Papers
Multi-relational Poincaré Graph Embeddings
Ivana Balazevic, Carl Allen, Timothy Hospedales
Multiclass Learning from Contradictions
Sauptik Dhar, Vladimir Cherkassky, Mohak Shah
DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters
W. O. K. Asiri Suranga Wijesinghe, Qing Wang
Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters
Alberto Maria Metelli, Amarildo Likmeta, Marcello Restelli
The continuous Bernoulli: fixing a pervasive error in variational autoencoders
Gabriel Loaiza-Ganem, John P. Cunningham
MAVEN: Multi-Agent Variational Exploration
Anuj Mahajan, Tabish Rashid, Mikayel Samvelyan et al.
Constrained deep neural network architecture search for IoT devices accounting for hardware calibration
Florian Scheidegger, Luca Benini, Costas Bekas et al.
Certifying Geometric Robustness of Neural Networks
Mislav Balunovic, Maximilian Baader, Gagandeep Singh et al.
Variational Bayes under Model Misspecification
Yixin Wang, David Blei
High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks
Ruben Villegas, Arkanath Pathak, Harini Kannan et al.
On Adversarial Mixup Resynthesis
Christopher Beckham, Sina Honari, Vikas Verma et al.
Compression with Flows via Local Bits-Back Coding
Jonathan Ho, Evan Lohn, Pieter Abbeel
Adaptive Influence Maximization with Myopic Feedback
Binghui Peng, Wei Chen
Park: An Open Platform for Learning-Augmented Computer Systems
Hongzi Mao, Parimarjan Negi, Akshay Narayan et al.
Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards
Falcon Dai, Matthew Walter
FastSpeech: Fast, Robust and Controllable Text to Speech
Yi Ren, Yangjun Ruan, Xu Tan et al.
On the Utility of Learning about Humans for Human-AI Coordination
Micah Carroll, Rohin Shah, Mark K Ho et al.
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer
Wenzheng Chen, Huan Ling, Jun Gao et al.
A Composable Specification Language for Reinforcement Learning Tasks
Kishor Jothimurugan, Rajeev Alur, Osbert Bastani
Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling
Ming Hou, Jiajia Tang, Jianhai Zhang et al.
Massively scalable Sinkhorn distances via the Nyström method
Jason Altschuler, Francis Bach, Alessandro Rudi et al.
Meta-Learning Representations for Continual Learning
Khurram Javed, Martha White
Adaptive Gradient-Based Meta-Learning Methods
Mikhail Khodak, Maria-Florina F Balcan, Ameet S Talwalkar
Neural Taskonomy: Inferring the Similarity of Task-Derived Representations from Brain Activity
Aria Wang, Michael Tarr, Leila Wehbe