seminar | Deep Learning JP - Part 81

Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data

Reinforcement Learning with Deep Energy-Based Policies

Controllable Text Generation

Multi-Agent Cooperation and the Emergence of (Natural) Language

Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

Variational Dropout Sparsifies Deep Neural Networks

Diet Networks: Thin Parameters for Fat Genomics

Semi-Supervised QA with Generative Domain-Adaptive Nets

Unsupervised Cross-Domain Image Generation

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