Asish Ghoshal

According to our database, Asish Ghoshal authored at least 25 papers between 2011 and 2023.

Collaborative distances:

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

2023

CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval.

Minghan Li, Sheng-Chieh Lin, Barlas Oguz, Asish Ghoshal, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Improving Faithfulness of Abstractive Summarization by Controlling Confounding Effect of Irrelevant Sentences.

Asish Ghoshal, Arash Einolghozati, Ankit Arun, Haoran Li, Lili Yu, Yashar Mehdad, Scott Wen-tau Yih, Asli Celikyilmaz

CoRR, 2022

QUASER: Question Answering with Scalable Extractive Rationalization.

Asish Ghoshal, Srinivasan Iyer, Bhargavi Paranjape, Kushal Lakhotia, Scott Wen-tau Yih, Yashar Mehdad

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms.

Yilun Zhou, Adi Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal

CoRR, 2021

Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing.

Asish Ghoshal, Xilun Chen, Sonal Gupta, Luke Zettlemoyer, Yashar Mehdad

Proceedings of the 9th International Conference on Learning Representations, 2021

FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation.

Kushal Lakhotia, Bhargavi Paranjape, Asish Ghoshal, Scott Yih, Yashar Mehdad, Srini Iyer

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms.

Yilun Zhou, Adithya Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing.

Xilun Chen, Asish Ghoshal, Yashar Mehdad, Luke Zettlemoyer, Sonal Gupta

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Minimax Bounds for Structured Prediction Based on Factor Graphs.

Kevin Bello, Asish Ghoshal, Jean Honorio

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Minimax bounds for structured prediction.

Kevin Bello, Asish Ghoshal, Jean Honorio

CoRR, 2019

2018

A Distributed Classifier for MicroRNA Target Prediction with Validation Through TCGA Expression Data.

Asish Ghoshal, Jinyi Zhang, Michael A. Roth, Kevin Muyuan Xia, Ananth Y. Grama, Somali Chaterji

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time.

Asish Ghoshal, Jean Honorio

Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Sparse Polymatrix Games in Polynomial Time and Sample Complexity.

Asish Ghoshal, Jean Honorio

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Learning linear structural equation models in polynomial time and sample complexity.

Asish Ghoshal, Jean Honorio

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Learning Sparse Potential Games in Polynomial Time and Sample Complexity.

Asish Ghoshal, Jean Honorio

CoRR, 2017

Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity.

Asish Ghoshal, Jean Honorio

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning Graphical Games from Behavioral Data: Sufficient and Necessary Conditions.

Asish Ghoshal, Jean Honorio

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Information-theoretic limits of Bayesian network structure learning.

Asish Ghoshal, Jean Honorio

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Information-theoretic lower bounds on learning the structure of Bayesian networks.

Asish Ghoshal, Jean Honorio

CoRR, 2016

Fast training on large genomics data using distributed Support Vector Machines.

Nawanol Theera-Ampornpunt, Seong Gon Kim, Asish Ghoshal, Saurabh Bagchi, Ananth Grama, Somali Chaterji

Proceedings of the 8th International Conference on Communication Systems and Networks, 2016

From behavior to sparse graphical games: Efficient recovery of equilibria.

Asish Ghoshal, Jean Honorio

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015

An ensemble SVM model for the accurate prediction of non-canonical MicroRNA targets.

Asish Ghoshal, Ananth Grama, Saurabh Bagchi, Somali Chaterji

Proceedings of the 6th ACM Conference on Bioinformatics, 2015

2013

Covering space with simple robots: From chains to random trees.

Asish Ghoshal, Dylan A. Shell

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012

Test method for measuring station-keeping with unmanned marine vehicles using sonar or optical sensors.

Asish Ghoshal, Avinash Parnandi, Robin R. Murphy

Proceedings of the Workshop on Performance Metrics for Intelligent Systems, College Park, MD, USA, March 20, 2012

2011

Being There, Being the RRT: Space-Filling and Searching in Place with Minimalist Robots.

Asish Ghoshal, Dylan A. Shell

Proceedings of the Multirobot Systems and Physical Data Structures, 2011