research
∙
06/09/2023
Value function estimation using conditional diffusion models for control
A fairly reliable trend in deep reinforcement learning is that the perfo...
share
research
∙
03/07/2023
TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation
Denoising Diffusion models have demonstrated their proficiency for gener...
research
∙
07/27/2022
GAUDI: A Neural Architect for Immersive 3D Scene Generation
We introduce GAUDI, a generative model capable of capturing the distribu...
research
∙
07/15/2022
Position Prediction as an Effective Pretraining Strategy
Transformers have gained increasing popularity in a wide range of applic...
research
∙
07/05/2022
Efficient Representation Learning via Adaptive Context Pooling
Self-attention mechanisms model long-range context by using pairwise att...
research
∙
01/28/2022
Efficient Embedding of Semantic Similarity in Control Policies via Entangled Bisimulation
Learning generalizeable policies from visual input in the presence of vi...
research
∙
12/02/2021
Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models
Modeling the world can benefit robot learning by providing a rich traini...
research
∙
09/16/2021
Regularized Training of Nearest Neighbor Language Models
Including memory banks in a natural language processing architecture inc...
research
∙
05/28/2021
An Attention Free Transformer
We introduce Attention Free Transformer (AFT), an efficient variant of T...
research
∙
06/27/2020
On the generalization of learning-based 3D reconstruction
State-of-the-art learning-based monocular 3D reconstruction methods lear...
research
∙
06/18/2020
Set Distribution Networks: a Generative Model for Sets of Images
Images with shared characteristics naturally form sets. For example, in ...
research
∙
10/29/2019
Adversarial Fisher Vectors for Unsupervised Representation Learning
We examine Generative Adversarial Networks (GANs) through the lens of de...
research
∙
05/15/2019
