research
∙
05/22/2023
Neural Functional Transformers
The recent success of neural networks as implicit representation of data...
share
research
∙
02/27/2023
Permutation Equivariant Neural Functionals
This work studies the design of neural networks that can process the wei...
research
∙
07/26/2022
Offline Reinforcement Learning at Multiple Frequencies
Leveraging many sources of offline robot data requires grappling with th...
research
∙
03/03/2022
Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning
Action representation is an important yet often overlooked aspect in end...
research
∙
07/20/2021
Neural Abstructions: Abstractions that Support Construction for Grounded Language Learning
Although virtual agents are increasingly situated in environments where ...
research
∙
12/03/2018
SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection
Domain adaptation of visual detectors is a critical challenge, yet exist...
research
∙
09/06/2018
Object Hallucination in Image Captioning
Despite continuously improving performance, contemporary image captionin...
research
∙
08/28/2018
Evaluating Theory of Mind in Question Answering
We propose a new dataset for evaluating question answering models with r...
research
∙
07/02/2018
Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract)
Most machine learning methods are known to capture and exploit biases of...
research
∙
03/26/2018
