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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...
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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...
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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...
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07/04/2022
Disentangled Action Recognition with Knowledge Bases
Action in video usually involves the interaction of human with objects. ...
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05/19/2022
Content-Context Factorized Representations for Automated Speech Recognition
Deep neural networks have largely demonstrated their ability to perform ...
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05/13/2022
Unified Modeling of Multi-Domain Multi-Device ASR Systems
Modern Automatic Speech Recognition (ASR) systems often use a portfolio ...
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10/12/2021
Multi-Modal Pre-Training for Automated Speech Recognition
Traditionally, research in automated speech recognition has focused on l...
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06/05/2020
Hierarchical Class-Based Curriculum Loss
Classification algorithms in machine learning often assume a flat label ...
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03/07/2020
Cross-modal Learning for Multi-modal Video Categorization
Multi-modal machine learning (ML) models can process data in multiple mo...
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02/07/2020
Exploiting Temporal Coherence for Multi-modal Video Categorization
Multimodal ML models can process data in multiple modalities (e.g., vide...
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03/26/2019
Efficient Incremental Learning for Mobile Object Detection
Object detection models shipped with camera-equipped mobile devices cann...
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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 ...
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03/19/2019
Class-incremental Learning via Deep Model Consolidation
Deep neural networks (DNNs) often suffer from "catastrophic forgetting" ...
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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...
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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...
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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...
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01/08/2019
Data Masking with Privacy Guarantees
We study the problem of data release with privacy, where data is made av...
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07/16/2018
Time Series Deinterleaving of DNS Traffic
Stream deinterleaving is an important problem with various applications ...
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05/18/2018
Trusted Neural Networks for Safety-Constrained Autonomous Control
We propose Trusted Neural Network (TNN) models, which are deep neural ne...
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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...
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02/19/2016
Contextual LSTM (CLSTM) models for Large scale NLP tasks
Documents exhibit sequential structure at multiple levels of abstraction...
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07/16/2014