Sarthak Garg

According to our database, Sarthak Garg authored at least 9 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Unconditional Scene Graph Generation.

Sarthak Garg, Helisa Dhamo, Azade Farshad, Sabrina Musatian, Nassir Navab, Federico Tombari

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Ensemble Learning Classification for Medical Diagnosis.

Pratyush Lohumi, Sarthak Garg, Taran Pal Singh, Madan Gopal

Proceedings of the 5th International Conference on Computing, Communication and Security, 2020

Efficient Inference For Neural Machine Translation.

Yi-Te Hsu, Sarthak Garg, Yi-Hsiu Liao, Ilya Chatsviorkin

Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2020

2019

Compression and Localization in Reinforcement Learning for ATARI Games.

Joel Ruben Antony Moniz, Barun Patra, Sarthak Garg

CoRR, 2019

Towards a Predictive Energy Model for HPC Runtime Systems Using Supervised Learning.

Gence Ozer, Sarthak Garg, Neda Davoudi, Gabrielle Poerwawinata, Matthias Maiterth, Alessio Netti, Daniele Tafani

Proceedings of the Euro-Par 2019: Parallel Processing Workshops, 2019

Jointly Learning to Align and Translate with Transformer Models.

Sarthak Garg, Stephan Peitz, Udhyakumar Nallasamy, Matthias Paulik

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces.

Barun Patra, Joel Ruben Antony Moniz, Sarthak Garg, Matthew R. Gormley, Graham Neubig

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Learning to Relate from Captions and Bounding Boxes.

Sarthak Garg, Joel Ruben Antony Moniz, Anshu Aviral, Priyatham Bollimpalli

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Empirical Evaluation of Active Learning Techniques for Neural MT.

Xiangkai Zeng, Sarthak Garg, Rajen Chatterjee, Udhyakumar Nallasamy, Matthias Paulik

Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019