| BAE: BERT-based Adversarial Examples for Text Classification S Garg, G Ramakrishnan EMNLP 2020, 2020 | 474 | 2020 |
| TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection S Garg, T Vu, A Moschitti AAAI 2020 (Oral), 2019 | 215 | 2019 |
| Can Adversarial Weight Perturbations Inject Neural Backdoors? S Garg, A Kumar, V Goel, Y Liang CIKM 2020, 2020 | 73 | 2020 |
| Advances in quantum deep learning: An overview S Garg, G Ramakrishnan arXiv preprint arXiv:2005.04316, 2020 | 65 | 2020 |
| Surprisingly easy hard-attention for sequence to sequence learning S Shankar, S Garg, S Sarawagi EMNLP 2018 (Oral), 2018 | 49 | 2018 |
| Functional Regularization for Representation Learning: A Unified Theoretical Perspective S Garg, Y Liang NeurIPS 2020, 2020 | 21 | 2020 |
| Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering S Garg, A Moschitti EMNLP 2021 (Oral), 2021 | 20 | 2021 |
| Towards Robustness to Label Noise in Text Classification via Noise Modeling S Garg, G Ramakrishnan, V Thumbe CIKM 2021, 2021 | 15 | 2021 |
| Pre-training transformer models with sentence-level objectives for answer sentence selection L Di Liello, S Garg, L Soldaini, A Moschitti EMNLP 2022, 2022 | 14 | 2022 |
| An analysis of attentive walk-aggregating graph neural networks MF Demirel, S Liu, S Garg, Y Liang TMLR, 2021 | 12* | 2021 |
| Stochastic Bandits with Delayed Composite Anonymous Feedback S Garg, AK Akash NeurIPS 2019 - Machine Learning with Guarantees, 2019 | 9 | 2019 |
| Paragraph-based Transformer Pre-training for Multi-Sentence Inference L Di Liello, S Garg, L Soldaini, A Moschitti NAACL 2022, 2022 | 8 | 2022 |
| Knowledge Transfer from Answer Ranking to Answer Generation M Gabburo, R Koncel-Kedziorski, S Garg, L Soldaini, A Moschitti EMNLP 2022, 2022 | 6 | 2022 |
| Beyond Fine-tuning: Few-Sample Sentence Embedding Transfer S Garg, RK Sharma, Y Liang AACL-IJCNLP 2020, 2020 | 6* | 2020 |
| Bae: Bert-based adversarial examples for text classification. arXiv 2020 S Garg, G Ramakrishnan arXiv preprint arXiv:2004.01970, 2020 | 6 | 2020 |
| Efficient algorithm for web search query reformulation using genetic algorithm V Singh, S Garg, P Kaur Computational Intelligence in Data Mining—Volume 1: Proceedings of the …, 2016 | 5 | 2016 |
| Learning Answer Generation using Supervision from Automatic Question Answering Evaluators M Gabburo, S Garg, R Koncel-Kedziorski, A Moschitti ACL 2023, 2023 | 3 | 2023 |
| Context-Aware Transformer Pre-Training for Answer Sentence Selection L Di Liello, S Garg, A Moschitti ACL 2023, 2023 | 1 | 2023 |
| Athena 3.0: Personalized Multimodal ChatBot with Neuro-Symbolic Dialogue Generators Y Fan, KK Bowden, W Cui, W Chen, V Harrison, A Ramirez, S Agashe, ... Alexa Prize SocialBot Grand Challenge 5, 0 | 1 | |
| ProMISe: A Proactive Multi-turn Dialogue Dataset for Information-seeking Intent Resolution Y Butala, S Garg, P Banerjee, A Misra Findings of the Association for Computational Linguistics: EACL 2024, 1774-1789, 2024 | | 2024 |
Alessandro MoschittiPrincipal Scientist at Amazon AlexaVerified email at amazon.com
