Showing 721–740 of 1,000 results
/ Date/ Name
Jun 6, 2019Improving Exploration in Soft-Actor-Critic with Normalizing Flows PoliciesJun 6, 2019Improving Robustness Without Sacrificing Accuracy with Patch Gaussian AugmentationJun 6, 2019Flexibly Fair Representation Learning by DisentanglementJun 6, 2019Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset ShiftJun 5, 2019How to Initialize your Network? Robust Initialization for WeightNorm & ResNetsJun 5, 2019Teaching AI to Explain its Decisions Using Embeddings and Multi-Task LearningJun 3, 2019Episodic Memory in Lifelong Language LearningJun 3, 2019Factor Graph Neural NetworkJun 1, 2019On the Efficiency of Entropic Regularized Algorithms for Optimal TransportMay 30, 2019Wasserstein Style TransferMay 29, 2019Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical MethodologyMay 29, 2019Advantage Amplification in Slowly Evolving Latent-State EnvironmentsMay 29, 2019Uncertainty Based Detection and Relabeling of Noisy Image LabelsMay 29, 2019A Study of BFLOAT16 for Deep Learning TrainingMay 29, 2019Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradientsMay 29, 2019Empirically Measuring Concentration: Fundamental Limits on Intrinsic RobustnessMay 28, 2019ROI Maximization in Stochastic Online Decision-MakingMay 26, 2019Stochastic Gradient Methods with Block Diagonal Matrix AdaptationMay 26, 2019ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol DetectionMay 25, 2019Adversarial Policies: Attacking Deep Reinforcement Learning