Papers
21,849 papers found
A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection
Jae-Yong Baek, Yong-Sang Yoo, Seung-Hwan Bae
A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning
Julia Nakhleh, Joseph Shenouda, Robert D. Nowak
An exactly solvable model for emergence and scaling laws in the multitask sparse parity problem
Yoonsoo Nam, Nayara Fonseca, Seok Hyeong Lee et al.
An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations
Weimin Bai, Yifei Wang, Wenzheng Chen et al.
An eye for an ear: zero-shot audio description leveraging an image captioner with audio-visual token distribution matching
Hugo Malard, Michel Olvera, Stéphane Lathuiliere et al.
An Image is Worth 32 Tokens for Reconstruction and Generation
Qihang Yu, Mark Weber, Xueqing Deng et al.
Animal-Bench: Benchmarking Multimodal Video Models for Animal-centric Video Understanding
Yinuo Jing, Ruxu Zhang, Kongming Liang et al.
Animate3D: Animating Any 3D Model with Multi-view Video Diffusion
Yanqin Jiang, Chaohui Yu, Chenjie Cao et al.
An Improved Empirical Fisher Approximation for Natural Gradient Descent
Xiaodong Wu, Wenyi Yu, Chao Zhang et al.
An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models
Yunzhe Hu, Difan Zou, Dong Xu
An Information Theoretic Perspective on Conformal Prediction
Alvaro H.C. Correia, Fabio Valerio Massoli, Christos Louizos et al.
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing
David Perera, Victor Letzelter, Théo Mariotte et al.
An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning
Qian Lin, Zongkai Liu, Danying Mo et al.
A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation
Jer Pelhan, Alan Lukežič, Vitjan Zavrtanik et al.
ANT: Adaptive Noise Schedule for Time Series Diffusion Models
Seunghan Lee, Kibok Lee, Taeyoung Park
Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization
Xiangxin Zhou, Dongyu Xue, Ruizhe Chen et al.
Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss
Paul Krzakala, Junjie Yang, Rémi Flamary et al.
Any2Policy: Learning Visuomotor Policy with Any-Modality
Yichen Zhu, Zhicai Ou, Feifei Feng et al.
AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario
Yuhan Li, Hao Zhou, Wenxiang Shang et al.
AP-Adapter: Improving Generalization of Automatic Prompts on Unseen Text-to-Image Diffusion Models
Yuchen Fu, Zhiwei Jiang, Yuliang Liu et al.
A Pairwise Pseudo-likelihood Approach for Matrix Completion with Informative Missingness
Jiangyuan Li, Jiayi Wang, Raymond K. W. Wong et al.
Apathetic or Empathetic? Evaluating LLMs' Emotional Alignments with Humans
Jen-tse Huang, Man Ho Lam, Eric John Li et al.
APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments
Xin Jin, Qianqian Qiao, Yi Lu et al.
APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs
Felix Koehler, Simon Niedermayr, Rüdiger Westermann et al.