| Deep Learning JP - Part 39

MEMORY OPTIMIZATION FOR DEEP NETWORKS (ICLR’21)

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations (NeurIPS, 2020)

AutoDropout: Learning Dropout Patterns to Regularize Deep Networks

深層強化学習はなぜ難しいのか？Why Deep RL fails? A brief survey of recent works.

Learning Transferable Visual Models From Natural Language Supervision

Toward Fast and Stabilized GAN Training for High- fidelity Few-shot Image Synthesis

【DL輪読会】Toward Fast and Stabilized GAN Training for High- fidelity Few-shot Image Synt more

“Kohn-Sham equations as regularizer building prior knowledge into machine-learned physics”

ViNG: Learning Open-World Navigation with Visual Goals

Explainable Reinforcement Learning: A Survey

Adversarial Counterfactual Learning and Evaluation for Recommender System

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