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Siddhant Garg
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2020 – today
- 2024
- [c21]Matteo Gabburo, Nicolaas Paul Jedema, Siddhant Garg, Leonardo F. R. Ribeiro, Alessandro Moschitti:
Measuring Retrieval Complexity in Question Answering Systems. ACL (Findings) 2024: 14636-14650 - [c20]Yash Butala, Siddhant Garg, Pratyay Banerjee, Amita Misra:
ProMISe: A Proactive Multi-turn Dialogue Dataset for Information-seeking Intent Resolution. EACL (Findings) 2024: 1774-1789 - [c19]Siddhant Garg, Lijun Zhang, Hui Guan:
Structured Pruning for Multi-Task Deep Neural Networks. MIPR 2024: 260-266 - [c18]Nilay Patel, Shivashankar Subramanian, Siddhant Garg, Pratyay Banerjee, Amita Misra:
Towards Improved Multi-Source Attribution for Long-Form Answer Generation. NAACL-HLT 2024: 3906-3919 - [i22]Matteo Gabburo, Nicolaas Paul Jedema, Siddhant Garg, Leonardo F. R. Ribeiro, Alessandro Moschitti:
Measuring Retrieval Complexity in Question Answering Systems. CoRR abs/2406.03592 (2024) - 2023
- [j2]Marios Loizou
, Siddhant Garg
Cross-Shape Attention for Part Segmentation of 3D Point Clouds. Comput. Graph. Forum 42(5): i-viii (2023) - [c17]Luca Di Liello, Siddhant Garg, Alessandro Moschitti:
Context-Aware Transformer Pre-Training for Answer Sentence Selection. ACL (2) 2023: 458-468 - [c16]Matteo Gabburo
Learning Answer Generation using Supervision from Automatic Question Answering Evaluators. ACL (1) 2023: 8389-8403 - [c15]Matteo Gabburo, Siddhant Garg, Rik Koncel-Kedziorski, Alessandro Moschitti:
SQUARE: Automatic Question Answering Evaluation using Multiple Positive and Negative References. IJCNLP (2) 2023: 20-28 - [i21]Siddhant Garg, Lijun Zhang, Hui Guan:
Structured Pruning for Multi-Task Deep Neural Networks. CoRR abs/2304.06840 (2023) - [i20]Matteo Gabburo, Siddhant Garg, Rik Koncel-Kedziorski, Alessandro Moschitti:
Learning Answer Generation using Supervision from Automatic Question Answering Evaluators. CoRR abs/2305.15344 (2023) - [i19]Luca Di Liello, Siddhant Garg, Alessandro Moschitti:
Context-Aware Transformer Pre-Training for Answer Sentence Selection. CoRR abs/2305.15358 (2023) - [i18]Matteo Gabburo, Siddhant Garg, Rik Koncel-Kedziorski, Alessandro Moschitti:
SQUARE: Automatic Question Answering Evaluation using Multiple Positive and Negative References. CoRR abs/2309.12250 (2023) - 2022
- [j1]Mehmet Furkan Demirel, Shengchao Liu, Siddhant Garg, Zhenmei Shi, Yingyu Liang:
Attentive Walk-Aggregating Graph Neural Networks. Trans. Mach. Learn. Res. 2022 (2022) - [c14]Matteo Gabburo
Knowledge Transfer from Answer Ranking to Answer Generation. EMNLP 2022: 9481-9495 - [c13]Luca Di Liello, Siddhant Garg, Luca Soldaini, Alessandro Moschitti:
Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection. EMNLP 2022: 11806-11816 - [c12]Luca Di Liello, Siddhant Garg, Luca Soldaini, Alessandro Moschitti:
Paragraph-based Transformer Pre-training for Multi-Sentence Inference. NAACL-HLT 2022: 2521-2531 - [i17]Siddhant Garg, Dhruval Jain:
Self-Labeling Refinement for Robust Representation Learning with Bootstrap Your Own Latent. CoRR abs/2204.04545 (2022) - [i16]Luca Di Liello, Siddhant Garg, Luca Soldaini, Alessandro Moschitti:
Paragraph-based Transformer Pre-training for Multi-Sentence Inference. CoRR abs/2205.01228 (2022) - [i15]Luca Di Liello, Siddhant Garg, Luca Soldaini, Alessandro Moschitti:
Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection. CoRR abs/2205.10455 (2022) - [i14]Siddhant Garg, Mudit Chaudhary:
SeRP: Self-Supervised Representation Learning Using Perturbed Point Clouds. CoRR abs/2209.06067 (2022) - [i13]Matteo Gabburo, Rik Koncel-Kedziorski, Siddhant Garg, Luca Soldaini, Alessandro Moschitti:
