Papers
Decoupled Greedy Learning of CNNs
Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
DeepCoDA: personalized interpretability for compositional health data
Thomas Quinn, Dang Nguyen, Santu Rana et al.
Deep Coordination Graphs
Wendelin Boehmer, Vitaly Kurin, Shimon Whiteson
Deep Divergence Learning
Hatice Kubra Cilingir, Rachel Manzelli, Brian Kulis
Deep Gaussian Markov Random Fields
Per Sidén, Fredrik Lindsten
Deep Graph Random Process for Relational-Thinking-Based Speech Recognition
Hengguan Huang, Fuzhao Xue, Hao Wang et al.
Deep Isometric Learning for Visual Recognition
Haozhi Qi, Chong You, Xiaolong Wang et al.
Deep k-NN for Noisy Labels
Dara Bahri, Heinrich Jiang, Maya Gupta
Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks
Marko Vasic, Cameron Chalk, Sarfraz Khurshid et al.
Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions
Sinong Geng, Houssam Nassif, Carlos Manzanares et al.
Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning
Di Chen, Yiwei Bai, Wenting Zhao et al.
Deep Reinforcement Learning with Robust and Smooth Policy
Qianli Shen, Yan Li, Haoming Jiang et al.
Deep Streaming Label Learning
Zhen Wang, Liu Liu, Dacheng Tao
Defense Through Diverse Directions
Christopher Bender, Yang Li, Yifeng Shi et al.
DeltaGrad: Rapid retraining of machine learning models
Yinjun Wu, Edgar Dobriban, Susan Davidson
Description Based Text Classification with Reinforcement Learning
Duo Chai, Wei Wu, Qinghong Han et al.
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths
Yanwei Fu, Chen Liu, Donghao Li et al.
Detecting Out-of-Distribution Examples with Gram Matrices
Chandramouli Shama Sastry, Sageev Oore
Differentiable Likelihoods for Fast Inversion of ’Likelihood-Free’ Dynamical Systems
Hans Kersting, Nicholas Krämer, Martin Schiegg et al.
Differentiable Product Quantization for End-to-End Embedding Compression
Ting Chen, Lala Li, Yizhou Sun
Differentially Private Set Union
Sivakanth Gopi, Pankaj Gulhane, Janardhan Kulkarni et al.
Differentiating through the Fréchet Mean
Aaron Lou, Isay Katsman, Qingxuan Jiang et al.
DINO: Distributed Newton-Type Optimization Method
Rixon Crane, Fred Roosta