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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...
share
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05/24/2023
Context-Aware Transformer Pre-Training for Answer Sentence Selection
Answer Sentence Selection (AS2) is a core component for building an accu...
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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...
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04/13/2023
Structured Pruning for Multi-Task Deep Neural Networks
Although multi-task deep neural network (DNN) models have computation an...
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10/23/2022
Knowledge Transfer from Answer Ranking to Answer Generation
Recent studies show that Question Answering (QA) based on Answer Sentenc...
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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...
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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 ...
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05/02/2022
Paragraph-based Transformer Pre-training for Multi-Sentence Inference
Inference tasks such as answer sentence selection (AS2) or fact verifica...
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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...
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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...
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10/06/2021
An Analysis of Attentive Walk-Aggregating Graph Neural Networks
Graph neural networks (GNNs) have been shown to possess strong represent...
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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...
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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...
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08/06/2020
Functional Regularization for Representation Learning: A Unified Theoretical Perspective
Unsupervised and self-supervised learning approaches have become a cruci...
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08/04/2020
Can Adversarial Weight Perturbations Inject Neural Backdoors?
Adversarial machine learning has exposed several security hazards of neu...
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05/08/2020
Advances in Quantum Deep Learning: An Overview
The last few decades have seen significant breakthroughs in the fields o...
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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...
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04/04/2020
BAE: BERT-based Adversarial Examples for Text Classification
Modern text classification models are susceptible to adversarial example...
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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...
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10/02/2019
Stochastic Bandits with Delayed Composite Anonymous Feedback
We explore a novel setting of the Multi-Armed Bandit (MAB) problem inspi...
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09/23/2019