ICLR 2018 匿名提交论文列表

更新于 2017年10月31日 机器学习
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会议活动 深度学习 视觉 算法 应用 知识工程 资源 自然语言处理 Andrew Mccallum Gan Adversarial Gan Generalization ICLR Lung Cancer Numbers Complex-Valued PDF Yann Lecun Yoshua Bengio 行业动态 会议 机器人 矩阵 迁移学习 强化学习 神经网络 统计 问答系统 信息检索 预测 知识库
「【重磅】深度学习顶会 ICLR 2018 匿名提交论文列表(附pdf下载链接)」【导读】ICLR,全称为「International Conference on Learning Representations」(国际学习表征会议),2013 年才刚刚成立了第一届。这个一年一度的会议虽然今年2017年办到第六届,已经被学术研究者们广泛认可,被认为「深度学习的顶级会议」。这个会议由位列深度学习三大巨头之二的 Yoshua Bengio 和 Yann LeCun 牵头创办。Yoshua Bengio 是蒙特利尔大学教授,深度学习三巨头之一,他领导蒙特利尔大学的人工智能实验室(MILA)进行 AI 技术的学术研究。MILA 是世界上最大的人工智能研究中心之一,与谷歌也有着密切的合作。 Yann LeCun 就自不用提,同为深度学习三巨头之一的他现任 Facebook 人工智能研究院(FAIR)院长、纽约大学教授。作为卷积神经网络之父,他为深度学习的发展和创新作出了重要贡献。ICLR 采用Open Review 评审制度。Open Review 则非常不同,根据规定,所有提交的论文都会公开姓名等信息,并且接受所有同行的评价及提问(open peer review),任何学者都可或匿名或实名地评价论文。而在公开评审结束后,论文作者也能够对论文进行调整和修改。目前 ICLR 的历届所有论文及评审讨论的内容,都完整地保存在 OpenReview.net 上,它也是 ICLR 的官方投稿入口。OpenReview.net 是马萨诸塞大学阿默斯特学院 Andrew McCallum 为 ICLR 2013 牵头创办的一个公开评审系统,秉承公开同行评审、公开发表、公开来源、公开讨论、公开引导、公开推荐、公开 API 及开源等八大原则,得到了 Facebook、Google、NSF 和马萨诸塞大学阿默斯特中心等机构的支持。以下为论文列表:来源:https://openreview.net/group?id=ICLR.cc/2018/Conference专知进行关键词统计信息如下:可以看出 深度学习 神经网络 生成式对抗网络、强化学习、循环神经网络等等是投稿论文热点。论文列表:下载地址:https://openreview.net/pdf/b9ca5077f6a0c9481b172ad051d0bff48f2949c2.pdf下载地址:https://openreview.net/pdf/a3ee124c0cc5f02acc976ae67f563ea632fbe23d.pdf关键词:complex numbers complex-valued neural network multi-layer perceptron architecture下载地址:https://openreview.net/pdf/4127a6a37a17384ef2d001931450550a33b69acd.pdf关键词:Knowledge base embedding下载地址:https://openreview.net/pdf/4e9e3d851b60e8aa75b53c344e0ed3988c5300fa.pdf下载地址:https://openreview.net/pdf/9558215bb47a09abcef80ac65b52474a09da0be1.pdf下载地址:https://openreview.net/pdf/c94761f85f8bdbd8b9c53261e25b4ec0258406e8.pdf关键词:hypergraph representation learning tensors下载地址:https://openreview.net/pdf/53c0248eb3e4d4fff5dd84d97ce5132f5d5861bf.pdf关键词:deep learning complex-valued neural networks下载地址:https://openreview.net/pdf/21bc670e37fcb28f944d33f287f626306b316875.pdf关键词:Deep Learning Neural Networks Information Theory Generative models下载地址:https://openreview.net/pdf/0d736ada7e156b950fdd5eb287d9f95a22d9c54c.pdf关键词:generative models one-shot learning metalearning pixelcnn hierarchical bayesian omniglot下载地址:https://openreview.net/pdf/36668c5f207557f4d40dcb81393774d2f0908266.pdf关键词:action segmentation video labeling temporal networks下载地址:https://openreview.net/pdf/9cb1db4642c01584e6ca3c886e730f3743542a24.pdf关键词:Tensor Decomposition Tensor Networks Stochastic Gradient Descent下载地址:https://openreview.net/pdf/a2f569c8fabb4aa65611d077829bfff2946df00d.pdf关键词:variational autoencoder noise modelling representation learning generative model disentanglement下载地址:https://openreview.net/pdf/62a904438b7296e9a4a604381c06ee828574d98b.pdf关键词:uncertainty estimation deep learning Bayesian learning batch normalization下载地址:https://openreview.net/pdf/ac74faafa0bba2c7808c4d9991b7b711ee064038.pdf关键词:conversation model seq2seq self-play reinforcement learning下载地址:https://openreview.net/pdf/40fc8cdd76f4aba7cb8069509d9e5ddf2523ad35.pdf关键词:Reinforcement Learning Multi-task Learning Curriculum Learning下载地址:https://openreview.net/pdf/7efb4d89e4f175f4cdecd4783b8b5a5d8af797cf.pdf关键词:SVD Latent Dimensions Dimension Reductions Machine Learning下载地址:https://openreview.net/pdf/5a5d920c9b7b9b39015b595683426873a38b3e8b.pdf关键词:reinforcement