Papers
11,951 papers found
Improving Generalization and Stability of Generative Adversarial Networks
Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh
Improving MMD-GAN Training with Repulsive Loss Function
Wei Wang, Yuan Sun, Saman Halgamuge
Improving Sequence-to-Sequence Learning via Optimal Transport
Liqun Chen, Yizhe Zhang, Ruiyi Zhang et al.
Improving the Generalization of Adversarial Training with Domain Adaptation
Chuanbiao Song, Kun He, Liwei Wang et al.
InfoBot: Transfer and Exploration via the Information Bottleneck
Anirudh Goyal, Riashat Islam, DJ Strouse et al.
Information asymmetry in KL-regularized RL
Alexandre Galashov, Siddhant M. Jayakumar, Leonard Hasenclever et al.
Information-Directed Exploration for Deep Reinforcement Learning
Nikolay Nikolov, Johannes Kirschner, Felix Berkenkamp et al.
Information Theoretic lower bounds on negative log likelihood
Luis A. Lastras-Montaño
Initialized Equilibrium Propagation for Backprop-Free Training
Peter O'Connor, Efstratios Gavves, Max Welling
InstaGAN: Instance-aware Image-to-Image Translation
Sangwoo Mo, Minsu Cho, Jinwoo Shin
Integer Networks for Data Compression with Latent-Variable Models
Johannes Ballé, Nick Johnston, David Minnen
Interpolation-Prediction Networks for Irregularly Sampled Time Series
Satya Narayan Shukla, Benjamin Marlin
Invariant and Equivariant Graph Networks
Haggai Maron, Heli Ben-Hamu, Nadav Shamir et al.
INVASE: Instance-wise Variable Selection using Neural Networks
Jinsung Yoon, James Jordon, Mihaela van der Schaar
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs
Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak Rao et al.
Kernel Change-point Detection with Auxiliary Deep Generative Models
Wei-Cheng Chang, Chun-Liang Li, Yiming Yang et al.
Kernel RNN Learning (KeRNL)
Christopher Roth, Ingmar Kanitscheider, Ila Fiete
K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning
Pramod Kaushik Mudrakarta, Mark Sandler, Andrey Zhmoginov et al.
KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks
James Jordon, Jinsung Yoon, Mihaela van der Schaar
Knowledge Flow: Improve Upon Your Teachers
Iou-Jen Liu, Jian Peng, Alexander Schwing
L2-Nonexpansive Neural Networks
Haifeng Qian, Mark N. Wegman
Label super-resolution networks
Kolya Malkin, Caleb Robinson, Le Hou et al.
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
Junxian He, Daniel Spokoyny, Graham Neubig et al.