61 citations · 112 across the 7 of their papers we have counts for
11 papers
Knowledge Transfer from Answer Ranking to Answer Generation
Matteo Gabburo, Rik Koncel-Kedziorski, Siddhant Garg +2
Recent studies show that Question Answering (QA) based on Answer Sentence Selection (AS2) can be improved by generating an improved answer from the top-k ranked answer sentences (t…
SeRP: Self-Supervised Representation Learning Using Perturbed Point Clouds
Siddhant Garg, Mudit Chaudhary
We present SeRP, a framework for Self-Supervised Learning of 3D point clouds. SeRP consists of encoder-decoder architecture that takes perturbed or corrupted point clouds as inputs…
Self-Labeling Refinement for Robust Representation Learning with Bootstrap Your Own Latent
Siddhant Garg, Dhruval Jain
In this work, we have worked towards two major goals. Firstly, we have investigated the importance of Batch Normalisation (BN) layers in a non-contrastive representation learning f…
Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering
Siddhant Garg, Alessandro Moschitti
In this paper we propose a novel approach towards improving the efficiency of Question Answering (QA) systems by filtering out questions that will not be answered by them. This is…
Can Adversarial Weight Perturbations Inject Neural Backdoors?
Siddhant Garg, Adarsh Kumar, Vibhor Goel +1
Adversarial machine learning has exposed several security hazards of neural models and has become an important research topic in recent times. Thus far, the concept of an "adversar…
Functional Regularization for Representation Learning: A Unified Theoretical Perspective
Siddhant Garg, Yingyu Liang
Unsupervised and self-supervised learning approaches have become a crucial tool to learn representations for downstream prediction tasks. While these approaches are widely used in…