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A* Sampling
Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS)
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
Spherical CNNs
On the convergence of ADAM and beyond
A unified architecture for natural language processing: deep neural networks with multitask learning
Delayed Impact of Fair Machine Learning
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Fast Convergence of Regularized Learning in Games
Competitive Distribution Estimation: Why is Good-Turing Good
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