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Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #65
Flexible Modeling of Diversity with Strongly Log-Concave Distributions
Joshua Robinson · Suvrit Sra · Stefanie Jegelka
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #66
Putting An End to End-to-End: Gradient-Isolated Learning of Representations
Sindy Löwe · Peter O'Connor · Bastiaan Veeling
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #67
Hamiltonian Neural Networks
Samuel Greydanus · Misko Dzamba · Jason Yosinski
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #68
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
Dan Hendrycks · Mantas Mazeika · Saurav Kadavath · Dawn Song
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #69
Learning about an exponential amount of conditional distributions
Mohamed Ishmael Belghazi · Maxime Oquab · David Lopez-Paz
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #70
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules
Shengchao Liu · Mehmet F Demirel · Yingyu Liang
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #71
Outlier Detection and Robust PCA Using a Convex Measure of Innovation
Mostafa Rahmani · Ping Li