research
∙
09/07/2023
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation
Fully-test-time adaptation (F-TTA) can mitigate performance loss due to ...
share
research
∙
07/25/2023
How to Scale Your EMA
Preserving training dynamics across batch sizes is an important tool for...
research
∙
07/20/2023
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning
The mechanisms behind the success of multi-view self-supervised learning...
research
∙
06/28/2023
DUET: 2D Structured and Approximately Equivariant Representations
Multiview Self-Supervised Learning (MSSL) is based on learning invarianc...
research
∙
03/11/2023
Stabilizing Transformer Training by Preventing Attention Entropy Collapse
Training stability is of great importance to Transformers. In this work,...
research
∙
10/28/2022
Elastic Weight Consolidation Improves the Robustness of Self-Supervised Learning Methods under Transfer
Self-supervised representation learning (SSL) methods provide an effecti...
research
∙
07/15/2022
Position Prediction as an Effective Pretraining Strategy
Transformers have gained increasing popularity in a wide range of applic...
research
∙
02/27/2022
The Impact of Explanations on Layperson Trust in Artificial Intelligence-Driven Symptom Checker Apps: Experimental Study
To achieve the promoted benefits of an AI symptom checker, laypeople mus...
research
∙
10/01/2021
Stochastic Contrastive Learning
While state-of-the-art contrastive Self-Supervised Learning (SSL) models...
research
∙
10/01/2021
Evaluating the fairness of fine-tuning strategies in self-supervised learning
In this work we examine how fine-tuning impacts the fairness of contrast...
research
∙
10/01/2021
Do Self-Supervised and Supervised Methods Learn Similar Visual Representations?
Despite the success of a number of recent techniques for visual self-sup...
research
∙
07/27/2020
Neural Temporal Point Processes For Modelling Electronic Health Records
The modelling of Electronic Health Records (EHRs) has the potential to d...
research
∙
03/28/2020
Learning medical triage from clinicians using Deep Q-Learning
Medical Triage is of paramount importance to healthcare systems, allowin...
research
∙
10/04/2019
Neural Language Priors
The choice of sentence encoder architecture reflects assumptions about h...
research
∙
04/11/2019
Relational Graph Attention Networks
We investigate Relational Graph Attention Networks, a class of models th...
research
∙
05/09/2018
