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03/07/2023
TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation
Denoising Diffusion models have demonstrated their proficiency for gener...
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06/08/2021
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
We extend semi-supervised learning to the problem of domain adaptation t...
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03/04/2020
Creating High Resolution Images with a Latent Adversarial Generator
Generating realistic images is difficult, and many formulations for this...
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02/10/2020
Semi-Supervised Class Discovery
One promising approach to dealing with datapoints that are outside of th...
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01/21/2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Semi-supervised learning (SSL) provides an effective means of leveraging...
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12/02/2019
Combining MixMatch and Active Learning for Better Accuracy with Fewer Labels
We propose using active learning based techniques to further improve the...
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11/21/2019
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring
We improve the recently-proposed "MixMatch" semi-supervised learning alg...
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09/03/2019
High-Fidelity Extraction of Neural Network Models
Model extraction allows an adversary to steal a copy of a remotely deplo...
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05/06/2019
MixMatch: A Holistic Approach to Semi-Supervised Learning
Semi-supervised learning has proven to be a powerful paradigm for levera...
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07/19/2018
Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer
Autoencoders provide a powerful framework for learning compressed repres...
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03/31/2017
BEGAN: Boundary Equilibrium Generative Adversarial Networks
We propose a new equilibrium enforcing method paired with a loss derived...
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08/11/2016
