Most Cited 2025 "step-by-step reasoning" Papers
22,274 papers found • Page 88 of 112
Conference
Tree of Preferences for Diversified Recommendation
Hanyang Yuan, Ning Tang, Tongya Zheng et al.
Asymmetric Dual-Lens Video Deblurring
Zeyu Xiao, Xinchao Wang
Zero-Shot Blind-Spot Image Denoising via Cross-Scale Non-Local Pixel Refilling
Qilong Guo, Tianjing Zhang, Zhiyuan Ma et al.
BaRISTA: Brain Scale Informed Spatiotemporal Representation of Human Intracranial Neural Activity
Lucine L Oganesian, Saba Hashemi, Maryam Shanechi
Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning
Ankan Deria, Adinath Dukre, feilong tang et al.
QuanDA: Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification
Qian Tang, Yuwen Gu, Boxiang Wang
Advancing Interpretability of CLIP Representations with Concept Surrogate Model
Nhat Hoang-Xuan, Xiyuan Wei, Wanli Xing et al.
Partial Correlation Network Estimation by Semismooth Newton Methods
DongWon Kim, Sungdong Lee, Joong-Ho (Johann) Won
Are Pixel-Wise Metrics Reliable for Computerized Tomography Reconstruction?
Tianyu Lin, Xinran Li, Chuntung Zhuang et al.
An Ellipsoid Algorithm for Online Convex Optimization
Zakaria Mhammedi
NormFit: A Lightweight Solution for Few-Shot Federated Learning with Non-IID Data
Azadeh Motamedi, Jae-Mo Kang, Il-Min Kim
ProjAttacker: A Configurable Physical Adversarial Attack for Face Recognition via Projector
Yuanwei Liu, Hui Wei, Chengyu Jia et al.
Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion Segmentation
Lexin Fang, Yunyang Xu, Xiang Ma et al.
Towards Robust Uncertainty Calibration for Composed Image Retrieval
Yifan Wang, Wuliang Huang, Yufan Wen et al.
Learning Personalized Ad Impact via Contextual Reinforcement Learning under Delayed Rewards
Yuwei Cheng, Zifeng Zhao, Haifeng Xu
OSKAR: Omnimodal Self-supervised Knowledge Abstraction and Representation
Mohamed Abdelfattah, Kaouther Messaoud, Alexandre Alahi
HQA-VLAttack: Towards High Quality Adversarial Attack on Vision-Language Pre-Trained Models
Han Liu, Jiaqi Li, Zhi Xu et al.
AVQACL: A Novel Benchmark for Audio-Visual Question Answering Continual Learning
Kaixuan Wu, Xinde Li, Xinglin Li et al.
RobIA: Robust Instance-aware Continual Test-time Adaptation for Deep Stereo
Jueun Ko, Hyewon Park, Hyesong Choi et al.
Parameter-free Algorithms for the Stochastically Extended Adversarial Model
Shuche Wang, Adarsh Barik, Peng Zhao et al.
Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections
Berken Utku Demirel, Christian Holz
Scalable Exploration via Ensemble++
Yingru Li, Jiawei Xu, Baoxiang Wang et al.
Consistent Supervised-Unsupervised Alignment for Generalized Category Discovery
Jizhou Han, Shaokun Wang, Yuhang He et al.
STree: Speculative Tree Decoding for Hybrid State Space Models
Yangchao Wu, Zongyue Qin, Alex Wong et al.
Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models
Benjamin Dupuis, Dario Shariatian, Maxime Haddouche et al.
Investigating the Role of Weight Decay in Enhancing Nonconvex SGD
Tao Sun, Yuhao Huang, Li Shen et al.
V-CECE: Visual Counterfactual Explanations via Conceptual Edits
Nikolaos Spanos, Maria Lymperaiou, Giorgos Filandrianos et al.
Learning from Demonstrations via Capability-Aware Goal Sampling
Yuanlin Duan, Yuning Wang, Wenjie Qiu et al.
MI-TRQR: Mutual Information-Based Temporal Redundancy Quantification and Reduction for Energy-Efficient Spiking Neural Networks
Dengfeng Xue, Wenjuan Li, Yifan Lu et al.