learning transfer learning下载地址:https://openreview.net/pdf/d18b693b43b8866425b41c5a3ae6e4de9b45658d.pdf关键词:graph neural networks message passing label propagation equivariant representation下载地址:https://openreview.net/pdf/7673e6cf0b07d195633b82c9905e205759f686e9.pdf关键词:somatic mutation variant calling cancer liquid biopsy early detection convolution deep learning machine learning lung cancer error suppression mutect下载地址:https://openreview.net/pdf/3da2a17bf6bec5ff1a8f0dd52c100ceb17694e76.pdf关键词:unsupervised learning representation learning deep learning下载地址:https://openreview.net/pdf/82eaeeca82af695721cc73403066982e93ef60d2.pdf下载地址:https://openreview.net/pdf/f5434c16d9149ba2ecf5dff8e5b5a34dce8e600b.pdf下载地址:https://openreview.net/pdf/bd3b0e1996f51903fe07077607eeae4c2b1bbafd.pdf关键词:VAE Generative Model Vision Natural Language下载地址:https://openreview.net/pdf/3cf45610469af5c3ecdef0638ed8c83937f59c27.pdf关键词:Deep learning model compression下载地址:https://openreview.net/pdf/53e7e6f6b94dca95f61fbed0fcaf988215ad2083.pdf关键词:Reinforcement Learning TD Learning DQN下载地址:https://openreview.net/pdf/424ef3a312b7502cf11a36f4693095fb81db7ecb.pdf关键词:GAN WGAN下载地址:https://openreview.net/pdf/98bba828944f13faf32019e9400c7ce9615e175e.pdf下载地址:https://openreview.net/pdf/efa84800de59a703122ea1f328a6a3c1031e1cfa.pdf关键词:fraternal dropout activity regularization recurrent neural networks RNN LSTM faster convergence下载地址:https://openreview.net/pdf/e58a67feb2152ae4cd53042cbb8762df63757b73.pdf关键词:image captioning representation learning interpretability rnn multimodal vision to language下载地址:https://openreview.net/pdf/0e647e0120fb1714b378c172dbf1934d6c901237.pdf关键词:reinforcement learning pretrained deep learning perception algorithmic下载地址:https://openreview.net/pdf/3aabac9a13b73eaca48e53acec3f071ba9fb96b9.pdf关键词:Adversarial Examples Detection Saliency Model Interpretation下载地址:https://openreview.net/pdf/b7aafb6a6dbb956dea1e53cf9f4a58ec39e9513b.pdf关键词:reinforcement learning hierarchy options inference下载地址:https://openreview.net/pdf/7ff2f7d7dba366ae35b85d4dbac7d2a46c59007e.pdf关键词:VAE Vision Natural Language下载地址:https://openreview.net/pdf/bfd58631af339d8043d30210ba8c2ad9d965cc3e.pdf关键词:Applications Security in Machine Learning Fairness and Security Model Compression下载地址:https://openreview.net/pdf/69170f53ffe9f431f2c54cd1a453add292d356cb.pdf关键词:neural network reinforcement learning natural language processing machine translation alpha-divergence下载地址:https://openreview.net/pdf/4122d80b6740caf9641d8bbc9dc1cf00e2259f51.pdf下载地址:https://openreview.net/pdf/554e41c5738f9a1f35ea2eae5a31bebad2354fe6.pdf关键词:Information Bottleneck Deep Neural Networks下载地址:https://openreview.net/pdf/db367bd113d779803710f2c0b70e6a13fa0e508d.pdf关键词:generative adversarial networks Wasserstein GAN generalization theory下载地址:https://openreview.net/pdf/c8e2421cd23954c4dc741562cc8192c356fd3068.pdf关键词:Deep Learning Robotics Artificial Intelligence Computer Vision下载地址:https://openreview.net/pdf/00e5c4aefc80d0396ee745c032d27e0bccb43079.pdf下载地址:https://openreview.net/pdf/4324fa39868648281fcca9536b21bab92f264995.pdf关键词:Deep Reinforcement Learning Variational Inference Control Robotics下载地址:https://openreview.net/pdf/91cf23f41853ce25a71700dc007240032056772d.pdf关键词:embeddings下载地址:https://openreview.net/pdf/a09f1ca6968a32ebc27f80d50c9cf7afcdeaaca5.pdf下载地址:https://openreview.net/pdf/210160b60e7b9c27d7075e84fb18ad70b9641847.pdf关键词:question answering knowledge graph compositional model semantics下载地址:https://openreview.net/pdf/576e30e63197e5c48e28f9a662cf7d1f7e0a7424.pdf下载地址:https://openreview.net/pdf/6a770d7c95ac938be4c78c7d38abb92a01749769.pdf关键词:Neural Network acceleration Low Precision neural networks.