL: Efficient and Private Federated Learning on Encrypted Gradients

Jiaqi Xue, Mayank Kumar, Yuzhang Shang et al.

The Boundaries of Fair AI in Medical Image Prognosis: A Causal Perspective

Thai-Hoang Pham, Jiayuan Chen, Seungyeon Lee et al.

KVQ: Boosting Video Quality Assessment via Saliency-guided Local Perception

Yunpeng Qu, Kun Yuan, Qizhi Xie et al.

Tight analyses of first-order methods with error feedback

Daniel Berg Thomsen, Adrien Taylor, Aymeric Dieuleveut

GOATex: Geometry & Occlusion-Aware Texturing

Hyunjin Kim, Kunho Kim, Adam Lee et al.

Multimodal LiDAR-Camera Novel View Synthesis with Unified Pose-free Neural Fields

Weiyi Xue, Fan Lu, Yunwei Zhu et al.

Multi-dataset Joint Pre-training of Emotional EEG Enables Generalizable Affective Computing

Qingzhu Zhang, Jiani Zhong, Zongsheng Li et al.

CPRet: A Dataset, Benchmark, and Model for Retrieval in Competitive Programming

Han Deng, Yuan Meng, SHIXIANG TANG et al.

PINN Balls: Scaling Second-Order Methods for PINNs with Domain Decomposition and Adaptive Sampling

Andrea Bonfanti, Ismael Medina, Roman List et al.

FuncGenFoil: Airfoil Generation and Editing Model in Function Space

Jinouwen Zhang, Junjie Ren, Ma Qianhong et al.

Efficient Personalization of Quantized Diffusion Model without Backpropagation

Hoigi Seo, Wongi Jeong, Kyungryeol Lee et al.

From Sparse Signal to Smooth Motion: Real-Time Motion Generation with Rolling Prediction Models

German Barquero, Nadine Bertsch, Manojkumar Marramreddy et al.

Scalable Video-to-Dataset Generation for Cross-Platform Mobile Agents

Yunseok Jang, Yeda Song, Sungryull Sohn et al.

Optimal Rates for Generalization of Gradient Descent for Deep ReLU Classification

Yuanfan Li, Yunwen Lei, Zheng-Chu Guo et al.

Each Complexity Deserves a Pruning Policy

Hanshi Wang, Yuhao Xu, Zekun Xu et al.

Aha! - Predicting What Matters Next: Online Highlight Detection Without Looking Ahead

Aiden Chang, Celso de Melo, Stephanie Lukin

RGB-Only Supervised Camera Parameter Optimization in Dynamic Scenes

Fang Li, Hao Zhang, Narendra Ahuja

Table2LaTeX-RL: High-Fidelity LaTeX Code Generation from Table Images via Reinforced Multimodal Language Models

Jun Ling, Yao Qi, Tao Huang et al.

Which Algorithms Have Tight Generalization Bounds?

Michael Gastpar, Ido Nachum, Jonathan Shafer et al.

Ultra-high Resolution Watermarking Framework Resistant to Extreme Cropping and Scaling

Nan Sun, LuYu Yuan, Han Fang et al.

Enhancing Consistency of Flow-Based Image Editing through Kalman Control

Haozhe Chi, Zhicheng Sun, Yang Jin et al.

Variance-Reduced Long-Term Rehearsal Learning with Quadratic Programming Reformulation

Wen-Bo Du, Tian Qin, Tian-Zuo Wang et al.

Bridging the Vision-Brain Gap with an Uncertainty-Aware Blur Prior

Haitao Wu, Qing Li, Changqing Zhang et al.

Multi-View Oriented GPLVM: Expressiveness and Efficiency

Zi Yang, Ying Li, Zhidi Lin et al.

Free Lunch Enhancements for Multi-modal Crowd Counting

Haoliang Meng, Xiaopeng Hong, Zhengqin Lai et al.

DATE-LM: Benchmarking Data Attribution Evaluation for Large Language Models

Cathy Jiao, Yijun Pan, Emily Xiao et al.

Learning Interestingness in Automated Mathematical Theory Formation

George Tsoukalas, Rahul Saha, Amitayush Thakur et al.

Unfolding the Black Box of Recurrent Neural Networks for Path Integration

Tianhao Chu, Yuling Wu, Neil Burgess et al.

Marten: Visual Question Answering with Mask Generation for Multi-modal Document Understanding

Zining Wang, Tongkun Guan, Pei Fu et al.

PUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian Splatting

Alex Hanson, Allen Tu, Vasu Singla et al.

