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04/14/2022
Q-TART: Quickly Training for Adversarial Robustness and in-Transferability
Raw deep neural network (DNN) performance is not enough; in real-world s...
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06/22/2020
Slimming Neural Networks using Adaptive Connectivity Scores
There are two broad approaches to deep neural network (DNN) pruning: 1) ...
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03/18/2020
MINT: Deep Network Compression via Mutual Information-based Neuron Trimming
Most approaches to deep neural network compression via pruning either ev...
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01/13/2020
Rethinking Curriculum Learning with Incremental Labels and Adaptive Compensation
Like humans, deep networks learn better when samples are organized and i...
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10/07/2019
ViP: Video Platform for PyTorch
This work presents the Video Platform for PyTorch (ViP), a deep learning...
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10/02/2019
Geometric Online Adaptation: Graph-Based OSFS for Streaming Samples
Feature selection seeks a curated subset of available features such that...
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04/16/2018
M-PACT: Michigan Platform for Activity Classification in Tensorflow
Action classification is a widely known and popular task that offers an ...
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03/21/2018
T-RECS: Training for Rate-Invariant Embeddings by Controlling Speed for Action Recognition
An action should remain identifiable when modifying its speed: consider ...
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04/12/2016