Papers
Flow-based Image-to-Image Translation with Feature Disentanglement
Ruho Kondo, Keisuke Kawano, Satoshi Koide et al.
Efficient Rematerialization for Deep Networks
Ravi Kumar, Manish Purohit, Zoya Svitkina et al.
Fully Dynamic Consistent Facility Location
Vincent Cohen-Addad, Niklas Oskar D Hjuler, Nikos Parotsidis et al.
Adaptively Aligned Image Captioning via Adaptive Attention Time
Lun Huang, Wenmin Wang, Yaxian Xia et al.
Discrete Object Generation with Reversible Inductive Construction
Ari Seff, Wenda Zhou, Farhan Damani et al.
Random deep neural networks are biased towards simple functions
Giacomo De Palma, Bobak Kiani, Seth Lloyd
Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models
Yunfei Teng, Wenbo Gao, François Chalus et al.
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control
Armin Lederer, Jonas Umlauft, Sandra Hirche
Zero-shot Knowledge Transfer via Adversarial Belief Matching
Paul Micaelli, Amos J. Storkey
Biases for Emergent Communication in Multi-agent Reinforcement Learning
Tom Eccles, Yoram Bachrach, Guy Lever et al.
A Benchmark for Interpretability Methods in Deep Neural Networks
Sara Hooker, Dumitru Erhan, Pieter-Jan Kindermans et al.
Multivariate Distributionally Robust Convex Regression under Absolute Error Loss
Jose Blanchet, Peter W. Glynn, Jun Yan et al.
GOT: An Optimal Transport framework for Graph comparison
Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia et al.
Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds
Minshuo Chen, Haoming Jiang, Wenjing Liao et al.
Semi-Implicit Graph Variational Auto-Encoders
Arman Hasanzadeh, Ehsan Hajiramezanali, Krishna Narayanan et al.
Transferable Normalization: Towards Improving Transferability of Deep Neural Networks
Ximei Wang, Ying Jin, Mingsheng Long et al.
Unsupervised Meta-Learning for Few-Shot Image Classification
Siavash Khodadadeh, Ladislau Boloni, Mubarak Shah
Classification Accuracy Score for Conditional Generative Models
Suman Ravuri, Oriol Vinyals
Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering
Biwei Huang, Kun Zhang, Pengtao Xie et al.
Stagewise Training Accelerates Convergence of Testing Error Over SGD
Zhuoning Yuan, Yan Yan, Rong Jin et al.
On Tractable Computation of Expected Predictions
Pasha Khosravi, YooJung Choi, Yitao Liang et al.
Robust Multi-agent Counterfactual Prediction
Alexander Peysakhovich, Christian Kroer, Adam Lerer
Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems
Asma Ghandeharioun, Judy Hanwen Shen, Natasha Jaques et al.
Counting the Optimal Solutions in Graphical Models
Radu Marinescu, Rina Dechter