research
∙
02/08/2022
Causal Scene BERT: Improving object detection by searching for challenging groups of data
Modern computer vision applications rely on learning-based perception mo...
share
research
∙
02/01/2021
Self-Supervised Equivariant Scene Synthesis from Video
We propose a self-supervised framework to learn scene representations fr...
research
∙
11/12/2020
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian
Over the last decade, a single algorithm has changed many facets of our ...
research
∙
11/11/2020
Learned Equivariant Rendering without Transformation Supervision
We propose a self-supervised framework to learn scene representations fr...
research
∙
07/01/2020
In-Distribution Interpretability for Challenging Modalities
It is widely recognized that the predictions of deep neural networks are...
research
∙
11/30/2019
Probing the State of the Art: A Critical Look at Visual Representation Evaluation
Self-supervised research improved greatly over the past half decade, wit...
research
∙
10/24/2019
Capacity, Bandwidth, and Compositionality in Emergent Language Learning
Many recent works have discussed the propensity, or lack thereof, for em...
research
∙
09/19/2018
Pommerman: A Multi-Agent Playground
We present Pommerman, a multi-agent environment based on the classic con...
research
∙
07/18/2018
Backplay: "Man muss immer umkehren"
A long-standing problem in model free reinforcement learning (RL) is tha...
research
∙
04/19/2018
Vehicle Community Strategies
Interest in emergent communication has recently surged in Machine Learni...
research
∙
04/19/2018
Vehicle Communication Strategies for Simulated Highway Driving
Interest in emergent communication has recently surged in Machine Learni...
research
∙
04/05/2017
