Papers
Neural Architecture Optimization
Renqian Luo, Fei Tian, Tao Qin et al.
Visual Object Networks: Image Generation with Disentangled 3D Representations
Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang et al.
Implicit Reparameterization Gradients
Mikhail Figurnov, Shakir Mohamed, Andriy Mnih
Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization
Yuanxiang Gao, Li Chen, Baochun Li
SplineNets: Continuous Neural Decision Graphs
Cem Keskin, Shahram Izadi
Banach Wasserstein GAN
Jonas Adler, Sebastian Lunz
Efficient Online Portfolio with Logarithmic Regret
Haipeng Luo, Chen-Yu Wei, Kai Zheng
MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models
Boyuan Pan, Yazheng Yang, Hao Li et al.
Stacked Semantics-Guided Attention Model for Fine-Grained Zero-Shot Learning
yunlong yu, Zhong Ji, Yanwei Fu et al.
Compact Generalized Non-local Network
Kaiyu Yue, Ming Sun, Yuchen Yuan et al.
How Does Batch Normalization Help Optimization?
Shibani Santurkar, Dimitris Tsipras, Andrew Ilyas et al.
Adaptive Methods for Nonconvex Optimization
Manzil Zaheer, Sashank Reddi, Devendra Sachan et al.
Transfer of Value Functions via Variational Methods
Andrea Tirinzoni, Rafael Rodriguez Sanchez, Marcello Restelli
Large-Scale Stochastic Sampling from the Probability Simplex
Jack Baker, Paul Fearnhead, Emily B. Fox et al.
Optimal Algorithms for Non-Smooth Distributed Optimization in Networks
Kevin Scaman, Francis Bach, Sebastien Bubeck et al.
PAC-learning in the presence of adversaries
Daniel Cullina, Arjun Nitin Bhagoji, Prateek Mittal
Neighbourhood Consensus Networks
Ignacio Rocco, Mircea Cimpoi, Relja Arandjelović et al.
Precision and Recall for Time Series
Nesime Tatbul, Tae Jun Lee, Stan Zdonik et al.
Deep Defense: Training DNNs with Improved Adversarial Robustness
Ziang Yan, Yiwen Guo, Changshui Zhang
Learning Compressed Transforms with Low Displacement Rank
Anna Thomas, Albert Gu, Tri Dao et al.
Deep Neural Networks with Box Convolutions
Egor Burkov, Victor Lempitsky
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn, Kelvin Xu, Sergey Levine
The Sparse Manifold Transform
Yubei Chen, Dylan Paiton, Bruno Olshausen
Does mitigating ML's impact disparity require treatment disparity?
Zachary Lipton, Julian McAuley, Alexandra Chouldechova