341 citations · 677 across the 17 of their papers we have counts for
4 papers · 1 filter
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks
Haekyu Park, Nilaksh Das, Rahul Duggal +4
Existing research on making sense of deep neural networks often focuses on neuron-level interpretation, which may not adequately capture the bigger picture of how concepts are coll…
EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models
Omar Shaikh, Jon Saad-Falcon, Austin P Wright +4
The advent of larger machine learning (ML) models have improved state-of-the-art (SOTA) performance in various modeling tasks, ranging from computer vision to natural language. As…
Best of Both Worlds: Robust Accented Speech Recognition with Adversarial Transfer Learning
Nilaksh Das, Sravan Bodapati, Monica Sunkara +2
Training deep neural networks for automatic speech recognition (ASR) requires large amounts of transcribed speech. This becomes a bottleneck for training robust models for accented…
SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models
Haekyu Park, Zijie J. Wang, Nilaksh Das +4
Skeleton-based human action recognition technologies are increasingly used in video based applications, such as home robotics, healthcare on aging population, and surveillance. How…