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11/05/2021
AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family
State-of-the-art results in deep learning have been improving steadily, ...
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11/02/2021
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression
Explicit deep generative models (DGMs), e.g., VAEs and Normalizing Flows...
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02/12/2021
Adversarial Branch Architecture Search for Unsupervised Domain Adaptation
Unsupervised Domain Adaptation (UDA) is a key field in visual recognitio...
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07/24/2020
Self-Supervised Learning Across Domains
Human adaptability relies crucially on learning and merging knowledge fr...
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09/03/2019
MANAS: Multi-Agent Neural Architecture Search
The Neural Architecture Search (NAS) problem is typically formulated as ...
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03/16/2019
Domain Generalization by Solving Jigsaw Puzzles
Human adaptability relies crucially on the ability to learn and merge kn...
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02/13/2019
Learning to see across Domains and Modalities
Deep learning has raised hopes and expectations as a general solution fo...
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05/24/2017
From source to target and back: symmetric bi-directional adaptive GAN
The effectiveness of generative adversarial approaches in producing imag...
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05/05/2017
Bridging between Computer and Robot Vision through Data Augmentation: a Case Study on Object Recognition
Despite the impressive progress brought by deep network in visual object...
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02/21/2017
Just DIAL: DomaIn Alignment Layers for Unsupervised Domain Adaptation
The empirical fact that classifiers, trained on given data collections, ...
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09/30/2016
A deep representation for depth images from synthetic data
Convolutional Neural Networks (CNNs) trained on large scale RGB database...
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11/12/2015
