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02/16/2023
Do We Still Need Clinical Language Models?
Although recent advances in scaling large language models (LLMs) have re...
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11/29/2022
Procedural Image Programs for Representation Learning
Learning image representations using synthetic data allows training neur...
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06/10/2021
Learning to See by Looking at Noise
Current vision systems are trained on huge datasets, and these datasets ...
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03/18/2021
Using latent space regression to analyze and leverage compositionality in GANs
In recent years, Generative Adversarial Networks have become ubiquitous ...
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09/14/2020
Improving Inversion and Generation Diversity in StyleGAN using a Gaussianized Latent Space
Modern Generative Adversarial Networks are capable of creating artificia...
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05/15/2020
Semantic Photo Manipulation with a Generative Image Prior
Despite the recent success of GANs in synthesizing images conditioned on...
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10/24/2019
Seeing What a GAN Cannot Generate
Despite the success of Generative Adversarial Networks (GANs), mode coll...
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09/21/2018
Temporal Interpolation as an Unsupervised Pretraining Task for Optical Flow Estimation
The difficulty of annotating training data is a major obstacle to using ...
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05/24/2018
Adversarial Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
We address the unsupervised learning of several interconnected problems ...
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05/03/2017