Papers
Learning Perspective Undistortion of Portraits
Yajie Zhao, Zeng Huang, Tianye Li et al.
Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization
Kejing Yin, Dong Qian, William K. Cheung et al.
Learning Plackett-Luce Mixtures from Partial Preferences
Ao Liu, Zhibing Zhao, Chao Liao et al.
Learning Positive Functions with Pseudo Mirror Descent
Yingxiang Yang, Haoxiang Wang, Negar Kiyavash et al.
Learning Problem-Agnostic Speech Representations from Multiple Self-Supervised Tasks
Santiago Pascual, Mirco Ravanelli, Joan Serrà et al.
Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure
Karan Goel, Emma Brunskill
Learning Programmatically Structured Representations with Perceptor Gradients
Svetlin Penkov, Subramanian Ramamoorthy
Learning Programmatic Idioms for Scalable Semantic Parsing
Srinivasan Iyer, Alvin Cheung, Luke Zettlemoyer
Learning Programmatic Idioms for Scalable Semantic Parsing
Srinivasan Iyer, Alvin Cheung, Luke Zettlemoyer
Learning Propagation for Arbitrarily-Structured Data
Sifei Liu, Xueting Li, Varun Jampani et al.
Learning protein sequence embeddings using information from structure
Tristan Bepler, Bonnie Berger
Learning Protein Structure with a Differentiable Simulator
John Ingraham, Adam Riesselman, Chris Sander et al.
Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
Yanhong Zeng, Jianlong Fu, Hongyang Chao et al.
Learning rates for Gaussian mixtures under group action
Victor-Emmanuel Brunel
Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations
M. Asif Rana, Anqi Li, Harish Ravichandar et al.
Learning Recurrent Binary/Ternary Weights
Arash Ardakani, Zhengyun Ji, Sean C. Smithson et al.
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos
Romero Morais, Vuong Le, Truyen Tran et al.
Learning Relational Representations by Analogy using Hierarchical Siamese Networks
Gaetano Rossiello, Alfio Gliozzo, Robert Farrell et al.
Learning Relational Representations with Auto-encoding Logic Programs
Sebastijan Dumancic, Tias Guns, Wannes Meert et al.
Learning Relationships for Multi-View 3D Object Recognition
Ze Yang, Liwei Wang
Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering
Peng Wu, Shujian Huang, Rongxiang Weng et al.
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman, R Devon Hjelm, William Buchwalter
Learning Representations for Time Series Clustering
Qianli Ma, Jiawei Zheng, Sen Li et al.
Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization
Paul Pu Liang, Zhun Liu, Yao-Hung Hubert Tsai et al.