Knowledge Transfer from Answer Ranking to Answer Generation. CoRR abs/2210.12865 (2022) - 2021
- [c11]Siddhant Garg, Debi Prasanna Mohanty, Siva Prasad Thota, Sukumar Moharana:
A Simple Approach to Image Tilt Correction with Self-Attention MobileNet for Smartphones. BMVC 2021: 206 - [c10]Siddhant Garg, Goutham Ramakrishnan, Varun Thumbe:
Towards Robustness to Label Noise in Text Classification via Noise Modeling. CIKM 2021: 3024-3028 - [c9]Siddhant Garg, Alessandro Moschitti:
Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering. EMNLP (1) 2021: 7329-7346 - [i12]Siddhant Garg, Goutham Ramakrishnan, Varun Thumbe:
Towards Robustness to Label Noise in Text Classification via Noise Modeling. CoRR abs/2101.11214 (2021) - [i11]Siddhant Garg, Alessandro Moschitti:
Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering. CoRR abs/2109.07009 (2021) - [i10]Mehmet Furkan Demirel, Shengchao Liu, Siddhant Garg, Yingyu Liang:
An Analysis of Attentive Walk-Aggregating Graph Neural Networks. CoRR abs/2110.02667 (2021) - [i9]Siddhant Garg, Debi Prasanna Mohanty, Siva Prasad Thota, Sukumar Moharana:
A Simple Approach to Image Tilt Correction with Self-Attention MobileNet for Smartphones. CoRR abs/2111.00398 (2021) - 2020
- [c8]Siddhant Garg, Thuy Vu, Alessandro Moschitti:
TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection. AAAI 2020: 7780-7788 - [c7]Siddhant Garg, Adarsh Kumar, Vibhor Goel, Yingyu Liang:
Can Adversarial Weight Perturbations Inject Neural Backdoors. CIKM 2020: 2029-2032 - [c6]Siddhant Garg, Goutham Ramakrishnan:
BAE: BERT-based Adversarial Examples for Text Classification. EMNLP (1) 2020: 6174-6181 - [c5]Siddhant Garg, Rohit Kumar Sharma, Yingyu Liang:
Beyond Fine-tuning: Few-Sample Sentence Embedding Transfer. AACL/IJCNLP 2020: 460-469 - [c4]Siddhant Garg, Yingyu Liang:
Functional Regularization for Representation Learning: A Unified Theoretical Perspective. NeurIPS 2020 - [i8]Siddhant Garg, Goutham Ramakrishnan:
BAE: BERT-based Adversarial Examples for Text Classification. CoRR abs/2004.01970 (2020) - [i7]Siddhant Garg, Rohit Kumar Sharma, Yingyu Liang:
SimpleTran: Transferring Pre-Trained Sentence Embeddings for Low Resource Text Classification. CoRR abs/2004.05119 (2020) - [i6]Siddhant Garg, Goutham Ramakrishnan:
Advances in Quantum Deep Learning: An Overview. CoRR abs/2005.04316 (2020) - [i5]Siddhant Garg, Adarsh Kumar, Vibhor Goel, Yingyu Liang:
Can Adversarial Weight Perturbations Inject Neural Backdoors? CoRR abs/2008.01761 (2020) - [i4]Siddhant Garg, Yingyu Liang:
Functional Regularization for Representation Learning: A Unified Theoretical Perspective. CoRR abs/2008.02447 (2020)
2010 – 2019
- 2019
- [c3]Siddhant Garg, Goutham Ramakrishnan, Varun Thumbe:
Interpretable Inference Graphs for Face Recognition. IVCNZ 2019: 1-6 - [i3]Siddhant Garg:
Data Ordering Patterns for Neural Machine Translation: An Empirical Study. CoRR abs/1909.10642 (2019) - [i2]Siddhant Garg, Aditya Kumar Akash:
Stochastic Bandits with Delayed Composite Anonymous Feedback. CoRR abs/1910.01161 (2019) - [i1]Siddhant Garg, Thuy Vu, Alessandro Moschitti:
TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection. CoRR abs/1911.04118 (2019) - 2018
- [c2]Shiv Shankar, Siddhant Garg, Sunita Sarawagi:
Surprisingly Easy Hard-Attention for Sequence to Sequence Learning. EMNLP 2018: 640-645 - 2010
- [c1]Gaurav Bansal, Deepak Vijayvargiya, Siddhant Garg, Sandeep Kumar Singh
An Approach to Identify and Manage Interoperability of Class Diagrams in Visual Paradigm and MagicDraw Tools. IC3 (2) 2010: 142-154
Coauthor Index
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last updated on 2024-10-30 21:33 CET by the dblp team
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