Siddhant Garg | DeepAI

AI Chat

Featured Co-authors

Moshe Y. Vardi
92 publications
Alessandro Moschitti
42 publications
Yingyu Liang
38 publications
Luca Soldaini
25 publications
Adarsh Kumar
18 publications
Hui Guan
17 publications
Rik Koncel-Kedziorski
16 publications
Sukumar Moharana
15 publications
Thuy Vu
11 publications
Shengchao Liu
9 publications
Goutham Ramakrishnan
8 publications

∙ 09/21/2023

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

Evaluation of QA systems is very challenging and expensive, with the mos...

0 Matteo Gabburo, et al. ∙

∙ 05/24/2023

Context-Aware Transformer Pre-Training for Answer Sentence Selection

Answer Sentence Selection (AS2) is a core component for building an accu...

0 Luca Di Liello, et al. ∙

∙ 05/24/2023

Learning Answer Generation using Supervision from Automatic Question Answering Evaluators

Recent studies show that sentence-level extractive QA, i.e., based on An...

0 Matteo Gabburo, et al. ∙

∙ 04/13/2023

Structured Pruning for Multi-Task Deep Neural Networks

Although multi-task deep neural network (DNN) models have computation an...

0 Siddhant Garg, et al. ∙

∙ 10/23/2022

Knowledge Transfer from Answer Ranking to Answer Generation

Recent studies show that Question Answering (QA) based on Answer Sentenc...

0 Matteo Gabburo, et al. ∙

∙ 09/13/2022

SeRP: Self-Supervised Representation Learning Using Perturbed Point Clouds

We present SeRP, a framework for Self-Supervised Learning of 3D point cl...

0 Siddhant Garg, et al. ∙

∙ 05/20/2022

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

An important task for designing QA systems is answer sentence selection ...

0 Luca Di Liello, et al. ∙

∙ 05/02/2022

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

Inference tasks such as answer sentence selection (AS2) or fact verifica...

0 Luca Di Liello, et al. ∙

∙ 04/09/2022

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

In this work, we have worked towards two major goals. Firstly, we have i...

0 Siddhant Garg, et al. ∙

∙ 10/31/2021

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

The main contributions of our work are two-fold. First, we present a Sel...

0 Siddhant Garg, et al. ∙

∙ 10/06/2021

An Analysis of Attentive Walk-Aggregating Graph Neural Networks

Graph neural networks (GNNs) have been shown to possess strong represent...

0 Mehmet F. Demirel, et al. ∙

∙ 09/14/2021

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

In this paper we propose a novel approach towards improving the efficien...

0 Siddhant Garg, et al. ∙

∙ 01/27/2021

Towards Robustness to Label Noise in Text Classification via Noise Modeling

Large datasets in NLP suffer from noisy labels, due to erroneous automat...

0 Siddhant Garg, et al. ∙

∙ 08/06/2020

Functional Regularization for Representation Learning: A Unified Theoretical Perspective

Unsupervised and self-supervised learning approaches have become a cruci...

13 Siddhant Garg, et al. ∙

∙ 08/04/2020

Can Adversarial Weight Perturbations Inject Neural Backdoors?

Adversarial machine learning has exposed several security hazards of neu...

13 Siddhant Garg, et al. ∙

∙ 05/08/2020

Advances in Quantum Deep Learning: An Overview

The last few decades have seen significant breakthroughs in the fields o...

0 Siddhant Garg, et al. ∙

∙ 04/10/2020

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

Fine-tuning pre-trained sentence embedding models like BERT has become t...

0 Siddhant Garg, et al. ∙

∙ 04/04/2020

BAE: BERT-based Adversarial Examples for Text Classification

Modern text classification models are susceptible to adversarial example...

0 Siddhant Garg, et al. ∙

∙ 11/11/2019

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

We propose TANDA, an effective technique for fine-tuning pre-trained Tra...

0 Siddhant Garg, et al. ∙

∙ 10/02/2019

Stochastic Bandits with Delayed Composite Anonymous Feedback

We explore a novel setting of the Multi-Armed Bandit (MAB) problem inspi...

0 Siddhant Garg, et al. ∙

∙ 09/23/2019

Data Ordering Patterns for Neural Machine Translation: An Empirical Study

Recent works show that ordering of the training data affects the model p...

0 Siddhant Garg, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world