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 Thu Dec 10, 2020

Time Poster Session 5
09:00 AM (Posters)
Co-Tuning for Transfer Learning Poster Session 5 #1327
Supervised Contrastive Learning Poster Session 5 #1332
Neuronal Gaussian Process Regression Poster Session 5 #1341
Hierarchical Quantized Autoencoders Poster Session 5 #1360
Stochastic Normalizing Flows Poster Session 5 #1367
Generative Neurosymbolic Machines Poster Session 5 #1368
Critic Regularized Regression Poster Session 5 #1372
Value-driven Hindsight Modelling Poster Session 5 #1375
Training Linear Finite-State Machines Poster Session 5 #1409
Pointer Graph Networks Poster Session 5 #1421
Subgraph Neural Networks Poster Session 5 #1432
Factor Graph Neural Networks Poster Session 5 #1434
Testing Determinantal Point Processes Poster Session 5 #1448
Adversarial Bandits with Corruptions Poster Session 5 #1453
On Regret with Multiple Best Arms Poster Session 5 #1454
Bandit Linear Control Poster Session 5 #1459
Bayesian Pseudocoresets Poster Session 5 #1468
Unbalanced Sobolev Descent Poster Session 5 #1486
The NetHack Learning Environment Poster Session 5 #1500
Munchausen Reinforcement Learning Poster Session 5 #1511
Belief Propagation Neural Networks Poster Session 5 #1521
Factor Graph Grammars Poster Session 5 #1527
Tensor Completion Made Practical Poster Session 5 #1548
Explainable Voting Poster Session 5 #1560
Compositional Explanations of Neurons Poster Session 5 #1592
Telescoping Density-Ratio Estimation Poster Session 5 #1595
On Testing of Samplers Poster Session 5 #1596
Deep Direct Likelihood Knockoffs Poster Session 5 #1598
Bootstrapping neural processes Poster Session 5 #1612
Sparse Learning with CART Poster Session 5 #1613
Depth Uncertainty in Neural Networks Poster Session 5 #1619
The Strong Screening Rule for SLOPE Poster Session 5 #1627
On Power Laws in Deep Ensembles Poster Session 5 #1643
Gibbs Sampling with People Poster Session 5 #1684
Random Walk Graph Neural Networks Poster Session 5 #1715