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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...
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10/22/2022
NeuroMapper: In-browser Visualizer for Neural Network Training
We present our ongoing work NeuroMapper, an in-browser visualization too...
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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...
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04/02/2022
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning
Person tracking using computer vision techniques has wide ranging applic...
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03/30/2022
ConceptEvo: Interpreting Concept Evolution in Deep Learning Training
Deep neural networks (DNNs) have been widely used for decision making, p...
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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 ...
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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...
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01/26/2021
SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models
Skeleton-based human action recognition technologies are increasingly us...
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09/05/2020
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks
Deep neural networks (DNNs) are now commonly used in many domains. Howev...
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04/30/2020
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
Deep learning's great success motivates many practitioners and students ...
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01/21/2020
Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning
Deep neural networks (DNNs) are increasingly powering high-stakes applic...
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01/07/2020
CNN 101: Interactive Visual Learning for Convolutional Neural Networks
The success of deep learning solving previously-thought hard problems ha...
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03/11/2019
GOGGLES: Automatic Training Data Generation with Affinity Coding
Generating large labeled training data is becoming the biggest bottlenec...
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05/30/2018
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio
Adversarial machine learning research has recently demonstrated the feas...
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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...
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05/08/2017