Papers
11,955 papers found
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations
Ziyu Jiang, Yinpeng Chen, Mengchen Liu et al.
LDMIC: Learning-based Distributed Multi-view Image Coding
Xinjie Zhang, Jiawei Shao, Jun Zhang
LeakyScatter: A Frequency-Agile Directional Backscatter Network Above 100 GHz
Atsutse Kludze, Yasaman Ghasempour
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection
Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu et al.
Learnable Graph Convolutional Attention Networks
Adrián Javaloy, Pablo Sanchez Martin, Amit Levi et al.
Learned Index with Dynamic $\epsilon$
Daoyuan Chen, Wuchao Li, Yaliang Li et al.
Learning About Progress From Experts
Jake Bruce, Ankit Anand, Bogdan Mazoure et al.
Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward
Zihan Zhou, Animesh Garg
Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering
Liyao Li, Haobo Wang, Liangyu Zha et al.
Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition
Canzhe Zhao, Ruofeng Yang, Baoxiang Wang et al.
Learning Attention from Attention: Efficient Self-Refinement Transformer for Face Super-Resolution
Guanxin Li, Jingang Shi, Yuan Zong et al.
Learning Continuous Normalizing Flows For Faster Convergence To Target Distribution via Ascent Regularizations
Shuangshuang Chen, Sihao Ding, Yiannis Karayiannidis et al.
Learning Controllable Adaptive Simulation for Multi-resolution Physics
Tailin Wu, Takashi Maruyama, Qingqing Zhao et al.
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model
Zhihai Wang, Xijun Li, Jie Wang et al.
Learning differentiable solvers for systems with hard constraints
Geoffrey Négiar, Michael W. Mahoney, Aditi Krishnapriyan
Learning Diffusion Bridges on Constrained Domains
Xingchao Liu, Lemeng Wu, Mao Ye et al.
Learning Domain-Agnostic Representation for Disease Diagnosis
Churan Wang, Jing Li, Xinwei Sun et al.
Learning Fair Graph Representations via Automated Data Augmentations
Hongyi Ling, Zhimeng Jiang, Youzhi Luo et al.
Learning Fast and Slow for Online Time Series Forecasting
Quang Pham, Chenghao Liu, Doyen Sahoo et al.
Learning Group Importance using the Differentiable Hypergeometric Distribution
Thomas M. Sutter, Laura Manduchi, Alain Ryser et al.
Learning Harmonic Molecular Representations on Riemannian Manifold
Yiqun Wang, Yuning Shen, Shi Chen et al.
Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network
Seungwoong Ha, Hawoong Jeong
Learning Hierarchical Protein Representations via Complete 3D Graph Networks
Limei Wang, Haoran Liu, Yi Liu et al.
Learning Human-Compatible Representations for Case-Based Decision Support
Han Liu, Yizhou Tian, Chacha Chen et al.