Nilaksh Das | DeepAI

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Li Chen
141 publications
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Judy Hoffman
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Katrin Kirchhoff
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Zijie J. Wang
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23 publications
Fred Hohman
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∙ 05/05/2023

Mask The Bias: Improving Domain-Adaptive Generalization of CTC-based ASR with Internal Language Model Estimation

End-to-end ASR models trained on large amount of data tend to be implici...

0 Nilaksh Das, et al. ∙

∙ 10/22/2022

NeuroMapper: In-browser Visualizer for Neural Network Training

We present our ongoing work NeuroMapper, an in-browser visualization too...

0 Zhiyan Zhou, et al. ∙

∙ 04/05/2022

Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning

As automatic speech recognition (ASR) systems are now being widely deplo...

0 Nilaksh Das, et al. ∙

∙ 04/02/2022

SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning

Person tracking using computer vision techniques has wide ranging applic...

0 Nilaksh Das, et al. ∙

∙ 03/30/2022

ConceptEvo: Interpreting Concept Evolution in Deep Learning Training

Deep neural networks (DNNs) have been widely used for decision making, p...

5 Haekyu Park, et al. ∙

∙ 08/29/2021

NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks

Existing research on making sense of deep neural networks often focuses ...

26 Haekyu Park, et al. ∙

∙ 03/30/2021

EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models

The advent of larger machine learning (ML) models have improved state-of...

0 Omar Shaikh, et al. ∙

∙ 01/26/2021

SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models

Skeleton-based human action recognition technologies are increasingly us...

0 Haekyu Park, et al. ∙

∙ 09/05/2020

Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks

Deep neural networks (DNNs) are now commonly used in many domains. Howev...

0 Nilaksh Das, et al. ∙

∙ 04/30/2020

CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization

Deep learning's great success motivates many practitioners and students ...

60 Zijie J. Wang, et al. ∙

∙ 01/21/2020

Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning

Deep neural networks (DNNs) are increasingly powering high-stakes applic...

33 Nilaksh Das, et al. ∙

∙ 01/07/2020

CNN 101: Interactive Visual Learning for Convolutional Neural Networks

The success of deep learning solving previously-thought hard problems ha...

27 Zijie J. Wang, et al. ∙

∙ 03/11/2019

GOGGLES: Automatic Training Data Generation with Affinity Coding

Generating large labeled training data is becoming the biggest bottlenec...

24 Nilaksh Das, et al. ∙

∙ 05/30/2018

ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio

Adversarial machine learning research has recently demonstrated the feas...

0 Nilaksh Das, et al. ∙

∙ 02/19/2018

Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

The rapidly growing body of research in adversarial machine learning has...

0 Nilaksh Das, et al. ∙

∙ 05/08/2017

Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression

Deep neural networks (DNNs) have achieved great success in solving a var...

0 Nilaksh Das, et al. ∙

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