Papers
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting
Rajat Sen, Hsiang-Fu Yu, Inderjit S Dhillon
Deep Supervised Summarization: Algorithm and Application to Learning Instructions
Chengguang Xu, Ehsan Elhamifar
Improving Textual Network Learning with Variational Homophilic Embeddings
Wenlin Wang, Chenyang Tao, Zhe Gan et al.
Splitting Steepest Descent for Growing Neural Architectures
Lemeng Wu, Dilin Wang, Qiang Liu
Fully Neural Network based Model for General Temporal Point Processes
Takahiro Omi, naonori ueda, Kazuyuki Aihara
Function-Space Distributions over Kernels
Gregory Benton, Wesley J Maddox, Jayson Salkey et al.
Equipping Experts/Bandits with Long-term Memory
Kai Zheng, Haipeng Luo, Ilias Diakonikolas et al.
Universal Approximation of Input-Output Maps by Temporal Convolutional Nets
Joshua Hanson, Maxim Raginsky
Personalizing Many Decisions with High-Dimensional Covariates
Nima Hamidi, Mohsen Bayati, Kapil Gupta
DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction
Qiangeng Xu, Weiyue Wang, Duygu Ceylan et al.
A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off
Yaniv Blumenfeld, Dar Gilboa, Daniel Soudry
Policy Continuation with Hindsight Inverse Dynamics
Hao Sun, Zhizhong Li, Xiaotong Liu et al.
Secretary Ranking with Minimal Inversions
Sepehr Assadi, Eric Balkanski, Renato Leme
Singleshot : a scalable Tucker tensor decomposition
Abraham Traore, Maxime Berar, Alain Rakotomamonjy
Recurrent Space-time Graph Neural Networks
Andrei Nicolicioiu, Iulia Duta, Marius Leordeanu
Evaluating Protein Transfer Learning with TAPE
Roshan Rao, Nicholas Bhattacharya, Neil Thomas et al.
Implicit Generation and Modeling with Energy Based Models
Yilun Du, Igor Mordatch
An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors
Joshua Allen, Bolin Ding, Janardhan Kulkarni et al.
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers
Liwei Wu, Shuqing Li, Cho-Jui Hsieh et al.
Unlocking Fairness: a Trade-off Revisited
Michael Wick, swetasudha panda, Jean-Baptiste Tristan
Few-shot Video-to-Video Synthesis
Ting-Chun Wang, Ming-Yu Liu, Andrew Tao et al.
Mining GOLD Samples for Conditional GANs
Sangwoo Mo, Chiheon Kim, Sungwoong Kim et al.
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments
Hugo Caselles-Dupré, Michael Garcia Ortiz, David Filliat
Thompson Sampling for Multinomial Logit Contextual Bandits
Min-hwan Oh, Garud Iyengar