research
∙
11/18/2022
Curiosity in hindsight
Consider the exploration in sparse-reward or reward-free environments, s...
share
research
∙
11/08/2022
Self-conditioned Embedding Diffusion for Text Generation
Can continuous diffusion models bring the same performance breakthrough ...
research
∙
09/30/2022
Emergent Communication: Generalization and Overfitting in Lewis Games
Lewis signaling games are a class of simple communication games for simu...
research
∙
06/16/2022
BYOL-Explore: Exploration by Bootstrapped Prediction
We present BYOL-Explore, a conceptually simple yet general approach for ...
research
∙
10/20/2021
Shaking the foundations: delusions in sequence models for interaction and control
The recent phenomenal success of language models has reinvigorated machi...
research
∙
03/30/2021
Broaden Your Views for Self-Supervised Video Learning
Most successful self-supervised learning methods are trained to align th...
research
∙
02/12/2021
Bootstrapped Representation Learning on Graphs
Current state-of-the-art self-supervised learning methods for graph neur...
research
∙
01/18/2021
Learning Successor States and Goal-Dependent Values: A Mathematical Viewpoint
In reinforcement learning, temporal difference-based algorithms can be s...
research
∙
10/20/2020
BYOL works even without batch statistics
Bootstrap Your Own Latent (BYOL) is a self-supervised learning approach ...
research
∙
06/13/2020
Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
We introduce Bootstrap Your Own Latent (BYOL), a new approach to self-su...
research
∙
01/28/2019
Making Deep Q-learning methods robust to time discretization
Despite remarkable successes, Deep Reinforcement Learning (DRL) is not r...
research
∙
06/19/2018
Mixed batches and symmetric discriminators for GAN training
Generative adversarial networks (GANs) are pow- erful generative models ...
research
∙
03/23/2018
Can recurrent neural networks warp time?
Successful recurrent models such as long short-term memories (LSTMs) and...
research
∙
05/23/2017
Unbiasing Truncated Backpropagation Through Time
Truncated Backpropagation Through Time (truncated BPTT) is a widespread ...
research
∙
02/16/2017
Unbiased Online Recurrent Optimization
The novel Unbiased Online Recurrent Optimization (UORO) algorithm allows...
research
∙
07/28/2015