Directed-Tokens: A Robust Multi-Modality Alignment Approach to Large Language-Vision Models

Thanh-Dat Truong, Huu-Thien Tran, Tran Son et al.

Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment

Soumya Suvra Ghosal, Souradip Chakraborty, Vaibhav Singh et al.

Prior Forgetting and In-Context Overfitting

Sungyoon Lee

OOD-Barrier: Build a Middle-Barrier for Open-Set Single-Image Test Time Adaptation via Vision Language Models

Boyang Peng, Sanqing Qu, Tianpei Zou et al.

SEGA: Shaping Semantic Geometry for Robust Hashing under Noisy Supervision

Yiyang Gu, Bohan Wu, Qinghua Ran et al.

PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Models

Chenyu Yang, Xuan Dong, Xizhou Zhu et al.

From Replication to Redesign: Exploring Pairwise Comparisons for LLM-Based Peer Review

Yaohui Zhang, Haijing ZHANG, Wenlong Ji et al.

Homogeneous Keys, Heterogeneous Values: Exploiting Local KV Cache Asymmetry for Long-Context LLMs

Wanyun Cui, Mingwei Xu

MultiMorph: On-demand Atlas Construction

Mazdak Abulnaga, Andrew Hoopes, Neel Dey et al.

Any3DIS: Class-Agnostic 3D Instance Segmentation by 2D Mask Tracking

Phuc Nguyen, Minh Luu, Anh Tran et al.

Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning

Remco Leijenaar, Hamidreza Kasaei

DarkIR: Robust Low-Light Image Restoration

Daniel Feijoo, Juan C. Benito, Alvaro Garcia et al.

ImagineFSL: Self-Supervised Pretraining Matters on Imagined Base Set for VLM-based Few-shot Learning

Haoyuan Yang, Xiaoou Li, Jiaming Lv et al.

Localist Topographic Expert Routing: A Barrel Cortex-Inspired Modular Network for Sensorimotor Processing

Tianfang Zhu, Dongli Hu, Jiandong Zhou et al.

Stackelberg Learning with Outcome-based Payment

Tom Yan, Chicheng Zhang

Controlled Visual Hallucination via Thalamus-Driven Decoupling Network for Domain Adaptation of Black-Box Predictors

Yuwu Lu, Chunzhi Liu

Counteractive RL: Rethinking Core Principles for Efficient and Scalable Deep Reinforcement Learning

Ezgi Korkmaz

TokenHSI: Unified Synthesis of Physical Human-Scene Interactions through Task Tokenization

Liang Pan, Zeshi Yang, Zhiyang Dou et al.

DepthSplat: Connecting Gaussian Splatting and Depth

Haofei Xu, Songyou Peng, Fangjinhua Wang et al.

Effects of Dropout on Performance in Long-range Graph Learning Tasks

Jasraj Singh, Keyue Jiang, Brooks Paige et al.

Multitwine: Multi-Object Compositing with Text and Layout Control

Gemma Canet Tarrés, Zhe Lin, Zhifei Zhang et al.

RelationField: Relate Anything in Radiance Fields

Sebastian Koch, Johanna Wald, Mirco Colosi et al.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching

Liang Yue, Yihong Tang, Kehai Chen et al.

SafePTR: Token-Level Jailbreak Defense in Multimodal LLMs via Prune-then-Restore Mechanism

Beitao Chen, Xinyu Lyu, shengming yuan et al.

Consistent Normal Orientation for 3D Point Clouds via Least Squares on Delaunay Graph

Rao Fu, Jianmin Zheng, Liang Yu

Recover and Match: Open-Vocabulary Multi-Label Recognition through Knowledge-Constrained Optimal Transport

Hao Tan, Zichang Tan, Jun Li et al.

DeCaFlow: A deconfounding causal generative model

Alejandro Almodóvar, Adrián Javaloy, Juan Parras et al.

BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology

Amaya Gallagher-Syed, Henry Senior, Omnia Alwazzan et al.

Disentangled Representation Learning via Modular Compositional Bias

whie jung, Dong Hoon Lee, Seunghoon Hong

The Price of Opportunity Fairness in Matroid Allocation Problems

Rémi Castera, Felipe Garrido-Lucero, Patrick Loiseau et al.

Geometric Algebra-Enhanced Bayesian Flow Network for RNA Inverse Design

Rubo Wang, Xingyu Gao, Peilin Zhao

DFormerv2: Geometry Self-Attention for RGBD Semantic Segmentation

Bo-Wen Yin, Jiao-Long Cao, Ming-Ming Cheng et al.