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Papers

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Amortized Monte Carlo Integration
Adam Golinski, Frank Wood, Tom Rainforth
2019 ICML
2019 ICML
Analyzing and Improving Representations with the Soft Nearest Neighbor Loss
Nicholas Frosst, Nicolas Papernot, Geoffrey Hinton
2019 ICML
Analyzing Federated Learning through an Adversarial Lens
Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal et al.
2019 ICML
An Instability in Variational Inference for Topic Models
Behrooz Ghorbani, Hamid Javadi, Andrea Montanari
2019 ICML
2019 ICML
An Investigation of Model-Free Planning
Arthur Guez, Mehdi Mirza, Karol Gregor et al.
2019 ICML
Anomaly Detection With Multiple-Hypotheses Predictions
Duc Tam Nguyen, Zhongyu Lou, Michael Klar et al.
2019 ICML
A Persistent Weisfeiler-Lehman Procedure for Graph Classification
Bastian Rieck, Christian Bock, Karsten Borgwardt
2019 ICML
2019 ICML
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization
Xiaohan Ding, Guiguang Ding, Yuchen Guo et al.
2019 ICML
Area Attention
Yang Li, Lukasz Kaiser, Samy Bengio et al.
2019 ICML
Are Generative Classifiers More Robust to Adversarial Attacks?
Yingzhen Li, John Bradshaw, Yash Sharma
2019 ICML
AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs
Gabriele Abbati, Philippe Wenk, Michael A. Osborne et al.
2019 ICML
A Statistical Investigation of Long Memory in Language and Music
Alexander Greaves-Tunnell, Zaid Harchaoui
2019 ICML
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation
Ahsan Alvi, Binxin Ru, Jan-Peter Calliess et al.
2019 ICML