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Bhasa-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages.
Yash Madhani, Mitesh Khapra, Anoop Kunchukuttan
Appeared in
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), ACL 2023, Toronto, Canada, July 9-14, 2023. (ACL 2023),
pp.816-826, Jul 2023.
IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation Metrics for Indian Languages.
OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages.
Prem Selvaraj, Gokul Nc, Pratyush Kumar, Mitesh Khapra
Appeared in
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022 (ACL 2022),
pp.2114-2133, May 2022.
IndicBART: A Pre-trained Model for Indic Natural Language Generation.
Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons.
Akash Kumar Mohankumar, Mitesh Khapra
Appeared in
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022 (ACL 2022),
pp.8761-8781, May 2022.
Input-specific Attention Subnetworks for Adversarial Detection.
Emil Biju, Anirudh Sriram, Pratyush Kumar, Mitesh Khapra
Appeared in
Findings of the Association for Computational Linguistics: ACL 2022, Dublin, Ireland, May 22-27, 2022. (ACL 2022),
pp.31-44, May 2022.
Towards Building ASR Systems for the Next Billion Users.
Perturbation CheckLists for Evaluating NLG Evaluation Metrics.
Ananya B. Sai, Tanay Dixit, Dev Yashpal Sheth, Sreyas Mohan, Mitesh Khapra
Appeared in
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021 (EMNLP 2021),
pp.7219-7234, Nov 2021.
The Heads Hypothesis: A Unifying Statistical Approach Towards Understanding Multi-Headed Attention in BERT.
Madhura Pande, Aakriti Budhraja, Preksha Nema, Pratyush Kumar, Mitesh Khapra
Appeared in
Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021,
pp.13613-13621, Feb 2021.
A Systematic Evaluation of Object Detection Networks for Scientific Plots.
Pritha Ganguly, Nitesh S. Methani, Mitesh Khapra, Pratyush Kumar
Appeared in
Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021,
pp.1379-1387, Feb 2021.
Joint Transformer/RNN Architecture for Gesture Typing in Indic Languages.
Emil Biju, Anirudh Sriram, Mitesh Khapra, Pratyush Kumar
Appeared in
Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 2020 (COLING 2020),
pp.999-1010, Dec 2020.
Towards Interpreting BERT for Reading Comprehension Based QA.
Sahana Ramnath, Preksha Nema, Deep Sahni, Mitesh Khapra
Appeared in
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020 (EMNLP 2020),
pp.3236-3242, Nov 2020.
On the weak link between importance and prunability of attention heads.
Nitesh Methani, Pritha Ganguly, Mitesh Khapra, Pratyush Kumar
Appeared in
IEEE Winter Conference on Applications of Computer Vision, WACV 2020, Snowmass Village, CO, USA, March 1-5, 2020 (WACV 2020),
pp.1516-1525, Mar 2020.
Improving Dialog Evaluation with a Multi-reference Adversarial Dataset and Large Scale Pretraining.
Efficient Video Classification Using Fewer Frames.
Shweta Bhardwaj, Mukundhan Srinivasan, Mitesh Khapra
Appeared in
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019 (CVPR 2019),
pp.354-363, Jun 2019.
On Knowledge distillation from complex networks for response prediction.
Siddhartha Arora, Mitesh Khapra, Harish Guruprasad
Appeared in
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 1 (Long and Short Papers),
pp.3813-3822, Jun 2019.
Re-Evaluating ADEM: A Deeper Look at Scoring Dialogue Responses.
Ananya B. Sai, Mithun Das Gupta, Mitesh Khapra, Mukundhan Srinivasan
Appeared in
The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019.,
pp.6220-6227, Feb 2019.
Graph Convolutional Network with Sequential Attention for Goal-Oriented Dialogue Systems.
Towards a Better Metric for Evaluating Question Generation Systems.
Preksha Nema, Mitesh Khapra
Appeared in
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018,
pp.3950-3959, Nov 2018.
Towards Exploiting Background Knowledge for Building Conversation Systems.
Nikita Moghe, Siddhartha Arora, Suman Banerjee, Mitesh Khapra
Appeared in
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018,
pp.2322-2332, Nov 2018.
A Dataset for Building Code-Mixed Goal Oriented Conversation Systems.
Suman Banerjee, Nikita Moghe, Siddhartha Arora, Mitesh Khapra
Appeared in
Proceedings of the 27th International Conference on Computational Linguistics, COLING 2018, Santa Fe, New Mexico, USA, August 20-26, 2018 (COLING 2018),
pp.3766-3780, Aug 2018.
ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions.
Soham Parikh, Ananya Sai B, Preksha Nema, Mitesh Khapra
Appeared in
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden. (IJCAI 2018),
pp.4272-4278, Jul 2018.
DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension.
Mitesh Khapra, Amrita Saha, Karthik Sankaranarayanan, Rahul Aralikatte
Appeared in
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, July 15-20, 2018, Volume 1: Long Papers (ACL 2018),
pp.1683-1693, Jul 2018.
I Have Seen Enough: A Teacher Student Network for Video Classification Using Fewer Frames.
Shweta Bhardwaj, Mitesh Khapra
Appeared in
2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2018, Salt Lake City, UT, USA, June 18-22, 2018,
pp.1138-1142, Jun 2018.
A Mixed Hierarchical Attention Based Encoder-Decoder Approach for Standard Table Summarization.
Parag Jain, Anirban Laha, Karthik Sankaranarayanan, Preksha Nema, Mitesh Khapra, Shreyas Shetty M
Appeared in
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT, New Orleans, Louisiana, USA, June 1-6, 2018, Volume 2 (Short Papers),
pp.622-627, Jun 2018.
Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization.
Preksha Nema, Shreyas Shetty M, Parag Jain, Anirban Laha, Karthik Sankaranarayanan, Mitesh Khapra
Appeared in
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2018, New Orleans, Louisiana, USA, June 1-6, 2018, Volume 1 (Long Papers),
pp.1539-1550, Jun 2018.
Learning Disentangled Multimodal Representations for the Fashion Domain.
Amrita Saha, Megha Nawhal, Mitesh Khapra, Vikas C. Raykar
Appeared in
2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018, Lake Tahoe, NV, USA, March 12-15, 2018 (WACV 2018),
pp.557-566, Mar 2018.
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks.
Towards Building Large Scale Multimodal Domain-Aware Conversation Systems.
Amrita Saha, Mitesh Khapra, Karthik Sankaranarayanan
Appeared in
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February 2-7, 2018,
Feb 2018.
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph.