Shalini Ghosh | DeepAI

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∙ 08/08/2023

FLIRT: Feedback Loop In-context Red Teaming

Warning: this paper contains content that may be inappropriate or offens...

0 Ninareh Mehrabi, et al. ∙

∙ 04/04/2023

Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data

Scaling up weakly-supervised datasets has shown to be highly effective i...

0 Vladislav Lialin, et al. ∙

∙ 01/06/2023

Using External Off-Policy Speech-To-Text Mappings in Contextual End-To-End Automated Speech Recognition

Despite improvements to the generalization performance of automated spee...

0 David M. Chan, et al. ∙

∙ 07/04/2022

Disentangled Action Recognition with Knowledge Bases

Action in video usually involves the interaction of human with objects. ...

10 Zhekun Luo, et al. ∙

∙ 05/19/2022

Content-Context Factorized Representations for Automated Speech Recognition

Deep neural networks have largely demonstrated their ability to perform ...

0 David M. Chan, et al. ∙

∙ 05/13/2022

Unified Modeling of Multi-Domain Multi-Device ASR Systems

Modern Automatic Speech Recognition (ASR) systems often use a portfolio ...

1 Soumyajit Mitra, et al. ∙

∙ 10/12/2021

Multi-Modal Pre-Training for Automated Speech Recognition

Traditionally, research in automated speech recognition has focused on l...

0 David M. Chan, et al. ∙

∙ 06/05/2020

Hierarchical Class-Based Curriculum Loss

Classification algorithms in machine learning often assume a flat label ...

0 Palash Goyal, et al. ∙

∙ 03/07/2020

Cross-modal Learning for Multi-modal Video Categorization

Multi-modal machine learning (ML) models can process data in multiple mo...

0 Palash Goyal, et al. ∙

∙ 02/07/2020

Exploiting Temporal Coherence for Multi-modal Video Categorization

Multimodal ML models can process data in multiple modalities (e.g., vide...

0 Palash Goyal, et al. ∙

∙ 03/26/2019

Efficient Incremental Learning for Mobile Object Detection

Object detection models shipped with camera-equipped mobile devices cann...

8 Dawei Li, et al. ∙

∙ 03/20/2019

Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML

Lifelong learning, the problem of continual learning where tasks arrive ...

20 Jie Zhang, et al. ∙

∙ 03/19/2019

Class-incremental Learning via Deep Model Consolidation

Deep neural networks (DNNs) often suffer from "catastrophic forgetting" ...

12 Junting Zhang, et al. ∙

∙ 02/26/2019

Generative Visual Dialogue System via Adaptive Reasoning and Weighted Likelihood Estimation

The key challenge of generative Visual Dialogue (VD) systems is to respo...

8 Heming Zhang, et al. ∙

∙ 02/15/2019

Generating Natural Language Explanations for Visual Question Answering using Scene Graphs and Visual Attention

In this paper, we present a novel approach for the task of eXplainable Q...

0 Shalini Ghosh, et al. ∙

∙ 02/03/2019

MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression

State-of-the-art deep model compression methods exploit the low-rank app...

12 Jie Zhang, et al. ∙

∙ 01/08/2019

Data Masking with Privacy Guarantees

We study the problem of data release with privacy, where data is made av...

0 Anh T. Pham, et al. ∙

∙ 07/16/2018

Time Series Deinterleaving of DNS Traffic

Stream deinterleaving is an important problem with various applications ...

0 Amir Asiaee, et al. ∙

∙ 05/18/2018

Trusted Neural Networks for Safety-Constrained Autonomous Control

We propose Trusted Neural Network (TNN) models, which are deep neural ne...

0 Shalini Ghosh, et al. ∙

∙ 04/28/2018

A Unified Framework for Domain Adaptation using Metric Learning on Manifolds

We present a novel framework for domain adaptation, whereby both geometr...

0 Sridhar Mahadevan, et al. ∙

∙ 02/19/2016

Contextual LSTM (CLSTM) models for Large scale NLP tasks

Documents exhibit sequential structure at multiple levels of abstraction...

0 Shalini Ghosh, et al. ∙

∙ 07/16/2014

Virus Detection in Multiplexed Nanowire Arrays using Hidden Semi-Markov models

In this paper, we address the problem of real-time detection of viruses ...

0 Shalini Ghosh, et al. ∙

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