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Poster
Mon 1:00 Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning
Dong Bok Lee · Dongchan Min · Seanie Lee · Sung Ju Hwang
Poster
Mon 1:00 What Makes Instance Discrimination Good for Transfer Learning?
Nanxuan Zhao · Zhirong Wu · Rynson W Lau · Stephen Lin
Spotlight
Mon 5:45 Contrastive Divergence Learning is a Time Reversal Adversarial Game
Omer Yair · Tomer Michaeli
Poster
Mon 9:00 Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds
Efthymios Tzinis · Scott Wisdom · Aren Jansen · Shawn Hershey · Tal Remez · Dan Ellis · John Hershey
Poster
Mon 9:00 Training GANs with Stronger Augmentations via Contrastive Discriminator
Jongheon Jeong · Jinwoo Shin
Poster
Mon 9:00 Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models
Siavash Khodadadeh · Sharare Zehtabian · Saeed Vahidian · Weijia Wang · Bill Lin · Ladislau Boloni
Poster
Mon 17:00 Variational Intrinsic Control Revisited
Taehwan Kwon
Poster
Mon 17:00 Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
Junwen Bai · Weiran Wang · Yingbo Zhou · Caiming Xiong
Spotlight
Mon 21:56 Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning
Dong Bok Lee · Dongchan Min · Seanie Lee · Sung Ju Hwang
Poster
Tue 1:00 Learning Incompressible Fluid Dynamics from Scratch - Towards Fast, Differentiable Fluid Models that Generalize
Nils Wandel · Michael Weinmann · Reinhard Klein
Poster
Tue 1:00 Prototypical Contrastive Learning of Unsupervised Representations
Junnan Li · Pan Zhou · Caiming Xiong · Steven Hoi
Poster
Tue 1:00 MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering
Tsung Wei Tsai · Chongxuan Li · Jun Zhu