Papers
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
A General Framework for Robust Interactive Learning
Ehsan Emamjomeh-Zadeh, David Kempe
Attention is All you Need
Ashish Vaswani, Noam Shazeer, Niki Parmar et al.
Robust Conditional Probabilities
Yoav Wald, Amir Globerson
Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods
Veeranjaneyulu Sadhanala, Yu-Xiang Wang, James L Sharpnack et al.
Mixture-Rank Matrix Approximation for Collaborative Filtering
Dongsheng Li, Chao Chen, Wei Liu et al.
Practical Locally Private Heavy Hitters
Raef Bassily, Kobbi Nissim, Uri Stemmer et al.
The Scaling Limit of High-Dimensional Online Independent Component Analysis
Chuang Wang, Yue Lu
Neural Program Meta-Induction
Jacob Devlin, Rudy R Bunel, Rishabh Singh et al.
Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach
Slobodan Mitrovic, Ilija Bogunovic, Ashkan Norouzi-Fard et al.
Online Prediction with Selfish Experts
Tim Roughgarden, Okke Schrijvers