5 citations · 10 across the 7 of their papers we have counts for
4 papers · 1 filter
Learning to Relate from Captions and Bounding Boxes
Sarthak Garg, Joel Ruben Antony Moniz, Anshu Aviral +1
In this work, we propose a novel approach that predicts the relationships between various entities in an image in a weakly supervised manner by relying on image captions and object…
Jointly Learning to Align and Translate with Transformer Models
Sarthak Garg, Stephan Peitz, Udhyakumar Nallasamy +1
The state of the art in machine translation (MT) is governed by neural approaches, which typically provide superior translation accuracy over statistical approaches. However, on th…
Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces
Barun Patra, Joel Ruben Antony Moniz, Sarthak Garg +2
Recent work on bilingual lexicon induction (BLI) has frequently depended either on aligned bilingual lexicons or on distribution matching, often with an assumption about the isomet…
Compression and Localization in Reinforcement Learning for ATARI Games
Joel Ruben Antony Moniz, Barun Patra, Sarthak Garg
Deep neural networks have become commonplace in the domain of reinforcement learning, but are often expensive in terms of the number of parameters needed. While compressing deep ne…