【(TensorFlow)基于Attention的seq2seq学习】’seq2seq - Attention-based sequence to sequence learning' by Alexandre Bérard GitHub: O网页链接
【(NIPS 2016)如何训练对抗生成网络？GAN调试经验与技巧】’How to Train a GAN? Tips and tricks to make GANs work" at NIPS2016' by S Chintala, E Denton, M Arjovsky, M Mathieu GitHub: 网页链接
【深度增强学习研究具体细节】《(NIPS 2016)The Nuts and Bolts of Deep RL Research》John Schulman [OpenAI] O网页链接 云:O网页链接
【对抗样本与对抗性训练】《(NIPS 2016)Adversarial Examples and Adversarial Training》by Ian Goodfellow [OpenAI] O网页链接
【用MXNet实现大规模推荐模型】《Using MXNet for Recommendation Modeling at Scale - YouTube》by Leo Dirac O网页链接 云:O网页链接
《Improved generator objectives for GANs》B Poole, A A. Alemi, J Sohl-Dickstein, A Angelova [Stanford University & Stanford University] (2016) 网页链接
《Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space》A Nguyen, J Yosinski, Y Bengio, A Dosovitskiy, J Clune [University of Wyoming & Geometric Intelligence & Montreal Institute for Learning Algorithms & University of Freiburg] (2016) O网页链接 Home:O网页链接 GitHub:O网页链接
PaperWeekly 第十七期 --- 无监督/半监督 NER OPaperWeekly 第十七期 --- 无监督/半监督 NER
《Towards Information-Seeking Agents》P Bachman, A Sordoni, A Trischler [Maluuba Research] (2016) 网页链接
《Towards better decoding and language model integration in sequence to sequence models》J Chorowski, N Jaitly [Google Brain] (2016) O网页链接
《Dependency Parsing as Head Selection(DENSE)》X Zhang, J Cheng, M Lapata [University of Edinburgh] (2016) O网页链接 GitHub:O网页链接
【neon端到端语音识别】《End-to-end speech recognition with neon | Nervana》by Anthony Ndirango and Tyler Lee O网页链接 ¡查看图片