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Rewriting a Deep Generative Model
A deep generative model such as a GAN learns to model a rich set of sema...
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Diverse Image Generation via Self-Conditioned GANs
We introduce a simple but effective unsupervised method for generating r...
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Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
Contrastive representation learning has been outstandingly successful in...
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Dataset Distillation
Model distillation aims to distill the knowledge of a complex model into...
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Neural Block Sampling
Efficient Monte Carlo inference often requires manual construction of mo...
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Learning to Synthesize a 4D RGBD Light Field from a Single Image
We present a machine learning algorithm that takes as input a 2D RGB ima...
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