research
∙
12/01/2022
Task Discovery: Finding the Tasks that Neural Networks Generalize on
When developing deep learning models, we usually decide what task we wan...
share
research
∙
04/04/2022
MultiMAE: Multi-modal Multi-task Masked Autoencoders
We propose a pre-training strategy called Multi-modal Multi-task Masked ...
research
∙
02/07/2022
Simple Control Baselines for Evaluating Transfer Learning
Transfer learning has witnessed remarkable progress in recent years, for...
research
∙
06/15/2021
Mean Embeddings with Test-Time Data Augmentation for Ensembling of Representations
Averaging predictions over a set of models – an ensemble – is widely use...
research
∙
05/01/2019
Semi-Conditional Normalizing Flows for Semi-Supervised Learning
This paper proposes a semi-conditional normalizing flow model for semi-s...
research
∙
10/16/2018
The Deep Weight Prior. Modeling a prior distribution for CNNs using generative models
Bayesian inference is known to provide a general framework for incorpora...
research
∙
02/13/2018