kawanokana | Deep Learning JP - Part 3

AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning

SlowFast Networks for Video Recognition

GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations

Regression Planning Networks

モデルベース強化学習とEnergy Based Model

Small-GAN: Speeding Up GAN Training Using Core-sets

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

Training Language GANs from Scratch (NeurIPS 2019)

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