Papers
Learning with Biased Complementary Labels
Xiyu Yu, Tongliang Liu, Mingming Gong et al.
Learning with Complex Loss Functions and Constraints
Harikrishna Narasimhan
Learning with Latent Language
Jacob Andreas, Dan Klein, Sergey Levine
Learning with Noise-Contrastive Estimation: Easing training by learning to scale
Matthieu Labeau, Alexandre Allauzen
Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification
Max Simchowitz, Horia Mania, Stephen Tu et al.
Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity
Fariborz Salehi, Ehsan Abbasi, Babak Hassibi
Learning with SGD and Random Features
Luigi Carratino, Alessandro Rudi, Lorenzo Rosasco
Learning with Sparse and Biased Feedback for Personal Search
Michael Bendersky, Xuanhui Wang, Marc Najork et al.
Learning Word Embeddings for Data Sparse and Sentiment Rich Data Sets
Prathusha Kameswara Sarma
Learning Word Embeddings for Low-Resource Languages by PU Learning
Chao Jiang, Hsiang-Fu Yu, Cho-Jui Hsieh et al.
Learning Word Embeddings: Unsupervised Methods for Fixed-size Representations of Variable-length Speech Segments
Nils Holzenberger, Mingxing Du, Julien Karadayi et al.
Learning Word Meta-Embeddings by Autoencoding
Danushka Bollegala, Cong Bao
Learning Word Vectors with Linear Constraints: A Matrix Factorization Approach
Wenye Li, Jiawei Zhang, Jianjun Zhou et al.
Learn to Pay Attention
Saumya Jetley, Nicholas A. Lord, Namhoon Lee et al.
Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility
Benjamin Hepp, Debadeepta Dey, Sudipta N. Sinha et al.
Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning
Tom Zahavy, Matan Haroush, Nadav Merlis et al.
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator
Stephen Tu, Benjamin Recht
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning
Benjamin Eysenbach, Shixiang Gu, Julian Ibarz et al.
Left-Right Comparative Recurrent Model for Stereo Matching
Zequn Jie, Pengfei Wang, Yonggen Ling et al.
Legal Judgment Prediction via Topological Learning
Haoxi Zhong, Zhipeng Guo, Cunchao Tu et al.
Legendre Decomposition for Tensors
Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda
LEGO: Learning Edge With Geometry All at Once by Watching Videos
Zhenheng Yang, Peng Wang, Yang Wang et al.