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Papers

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Graph Structure of Neural Networks
Jiaxuan You, Jure Leskovec, Kaiming He et al.
2020 ICML
Growing Action Spaces
Gregory Farquhar, Laura Gustafson, Zeming Lin et al.
2020 ICML
Growing Adaptive Multi-hyperplane Machines
Nemanja Djuric, Zhuang Wang, Slobodan Vucetic
2020 ICML
Haar Graph Pooling
Yu Guang Wang, Ming Li, Zheng Ma et al.
2020 ICML
Hallucinative Topological Memory for Zero-Shot Visual Planning
Kara Liu, Thanard Kurutach, Christine Tung et al.
2020 ICML
2020 ICML
2020 ICML
Healing Products of Gaussian Process Experts
Samuel Cohen, Rendani Mbuvha, Tshilidzi Marwala et al.
2020 ICML
Hierarchical Generation of Molecular Graphs using Structural Motifs
Wengong Jin, Dr.Regina Barzilay, Tommi Jaakkola
2020 ICML
Hierarchically Decoupled Imitation For Morphological Transfer
Donald Hejna, Lerrel Pinto, Pieter Abbeel
2020 ICML
Hierarchical Verification for Adversarial Robustness
Cong Han Lim, Raquel Urtasun, Ersin Yumer
2020 ICML
High-dimensional Robust Mean Estimation via Gradient Descent
Yu Cheng, Ilias Diakonikolas, Rong Ge et al.
2020 ICML
How Good is the Bayes Posterior in Deep Neural Networks Really?
Florian Wenzel, Kevin Roth, Bastiaan Veeling et al.
2020 ICML
How to Solve Fair k-Center in Massive Data Models
Ashish Chiplunkar, Sagar Kale, Sivaramakrishnan Natarajan Ramamoorthy
2020 ICML
How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization
Chris Finlay, Joern-Henrik Jacobsen, Levon Nurbekyan et al.
2020 ICML
Hypernetwork approach to generating point clouds
Przemysław Spurek, Sebastian Winczowski, Jacek Tabor et al.
2020 ICML
Identifying Statistical Bias in Dataset Replication
Logan Engstrom, Andrew Ilyas, Shibani Santurkar et al.
2020 ICML
2020 ICML
Implicit competitive regularization in GANs
Florian Schaefer, Hongkai Zheng, Animashree Anandkumar
2020 ICML
Implicit differentiation of Lasso-type models for hyperparameter optimization
Quentin Bertrand, Quentin Klopfenstein, Mathieu Blondel et al.
2020 ICML