Approximate Domain Unlearning for Vision-Language Models
Kodai Kawamura, Yuta Goto, Rintaro Yanagi et al.
The Good, the Bad and the Ugly: Meta-Analysis of Watermarks, Transferable Attacks and Adversarial Defenses
Greg Gluch, Berkant Turan, Sai Ganesh Nagarajan et al.
VR-Drive: Viewpoint-Robust End-to-End Driving with Feed-Forward 3D Gaussian Splatting
Hoonhee Cho, Jae-Young Kang, Giwon Lee et al.
Embodied Crowd Counting
Runling Long, Yunlong Wang, Jia Wan et al.
URLs Help, Topics Guide: Understanding Metadata Utility in LLM Training
Dongyang Fan, Vinko Sabolčec, Martin Jaggi
Latency NMS Attacks: Is It Real Life or Is It Just Fantasy?
Jean-Philippe Monteuuis, Cong Chen, Jonathan Petit
CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections
Thomas Walker, Salvatore Esposito, Daniel Rebain et al.
PID-controlled Langevin Dynamics for Faster Sampling on Generative Models
Hongyi Chen, Jianhai Shu, Jingtao Ding et al.
IOSTOM: Offline Imitation Learning from Observations via State Transition Occupancy Matching
Quang Anh Pham, Janaka Brahmanage, Tien Mai et al.
Training-Free Test-Time Adaptation via Shape and Style Guidance for Vision-Language Models
Shenglong Zhou, Manjiang Yin, Leiyu Sun et al.
Towards Single-Source Domain Generalized Object Detection via Causal Visual Prompts
Chen Li, Huiying Xu, Changxin Gao et al.
Fair Continuous Resource Allocation with Equality of Impact
Blossom Metevier, Dennis Wei, Karthikeyan Natesan Ramamurthy et al.
ALIEN: Implicit Neural Representations for Human Motion Prediction under Arbitrary Latency
Dong Wei, Xiaoning Sun, Xizhan Gao et al.
HubGT: Fast Graph Transformer with Decoupled Hierarchy Labeling
Ningyi Liao, Zihao Yu, Siqiang Luo et al.
Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment
Kaixun Jiang, Zhaoyu Chen, HaiJing Guo et al.
Single-Step Operator Learning for Conditioned Time-Series Diffusion Models
Hui Chen, Vikas Singh
SPOT: Scalable Policy Optimization with Trees for Markov Decision Processes
Xuyuan Xiong, Pedro Chumpitaz-Flores, Kaixun Hua et al.
DualFocus: Depth from Focus with Spatio-Focal Dual Variational Constraints
Sungmin Woo, Sangyoun Lee
GIF: Generative Inspiration for Face Recognition at Scale
Mohammad Saadabadi Saadabadi, Sahar Rahimi Malakshan, Ali Dabouei et al.
Time Reversal Symmetry for Efficient Robotic Manipulations in Deep Reinforcement Learning
Yunpeng Jiang, Jianshu Hu, Paul Weng et al.
Actor-Free Continuous Control via Structurally Maximizable Q-Functions
Yigit Korkmaz, Urvi Bhuwania, Ayush Jain et al.
Adaptive Data-Borrowing for Improving Treatment Effect Estimation using External Controls
Qinwei Yang, Jingyi Li, Peng Wu
CoT Information: Improved Sample Complexity under Chain-of-Thought Supervision
Awni Altabaa, Omar Montasser, John Lafferty
EventMG: Efficient Multilevel Mamba-Graph Learning for Spatiotemporal Event Representation
Sheng Wu, Lin Jin, Hui Feng et al.
Viewpoint Rosetta Stone: Unlocking Unpaired Ego-Exo Videos for View-invariant Representation Learning
Mi Luo, Zihui Xue, Alex Dimakis et al.
AdMiT: Adaptive Multi-Source Tuning in Dynamic Environments
Xiangyu Chang, Fahim Faisal Niloy, Sk Miraj Ahmed et al.
ARECHO: Autoregressive Evaluation via Chain-Based Hypothesis Optimization for Speech Multi-Metric Estimation
Jiatong Shi, Yifan Cheng, Bo-Hao Su et al.
Jacobian-Based Interpretation of Nonlinear Neural Encoding Model
Xiaohui Gao, Haoran Yang, cheng yue et al.
Hierarchical Information Aggregation for Incomplete Multimodal Alzheimer's Disease Diagnosis
Chengliang Liu, Que Yuanxi, Qihao Xu et al.
StruDiCO: Structured Denoising Diffusion with Gradient-free Inference-stage Boosting for Memory and Time Efficient Combinatorial Optimization
Yu Wang, Yang Li, Junchi Yan et al.
Fortifying Federated Learning Towards Trustworthiness via Auditable Data Valuation and Verifiable Client Contribution
Naveen Kumar Kummari, Ranjeet Ranjan Jha, Krishna Mohan Chalavadi et al.
Improving Task-Specific Multimodal Sentiment Analysis with General MLLMs via Prompting
Haoyu Zhang, Yinan Zhang, Chaolong Ying et al.
MIND: Material Interface Generation from UDFs for Non-Manifold Surface Reconstruction
Xuhui Chen, Fei Hou, Wencheng Wang et al.
DIV-FF: Dynamic Image-Video Feature Fields For Environment Understanding in Egocentric Videos
Lorenzo Mur-Labadia, Jose J. Guerrero, Ruben Martinez-Cantin
SAMPO: Scale-wise Autoregression with Motion Prompt for Generative World Models
Sen Wang, Jingyi Tian, Le Wang et al.
Implicit Generative Property Enhancer
Pedro O. Pinheiro, Pan Kessel, Aya Ismail et al.
Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies
Jing Wang, Weiting Peng, Jing Tang et al.
3D-GSRD: 3D Molecular Graph Auto-Encoder with Selective Re-mask Decoding
Chang Wu, ZHIYUAN LIU, Wen Shu et al.
Handling Missing Responses under Cluster Dependence with Applications to Language Model Evaluation
Zhenghao Zeng, David Arbour, Avi Feller et al.
Hadamard Test is Sufficient for Efficient Quantum Gradient Estimation with Lie Algebraic Symmetries
Mohsen Heidari, Masih Mozakka, Wojciech Szpankowski
AnyMap: Learning a General Camera Model for Structure-from-Motion with Unknown Distortion in Dynamic Scenes
Andrea Porfiri Dal Cin, Georgi Dikov, Jihong Ju et al.
From Information to Generative Exponent: Learning Rate Induces Phase Transitions in SGD
Konstantinos Tsiolis, Alireza Mousavi-Hosseini, Murat Erdogdu
UniMotion: A Unified Motion Framework for Simulation, Prediction and Planning
Nan Song, Junzhe Jiang, jingyu li et al.
Counterfactual Implicit Feedback Modeling
Chuan Zhou, Lina Yao, Haoxuan Li et al.
Epistemic Uncertainty Estimation in Regression Ensemble Models with Pairwise Epistemic Estimators
Lucas Berry, David Meger
Dynamic Focused Masking for Autoregressive Embodied Occupancy Prediction
Yuan Sun, Julio Contreras, Jorge Ortiz
WarpGAN: Warping-Guided 3D GAN Inversion with Style-Based Novel View Inpainting
Kaitao Huang, Yan Yan, Jing-Hao Xue et al.
KOALA++: Efficient Kalman-Based Optimization with Gradient-Covariance Products
Zixuan XIa, Aram Davtyan, Paolo Favaro
FASTer: Focal token Acquiring-and-Scaling Transformer for Long-term 3D Objection Detection
Chenxu Dang, Pei An, Xinmin Zhang et al.
Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models
Wen-Tse Chen, Jiayu Chen, Fahim Tajwar et al.
Object Concepts Emerge from Motion
Haoqian Liang, Xiaohui Wang, Zhichao Li et al.
ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge
Cuong Dao, The Hung Tran, Phi Le Nguyen et al.
Alleviating Hallucinations in Large Language Models through Multi-Model Contrastive Decoding and Dynamic Hallucination Detection
Chenyu Zhu, Yefeng Liu, Hao Zhang et al.
Seg-VAR:Image Segmentation with Visual Autoregressive Modeling
Rongkun Zheng, Lu Qi, Xi Chen et al.
