Papers
Compacting, Picking and Growing for Unforgetting Continual Learning
Ching-Yi Hung, Cheng-Hao Tu, Cheng-En Wu et al.
CXPlain: Causal Explanations for Model Interpretation under Uncertainty
Patrick Schwab, Walter Karlen
Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection
Junran Peng, Ming Sun, ZHAO-XIANG ZHANG et al.
Regression Planning Networks
Danfei Xu, Roberto Martín-Martín, De-An Huang et al.
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers
Hadi Salman, Jerry Li, Ilya Razenshteyn et al.
PAC-Bayes under potentially heavy tails
Matthew Holland
Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso
Quentin Bertrand, Mathurin Massias, Alexandre Gramfort et al.
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