Join Element AI researchers at NeurIPS 2018!

Peter Henderson
Nov 30, 2018 · 4 min read

From Element AI’s research team

Bayesian Model-Agnostic Meta-Learning

TADAM: Task dependent adaptive metric for improved few-shot learning

Improving Explorability in Variational Inference with Annealed Variational Objectives

Workshop articles

An Escape-time Analysis of SGD

Fashion-Gen: The Generative Fashion Dataset and Challenge

RILO: Reinforced Imitation Learning from Observation

Towards Generalization Guarantees for SGD: Data-dependent PC-Bayes Priors

Visual Imitation Learning with Recurrent Siamese Networks

Probabilistic Planning with Sequential Monte Carlo

Advice-Based Exploration in Model-Based Reinforcement Learning

Teaching Multiple Tasks to an RL Agent using LTL (Abridged Report)

Other publications

Towards Deep Conversational Recommendations

Towards Text Generation with Adversarially Learned Neural Outlines

Unsupervised Depth Estimation, 3D Face Rotation and Replacement

Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding

Data-dependent PAC-Bayes Priors via Differential Privacy

Element AI Lab

Scientists and developers at Element AI discuss the state of the art in artificial intelligence research and deployment.

Peter Henderson

Written by

Editor of the Element AI lab blog

Element AI Lab

Scientists and developers at Element AI discuss the state of the art in artificial intelligence research and deployment.