Theoretical Investigation of Adafactor for Non-Convex Smooth Optimization
Yusu Hong, Junhong Lin
PyraMotion: Attentional Pyramid-Structured Motion Integration for Co-Speech 3D Gesture Synthesis
Zhizhuo Yin, Yuk Hang Tsui, Pan Hui
Length Generalization via Auxiliary Tasks
Pranjal Awasthi, Anupam Gupta, Ravi Kumar
Consistent Normal Orientation for 3D Point Clouds via Least Squares on Delaunay Graph
Rao Fu, Jianmin Zheng, Liang Yu
Building 3D Representations and Generating Motions From a Single Image via Video-Generation
Weiming Zhi, Ziyong Ma, Tianyi Zhang et al.
Seeing Speech and Sound: Distinguishing and Locating Audio Sources in Visual Scenes
Hyeonggon Ryu, Seongyu Kim, Joon Chung et al.
How Classifier Features Transfer to Downstream: An Asymptotic Analysis in a Two-Layer Model
HEE BIN YOO, Sungyoon Lee, Cheongjae Jang et al.
Learning Preferences without Interaction for Cooperative AI: A Hybrid Offline-Online Approach
Haitong Ma, Haoran Yu, Haobo Fu et al.
BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology
Amaya Gallagher-Syed, Henry Senior, Omnia Alwazzan et al.
ChatbotID: Identifying Chatbots with Granger Causality Test
Xiaoquan Yi, Haozhao Wang, Yining Qi et al.
Rising from Ashes: Generalized Federated Learning via Dynamic Parameter Reset
Jiahao Wu, Ming Hu, Yanxin Yang et al.
Automated Detection of Visual Attribute Reliance with a Self-Reflective Agent
Christy Li, Josep Lopez Camuñas, Jake Touchet et al.
Rectifying Shortcut Behaviors in Preference-based Reward Learning
Wenqian Ye, Guangtao Zheng, Aidong Zhang
Approximate Gradient Coding for Distributed Learning with Heterogeneous Stragglers
Heekang Song, Wan Choi
Improving planning and MBRL with temporally-extended actions
Palash Chatterjee, Roni Khardon
Joint Design of Protein Surface and Backbone Using a Diffusion Bridge Model
Guanlue Li, Xufeng Zhao, Fang Wu et al.
Once-Tuning-Multiple-Variants: Tuning Once and Expanded as Multiple Vision-Language Model Variants
Chong Yu, Tao Chen, Zhongxue Gan
ProDAG: Projected Variational Inference for Directed Acyclic Graphs
Ryan Thompson, Edwin Bonilla, Robert Kohn
Seeing is Not Believing: Adversarial Natural Object Optimization for Hard-Label 3D Scene Attacks
Daizong Liu, Wei Hu
MemEIC: A Step Toward Continual and Compositional Knowledge Editing
Jin Seong, Jiyun Park, Wencke Liermann et al.
HomoGen: Enhanced Video Inpainting via Homography Propagation and Diffusion
Ding Ding, Yueming Pan, Ruoyu Feng et al.
Coloring Learning for Heterophilic Graph Representation
Miaomiao Huang, Yuhai Zhao, Daniel Zhengkui Wang et al.
FedLPA: Local Prior Alignment for Heterogeneous Federated Generalized Category Discovery
Geeho Kim, Jinu Lee, Bohyung Han
Practical Kernel Selection for Kernel-based Conditional Independence Test
Wenjie Wang, Mingming Gong, Biwei Huang et al.
Less is More: Improving LLM Alignment via Preference Data Selection
Xun Deng, Han Zhong, Rui Ai et al.
Alias-Free ViT: Fractional Shift Invariance via Linear Attention
Hagay Michaeli, Daniel Soudry
Learning-Augmented Streaming Algorithms for Correlation Clustering
Yinhao Dong, Shan Jiang, Shi Li et al.
Spectral Conditioning of Attention Improves Transformer Performance
Hemanth Saratchandran, Simon Lucey
TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting
Jaebin Lee, Hankook Lee
Structured Sparse Transition Matrices to Enable State Tracking in State-Space Models
Aleksandar Terzic, Nicolas Menet, Michael Hersche et al.
