Machine Learning Categorical Feature Compression via Submodular Optimization (1904.13389v1) MohammadHossein Bateni, Lin Chen, Hossein Esfandiari, Thomas Fu, Vahab S. Mirrokni, Afshin Rostamizadeh 2019-04-30

Machine Learning Unsupervised Data Augmentation (1904.12848v1) Qizhe Xie, Zihang Dai, Eduard Hovy, Minh-Thang Luong, Quoc V. Le 2019-04-29 Despite its success, deep learning still needs large labeled datasets

Machine Learning GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond (1904.11492v1) Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu 2019-04-25 The Non-Local Network (NLNet) presents

Machine Learning GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond (1904.11492v1) Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu 2019-04-25 The Non-Local Network (NLNet) presents

Machine Learning GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond (1904.11492v1) Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu 2019-04-25 The Non-Local Network (NLNet) presents

Machine Learning Low-Rank Tucker Approximation of a Tensor From Streaming Data (1904.10951v1) Yiming Sun, Yang Guo, Charlene Luo, Joel Tropp, Madeleine Udell 2019-04-24 This paper describes a new algorithm

Machine Learning Meta-Learning with Differentiable Convex Optimization (1904.03758v2) Kwonjoon Lee, Subhransu Maji, Avinash Ravichandran, Stefano Soatto 2019-04-07 Many meta-learning approaches for few-shot

Machine Learning Optimization + Abstraction: A Synergistic Approach for Analyzing Neural Network Robustness (1904.09959v1) Greg Anderson, Shankara Pailoor, Isil Dillig, Swarat Chaudhuri 2019-04-22 In recent

Machine Learning Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies (1812.11971v2) Alexander Sax, Bradley Emi, Amir R. Zamir, Leonidas Guibas,

Machine Learning End-to-End Probabilistic Inference for Nonstationary Audio Analysis (1901.11436v3) William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin 2019-01-31 A typical

Machine Learning End-to-End Probabilistic Inference for Nonstationary Audio Analysis (1901.11436v3) William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin 2019-01-31 A typical

Machine Learning Event-based Vision: A Survey (1904.08405v1) Guillermo Gallego, Tobi Delbruck, Garrick Orchard, Chiara Bartolozzi, Brian Taba, Andrea Censi, Stefan Leutenegger, Andrew Davison, Joerg Conradt,

Machine Learning End-to-End Robotic Reinforcement Learning without Reward Engineering (1904.07854v1) Avi Singh, Larry Yang, Kristian Hartikainen, Chelsea Finn, Sergey Levine 2019-04-16 The combination

Machine Learning Tutorial: Safe and Reliable Machine Learning (1904.07204v1) Suchi Saria, Adarsh Subbaswamy 2019-04-15 This document serves as a brief overview of the "Safe and Reliable Machine

Machine Learning Incremental multi-domain learning with network latent tensor factorization (1904.06345v1) Adrian Bulat, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic 2019-04-12 The prominence of

Machine Learning Factor Graph Attention (1904.05880v1) Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander Schwing 2019-04-11 Dialog is an effective way to exchange information, but subtle details and nuances

Machine Learning Factor Graph Attention (1904.05880v1) Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander Schwing 2019-04-11 Dialog is an effective way to exchange information, but subtle details and nuances

Machine Learning Factor Graph Attention (1904.05880v1) Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander Schwing 2019-04-11 Dialog is an effective way to exchange information, but subtle details and nuances

Machine Learning Learning from Videos with Deep Convolutional LSTM Networks (1904.04817v1) Logan Courtney, Ramavarapu Sreenivas 2019-04-09 This paper explores the use of convolution LSTMs to simultaneously

Machine Learning Exploring Randomly Wired Neural Networks for Image Recognition (1904.01569v2) Saining Xie, Alexander Kirillov, Ross Girshick, Kaiming He 2019-04-02 Neural networks for image recognition