Yusuke Iwasawa

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deep learning 深層学習 machine learning dl輪読会 icml iclr representation learning adversarial training 機械学習表現学習転移学習 neural networks ニューラルネットワーク nips 敵対的訓練 jsai2018 robotics planning iclr2018 vae nips2017 fairness ドメイン適応 jsai2017 iclr2017 ディープラーニング generative adversarial nets nature deep mind 因果推論 causal structure iclr2016 蒸留 vapnik privileged information 特権情報 dl hacks 輪読 2016 domain adaptation 分散表現 distributed representation nips2015 ladder network nips2014 spl

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Yusuke Iwasawa

JSAI2018 類似度学習を用いた敵対的訓練による特徴表現の検閲

"Universal Planning Networks" and "Composable Planning with Attributes"

ICLR2018参加報告

[DL輪読会] Controllable Invariance through Adversarial Feature Learning” (NIPS2017)

[DL輪読会] “Asymmetric Tri-training for Unsupervised Domain Adaptation (ICML2017)” and Neural Domain Adaptation

JSAI2017：敵対的訓練を利用したドメイン不変な表現の学習

[DL輪読会] Semi-Supervised Knowledge Transfer For Deep Learning From Private Training Data

[DL輪読会] GAN系の研究まとめ (NIPS2016とICLR2016が中心)

[DL輪読会] Hybrid computing using a neural network with dynamic external memory

Paper Reading, "On Causal and Anticausal Learning", ICML-12

Dl hacks輪読: "Unifying distillation and privileged information"

[ICLR2016] 採録論文の個人的まとめ

[DL Hacks] Learning Transferable Features with Deep Adaptation Networks

[Paper Reading] Learning Distributed Representations for Structured Output Prediction

[DL Hacks輪読] Semi-Supervised Learning with Ladder Networks (NIPS2015)

[DL Hacks] Self Paced Learning with Diversity

研究室輪読 Feature Learning for Activity Recognition in Ubiquitous Computing

研究室輪読 Recommending Investors for Crowdfunding Projects

DL Hacks輪読 Semi-supervised Learning with Deep Generative Models