Siddhant Garg

According to our database, Siddhant Garg authored at least 28 papers between 2010 and 2024.

Collaborative distances:

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

2024

ProMISe: A Proactive Multi-turn Dialogue Dataset for Information-seeking Intent Resolution.

Yash Butala, Siddhant Garg, Pratyay Banerjee, Amita Misra

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

Cross-Shape Attention for Part Segmentation of 3D Point Clouds.

Marios Loizou, Siddhant Garg, Dmitry Petrov, Melinos Averkiou, Evangelos Kalogerakis

Comput. Graph. Forum, August, 2023

Structured Pruning for Multi-Task Deep Neural Networks.

Siddhant Garg, Lijun Zhang, Hui Guan

CoRR, 2023

SQUARE: Automatic Question Answering Evaluation using Multiple Positive and Negative References.

Matteo Gabburo, Siddhant Garg, Rik Koncel-Kedziorski, Alessandro Moschitti

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Context-Aware Transformer Pre-Training for Answer Sentence Selection.

Luca Di Liello, Siddhant Garg, Alessandro Moschitti

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Learning Answer Generation using Supervision from Automatic Question Answering Evaluators.

Matteo Gabburo, Siddhant Garg, Rik Koncel-Kedziorski, Alessandro Moschitti

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

2022

Attentive Walk-Aggregating Graph Neural Networks.

Mehmet Furkan Demirel, Shengchao Liu, Siddhant Garg, Zhenmei Shi, Yingyu Liang

Trans. Mach. Learn. Res., 2022

SeRP: Self-Supervised Representation Learning Using Perturbed Point Clouds.

Siddhant Garg, Mudit Chaudhary

CoRR, 2022

Self-Labeling Refinement for Robust Representation Learning with Bootstrap Your Own Latent.

Siddhant Garg, Dhruval Jain

CoRR, 2022

Paragraph-based Transformer Pre-training for Multi-Sentence Inference.

Luca Di Liello, Siddhant Garg, Luca Soldaini, Alessandro Moschitti

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection.

Luca Di Liello, Siddhant Garg, Luca Soldaini, Alessandro Moschitti

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Knowledge Transfer from Answer Ranking to Answer Generation.

Matteo Gabburo, Rik Koncel-Kedziorski, Siddhant Garg, Luca Soldaini, Alessandro Moschitti

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

An Analysis of Attentive Walk-Aggregating Graph Neural Networks.

Mehmet Furkan Demirel, Shengchao Liu, Siddhant Garg, Yingyu Liang

CoRR, 2021

Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering.

Siddhant Garg, Alessandro Moschitti

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

Towards Robustness to Label Noise in Text Classification via Noise Modeling.

Siddhant Garg, Goutham Ramakrishnan, Varun Thumbe

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

A Simple Approach to Image Tilt Correction with Self-Attention MobileNet for Smartphones.

Siddhant Garg, Debi Prasanna Mohanty, Siva Prasad Thota, Sukumar Moharana

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Advances in Quantum Deep Learning: An Overview.

Siddhant Garg, Goutham Ramakrishnan

CoRR, 2020

SimpleTran: Transferring Pre-Trained Sentence Embeddings for Low Resource Text Classification.

Siddhant Garg, Rohit Kumar Sharma, Yingyu Liang

CoRR, 2020

Functional Regularization for Representation Learning: A Unified Theoretical Perspective.

Siddhant Garg, Yingyu Liang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Beyond Fine-tuning: Few-Sample Sentence Embedding Transfer.

Siddhant Garg, Rohit Kumar Sharma, Yingyu Liang

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

BAE: BERT-based Adversarial Examples for Text Classification.

Siddhant Garg, Goutham Ramakrishnan

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

Can Adversarial Weight Perturbations Inject Neural Backdoors.

Siddhant Garg, Adarsh Kumar, Vibhor Goel, Yingyu Liang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection.

Siddhant Garg, Thuy Vu, Alessandro Moschitti

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Stochastic Bandits with Delayed Composite Anonymous Feedback.

Siddhant Garg, Aditya Kumar Akash

CoRR, 2019

Data Ordering Patterns for Neural Machine Translation: An Empirical Study.

Siddhant Garg

CoRR, 2019

Interpretable Inference Graphs for Face Recognition.

Siddhant Garg, Goutham Ramakrishnan, Varun Thumbe

Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand, 2019

2018

Surprisingly Easy Hard-Attention for Sequence to Sequence Learning.

Shiv Shankar, Siddhant Garg, Sunita Sarawagi

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2010

An Approach to Identify and Manage Interoperability of Class Diagrams in Visual Paradigm and MagicDraw Tools.

Gaurav Bansal, Deepak Vijayvargiya, Siddhant Garg, Sandeep Kumar Singh

Proceedings of the Contemporary Computing - Third International Conference, 2010