326 citations · 1k across the 67 of their papers we have counts for
5 papers · 1 filter
TSEB: More Efficient Thompson Sampling for Policy Learning
P. Prasanna, Sarath Chandar, Balaraman Ravindran
In model-based solution approaches to the problem of learning in an unknown environment, exploring to learn the model parameters takes a toll on the regret. The optimal performance…
Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning
Janarthanan Rajendran, Mitesh M. Khapra, Sarath Chandar +1
Recently there has been a lot of interest in learning common representations for multiple views of data. Typically, such common representations are learned using a parallel corpus…
Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources in the same domain
Janarthanan Rajendran, Aravind Srinivas, Mitesh M. Khapra +2
Transferring knowledge from prior source tasks in solving a new target task can be useful in several learning applications. The application of transfer poses two serious challenges…
A Reinforcement Learning Approach to Online Learning of Decision Trees
Abhinav Garlapati, Aditi Raghunathan, Vaishnavh Nagarajan +1
Online decision tree learning algorithms typically examine all features of a new data point to update model parameters. We propose a novel alternative, Reinforcement Learning- base…
Correlational Neural Networks
Sarath Chandar, Mitesh M. Khapra, Hugo Larochelle +1
Common Representation Learning (CRL), wherein different descriptions (or views) of the data are embedded in a common subspace, is receiving a lot of attention recently. Two popular…