|
Workshop
|
|
Bridging the Microwave Data Gap; Using Bayesian Deep Learning to “See” the Unseen
Pedro Ortiz · Eleanor Casas · Marko Orescanin · Scott Powell
|
|
|
Workshop
|
|
Transfer Learning with Deep Tabular Models
Roman Levin · Valeriia Cherepanova · Avi Schwarzschild · Arpit Bansal · C. Bayan Bruss · Tom Goldstein · Andrew Wilson · Micah Goldblum
|
|
|
Affinity Workshop
|
|
Temporal Cycle Consistency: for a Video-to-Video Translation.
Kirubel Abebe Senbeto
|
|
|
Affinity Workshop
|
|
Topic: Building Identification In Aerial Imagery using Deep learning
Proscovia Nakiranda
|
|
|
Workshop
|
|
Solving Singular Liouville Equations Using Deep Learning
Yuxiang Ji
|
|
|
Workshop
|
|
Variance Reduction in Off-Policy Deep Reinforcement Learning using Spectral Normalization
Payal Bawa · Rafael Oliveira · Fabio Ramos
|
|
|
Poster
|
Thu 9:00
|
Asymptotic Properties for Bayesian Neural Network in Besov Space
Kyeongwon Lee · Jaeyong Lee
|
|
|
Workshop
|
|
Deep Transformer Q-Networks for Partially Observable Reinforcement Learning
Kevin Esslinger · Robert Platt · Christopher Amato
|
|
|
Poster
|
Thu 14:00
|
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress
Rishabh Agarwal · Max Schwarzer · Pablo Samuel Castro · Aaron Courville · Marc Bellemare
|
|
|
Competition
|
Thu 3:50
|
2nd prize CORE: Team meteoai - Super-resolution Rain Probabilistic Prediction based on Satellite and Radar Measurements Using Deep Learning
Haiyu Dong
|
|
|
Workshop
|
|
A study of natural robustness of deep reinforcement learning algorithms towards adversarial perturbations
Qisai Liu · Xian Yeow Lee · Soumik Sarkar
|
|
|
Workshop
|
Sat 10:30
|
Federated Learning for Appearance-based Gaze Estimation in the Wild
Mayar Elfares · Zhiming Hu · Pascal Reisert · Andreas Bulling · Ralf Küsters
|
|
