research
∙
07/24/2023
Boosting Punctuation Restoration with Data Generation and Reinforcement Learning
Punctuation restoration is an important task in automatic speech recogni...
share
research
∙
04/26/2023
Generating Adversarial Examples with Task Oriented Multi-Objective Optimization
Deep learning models, even the-state-of-the-art ones, are highly vulnera...
research
∙
02/27/2022
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training
It is well-known that deep neural networks (DNNs) are susceptible to adv...
research
∙
10/01/2021
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images
While neural symbolic methods demonstrate impressive performance in visu...
research
∙
06/17/2021
Learning to Predict Visual Attributes in the Wild
Visual attributes constitute a large portion of information contained in...
research
∙
11/05/2020
Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering
Interpretability and explainability of deep neural networks are challeng...
research
∙
08/04/2020
Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions
We propose a novel algorithm, named Open-Edit, which is the first attemp...
research
∙
04/07/2020
Context-Aware Group Captioning via Self-Attention and Contrastive Features
While image captioning has progressed rapidly, existing works focus main...
research
∙
06/23/2017
