Deep Nueral Networks for YouTube Recommendations
Journal/Conference: GoogleYear(published year): 2016Author: Paul Covington, Jay Adams, Emre SarginSubject: Recommendation, Youtube Deep Nueral Networks for YouTube Recommendations GPT 요약 딥러닝이 어
Category: Paper
SpeakerGAN, Speaker identification with conditional generative adversarial network
Journal/Conference : NeurocomputingYear(published year): 2020Author: Liyang Chen, Yifeng Liu , Wendong Xiao, Yingxue Wang, Haiyong XieSubject: Speaker GAN, Generative Adversarial Network SpeakerG
Multi-Task Learning for Voice Trigger Detection
Journal/Conference : ICASSP IEEEYear(published year): 2020Author: Siddharth Sigtia, Pascal Clark, Rob Haynes, Hywel Richards, John BridleSubject: Multi-Task Learning Summary We start by traini
Multi-Task Learning for Speaker Verification and Voice Trigger Detection
Journal/Conference : ICASSP IEEEYear(published year): 2020Author: Siddharth Sigtia, Erik Marchi, Sachin Kajarekar, Devang Naik, John BridleSubject: Multi-Task Learning Multi-Task Learning for Spe
Deep Embedding Learning for Text-Dependent Speaker Verification
Journal/Conference: InterspeechYear(published year): 2020Author: Peng Zhang, Peng Hu, Xueliang ZhangSubject: Speaker Verification Deep Embedding Learning for Text-Dependent Speaker Verification S
Attention is all you need
Journal/Conference: NIPSYear(published year): 2017Author: Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia PolosukhinSubject: NLP Atte
What is Transformer
Transformer란?트랜스포머(Transformer)는 구글에서 발표한 논문 “Attention is all you need”에 나오는 모델이다. 아래 글은 이 논문 abstract의 일부분이다. The dominant sequence transduction models are based on complex recurrent or convolutio
Improved Training of Wasserstein GANs
Journal/Conference: NIPSYear(published year): 2017Author: Ishaan Gulrajani, Faruk Ahmed, Martín Arjovsky, Vincent Dumoulin, Aaron C. CourvilleSubject: DCGAN, Generative Model Improved Training of
Unsupervised representation learning with deep convolutional generative adversarial networks
Journal/Conference: ICLRYear(published year): 2016Author: Alec Radford, Luke Metz, Soumith ChintalaSubject: DCGAN, Generative Model Unsupervised representation learning with deep convolutional ge
Generative Adversarial Nets
Journal/Conference: NIPSYear(published year): 2014Author: I. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, Yoshua BengioSubject: GAN