Papers
Learning by Cheating
Dian Chen, Brady Zhou, Vladlen Koltun et al.
S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes
Yuzhe Qin, Rui Chen, Hao Zhu et al.
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation
Kuan Fang, Yuke Zhu, Animesh Garg et al.
On-Policy Robot Imitation Learning from a Converging Supervisor
Ashwin Balakrishna, Brijen Thananjeyan, Jonathan Lee et al.
To Follow or not to Follow: Selective Imitation Learning from Observations
Youngwoon Lee, Edward S. Hu, Zhengyu Yang et al.
Data Efficient Reinforcement Learning for Legged Robots
Yuxiang Yang, Ken Caluwaerts, Atil Iscen et al.
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