Generalizable Insights for Graph Transformers in Theory and Practice
Timo Stoll, Luis Müller, Christopher Morris
Holistic Order Prediction in Natural Scenes
Pierre Musacchio, Hyunmin Lee, Jaesik Park
Efficient Depth Estimation for Unstable Stereo Camera Systems on AR Glasses
Yongfan Liu, Hyoukjun Kwon
FlexAC: Towards Flexible Control of Associative Reasoning in Multimodal Large Language Models
shengming yuan, Xinyu Lyu, Shuailong Wang et al.
Functional Complexity-adaptive Temporal Tensor Decomposition
Panqi Chen, Lei Cheng, Jianlong Li et al.
SIFusion: A Unified Fusion Framework for Multi-granularity Arctic Sea Ice Forecasting
Jingyi Xu, Shengnan Wang, Weidong Yang et al.
GeoRemover: Removing Objects and Their Causal Visual Artifacts
Zixin Zhu, Haoxiang Li, Xuelu Feng et al.
A Latent Multilayer Graphical Model For Complex, Interdependent Systems
Martin Ondrus, Ivor Cribben, Yang Feng
Analogy-based Multi-Turn Jailbreak against Large Language Models
Mengjie Wu, Yihao Huang, Zhenjun Lin et al.
Learned Binocular-Encoding Optics for RGBD Imaging Using Joint Stereo and Focus Cues
Yuhui Liu, Liangxun Ou, Qiang Fu et al.
Structure-Aware Spectral Sparsification via Uniform Edge Sampling
Kaiwen He, Petros Drineas, Rajiv Khanna
Omnidirectional 3D Scene Reconstruction from Single Image
Ren Yang, Jiahao Li, Yan Lu
Randomized-MLP Regularization Improves Domain Adaptation and Interpretability in DINOv2
Joel Valdivia Ortega, Lorenz Lamm, Franziska Eckardt et al.
Text-to-Code Generation for Modular Building Layouts in Building Information Modeling
YINYI WEI, Xiao LI
Curl Descent : Non-Gradient Learning Dynamics with Sign-Diverse Plasticity
Hugo Ninou, Jonathan Kadmon, N Alex Cayco Gajic
Query Efficient Black-Box Visual Prompting with Subspace Learning
Haozhen Zhang, Zhaogeng Liu, Hualin Zhang et al.
Low-Rank Graphon Learning for Networks
Xinyuan Fan, Feiyan Ma, Chenlei Leng et al.
Fingerprinting Denoising Diffusion Probabilistic Models
Huan Teng, Yuhui Quan, Chengyu Wang et al.
Infrequent Exploration in Linear Bandits
Harin Lee, Min-hwan Oh
An Iterative Algorithm for Differentially Private $k$-PCA with Adaptive Noise
Johanna Düngler, Amartya Sanyal
Multidimensional Bayesian Utility Maximization: Tight Approximations to Welfare
Kira Goldner, Taylor Lundy
On Optimal Steering to Achieve Exact Fairness
mohit sharma, Amit Deshpande, Chiranjib Bhattacharyya et al.
AdaDARE-gamma: Balancing Stability and Plasticity in Multi-modal LLMs through Efficient Adaptation
Jingyi Xie, Jintao Yang, Zhunchen Luo et al.
MOSDT: Self-Distillation-Based Decision Transformer for Multi-Agent Offline Safe Reinforcement Learning
Yuchen Xia, Yunjian Xu
Word-Level Emotional Expression Control in Zero-Shot Text-to-Speech Synthesis
Tianrui Wang, Haoyu Wang, Meng Ge et al.
Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency
Van-Anh Nguyen, Trung Le, Mehrtash Harandi et al.
SkySense-O: Towards Open-World Remote Sensing Interpretation with Vision-Centric Visual-Language Modeling
Qi Zhu, Jiangwei Lao, Deyi Ji et al.
SpikingVTG: A Spiking Detection Transformer for Video Temporal Grounding
Malyaban Bal, Brian Matejek, Susmit Jha et al.
Fuz-RL: A Fuzzy-Guided Robust Framework for Safe Reinforcement Learning under Uncertainty
Xu Wan, Chao Yang, Cheng Yang et al.
RAPID Hand: Robust, Affordable, Perception-Integrated, Dexterous Manipulation Platfrom for Embodied Intelligence
Zhaoliang Wan, Zetong Bi, Zida Zhou et al.
