Papers
11,015 papers found
The relativistic discriminator: a key element missing from standard GAN
Alexia Jolicoeur-Martineau
The role of over-parametrization in generalization of neural networks
Behnam Neyshabur, Zhiyuan Li, Srinadh Bhojanapalli et al.
The Singular Values of Convolutional Layers
Hanie Sedghi, Vineet Gupta, Philip M. Long
The Unusual Effectiveness of Averaging in GAN Training
Yasin Yaz{\i}c{\i}, Chuan-Sheng Foo, Stefan Winkler et al.
Three Mechanisms of Weight Decay Regularization
Guodong Zhang, Chaoqi Wang, Bowen Xu et al.
TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer
Sicong Huang, Qiyang Li, Cem Anil et al.
Time-Agnostic Prediction: Predicting Predictable Video Frames
Dinesh Jayaraman, Frederik Ebert, Alexei Efros et al.
Top-Down Neural Model For Formulae
Karel Chvalovský
Towards GAN Benchmarks Which Require Generalization
Ishaan Gulrajani, Colin Raffel, Luke Metz
Towards Metamerism via Foveated Style Transfer
Arturo Deza, Aditya Jonnalagadda, Miguel P. Eckstein
Towards Robust, Locally Linear Deep Networks
Guang-He Lee, David Alvarez-Melis, Tommi S. Jaakkola
Towards the first adversarially robust neural network model on MNIST
Lukas Schott, Jonas Rauber, Matthias Bethge et al.
Towards Understanding Regularization in Batch Normalization
Ping Luo, Xinjiang Wang, Wenqi Shao et al.
Toward Understanding the Impact of Staleness in Distributed Machine Learning
Wei Dai, Yi Zhou, Nanqing Dong et al.
Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability
Kai Y. Xiao, Vincent Tjeng, Nur Muhammad (Mahi) Shafiullah et al.
Transfer Learning for Sequences via Learning to Collocate
Wanyun Cui, Guangyu Zheng, Zhiqiang Shen et al.
Transferring Knowledge across Learning Processes
Sebastian Flennerhag, Pablo G. Moreno, Neil D. Lawrence et al.
Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling
Josue Nassar, Scott Linderman, Monica Bugallo et al.
Trellis Networks for Sequence Modeling
Shaojie Bai, J. Zico Kolter, Vladlen Koltun
Two-Timescale Networks for Nonlinear Value Function Approximation
Wesley Chung, Somjit Nath, Ajin Joseph et al.
Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer
David Berthelot*, Colin Raffel*, Aurko Roy et al.
Understanding Composition of Word Embeddings via Tensor Decomposition
Abraham Frandsen, Rong Ge
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets
Penghang Yin, Jiancheng Lyu, Shuai Zhang et al.
Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions
Zaiyi Chen, Zhuoning Yuan, Jinfeng Yi et al.
Universal Successor Features Approximators
Diana Borsa, Andre Barreto, John Quan et al.