Papers
21,849 papers found
Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes
Yan Huang, Xiang Li, Yipeng Shen et al.
Achieving Optimal Clustering in Gaussian Mixture Models with Anisotropic Covariance Structures
Xin Chen, Anderson Ye Zhang
Achieving Tractable Minimax Optimal Regret in Average Reward MDPs
Victor Boone, Zihan Zhang
A Closer Look at AUROC and AUPRC under Class Imbalance
Matthew B. McDermott, Haoran Zhang, Lasse Hyldig Hansen et al.
A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning
Yixiong Zou, Shuai Yi, Yuhua Li et al.
A Combinatorial Algorithm for the Semi-Discrete Optimal Transport Problem
Pankaj K. Agarwal, Sharath Raghvendra, Pouyan Shirzadian et al.
A Compositional Atlas for Algebraic Circuits
Benjie Wang, Denis Deratani Mauá, Guy Van den Broeck et al.
A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression
Tin Sum Cheng, Aurelien Lucchi, Anastasis Kratsios et al.
A Concept-Based Explainability Framework for Large Multimodal Models
Jayneel Parekh, Pegah Khayatan, Mustafa Shukor et al.
A Consistency-Aware Spot-Guided Transformer for Versatile and Hierarchical Point Cloud Registration
Renlang Huang, Yufan Tang, Jiming Chen et al.
Acoustic Volume Rendering for Neural Impulse Response Fields
Zitong Lan, Chenhao Zheng, Zhiwei Zheng et al.
A Critical Evaluation of AI Feedback for Aligning Large Language Models
Archit Sharma, Sedrick Keh, Eric Mitchell et al.
A Cross-Domain Benchmark for Active Learning
Thorben Werner, Johannes Burchert, Maximilian Stubbemann et al.
ActAnywhere: Subject-Aware Video Background Generation
Boxiao Pan, Zhan Xu, Chun-Hao Paul Huang et al.
ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation
Dayoung Gong, Suha Kwak, Minsu Cho
ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition
Mohammadreza Salehi, Jae Sung Park, Tanush Yadav et al.
Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning
Harley Wiltzer, Marc G. Bellemare, David Meger et al.
Action Imitation in Common Action Space for Customized Action Image Synthesis
Wang Lin, Jingyuan Chen, Jiaxin Shi et al.
Activating Self-Attention for Multi-Scene Absolute Pose Regression
Miso Lee, Jihwan Kim, Jae-Pil Heo
Activation Map Compression through Tensor Decomposition for Deep Learning
Le-Trung Nguyen, Aël Quélennec, Enzo Tartaglione et al.
Active, anytime-valid risk controlling prediction sets
Ziyu Xu, Nikos Karampatziakis, Paul Mineiro
Active Classification with Few Queries under Misspecification
Vasilis Kontonis, Mingchen Ma, Christos Tzamos
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes
Syrine Belakaria, Benjamin Letham, Janardhan Rao Doppa et al.
Active Learning of General Halfspaces: Label Queries vs Membership Queries
Ilias Diakonikolas, Daniel M. Kane, Mingchen Ma
Active learning of neural population dynamics using two-photon holographic optogenetics
Andrew Wagenmaker, Lu Mi, Marton Rozsa et al.