Papers
Practical Data-Dependent Metric Compression with Provable Guarantees
Piotr Indyk, Ilya Razenshteyn, Tal Wagner
Ensemble Sampling
Xiuyuan Lu, Benjamin Van Roy
Universal Style Transfer via Feature Transforms
Yijun Li, Chen Fang, Jimei Yang et al.
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
Jason Altschuler, Jonathan Niles-Weed, Philippe Rigollet
Learning to Pivot with Adversarial Networks
Gilles Louppe, Michael Kagan, Kyle Cranmer
SGD Learns the Conjugate Kernel Class of the Network
Amit Daniely
Linear Time Computation of Moments in Sum-Product Networks
Han Zhao, Geoffrey J. Gordon
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net
Anirudh Goyal ALIAS PARTH GOYAL, Nan Rosemary Ke, Surya Ganguli et al.
Contrastive Learning for Image Captioning
Bo Dai, Dahua Lin
Zap Q-Learning
Adithya M Devraj, Sean Meyn
Deep Lattice Networks and Partial Monotonic Functions
Seungil You, David Ding, Kevin Canini et al.
Cortical microcircuits as gated-recurrent neural networks
Rui Costa, Ioannis Alexandros Assael, Brendan Shillingford et al.
The Numerics of GANs
Lars Mescheder, Sebastian Nowozin, Andreas Geiger
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data
Joel A Tropp, Alp Yurtsever, Madeleine Udell et al.
Hindsight Experience Replay
Marcin Andrychowicz, Filip Wolski, Alex Ray et al.
An Error Detection and Correction Framework for Connectomics
Jonathan Zung, Ignacio Tartavull, Kisuk Lee et al.
Local Aggregative Games
Vikas Garg, Tommi Jaakkola
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
Akash Srivastava, Lazar Valkov, Chris Russell et al.
Approximation and Convergence Properties of Generative Adversarial Learning
Shuang Liu, Olivier Bousquet, Kamalika Chaudhuri
VAE Learning via Stein Variational Gradient Descent
Yuchen Pu, Zhe Gan, Ricardo Henao et al.
Fader Networks:Manipulating Images by Sliding Attributes
Guillaume Lample, Neil Zeghidour, Nicolas Usunier et al.
Task-based End-to-end Model Learning in Stochastic Optimization
Priya Donti, Brandon Amos, J. Zico Kolter
ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games
Yuandong Tian, Qucheng Gong, Wenling Shang et al.
Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee
Alireza Aghasi, Afshin Abdi, Nam Nguyen et al.
Sample and Computationally Efficient Learning Algorithms under S-Concave Distributions
Maria-Florina F Balcan, Hongyang Zhang