Descriptor-In-Pixel : Point-Feature Tracking For Pixel Processor Arrays
Laurie Bose, Piotr Dudek, Jianing Chen
iG-6DoF: Model-free 6DoF Pose Estimation for Unseen Object via Iterative 3D Gaussian Splatting
Tuo Cao, Fei LUO, Jiongming Qin et al.
Certifying Deep Network Risks and Individual Predictions with PAC-Bayes Loss via Localized Priors
Wen Dong
Dependency Parsing is More Parameter-Efficient with Normalization
Paolo Gajo, Domenic Rosati, Hassan Sajjad et al.
From Pixels to Views: Learning Angular-Aware and Physics-Consistent Representations for Light Field Microscopy
Feng He, Guodong Tan, Qiankun Li et al.
Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference
Zichen Wang, Haoyang Hong, Chuanhao Li et al.
Generating Creative Chess Puzzles
Xidong Feng, Vivek Veeriah, Marcus Chiam et al.
How Patterns Dictate Learnability in Sequential Data
Mario Morawski, Anaïs Després, Remi Rehm
MiCo: Multi-image Contrast for Reinforcement Visual Reasoning
Xi Chen, Mingkang Zhu, Shaoteng Liu et al.
In-context Learning of Linear Dynamical Systems with Transformers: Approximation Bounds and Depth-separation
Frank Cole, Yuxuan Zhao, Yulong Lu et al.
TransMLA: Migrating GQA Models to MLA with Full DeepSeek Compatibility and Speedup
Fanxu Meng, Pingzhi Tang, Zengwei Yao et al.
Tackling Biased Evaluators in Dueling Bandits
Ming Tang, Yuxuan Zhou, Chao Huang
Is Grokking a Computational Glass Relaxation?
Xiaotian Zhang, Yue Shang, Entao Yang et al.
PUATE: Efficient ATE Estimation from Treated (Positive) and Unlabeled Units
Masahiro Kato, Fumiaki Kozai, RYO INOKUCHI
DKDR: Dynamic Knowledge Distillation for Reliability in Federated Learning
Yueyang Yuan, Wenke Huang, Guancheng Wan et al.
CPO: Condition Preference Optimization for Controllable Image Generation
Zonglin Lyu, Ming Li, Xinxin Liu et al.
UNIALIGN: Scaling Multimodal Alignment within One Unified Model
bo zhou, Liulei Li, Yujia Wang et al.
Private Statistical Estimation via Truncation
Manolis Zampetakis, Felix Zhou
Enhancing Tactile-based Reinforcement Learning for Robotic Control
Elle Miller, Trevor McInroe, David Abel et al.
Hyperspectral Pansharpening via Diffusion Models with Iteratively Zero-Shot Guidance
Jin-Liang Xiao, Ting-Zhu Huang, Liang-Jian Deng et al.
Coupled Data and Measurement Space Dynamics for Enhanced Diffusion Posterior Sampling
Shayan Mohajer Hamidi, Ben Liang, EN-HUI YANG
Order-Level Attention Similarity Across Language Models: A Latent Commonality
Jinglin Liang, Jin Zhong, Shuangping Huang et al.
PolyPose: Deformable 2D/3D Registration via Polyrigid Transformations
Vivek Gopalakrishnan, Neel Dey, Polina Golland
An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds
Siyu Chen, Theodor Misiakiewicz, Ilias Zadik et al.
Long-Tailed Recognition via Information-Preservable Two-Stage Learning
Fudong Lin, Xu Yuan
Improving Regret Approximation for Unsupervised Dynamic Environment Generation
Harry Mead, Bruno Lacerda, Jakob Foerster et al.
Neural Combinatorial Optimization for Time Dependent Traveling Salesman Problem
Ruixiao Yang, Chuchu Fan
OPMapper: Enhancing Open-Vocabulary Semantic Segmentation with Multi-Guidance Information
Xuehui Wang, Chongjie Si, Xue Yang et al.
Large-scale Multi-view Tensor Clustering with Implicit Linear Kernels
Jiyuan Liu, Xinwang Liu, chuankun Li et al.
ACT as Human: Multimodal Large Language Model Data Annotation with Critical Thinking
Lequan Lin, Dai Shi, Andi Han et al.
