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Indicates the beginning of a session

 Wed Dec 09, 2020

Time Poster Session 3
09:00 AM (Posters)
Model Fusion via Optimal Transport Poster Session 3 #291
What if Neural Networks had SVDs? Poster Session 3 #746
Deep Evidential Regression Poster Session 3 #752
Inverse Learning of Symmetries Poster Session 3 #800
Quantized Variational Inference Poster Session 3 #853
Fair Hierarchical Clustering Poster Session 3 #859
Fair Performance Metric Elicitation Poster Session 3 #866
A kernel test for quasi-independence Poster Session 3 #893
Hybrid Models for Learning to Branch Poster Session 3 #901
Adversarial Example Games Poster Session 3 #906
Provably Robust Metric Learning Poster Session 3 #908
Instance Selection for GANs Poster Session 3 #933
Implicit Rank-Minimizing Autoencoder Poster Session 3 #941
Set2Graph: Learning Graphs From Sets Poster Session 3 #943
Deep Statistical Solvers Poster Session 3 #950
AvE: Assistance via Empowerment Poster Session 3 #956
Learning Mutational Semantics Poster Session 3 #971
Teaching a GAN What Not to Learn Poster Session 3 #1017
Neural Power Units Poster Session 3 #1049
Coresets for Near-Convex Functions Poster Session 3 #1089
Joints in Random Forests Poster Session 3 #1093
Adaptive Reduced Rank Regression Poster Session 3 #1096
Rational neural networks Poster Session 3 #1101
Neural Anisotropy Directions Poster Session 3 #1103
Ode to an ODE Poster Session 3 #1104
On the universality of deep learning Poster Session 3 #1112
Spin-Weighted Spherical CNNs Poster Session 3 #1116
Graph Geometry Interaction Learning Poster Session 3 #1121