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Oral
Thu Dec 10 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Unsupervised/Probabilistic
Contrastive learning of global and local features for medical image segmentation with limited annotations
In Orals & Spotlights Track 27: Unsupervised/Probabilistic
Krishna Chaitanya · Ertunc Erdil · Neerav Karani · Ender Konukoglu
[ Paper ]
Oral
Thu Dec 10 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Unsupervised/Probabilistic
Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning
In Orals & Spotlights Track 27: Unsupervised/Probabilistic
Jean-Bastien Grill · Florian Strub · Florent Altché · Corentin Tallec · Pierre Richemond · Elena Buchatskaya · Carl Doersch · Bernardo Avila Pires · Daniel (Zhaohan) Guo · Mohammad Gheshlaghi Azar · Bilal Piot · koray kavukcuoglu · Remi Munos · Michal Valko
[ Paper ]
Oral
Thu Dec 10 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Unsupervised/Probabilistic
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows
In Orals & Spotlights Track 27: Unsupervised/Probabilistic
Didrik Nielsen · Priyank Jaini · Emiel Hoogeboom · Ole Winther · Max Welling
[ Paper ]
Break
Thu Dec 10 06:45 AM -- 07:00 AM (PST)
Break
In Orals & Spotlights Track 27: Unsupervised/Probabilistic
Spotlight
Thu Dec 10 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Unsupervised/Probabilistic
Self-Supervised Relational Reasoning for Representation Learning
In Orals & Spotlights Track 27: Unsupervised/Probabilistic
Massimiliano Patacchiola · Amos Storkey
[ Paper ]
Spotlight
Thu Dec 10 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Unsupervised/Probabilistic
Object-Centric Learning with Slot Attention
In Orals & Spotlights Track 27: Unsupervised/Probabilistic
Francesco Locatello · Dirk Weissenborn · Thomas Unterthiner · Aravindh Mahendran · Georg Heigold · Jakob Uszkoreit · Alexey Dosovitskiy · Thomas Kipf
[ Paper ]
Spotlight
Thu Dec 10 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Unsupervised/Probabilistic
Telescoping Density-Ratio Estimation
In Orals & Spotlights Track 27: Unsupervised/Probabilistic
Benjamin Rhodes · Kai Xu · Michael Gutmann
[ Paper ]
Spotlight
Thu Dec 10 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Unsupervised/Probabilistic
Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations
In Orals & Spotlights Track 27: Unsupervised/Probabilistic
Zhe Zeng · Paolo Morettin · Fanqi Yan · Antonio Vergari · Guy Van den Broeck
[ Paper ]
Q&A
Thu Dec 10 07:40 AM -- 07:50 AM (PST)
Joint Q&A for Preceeding Spotlights
In Orals & Spotlights Track 27: Unsupervised/Probabilistic
Spotlight
Thu Dec 10 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Unsupervised/Probabilistic
Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks
In Orals & Spotlights Track 27: Unsupervised/Probabilistic
Alexander Shekhovtsov · Viktor Yanush · Boris Flach
[ Paper ]
Spotlight
Thu Dec 10 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Unsupervised/Probabilistic
Stochastic Normalizing Flows
In Orals & Spotlights Track 27: Unsupervised/Probabilistic
Hao Wu · Jonas Köhler · Frank Noe
[ Paper ]
Spotlight
Thu Dec 10 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Unsupervised/Probabilistic
Generative Neurosymbolic Machines
In Orals & Spotlights Track 27: Unsupervised/Probabilistic
Jindong Jiang · Sungjin Ahn
[ Paper ]
Spotlight
Thu Dec 10 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: Unsupervised/Probabilistic
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks
In Orals & Spotlights Track 27: Unsupervised/Probabilistic
Dennis Wei · Tian Gao · Yue Yu
[ Paper ]
Q&A
Thu Dec 10 08:30 AM -- 08:40 AM (PST)
Joint Q&A for Preceeding Spotlights
In Orals & Spotlights Track 27: Unsupervised/Probabilistic
Break
Thu Dec 10 08:40 AM -- 09:00 AM (PST)
Break
In Orals & Spotlights Track 27: Unsupervised/Probabilistic