Most Cited 2025 "approximation factor" Papers
22,274 papers found • Page 90 of 112
Conference
Low-Rank Graphon Learning for Networks
Xinyuan Fan, Feiyan Ma, Chenlei Leng et al.
Delving into Large Language Models for Effective Time-Series Anomaly Detection
JUN WOO PARK, Kyudan Jung, Dohyun Lee et al.
Infrequent Exploration in Linear Bandits
Harin Lee, Min-hwan Oh
PHD: Personalized 3D Human Body Fitting with Point Diffusion
Hsuan-I Ho, Chen Guo, Po-Chen Wu et al.
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.
CARIM: Caption-Based Autonomous Driving Scene Retrieval via Inclusive Text Matching
Minjoo Ki, Dae Jung Kim, Kisung Kim 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.
Robust Test-Time Adaptation for Single Image Denoising Using Deep Gaussian Prior
Qing Ma, Pengwei Liang, Xiong Zhou et al.
RFMPose: Generative Category-level Object Pose Estimation via Riemannian Flow Matching
Wenzhe Ouyang, Qi Ye, Jinghua Wang et al.
SpikingVTG: A Spiking Detection Transformer for Video Temporal Grounding
Malyaban Bal, Brian Matejek, Susmit Jha et al.
Single-agent Poisoning Attacks Suffice to Ruin Multi-Agent Learning
Fan Yao, Yuwei Cheng, Ermin Wei et al.
Fuz-RL: A Fuzzy-Guided Robust Framework for Safe Reinforcement Learning under Uncertainty
Xu Wan, Chao Yang, Cheng Yang et al.
Image-Guided Shape-from-Template Using Mesh Inextensibility Constraints
Dinh-Vinh-Thuy Tran, Ruochen Chen, Shaifali Parashar
RAPID Hand: Robust, Affordable, Perception-Integrated, Dexterous Manipulation Platfrom for Embodied Intelligence
Zhaoliang Wan, Zetong Bi, Zida Zhou et al.
Inference of Whole Brain Electrophysiological Networks Through Multimodal Integration of Simultaneous Scalp and Intracranial EEG
Shihao Yang, Feng Liu
AutoComPose: Automatic Generation of Pose Transition Descriptions for Composed Pose Retrieval Using Multimodal LLMs
Yi-Ting Shen, Sungmin Eum, Doheon Lee et al.
Certifying Deep Network Risks and Individual Predictions with PAC-Bayes Loss via Localized Priors
Wen Dong
Tracking Tiny Drones against Clutter: Large-Scale Infrared Benchmark with Motion-Centric Adaptive Algorithm
Jiahao Zhang, Zongli Jiang, Gang Wang et al.
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video
David Stotko, Reinhard Klein
Explaining the Law of Supply and Demand via Online Learning
Stratis Skoulakis
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.
Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging
Xianrui Li, Yufei Cui, Jun Li 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
VOccl3D: A Video Benchmark Dataset for 3D Human Pose and Shape Estimation under real Occlusions
Yash Garg, Saketh Bachu, Arindam Dutta et al.
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
Exploring View Consistency for Scene-Adaptive Low-Light Light Field Image Enhancement
Shuo Zhang, Chen Gao, Youfang Lin
Personalized Visual Content Generation in Conversational Systems
Xianquan Wang, Zhaocheng Du, Huibo Xu et al.
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.
Cracking Instance Jigsaw Puzzles: A Superior Alternative to Multiple Instance Learning for Whole Slide Image Analysis
Xiwen Chen, Peijie Qiu, Wenhui Zhu 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.
Point-based Instance Completion with Scene Constraints
Wesley Khademi, Li Fuxin
HccePose (BF): Predicting Front & Back Surfaces to Construct Ultra-Dense 2D-3D Correspondences for Pose Estimation
Yulin Wang, Mengting Hu, Hongli Li et al.
GDrag:Towards General-Purpose Interactive Editing with Anti-ambiguity Point Diffusion
Xiaojian Lin, Hanhui Li, Yuhao Cheng et al.