Spike4DGS: Towards High-Speed Dynamic Scene Rendering with 4D Gaussian Splatting via a Spike Camera Array
Qinghong Ye, Yiqian Chang, Jianing Li et al.
Shortcut Features as Top Eigenfunctions of NTK: A Linear Neural Network Case and More
Jinwoo Lim, Suhyun Kim, Soo-Mook Moon
Exploiting Task Relationships in Continual Learning via Transferability-Aware Task Embeddings
Yanru Wu, Jianning Wang, Xiangyu Chen et al.
Efficient Multi-bit Quantization Network Training via Weight Bias Correction and Bit-wise Coreset Sampling
Jinhee Kim, Jae Jun An, Kang Eun Jeon et al.
The Impact Label Noise and Choice of Threshold has on Cross-Entropy and Soft-Dice in Image Segmentation
Marcus Nordström, Atsuto Maki, Henrik Hult
Hierarchical Optimization via LLM-Guided Objective Evolution for Mobility-on-Demand Systems
Yi Zhang, Yushen Long, Yun Ni et al.
When Does Curriculum Learning Help? A Theoretical Perspective
Raman Arora, Yunjuan Wang, Kaibo Zhang
Reframing Gaussian Splatting Densification with Complexity-Density Consistency of Primitives
Zhemeng Dong, Junjun Jiang, Youyu Chen et al.
Adversary Aware Optimization for Robust Defense
Daniel Wesego, Pedram Rooshenas
Improved Confidence Regions and Optimal Algorithms for Online and Offline Linear MNL Bandits
Yuxuan Han, Jose Blanchet, Zhengyuan Zhou
Towards Generalizable Multi-Policy Optimization with Self-Evolution for Job Scheduling
Inguk Choi, Woo-Jin Shin, Sang-Hyun Cho et al.
EfficientLLaVA: Generalizable Auto-Pruning for Large Vision-language Models
Yinan Liang, Ziwei Wang, Xiuwei Xu et al.
GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation
Sohyun Lee, Yeho Gwon, Lukas Hoyer et al.
Scalable Neural Network Geometric Robustness Validation via Hölder Optimisation
Yanghao Zhang, Panagiotis Kouvaros, Alessio Lomuscio
Motions as Queries: One-Stage Multi-Person Holistic Human Motion Capture
Kenkun Liu, Yurong Fu, Weihao Yuan et al.
A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning
Anjie Liu, Jianhong Wang, Samuel Kaski et al.
Learned Prefix Caching for Efficient LLM Inference
Dongsheng Yang, Austin Li, Kai Li et al.
Rethinking Noisy Video-Text Retrieval via Relation-aware Alignment
Huakai Lai, Guoxin Xiong, Huayu Mai et al.
Coarse-to-fine Q-Network with Action Sequence for Data-Efficient Reinforcement Learning
Younggyo Seo, Pieter Abbeel
Multi-Agent Debate for LLM Judges with Adaptive Stability Detection
Tianyu Hu, Zhen Tan, Song Wang et al.
Small Resamples, Sharp Guarantees: Convergence Rates for Resampled Studentized Quantile Estimators
Imon Banerjee, Sayak Chakrabarty
Reconstructing Close Human Interaction with Appearance and Proxemics Reasoning
Buzhen Huang, Chen Li, Chongyang Xu et al.
Distilling LLM Prior to Flow Model for Generalizable Agent’s Imagination in Object Goal Navigation
Badi Li, Ren-Jie Lu, Yu Zhou et al.
Cancer Survival Analysis via Zero-shot Tumor Microenvironment Segmentation on Low-resolution Whole Slide Pathology Images
Jiao Tang, WEI SHAO, Daoqiang Zhang
M3GYM: A Large-Scale Multimodal Multi-view Multi-person Pose Dataset for Fitness Activity Understanding in Real-world Settings
Qingzheng Xu, Ru Cao, Xin Shen et al.
MLEP: Multi-granularity Local Entropy Patterns for Generalized AI-generated Image Detection
Lin Yuan, Xiaowan Li, Yan Zhang et al.
Strategic Costs of Perceived Bias in Fair Selection
L. Elisa Celis, Lingxiao Huang, Milind Sohoni et al.