Papers
The Laplacian in RL: Learning Representations with Efficient Approximations
Yifan Wu, George Tucker, Ofir Nachum
A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery
Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk
Adversarial Audio Synthesis
Chris Donahue, Julian McAuley, Miller Puckette
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning
Michael Lutter, Christian Ritter, Jan Peters
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition
Chun-Fu (Richard) Chen, Quanfu Fan, Neil Mallinar et al.
On Computation and Generalization of Generative Adversarial Networks under Spectrum Control
Haoming Jiang, Zhehui Chen, Minshuo Chen et al.
Quasi-hyperbolic momentum and Adam for deep learning
Jerry Ma, Denis Yarats
Deep Frank-Wolfe For Neural Network Optimization
Leonard Berrada, Andrew Zisserman, M. Pawan Kumar
No Training Required: Exploring Random Encoders for Sentence Classification
John Wieting, Douwe Kiela
Measuring and regularizing networks in function space
Ari Benjamin, David Rolnick, Konrad Kording
Learning Finite State Representations of Recurrent Policy Networks
Anurag Koul, Alan Fern, Sam Greydanus
Analyzing Inverse Problems with Invertible Neural Networks
Lynton Ardizzone, Jakob Kruse, Carsten Rother et al.
AutoLoss: Learning Discrete Schedule for Alternate Optimization
Haowen Xu, Hao Zhang, Zhiting Hu et al.
On Self Modulation for Generative Adversarial Networks
Ting Chen, Mario Lucic, Neil Houlsby et al.
Spectral Inference Networks: Unifying Deep and Spectral Learning
David Pfau, Stig Petersen, Ashish Agarwal et al.
How Powerful are Graph Neural Networks?
Keyulu Xu*, Weihua Hu*, Jure Leskovec et al.
Learning Two-layer Neural Networks with Symmetric Inputs
Rong Ge, Rohith Kuditipudi, Zhize Li et al.
Neural Probabilistic Motor Primitives for Humanoid Control
Josh Merel, Leonard Hasenclever, Alexandre Galashov et al.
The Comparative Power of ReLU Networks and Polynomial Kernels in the Presence of Sparse Latent Structure
Frederic Koehler, Andrej Risteski
Phase-Aware Speech Enhancement with Deep Complex U-Net
Hyeong-Seok Choi, Jang-Hyun Kim, Jaesung Huh et al.
Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation
Soochan Lee, Junsoo Ha, Gunhee Kim
Learning Multimodal Graph-to-Graph Translation for Molecule Optimization
Wengong Jin, Kevin Yang, Regina Barzilay et al.
Unsupervised Discovery of Parts, Structure, and Dynamics
Zhenjia Xu*, Zhijian Liu*, Chen Sun et al.
Scalable Unbalanced Optimal Transport using Generative Adversarial Networks
Karren D. Yang, Caroline Uhler
ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks
Mingzhang Yin, Mingyuan Zhou