research
∙
10/07/2021
Offline RL With Resource Constrained Online Deployment
Offline reinforcement learning is used to train policies in scenarios wh...
share
research
∙
05/04/2021
Representation Learning for Clustering via Building Consensus
In this paper, we focus on deep clustering and unsupervised representati...
research
∙
10/03/2020
Consensus Clustering with Unsupervised Representation Learning
Recent advances in deep clustering and unsupervised representation learn...
research
∙
08/17/2020
Zero Shot Domain Generalization
Standard supervised learning setting assumes that training data and test...
research
∙
03/18/2020
Self-Supervised Contextual Bandits in Computer Vision
Contextual bandits are a common problem faced by machine learning practi...
research
∙
02/18/2020
Data Transformation Insights in Self-supervision with Clustering Tasks
Self-supervision is key to extending use of deep learning for label scar...
research
∙
01/12/2020
Head and Tail Localization of C. elegans
C. elegans is commonly used in neuroscience for behaviour analysis becau...
research
∙
11/15/2019
Label-similarity Curriculum Learning
Curriculum learning can improve neural network training by guiding the o...
research
∙
09/23/2019
PAC Reinforcement Learning without Real-World Feedback
This work studies reinforcement learning in the Sim-to-Real setting, in ...
research
∙
05/24/2019
A Generalization Error Bound for Multi-class Domain Generalization
Domain generalization is the problem of assigning labels to an unlabeled...
research
∙
10/17/2018
Simple Regret Minimization for Contextual Bandits
There are two variants of the classical multi-armed bandit (MAB) problem...
research
∙
07/09/2018
Domain2Vec: Deep Domain Generalization
We address the problem of domain generalization where a decision functio...
research
∙
11/21/2017
Domain Generalization by Marginal Transfer Learning
Domain generalization is the problem of assigning class labels to an unl...
research
∙
05/24/2017