Coupled Data and Measurement Space Dynamics for Enhanced Diffusion Posterior Sampling
Shayan Mohajer Hamidi, Ben Liang, EN-HUI YANG
Eliciting Reasoning in Language Models with Cognitive Tools
Brown Wilfried Ebouky Doualla Dina, Andrea Bartezzaghi, Mattia Rigotti
Efficient Fairness-Performance Pareto Front Computation
Mark Kozdoba, Binyamin Perets, Shie Mannor
Order-Level Attention Similarity Across Language Models: A Latent Commonality
Jinglin Liang, Jin Zhong, Shuangping Huang et al.
4DSegStreamer: Streaming 4D Panoptic Segmentation via Dual Threads
Ling Liu, Jun Tian, Li Yi
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 Inverse Rendering for High-Accuracy 3D Measurement of Moving Objects with Fewer Phase-Shifting Patterns
Yuki Urakawa, Yoshihiro Watanabe
StableDepth: Scene-Consistent and Scale-Invariant Monocular Depth
Zheng Zhang, Lihe Yang, Tianyu Yang et al.
Similarity Memory Prior is All You Need for Medical Image Segmentation
Hao Tang, Zhiqing Guo, Liejun Wang et al.
Multi-Kernel Correlation-Attention Vision Transformer for Enhanced Contextual Understanding and Multi-Scale Integration
Hongkang Zhang, Shao-Lun Huang, Ercan KURUOGLU et al.
Layer-wise Vision Injection with Disentangled Attention for Efficient LVLMs
Xuange Zhang, Dengjie Li, Bo Liu et al.
Neural Combinatorial Optimization for Time Dependent Traveling Salesman Problem
Ruixiao Yang, Chuchu Fan
Weakly-Supervised Learning of Dense Functional Correspondences
Stefan Stojanov, Linan Zhao, Yunzhi Zhang et al.
OPMapper: Enhancing Open-Vocabulary Semantic Segmentation with Multi-Guidance Information
Xuehui Wang, Chongjie Si, Xue Yang et al.
Debiasing Trace Guidance: Top-down Trace Distillation and Bottom-up Velocity Alignment for Unsupervised Anomaly Detection
Xingjian Wang, Li Chai, Jiming Chen
Bit-swapping Oriented Twin-memory Multi-view Clustering in Lifelong Incomplete Scenarios
Shengju Yu, Pei Zhang, Siwei Wang et al.
ACT as Human: Multimodal Large Language Model Data Annotation with Critical Thinking
Lequan Lin, Dai Shi, Andi Han et al.
Preference-driven Knowledge Distillation for Few-shot Node Classification
Xing Wei, Chunchun Chen, Rui Fan 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.
SIC: Similarity-Based Interpretable Image Classification with Neural Networks
Tom Nuno Wolf, Emre Kavak, Fabian Bongratz 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.
PlaneRAS: Learning Planar Primitives for 3D Plane Recovery
Fang Zhang, Wenzhao Zheng, Linqing Zhao et al.
Hierarchical Optimization via LLM-Guided Objective Evolution for Mobility-on-Demand Systems
Yi Zhang, Yushen Long, Yun Ni et al.
Unleashing the Temporal Potential of Stereo Event Cameras for Continuous-Time 3D Object Detection
Jae Young Kang, Hoonhee Cho, Kuk-Jin Yoon
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.
Solving Neural Min-Max Games: The Role of Architecture, Initialization & Dynamics
Deep Patel, Emmanouil-Vasileios Vlatakis-Gkaragkounis
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.
Spectral Compressive Imaging via Unmixing-driven Subspace Diffusion Refinement
Haijin Zeng, Benteng Sun, Yongyong Chen et al.
AR-VRM: Imitating Human Motions for Visual Robot Manipulation with Analogical Reasoning
Dejie Yang, Zijing Zhao, Yang Liu
GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation
Sohyun Lee, Yeho Gwon, Lukas Hoyer et al.
A Unified Latent Schrödinger Bridge Diffusion Model for Unsupervised Anomaly Detection and Localization
Shilhora Akshay, Niveditha Lakshmi Narasimhan, Jacob George et al.
Scalable Neural Network Geometric Robustness Validation via Hölder Optimisation
Yanghao Zhang, Panagiotis Kouvaros, Alessio Lomuscio
A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning
Anjie Liu, Jianhong Wang, Samuel Kaski et al.
Scaling up Image Segmentation across Data and Tasks
Pei Wang, Zhaowei Cai, Hao Yang et al.
Learned Prefix Caching for Efficient LLM Inference
Dongsheng Yang, Austin Li, Kai Li et al.
A Simple yet Mighty Hartley Diffusion Versatilist for Generalizable Dense Vision Tasks
Qi Bi, Jingjun Yi, Huimin Huang et al.
Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints
Hyungki Im, Wyame Benslimane, Paul Grigas
SpatialTrackerV2: Advancing 3D Point Tracking with Explicit Camera Motion
Yuxi Xiao, Jianyuan Wang, Nan Xue et al.
Coarse-to-fine Q-Network with Action Sequence for Data-Efficient Reinforcement Learning
Younggyo Seo, Pieter Abbeel
monoVLN: Bridging the Observation Gap between Monocular and Panoramic Vision and Language Navigation
Ren-Jie Lu, Yu Zhou, hao cheng et al.
Multi-Agent Debate for LLM Judges with Adaptive Stability Detection
Tianyu Hu, Zhen Tan, Song Wang et al.
Hate in Plain Sight: On the Risks of Moderating AI-Generated Hateful Illusions
Yiting Qu, Ziqing Yang, Yihan Ma et al.
Punching Bag vs. Punching Person: Motion Transferability in Videos
Raiyaan Abdullah, Jared Claypoole, Michael Cogswell et al.
Small Resamples, Sharp Guarantees: Convergence Rates for Resampled Studentized Quantile Estimators
Imon Banerjee, Sayak Chakrabarty
ColabSfM: Collaborative Structure-from-Motion by Point Cloud Registration
Johan Edstedt, André Mateus, Alberto Jaenal
Distilling LLM Prior to Flow Model for Generalizable Agent’s Imagination in Object Goal Navigation
Badi Li, Ren-Jie Lu, Yu Zhou et al.
DLoFT: Gradient-Decoupled Fine-Tuning for Generalizable Long Chain-of-Thought Reasoning
Sitong Wu, Haoru Tan, Jingyao Li et al.
Cancer Survival Analysis via Zero-shot Tumor Microenvironment Segmentation on Low-resolution Whole Slide Pathology Images
Jiao Tang, WEI SHAO, Daoqiang Zhang
Laboring on less labors: RPCA Paradigm for Pan-sharpening
honghui xu, Chuangjie Fang, Yibin Wang 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.
Skrull: Towards Efficient Long Context Fine-tuning through Dynamic Data Scheduling
Hongtao Xu, Wenting Shen, Yuanxin Wei et al.
Reconstruction and Secrecy under Approximate Distance Queries
Shay Moran, Elizaveta Nesterova
HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding?
Yusen Zhang, Wenliang Zheng, Aashrith Madasu et al.
COVTrack: Continuous Open-Vocabulary Tracking via Adaptive Multi-Cue Fusion
Zekun Qian, Ruize Han, Zhixiang Wang et al.
TOMCAT: Test-time Comprehensive Knowledge Accumulation for Compositional Zero-Shot Learning
Xudong Yan, Songhe Feng
DiffE2E: Rethinking End-to-End Driving with a Hybrid Diffusion-Regression-Classification Policy
Rui Zhao, Yuze Fan, Ziguo Chen et al.
Scalable Mechanistic Neural Networks
Jiale Chen, Dingling Yao, Adeel Pervez et al.
Deep Signature: Characterization of Large-Scale Molecular Dynamics
Tiexin Qin, Mengxu ZHU, Chunyang Li et al.
Thoughts Are All Over the Place: On the Underthinking of Long Reasoning Models
Yue Wang, Qiuzhi Liu, Jiahao Xu et al.
Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP
Yuxin Pan, Zhiguang Cao, Chengyang GU et al.
WarpHE4D: Dense 4D Head Map toward Full Head Reconstruction
Jongseob Yun, Yong-Hoon Kwon, Min-Gyu Park et al.
LEGO-Maker: A Semantic-Driven Algorithm for Text-to-3D Generation
Yifei Zhang, Lei Chen
Consistency Conditions for Differentiable Surrogate Losses
Drona Khurana, Anish Thilagar, Dhamma Kimpara et al.
Pairwise Optimal Transports for Training All-to-All Flow-Based Condition Transfer Model
Kotaro Ikeda, Masanori Koyama, Jinzhe Zhang et al.
Incentive-Aware Dynamic Resource Allocation under Long-Term Cost Constraints
Yan Dai, Negin Golrezaei, Patrick Jaillet
Learning-Augmented Algorithms for $k$-median via Online Learning
Anish Hebbar, Rong Ge, Amit Kumar et al.
Memory by accident: a theory of learning as a byproduct of network stabilization
Basile Confavreux, William Dorrell, Nishil Patel et al.
FedRAM: Federated Reweighting and Aggregation for Multi-Task Learning
Fan Wu, Xinyu Yan, Jiabei Liu et al.
MH-LVC: Multi-Hypothesis Temporal Prediction for Learned Conditional Residual Video Coding
Gao Zong lin, Huu-Tai Phung, Yi-Chen Yao et al.
Masked Gated Linear Unit
Yukito Tajima, Nakamasa Inoue, Yusuke Sekikawa et al.
PICASO: Permutation-Invariant Context Composition with State Space Models
Tian Yu Liu, Alessandro Achille, Matthew Trager et al.
Bridging the Gap Between Cross-Domain Theory and Practical Application: A Case Study on Molecular Dissolution
Sihan Wang, Wenjie Du, Qing Zhu et al.
Domain Adaptive Hashing Retrieval via VLM Assisted Pseudo-Labeling and Dual Space Adaptation
Jingyao Li, Zhanshan Li, Shuai Lü
IDOL: Meeting Diverse Distribution Shifts with Prior Physics for Tropical Cyclone Multi-Task Estimation
HantingYan Yan, Pan Mu, Shiqi Zhang et al.
MIX: A Multi-view Time-Frequency Interactive Explanation Framework for Time Series Classification
Viet-Hung Tran, Ngoc Phu Doan, Zichi Zhang et al.
CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices
XUCHEN FENG, Siyu Liao
Hamiltonian Neural PDE Solvers through Functional Approximation
Anthony Zhou, Amir Barati Farimani
Pay Attention to Small Weights
chao zhou, Tom Jacobs, Advait Gadhikar et al.
MiNT: Multi-Network Transfer Benchmark for Temporal Graph Learning
Kiarash Shamsi, Tran Gia Bao Ngo, Razieh Shirzadkhani et al.
Recover Biological Structure from Sparse-View Diffraction Images with Neural Volumetric Prior
Renzhi He, Haowen Zhou, Yubei Chen et al.
Focal Plane Visual Feature Generation and Matching on a Pixel Processor Array
Hongyi Zhang, Laurie Bose, Jianing Chen et al.
GloPER: Unsupervised Animal Pattern Extraction from Local Reconstruction
Bowen Chen, Yun Sing Koh, Gillian Dobbie
Epipolar Consistent Attention Aggregation Network for Unsupervised Light Field Disparity Estimation
Chen Gao, Shuo Zhang, Youfang Lin
Agnostic Active Learning Is Always Better Than Passive Learning
Steve Hanneke
Prior-aware Dynamic Temporal Modeling Framework for Sequential 3D Hand Pose Estimation
Pengfei Ren, Jingyu Wang, Haifeng Sun et al.
TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability
Tonglong Wei, Yan Lin, Zeyu Zhou et al.
MJ-Video: Benchmarking and Rewarding Video Generation with Fine-Grained Video Preference
Haibo Tong, Zhaoyang Wang, Zhaorun Chen et al.
DRaM-LHM: A Quaternion Framework for Iterative Camera Pose Estimation
Chen Lin, Weizhi Du, Zhixiang Min et al.
DADet: Safeguarding Image Conditional Diffusion Models against Adversarial and Backdoor Attacks via Diffusion Anomaly Detection
Hongwei Yu, Xinlong Ding, Jiawei Li et al.
AF-UMC: An Alignment-Free Fusion Framework for Unaligned Multi-View Clustering
Bohang Sun, Yuena Lin, Tao Yang et al.
Semi-infinite Nonconvex Constrained Min-Max Optimization
Cody Melcher, Zeinab Alizadeh, Lindsey Hiett et al.
Two Heads are Better than One: Simulating Large Transformers with Small Ones
Hantao Yu, Josh Alman
3DPE-Gaze:Unlocking the Potential of 3D Facial Priors for Generalized Gaze Estimation
Yangshi Ge, Yiwei Bao, Feng Lu
FlowRefiner: A Robust Traffic Classification Framework against Label Noise
Mingwei Zhan, Ruijie Zhao, Xianwen Deng et al.
Collapsing Taylor Mode Automatic Differentiation
Felix Dangel, Tim Siebert, Marius Zeinhofer et al.
Continuous-Time Human Motion Field from Event Cameras
Ziyun Wang, Ruijun Zhang, Zi-Yan Liu et al.
Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction
Yuanpei Gao, Qi Yan, Yan Leng et al.
PRIMT: Preference-based Reinforcement Learning with Multimodal Feedback and Trajectory Synthesis from Foundation Models
Ruiqi Wang, Dezhong Zhao, Ziqin Yuan et al.
Training Robust Graph Neural Networks by Modeling Noise Dependencies
Yeonjun In, Kanghoon Yoon, Sukwon Yun et al.
Track3R: Joint Point Map and Trajectory Prior for Spatiotemporal 3D Understanding
Seong Hyeon Park, Jinwoo Shin
Ambient Proteins - Training Diffusion Models on Noisy Structures
Giannis Daras, Jeffrey Ouyang-Zhang, Krithika Ravishankar et al.
RAPTR: Radar-based 3D Pose Estimation using Transformer
Sorachi Kato, Ryoma Yataka, Pu Wang et al.
Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination
Ilias Diakonikolas, Chao Gao, Daniel Kane et al.
The Structure of Relation Decoding Linear Operators in Large Language Models
Miranda Anna Christ, Adrián Csiszárik, Gergely Becsó et al.
Overcoming Long Context Limitations of State Space Models via Context Dependent Sparse Attention
Zhihao Zhan, Jianan Zhao, Zhaocheng Zhu et al.
Once Upon an Input: Reasoning via Per-Instance Program Synthesis
Adam Stein, Neelay Velingker, Mayur Naik et al.
Non-rectangular Robust MDPs with Normed Uncertainty Sets
Navdeep Kumar, Adarsh Gupta, Maxence Mohamed ELFATIHI et al.
Scaling 3D Compositional Models for Robust Classification and Pose Estimation
Xiaoding Yuan, Prakhar Kaushik, Guofeng Zhang et al.
IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals
Markus Gross, Aya Fahmy, Danit Niwattananan et al.
Bandit Guided Submodular Curriculum for Adaptive Subset Selection
Prateek Chanda, Prayas Agrawal, Saral Sureka et al.
OVA-Fields: Weakly Supervised Open-Vocabulary Affordance Fields for Robot Operational Part Detection
Heng Su, Mengying Xie, Nieqing Cao et al.
Brain-tuning Improves Generalizability and Efficiency of Brain Alignment in Speech Models
Omer Moussa, Mariya Toneva
Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the Role of Model Complexity
Mouïn Ben Ammar, David Brellmann, Arturo Mendoza et al.
OnlineSplatter: Pose-Free Online 3D Reconstruction for Free-Moving Objects
Mark H. Huang, Lin Geng Foo, Christian Theobalt et al.
MIDAS: Misalignment-based Data Augmentation Strategy for Imbalanced Multimodal Learning
Seong-Hyeon Hwang, Soyoung Choi, Steven Whang
GeoDiffusion: A Training-Free Framework for Accurate 3D Geometric Conditioning in Image Generation
Phillip Mueller, Talip Ünlü, Sebastian Schmidt et al.
Caption This, Reason That: VLMs Caught in the Middle
Zihan Weng, Lucas Gomez, Taylor Webb et al.
MIHC: Multi-View Interpretable Hypergraph Neural Networks with Information Bottleneck for Chip Congestion Prediction
Zeyue Zhang, Heng Ping, Peiyu Zhang et al.
Multi-Expert Distributionally Robust Optimization for Out-of-Distribution Generalization
Jinyong Jeong, Hyungu Kahng, Seoung Bum Kim
Meta-D2AG: Causal Graph Learning with Interventional Dynamic Data
Tian Gao, Songtao Lu, Junkyu Lee et al.
Program Synthesis via Test-Time Transduction
Kang-il Lee, Jahyun Koo, Seunghyun Yoon et al.
ISP2HRNet: Learning to Reconstruct High Resolution Image from Irregularly Sampled Pixels via Hierarchical Gradient Learning
Yuanlin Wang, Ruiqin Xiong, Rui Zhao et al.
Understanding and Improving Fast Adversarial Training against $l_0$ Bounded Perturbations
Xuyang Zhong, Yixiao Huang, Chen Liu
NavQ: Learning a Q-Model for Foresighted Vision-and-Language Navigation
Peiran Xu, Xicheng Gong, Yadong Mu
Enhancing Interpretability in Deep Reinforcement Learning through Semantic Clustering
Liang Zhang, Justin Lieffers, Adarsh Pyarelal
Towards a Pairwise Ranking Model with Orderliness and Monotonicity for Label Enhancement
Yunan Lu, Xixi Zhang, Yaojin Lin et al.
ASGS: Single-Domain Generalizable Open-Set Object Detection via Adaptive Subgraph Searching
Yuxuan Yuan, Luyao Tang, Chaoqi Chen et al.
HetSyn: Versatile Timescale Integration in Spiking Neural Networks via Heterogeneous Synapses
Zhichao Deng, Zhikun Liu, Junxue Wang et al.
Motal: Unsupervised 3D Object Detection by Modality and Task-specific Knowledge Transfer
Hai Wu, Hongwei Lin, Xusheng Guo et al.
Metric Automata Theory: A Unifying Theory of RNNs
Adam Dankowiakowski, Alessandro Ronca
PINNs with Learnable Quadrature
Sourav Pal, Kamyar Azizzadenesheli, Vikas Singh
Chebyshev Attention Depth Permutation Texture Network with Latent Texture Attribute Loss
Ravishankar Evani, Deepu Rajan, Shangbo Mao
Coreset for Robust Geometric Median: Eliminating Size Dependency on Outliers
Ziyi Fang, Lingxiao Huang, Runkai Yang
Selftok-Zero: Reinforcement Learning for Visual Generation via Discrete and Autoregressive Visual Tokens
Bohan Wang, Mingze Zhou, Zhongqi Yue et al.
Learning-Augmented Facility Location Mechanisms for the Envy Ratio Objective
Haris Aziz, Yuhang Guo, Alexander Lam et al.
Dataset Distillation of 3D Point Clouds via Distribution Matching
Jae-Young Yim, Dongwook Kim, Jae-Young Sim
Aligning Text-to-Image Diffusion Models to Human Preference by Classification
Longquan Dai, Xiaolu Wei, wang he et al.
Zero-shot Inexact CAD Model Alignment from a Single Image
Pattaramanee Arsomngern, Sasikarn Khwanmuang, Matthias Nießner et al.
PROFIT: A Specialized Optimizer for Deep Fine Tuning
Anirudh Chakravarthy, Shuai Zheng, Xin Huang et al.
MGSfM: Multi-Camera Geometry Driven Global Structure-from-Motion
peilin Tao, Hainan Cui, Diantao Tu et al.
REINFORCE Converges to Optimal Policies with Any Learning Rate
Samuel Robertson, Thang Chu, Bo Dai et al.
Exploring Tradeoffs through Mode Connectivity for Multi-Task Learning
Zhipeng Zhou, Ziqiao Meng, Pengcheng Wu et al.
Energy Landscape-Aware Vision Transformers: Layerwise Dynamics and Adaptive Task-Specific Training via Hopfield States
Runze Xia, Richard Jiang
LLMs' Potential Influences on Our Democracy: Challenges and Opportunities
Yujin Potter, David Rand, Yejin Choi et al.