Most Cited 2025 "general reasoning" Papers
22,274 papers found • Page 82 of 112
Conference
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing
Yongxin Guo, Lin Wang, Xiaoying Tang et al.
Enhanced Pansharpening via Quaternion Spatial-Spectral Interactions
Dong Li, Chunhui Luo, Yuanfei Bao et al.
IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models
Khaled Abud, Sergey Lavrushkin, Alexey Kirillov et al.
A Generalized Label Shift Perspective for Cross-Domain Gaze Estimation
Hao-Ran Yang, Xiaohui Chen, Chuan-Xian Ren
Efficient Fine-Tuning of Large Models via Nested Low-Rank Adaptation
Lujun Li, Cheng Lin, Dezhi Li et al.
Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion
Jiwon Kim, Pureum Kim, SeonHwa Kim et al.
Revolutionizing Graph Aggregation: From Suppression to Amplification via BoostGCN
Jiaxin Wu, Chenglong Pang, Guangxiong Chen et al.
Anti-Tamper Protection for Unauthorized Individual Image Generation
Zelin Li, Ruohan Zong, Yifan Liu et al.
ClimbingCap: Multi-Modal Dataset and Method for Rock Climbing in World Coordinate
Ming Yan, Xincheng Lin, Yuhua Luo et al.
Diffusion-based Source-biased Model for Single Domain Generalized Object Detection
Han Jiang, Wenfei Yang, Tianzhu Zhang et al.
Continual Personalization for Diffusion Models
Yu-Chien Liao, Jr-Jen Chen, Chi-Pin Huang et al.
Split-and-Combine: Enhancing Style Augmentation for Single Domain Generalization
Zhen Zhang, Zhen Zhang, Qianlong Dang et al.
DeepLA-Net: Very Deep Local Aggregation Networks for Point Cloud Analysis
Ziyin Zeng, Mingyue Dong, Jian Zhou et al.
Optimize Any Topology: A Foundation Model for Shape- and Resolution-Free Structural Topology Optimization
Amin Heyrani Nobari, Lyle Regenwetter, Cyril Picard et al.
3BASiL: An Algorithmic Framework for Sparse plus Low-Rank Compression of LLMs
Mehdi Makni, Xiang Meng, Rahul Mazumder
Disentangling misreporting from genuine adaptation in strategic settings: a causal approach
Dylan Zapzalka, Trenton Chang, Lindsay Warrenburg et al.
Reasoning Models Sometimes Output Illegible Chains of Thought
Arun Jose
Robust and Scalable Autonomous Reinforcement Learning in Irreversible Environments
Sang-Hyun Lee
Learning to Factorize Spatio-Temporal Foundation Models
Siru Zhong, Junjie Qiu, Yangyu Wu et al.
$\text{G}^2\text{M}$: A Generalized Gaussian Mirror Method to Boost Feature Selection Power
Hongyu Shen, Zhizhen Jane Zhao
Fast Projection-Free Approach (without Optimization Oracle) for Optimization over Compact Convex Set
Chenghao Liu, Enming Liang, Minghua Chen
ActiveVOO: Value of Observation Guided Active Knowledge Acquisition for Open-World Embodied Lifted Regression Planning
Xiaotian Liu, Ali Pesaranghader, Jaehong Kim et al.
Understanding Differential Transformer Unchains Pretrained Self-Attentions
Chaerin Kong, Jiho Jang, Nojun Kwak
Enhanced Self-Distillation Framework for Efficient Spiking Neural Network Training
Xiaochen Zhao, Chengting Yu, Kairong Yu et al.
RigAnyFace: Scaling Neural Facial Mesh Auto-Rigging with Unlabeled Data
Wenchao Ma, Dario Kneubuehler, Maurice Chu et al.
From Indicators to Insights: Diversity-Optimized for Medical Series-Text Decoding via LLMs
Xiyuan Jin, Jing Wang, Ziwei Lin et al.
GeoDistill: Geometry-Guided Self-Distillation for Weakly Supervised Cross-View Localization
Shaowen Tong, Zimin Xia, Alexandre Alahi et al.
Knowledge Distillation for Learned Image Compression
Yunuo Chen, Zezheng Lyu, Bing He et al.
Federated Representation Angle Learning
Liping Yi, Han Yu, Gang Wang et al.
MinCD-PnP: Learning 2D-3D Correspondences with Approximate Blind PnP
Pei An, Jiaqi Yang, Muyao Peng et al.
TIDMAD: Time Series Dataset for Discovering Dark Matter with AI Denoising
Jessica Fry, Xinyi Fu, Zhenghao Fu et al.
ProjAttacker: A Configurable Physical Adversarial Attack for Face Recognition via Projector
Yuanwei Liu, Hui Wei, Chengyu Jia et al.
Feature Selection for Latent Factor Models
Rittwika Kansabanik, Adrian Barbu
Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion Segmentation
Lexin Fang, Yunyang Xu, Xiang Ma et al.
FEEL: Quantifying Heterogeneity in Physiological Signals for Generalizable Emotion Recognition
Pragya Singh, Ankush Gupta, Somay Jalan et al.
Learning Theory for Kernel Bilevel Optimization
Fares El Khoury, Edouard Pauwels, Samuel Vaiter et al.
Enhancing Adversarial Transferability by Balancing Exploration and Exploitation with Gradient-Guided Sampling
Zenghao Niu, Weicheng Xie, Siyang Song et al.
UMU-Bench: Closing the Modality Gap in Multimodal Unlearning Evaluation
Chengye Wang, Yuyuan Li, XiaoHua Feng et al.
Benchmarking Multimodal Large Language Models Against Image Corruptions
Xinkuan Qiu, Meina Kan, Yongbin Zhou et al.
Intra-modal and Cross-modal Synchronization for Audio-visual Deepfake Detection and Temporal Localization
Ashutosh Anshul, Shreyas Gopal, Deepu Rajan et al.
Efficient Safe Meta-Reinforcement Learning: Provable Near-Optimality and Anytime Safety
Siyuan Xu, Minghui Zhu
Joint Learning of Pose Regression and Denoising Diffusion with Score Scaling Sampling for Category-level 6D Pose Estimation
Seunghyun Lee, Tae-Kyun Kim
FedAGC: Federated Continual Learning with Asymmetric Gradient Correction
Chengchao Zhang, Fanhua Shang, Hongying Liu et al.
AVQACL: A Novel Benchmark for Audio-Visual Question Answering Continual Learning
Kaixuan Wu, Xinde Li, Xinglin Li et al.
Efficiently Maintaining the Multilingual Capacity of MCLIP in Downstream Cross-Modal Retrieval Tasks
Fengmao Lyu, Jitong Lei, Guosheng Lin et al.
KeeA*: Epistemic Exploratory A* Search via Knowledge Calibration
Dengwei Zhao, Shikui Tu, Yanan Sun et al.
RogSplat: Robust Gaussian Splatting via Generative Priors
Hanyang Kong, Xingyi Yang, Xinchao Wang
MUniverse: A Simulation and Benchmarking Suite for Motor Unit Decomposition
Pranav Mamidanna, Thomas Klotz, Dimitrios Chalatsis et al.
Zero-Shot Depth Aware Image Editing with Diffusion Models
Rishubh Parihar, Sachidanand VS, Venkatesh Babu Radhakrishnan
MixSignGraph: A Sign Sequence is Worth Mixed Graphs of Nodes
Shiwei Gan, Yafeng Yin, Zhiwei Jiang et al.
Benchmarking Retrieval-Augmented Multimomal Generation for Document Question Answering
Kuicai Dong, CHANG YUJING, Shijie Huang et al.
Unlocking SLM Potential for Data Analysis Code Generation via Non-Parametric Knowledge Distillation
Jinyang Li, Jack Williams, Nick McKenna et al.
Disentangling Hyperedges through the Lens of Category Theory
Yoonho Lee, Junseok Lee, Sangwoo Seo et al.
SNEAKDOOR: Stealthy Backdoor Attacks against Distribution Matching-based Dataset Condensation
He Yang, Dongyi Lv, Song Ma et al.
Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach
woohyeon Byeon, Giseung Park, Jongseong Chae et al.
BurstDeflicker: A Benchmark Dataset for Flicker Removal in Dynamic Scenes
Lishen Qu, Zhihao Liu, Shihao Zhou et al.
STree: Speculative Tree Decoding for Hybrid State Space Models
Yangchao Wu, Zongyue Qin, Alex Wong et al.
PID-controlled Langevin Dynamics for Faster Sampling on Generative Models
Hongyi Chen, Jianhai Shu, Jingtao Ding et al.
Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic
Jianwei Tang, Hong Yang, Tengyue Chen et al.
Global and Local Entailment Learning for Natural World Imagery
Srikumar Sastry, Aayush Dhakal, Eric Xing et al.
Temporal-aware Query Routing for Real-time Video Instance Segmentation
Zesen Cheng, Kehan Li, Yian Zhao et al.
LHM: Large Animatable Human Reconstruction Model for Single Image to 3D in Seconds
Lingteng Qiu, Xiaodong Gu, Peihao Li et al.
TRKT: Weakly Supervised Dynamic Scene Graph Generation with Temporal-enhanced Relation-aware Knowledge Transferring
Zhu Xu, Ting Lei, Zhimin Li et al.
Structure-Aware Spectral Sparsification via Uniform Edge Sampling
Kaiwen He, Petros Drineas, Rajiv Khanna
Investigating the Role of Weight Decay in Enhancing Nonconvex SGD
Tao Sun, Yuhao Huang, Li Shen et al.
Pose-Star: Anatomy-Aware Editing for Open-World Fashion Images
Yuran Dong, Mang Ye
V^2Dial: Unification of Video and Visual Dialog via Multimodal Experts
Adnen Abdessaied, Anna Rohrbach, Marcus Rohrbach et al.
Who Controls the Authorization? Invertible Networks for Copyright Protection in Text-to-Image Synthesis
Baoyue Hu, Yang Wei, Junhao Xiao et al.
Unified Open-World Segmentation with Multi-Modal Prompts
Yang Liu, Yufei Yin, Chenchen Jing et al.
OrderChain: Towards General Instruct-Tuning for Stimulating the Ordinal Understanding Ability of MLLM
Jinhong Wang, Shuo Tong, Jintai CHEN et al.
Vision-Language Interactive Relation Mining for Open-Vocabulary Scene Graph Generation
Yukuan Min, Muli Yang, Jinhao Zhang et al.
Laplace Sample Information: Data Informativeness Through a Bayesian Lens
Johannes Kaiser, Kristian Schwethelm, Daniel Rueckert et al.
MS-Bench: Evaluating LMMs in Ancient Manuscript Study through a Dunhuang Case Study
Yuqing Zhang, Yue Han, Shuanghe Zhu et al.
Towards precision protein-ligand affinity prediction benchmark: A Complete and Modification-Aware DAVIS Dataset
Ming Hsiu Wu, Ziqian Xie, Shuiwang Ji et al.
Flexible inference for animal learning rules using neural networks
Yuhan Helena Liu, Victor Geadah, Jonathan Pillow
Unveiling Extraneous Sampling Bias with Data Missing-Not-At-Random
Chunyuan Zheng, Haocheng Yang, Haoxuan Li et al.
TransferBench: Benchmarking Ensemble-based Black-box Transfer Attacks
Fabio Brau, Maura Pintor, Antonio Cinà et al.
FontAnimate: High Quality Few-shot Font Generation via Animating Font Transfer Process
Bin Fu, Zixuan Wang, Kainan Yan et al.
DetectiumFire: A Comprehensive Multi-modal Dataset Bridging Vision and Language for Fire Understanding
Zixuan Liu, Siavash H. Khajavi, Guangkai Jiang
OceanBench: A Benchmark for Data-Driven Global Ocean Forecasting systems
Anass El Aouni, Quentin Gaudel, J. Emmanuel Johnson et al.
CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections
Thomas Walker, Salvatore Esposito, Daniel Rebain et al.
Vector Contrastive Learning For Pixel-Wise Pretraining In Medical Vision
Yuting He, Shuo Li
Unified 2D-3D Discrete Priors for Noise-Robust and Calibration-Free Multiview 3D Human Pose Estimation
Geng Chen, Pengfei Ren, Xufeng Jian et al.
PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches
Dennis Jacob, Chong Xiang, Prateek Mittal
Unbiased Prototype Consistency Learning for Multi-Modal and Multi-Task Object Re-Identification
Zhongao Zhou, Bin Yang, Wenke Huang et al.
Improving Monte Carlo Tree Search for Symbolic Regression
Zhengyao Huang, Daniel Huang, Tiannan Xiao et al.
Oryx: a Scalable Sequence Model for Many-Agent Coordination in Offline MARL
Juan Formanek, Omayma Mahjoub, Louay Nessir et al.
Dual-Temporal Exemplar Representation Network for Video Semantic Segmentation
Xiaolong Xu, Lei Zhang, Jiayi Li et al.
Spatially-aware Weights Tokenization for NeRF-Language Models
Andrea Amaduzzi, Pierluigi Zama Ramirez, Giuseppe Lisanti et al.
Tabula: A Tabular Self-Supervised Foundation Model for Single-Cell Transcriptomics
Jiayuan Ding, Jianhui Lin, Shiyu Jiang et al.
Depth-Supervised Fusion Network for Seamless-Free Image Stitching
Zhiying Jiang, Ruhao Yan, Zengxi Zhang et al.
Learning Beyond Still Frames: Scaling Vision-Language Models with Video
Yiyuan Zhang, Handong Li, Jing Liu et al.
Prof. Robot: Differentiable Robot Rendering Without Static and Self-Collisions
Quanyuan Ruan, Jiabao Lei, Wenhao Yuan et al.
Optimal Graph Clustering without Edge Density Signals
Maximilien Dreveton, Elaine Liu, Matthias Grossglauser et al.
ALIEN: Implicit Neural Representations for Human Motion Prediction under Arbitrary Latency
Dong Wei, Xiaoning Sun, Xizhan Gao et al.
An Efficient Orlicz-Sobolev Approach for Transporting Unbalanced Measures on a Graph
Tam Le, Truyen Nguyen, Hideitsu Hino et al.
AG2aussian: Anchor-Graph Structured Gaussian Splatting for Instance-Level 3D Scene Understanding and Editing
Zhaonan Wang, Manyi Li, Changhe Tu
CLOT: Closed Loop Optimal Transport for Unsupervised Action Segmentation
Elena Bueno-Benito, Mariella Dimiccoli
ConsistentCity: Semantic Flow-guided Occupancy DiT for Temporally Consistent Driving Scene Synthesis
Benjin Zhu, Xiaogang Wang, Hongsheng Li
Unfolding the Black Box of Recurrent Neural Networks for Path Integration
Tianhao Chu, Yuling Wu, Neil Burgess et al.
GIF: Generative Inspiration for Face Recognition at Scale
Mohammad Saadabadi Saadabadi, Sahar Rahimi Malakshan, Ali Dabouei et al.
Plug-and-play Feature Causality Decomposition for Multimodal Representation Learning
Ye Liu, Zihan Ji, Hongmin Cai
ConstStyle: Robust Domain Generalization with Unified Style Transformation
Nam Duong Tran, Nam Nguyen Phuong, Hieu Pham et al.
PhySwin: An Efficient and Physically-Informed Foundation Model for Multispectral Earth Observation
Chong Tang, Joseph Powell, Dirk Koch et al.
Value Diffusion Reinforcement Learning
Xiaoliang Hu, Fuyun Wang, Tong Zhang et al.
MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph Classification
Xinya Qin, Lu Bai, Lixin Cui et al.
Policy Gradient Methods Converge Globally in Imperfect-Information Extensive-Form Games
Fivos Kalogiannis, Gabriele Farina
Asynchronous Event Error-Minimizing Noise for Safeguarding Event Dataset
Ruofei WANG, Peiqi Duan, Boxin Shi et al.
PandaPose: 3D Human Pose Lifting from a Single Image via Propagating 2D Pose Prior to 3D Anchor Space
Jinghong Zheng, Changlong Jiang, Yang Xiao et al.
The quest for the GRAph Level autoEncoder (GRALE)
Paul Krzakala, Gabriel Melo, Charlotte Laclau et al.
Kernel von Mises Formula of the Influence Function
Yaroslav Mukhin
Closed-Form Training Dynamics Reveal Learned Features and Linear Structure in Word2Vec-like Models
Dhruva Karkada, James Simon, Yasaman Bahri et al.
More Experts Than Galaxies: Conditionally-Overlapping Experts with Biologically-Inspired Fixed Routing
Sagi Shaier, Francisco Pereira, Katharina Kann et al.
TextMaster: A Unified Framework for Realistic Text Editing via Glyph-Style Dual-Control
Zhenyu Yan, Jian Wang, Aoqiang Wang et al.
MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking
Han Han, Wei Zhai, Yang Cao et al.
PermLLM: Learnable Channel Permutation for N:M Sparse Large Language Models
Lancheng Zou, Shuo Yin, Zehua Pei et al.
Non-Asymptotic Analysis Of Data Augmentation For Precision Matrix Estimation
Lucas Morisset, Adrien Hardy, Alain Durmus
Computational Budget Should Be Considered in Data Selection
Weilin Wan, Weizhong Zhang, Cheng Jin
SFUOD: Source-Free Unknown Object Detection
Keon-Hee Park, Seun-An Choe, Gyeong-Moon Park
Compress, Gather, and Recompute: REFORMing Long-Context Processing in Transformers
Woomin Song, Sai Muralidhar Jayanthi, Srikanth Ronanki et al.
Progressive Data Dropout: An Embarrassingly Simple Approach to Train Faster
Shriram M S, Xinyue Hao, Shihao Hou et al.
Beyond Perspective: Neural 360-Degree Video Compression
Andy Regensky, Marc Windsheimer, Fabian Brand et al.
Low-Biased General Annotated Dataset Generation
Dengyang Jiang, Haoyu Wang, Lei Zhang et al.
GLVD: Guided Learned Vertex Descent
Pol Caselles RIco, Francesc Moreno-Noguer
Dual-Path Temporal Decoder for End-to-End Multi-Object Tracking
Hyunseop Kim, Juheon Jeong, Hanul Kim et al.
Motion4D: Learning 3D-Consistent Motion and Semantics for 4D Scene Understanding
Haoran Zhou, Gim Hee Lee
Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning
Xianghua Zeng, Hao Peng, Yicheng Pan et al.
Towards Building Model/Prompt-Transferable Attackers against Large Vision-Language Models
Xiaowen Cai, Daizong Liu, Xiaoye Qu et al.
Learning Chern Numbers of Multiband Topological Insulators with Gauge Equivariant Neural Networks
Longde Huang, Oleksandr Balabanov, Hampus Linander et al.
QBasicVSR: Temporal Awareness Adaptation Quantization for Video Super-Resolution
Zhenwei Zhang, Fanhua Shang, Hongying Liu et al.
DyMoDreamer: World Modeling with Dynamic Modulation
Boxuan Zhang, Runqing Wang, Wei Xiao et al.
Probabilistic Inertial Poser (ProbIP): Uncertainty-aware Human Motion Modeling from Sparse Inertial Sensors
Min Kim, Younho Jeon, Sungho Jo
MCID: Multi-aspect Copyright Infringement Detection for Generated Images
Chuanwei Huang, Zexi Jia, Hongyan Fei et al.
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional, Black-box Systems
Dan MacKinlay, Russell Tsuchida, Daniel Pagendam et al.
Understanding while Exploring: Semantics-driven Active Mapping
Liyan Chen, Huangying Zhan, Hairong Yin 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.
Computable universal online learning
Dariusz Kalociński, Tomasz Steifer
Brain-Inspired fMRI-to-Text Decoding via Incremental and Wrap-Up Language Modeling
Wentao Lu, Dong Nie, Pengcheng Xue et al.
EVOLVE: Event-Guided Deformable Feature Transfer and Dual-Memory Refinement for Low-Light Video Object Segmentation
Jong Hyeon Baek, Jiwon oh, Yeong Jun Koh
Hierarchical Shortest-Path Graph Kernel Network
Jiaxin Wang, Wenxuan Tu, Jieren Cheng
Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data
Zi Liang, Qingqing Ye, Xuan Liu et al.
Safely Learning Controlled Stochastic Dynamics
Luc Brogat-Motte, Alessandro Rudi, Riccardo Bonalli
Viewpoint Rosetta Stone: Unlocking Unpaired Ego-Exo Videos for View-invariant Representation Learning
Mi Luo, Zihui Xue, Alex Dimakis et al.
Text2Outfit: Controllable Outfit Generation with Multimodal Language Models
Yuanhao Zhai, Yen-Liang Lin, Minxu Peng et al.
Fantastic Features and Where to Find Them: A Probing Method to combine Features from Multiple Foundation Models
Benjamin Ramtoula, Pierre-Yves Lajoie, Paul Newman et al.
Differential Privacy for Euclidean Jordan Algebra with Applications to Private Symmetric Cone Programming
Zhao Song, Jianfei Xue, Lichen Zhang
Adaptive Transformer Programs: Bridging the Gap Between Performance and Interpretability in Transformers
Quoc-Vinh Lai-Dang, Taemin Kang, Seungah Son
AdMiT: Adaptive Multi-Source Tuning in Dynamic Environments
Xiangyu Chang, Fahim Faisal Niloy, Sk Miraj Ahmed et al.
UPP: Unified Point-Level Prompting for Robust Point Cloud Analysis
Zixiang Ai, Zhenyu Cui, Yuxin Peng et al.
When and how can inexact generative models still sample from the data manifold?
Nisha Chandramoorthy, Adriaan de Clercq
L2DGCN: Learnable Enhancement and Label Selection Dynamic Graph Convolutional Networks for Mitigating Degree Bias
jingxiao zhang, Shifei Ding, Jian Zhang et al.
On Logic-based Self-Explainable Graph Neural Networks
Alessio Ragno, Marc Plantevit, Céline Robardet
Elastic ViTs from Pretrained Models without Retraining
Walter Simoncini, Michael Dorkenwald, Tijmen Blankevoort et al.
Mamba Only Glances Once (MOGO): A Lightweight Framework for Efficient Video Action Detection
Yunqing Liu, Nan Zhang, Fangjun Wang et al.
Optimizing the Unknown: Black Box Bayesian Optimization with Energy-Based Model and Reinforcement Learning
RUIYAO MIAO, Junren Xiao, Shiya Tsang et al.
KAIROS: Scalable Model-Agnostic Data Valuation
Jiongli Zhu, Parjanya Prashant, Alex Cloninger et al.
Johnson-Lindenstrauss Lemma Beyond Euclidean Geometry
Chengyuan Deng, Jie Gao, Kevin Lu et al.
Bézier Splatting for Fast and Differentiable Vector Graphics Rendering
Xi Liu, Chaoyi Zhou, Nanxuan Zhao 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.
Influence Functions for Edge Edits in Non-Convex Graph Neural Networks
Jaeseung Heo, Kyeongheung Yun, Seokwon Yoon et al.
DIV-FF: Dynamic Image-Video Feature Fields For Environment Understanding in Egocentric Videos
Lorenzo Mur-Labadia, Jose J. Guerrero, Ruben Martinez-Cantin
NEED: Cross-Subject and Cross-Task Generalization for Video and Image Reconstruction from EEG Signals
Shuai Huang, Huan Luo, Haodong Jing et al.
ShowMak3r: Compositional TV Show Reconstruction
Sangmin Kim, Seunguk Do, Jaesik Park
Don’t Let It Fade: Preserving Edits in Diffusion Language Models via Token Timestep Allocation
Woojin Kim, Jaeyoung Do
Rainbow Delay Compensation: A Multi-Agent Reinforcement Learning Framework for Mitigating Observation Delays
Songchen Fu, Siang Chen, Shaojing Zhao et al.
Planning with Quantized Opponent Models
XiaoPeng Yu, Kefan Su, Zongqing Lu
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.
EchoMatch: Partial-to-Partial Shape Matching via Correspondence Reflection
Yizheng Xie, Viktoria Ehm, Paul Roetzer et al.
Imitation Learning with Temporal Logic Constraints
Zining Fan, He Zhu
Vector Quantization in the Brain: Grid-like Codes in World Models
Xiangyuan Peng, Xingsi Dong, Si Wu
Stable Cinemetrics : Structured Taxonomy and Evaluation for Professional Video Generation
Agneet Chatterjee, Rahim Entezari, Maksym Zhuravinskyi et al.
Angular Constraint Embedding via SpherePair Loss for Constrained Clustering
Shaojie Zhang, Ke Chen
On the sample complexity of semi-supervised multi-objective learning
Tobias Wegel, Geelon So, Junhyung Park et al.
Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models
Tomas Soucek, Sylvestre-Alvise Rebuffi, Pierre Fernandez et al.
Beyond Oracle: Verifier-Supervision for Instruction Hierarchy in Reasoning and Instruction-Tuned LLMs
Sian-Yao Huang, Li-Hsien Chang, Che-Yu Lin et al.
Optimal Dynamic Regret by Transformers for Non-Stationary Reinforcement Learning
Baiyuan Chen, Shinji Ito, Masaaki Imaizumi
Hierarchy-Aware Pseudo Word Learning with Text Adaptation for Zero-Shot Composed Image Retrieval
Zhe Li, Lei Zhang, Zheren Fu et al.
Learning-Augmented Online Bidding in Stochastic Settings
Spyros Angelopoulos, Bertrand Simon
MobileViCLIP: An Efficient Video-Text Model for Mobile Devices
Min Yang, Zihan Jia, Zhilin Dai et al.
Efficient semantic uncertainty quantification in language models via diversity-steered sampling
Ji Won Park, Kyunghyun Cho
Feature Unlearning: Theoretical Foundations and Practical Applications with Shuffling
Yue Yang, Jinhao Li, Hao Wang
FASTer: Focal token Acquiring-and-Scaling Transformer for Long-term 3D Objection Detection
Chenxu Dang, Pei An, Xinmin Zhang et al.
LOMIA: Label-Only Membership Inference Attacks against Pre-trained Large Vision-Language Models
Yihao LIU, Xinqi Lyu, Dong Wang et al.
Nonparametric Quantile Regression with ReLU-Activated Recurrent Neural Networks
Hang Yu, Lyumin Wu, Wenxin Zhou et al.
Seeing Speech and Sound: Distinguishing and Locating Audio Sources in Visual Scenes
Hyeonggon Ryu, Seongyu Kim, Joon Chung et al.
Towards Effective Foundation Model Adaptation for Extreme Cross-Domain Few-Shot Learning
Fei Zhou, Peng Wang, Lei Zhang et al.
Scaling Up Parameter Generation: A Recurrent Diffusion Approach
Kai Wang, Dongwen Tang, Wangbo Zhao et al.
Debiased Teacher for Day-to-Night Domain Adaptive Object Detection
Yiming Cui, Liang Li, Haibing YIN et al.
Diffusion on Demand: Selective Caching and Modulation for Efficient Generation
Hee Min Choi, Hyoa Kang, Dokwan Oh et al.
Global Identifiability of Overcomplete Dictionary Learning via L1 and Volume Minimization
Yuchen Sun, Kejun Huang
Self-Supervised Discovery of Neural Circuits in Spatially Patterned Neural Responses with Graph Neural Networks
Kijung Yoon
FedFree: Breaking Knowledge-sharing Barriers through Layer-wise Alignment in Heterogeneous Federated Learning
Haizhou Du, Yiran Xiang, Yiwen Cai et al.
DSRF: A Dynamic and Scalable Reasoning Framework for Solving RPMs
Chengtai Li, Yuting He, Jianfeng Ren et al.
Online Locally Differentially Private Conformal Prediction via Binary Inquiries
Qiangqiang Zhang, Chenfei Gu, Xinwei Feng et al.
Principled Long-Tailed Generative Modeling via Diffusion Models
Pranoy Das, Kexin Fu, Abolfazl Hashemi et al.
SONAR: Long-Range Graph Propagation Through Information Waves
Alessandro Trenta, Alessio Gravina, Davide Bacciu
Spatial-Aware Decision-Making with Ring Attractors in Reinforcement Learning Systems
Marcos Negre Saura, Richard Allmendinger, Wei Pan et al.
Improving Decision Trees through the Lens of Parameterized Local Search
Juha Harviainen, Frank Sommer, Manuel Sorge
TGA: True-to-Geometry Avatar Dynamic Reconstruction
Bo Guo, Sijia Wen, Ziwei Wang et al.
Fat-to-Thin Policy Optimization: Offline Reinforcement Learning with Sparse Policies
Lingwei Zhu, Han Wang, Yukie Nagai