下载地址:https://openreview.net/pdf/8c46133b2c265d251eb6b79476877fd072e2445e.pdf关键词:Security in Machine Learning Information Security Fairness and Privacy下载地址:https://openreview.net/pdf/6b168938dbf6014d12195848c4dc000920a179b3.pdf关键词:GANs transport下载地址:https://openreview.net/pdf/b7c56e1cd66dbf15ef3b4bc4d2aa145c07b24d94.pdf下载地址:https://openreview.net/pdf/6c1f3ff600aabd6e41f45bbef2b086a6595aea5a.pdf关键词:Reinforcement Learning Variational Inference Control下载地址:https://openreview.net/pdf/84a8906ab0166521e2bafc00d0b1a21a077f4f8d.pdf关键词:Deep learning GAN下载地址:https://openreview.net/pdf/0f1ccb61544842755137c3af63c473b6b44b5948.pdf关键词:interpreting convolutional neural networks nearest neighbors generative adversarial networks下载地址:https://openreview.net/pdf/a2fc659e794dc6e3cc0cb0d7598a70c1046fd8a9.pdf下载地址:https://openreview.net/pdf/37257d67235ce949317db3948d11ee647fcb9743.pdf下载地址:https://openreview.net/pdf/37eda3658e01744d88c216dea06c26b4595eb965.pdf下载地址:https://openreview.net/pdf/0f2afdd3f1854921fca69289a77b0a0b34922fe1.pdf关键词:Deep Reinforcement Learning mult-agent systems下载地址:https://openreview.net/pdf/c7c8805df55c3c06682680157594fc6adcc1686c.pdf关键词:optimization K-FAC natural gradient recurrent neural networks下载地址:https://openreview.net/pdf/4067d0408e56145839859729549fb5ad062a9820.pdf关键词:speech generation accent gan adversarial reinforcement memory lstm policy gradients human下载地址:https://openreview.net/pdf/cf54a1d15e4d0b075be4be9888e8810789404941.pdf关键词:privacy differential privacy machine learning deep learning下载地址:https://openreview.net/pdf/85d216249a97e2df4929959351d82854c163e077.pdf关键词:asynchronous neural network deep learning graph tree rnn下载地址:https://openreview.net/pdf/19a9932d9f73b3be2d71a8d7f335e6cb2e53236f.pdf关键词:connectivity learning multi-branch networks image categorization下载地址:https://openreview.net/pdf/8d9ca4f54cbd879c63926ba3c6a466f8593c6168.pdf关键词:fast weights RNN associative retrieval time-varying variables下载地址:https://openreview.net/pdf/d184c06b932921a0bf6988238c0adc3e99c00d9a.pdf关键词:adversarial examples generative adversarial network black-box attack下载地址:https://openreview.net/pdf/e074cf9e1b09af73e658886fd664e257da48c396.pdf下载地址:https://openreview.net/pdf/99866a78dad33243f7634f3657ba2bbbc7825f79.pdf关键词:Common-sense Physical Reasoning Intuitive Physics Representation Learning Model building下载地址:https://openreview.net/pdf/0226604602a78f0f53c9a773e1888b4efedfb0e0.pdf关键词:Awareness Prediction Seq2seq Robots下载地址:https://openreview.net/pdf/65f824e1d702c5e541a08c20c9700fd3c3c6aa8f.pdf关键词:Deep Reinforcement Learning Multi-Agent Reinforcement Learning StarCraft Micromanagement Tasks下载地址:https://openreview.net/pdf/9546b4f4eddb1629ead14f21afcee2ae6e9759b3.pdf关键词:structured attention sentence matching下载地址:https://openreview.net/pdf/7cc678302888436c96fed050dfb89b10e20932d2.pdf下载地址:https://openreview.net/pdf/5322df3532cfaefb2e27f5e75ac8f9784b494363.pdf 转自:专知 完整内容请点击“阅读原文” via: http://mp.weixin.qq.com/s?__biz=MzA4NDEyMzc2Mw==&mid=2649678295&idx=3&sn=c5f553a9a27d71475adce2184bb2ba7b&scene=0#wechat_redirect

 

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