由ICLR 2021项目联合主席Ivan Titov(爱丁堡大学/阿姆斯特丹大学)，Naila Murray (Facebook人工智能研究)，Alice Oh (KAIST)，高级项目主席Katja Hofmann(微软研究)

我们很激动地宣布ICLR 2021杰出论文奖的获奖者。在我们的项目中有860篇优秀的论文，其中很多都是高质量的，我们想强调8篇特别值得注意的论文。

• 超越具有四元数的全连通层，Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters by Aston Zhang, Yi Tay, Shuai Zhang, Alvin Chan, Anh Tuan Luu, Siu Hui, and Jie Fu

• 复杂的查询回答与神经链接预测器 Complex Query Answering with Neural Link Predictors by Erik Arakelyan, Daniel Daza, Pasquale Minervini, and Michael Cochez

• PCA作为纳什均衡 EigenGame: PCA as a Nash Equilibrium by Ian Gemp, Brian McWilliams, Claire Vernade, and Thore Graepel

• Learning Mesh-Based Simulation with Graph Networks by Tobias Pfaff, Meire Fortunato, Alvaro Sanchez-Gonzalez, and Peter Battaglia

• Neural Synthesis of Binaural Speech from Mono Audio by Alexander Richard, Dejan Markovic, Israel D. Gebru, Steven Krenn, Gladstone Alexander Butler, Fernando Torre, and Yaser Sheikh

• Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime by Atsushi Nitanda, and Taiji Suzuki

• Rethinking Architecture Selection in Differentiable NAS by Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, and Cho-Jui Hsieh

• Score-Based Generative Modeling through Stochastic Differential Equations by Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole