Papers
Deep Lattice Networks and Partial Monotonic Functions
Seungil You, David Ding, Kevin Canini et al.
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
Xingjian Shi, Zhihan Gao, Leonard Lausen et al.
Deep Learning with Topological Signatures
Christoph Hofer, Roland Kwitt, Marc Niethammer et al.
Deep Mean-Shift Priors for Image Restoration
Siavash Arjomand Bigdeli, Matthias Zwicker, Paolo Favaro et al.
Deep Recurrent Neural Network-Based Identification of Precursor microRNAs
Seunghyun Park, Seonwoo Min, Hyun-Soo Choi et al.
Deep Reinforcement Learning from Human Preferences
Paul F Christiano, Jan Leike, Tom Brown et al.
Deep Sets
Manzil Zaheer, Satwik Kottur, Siamak Ravanbakhsh et al.
Deep Subspace Clustering Networks
Pan Ji, Tong Zhang, Hongdong Li et al.
Deep Supervised Discrete Hashing
Qi Li, Zhenan Sun, Ran He et al.
Deep Voice 2: Multi-Speaker Neural Text-to-Speech
Andrew Gibiansky, Sercan Arik, Gregory Diamos et al.
Deliberation Networks: Sequence Generation Beyond One-Pass Decoding
Yingce Xia, Fei Tian, Lijun Wu et al.
Detrended Partial Cross Correlation for Brain Connectivity Analysis
Jaime Ide, Fábio Cappabianco, Fabio Faria et al.
Differentiable Learning of Logical Rules for Knowledge Base Reasoning
Fan Yang, Zhilin Yang, William W. Cohen
Differentiable Learning of Submodular Models
Josip Djolonga, Andreas Krause
Differentially private Bayesian learning on distributed data
Mikko Heikkilä, Eemil Lagerspetz, Samuel Kaski et al.
Differentially Private Empirical Risk Minimization Revisited: Faster and More General
Di Wang, Minwei Ye, Jinhui Xu
Diffusion Approximations for Online Principal Component Estimation and Global Convergence
Chris Junchi Li, Mengdi Wang, Han Liu et al.
Dilated Recurrent Neural Networks
Shiyu Chang, Yang Zhang, Wei Han et al.
Discovering Potential Correlations via Hypercontractivity
Hyeji Kim, Weihao Gao, Sreeram Kannan et al.
Discriminative State Space Models
Vitaly Kuznetsov, Mehryar Mohri
Distral: Robust multitask reinforcement learning
Yee Teh, Victor Bapst, Wojciech M. Czarnecki et al.
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space
Liwei Wang, Alexander Schwing, Svetlana Lazebnik
Diving into the shallows: a computational perspective on large-scale shallow learning
SIYUAN MA, Mikhail Belkin
Do Deep Neural Networks Suffer from Crowding?
Anna Volokitin, Gemma Roig, Tomaso A Poggio