dls-2019 | Deep Learning JP - Part 3

Parity Models: A General Framework for Coding-Based Resilience in ML Inference (SOSP’19)

Generalization of Reinforcement Learners with Working and Episodic Memory

DurIAN: Duration Informed Attention Multimodal Synthesis

Temporal Abstraction in NeurIPS2019

Hessian based-analysis

“Learning to Predict without Looking Ahead: World Models without Forward Prediction” NeurIPS2019

Real-time Attention Based Look-alike Model for Recommender System (KDD2019)

Addressing Failure Prediction by Learning Model Confidence

Training Language GANs from Scratch (NeurIPS 2019)

Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy

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