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Google DeepMind

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Google DeepMind

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Robust Reinforcement Learning via Adversarial training with Langevin Dynamics

Benefiting from Multitask Learning to Improve Single Image Super-Resolution

Deep Models and Shortwave Infrared Information to Detect Face Presentation Attacks

Single-Stage 6D Object Pose Estimation

Self-Supervised Prototypical Transfer Learning for Few-Shot Classification

Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures

Automated Detection Of Highly Aggregated Neurons In Microscopic Images Of Macaque Brain

Geometric Deep Learning for Volumetric Computational Fluid Dynamics

Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images

Design of an Always-On Deep Neural Network-Based 1-mu W Voice Activity Detector Aided With a Customized Software Model for Analog Feature Extraction