Year | Title | Authors |
---|---|---|
2018 | On the convergence of Adam and Beyond | Sashank J. Reddi, Google Satyen Kale, Google Sanjiv Kumar, Google |
2018 | Spherical CNNs | Taco S. Cohen, University of Amsterdam Mario Geiger, EPFL Jonas Köhler, University of Amsterdam Max Welling, University of Amsterdam |
2018 | Continuous adaptation via meta-learning in nonstationary and competitive environments | Maruan Al-Shedivat, CMU Trapit Bansal, UMass Amherst Yura Burda, OpenAI Ilya Sutskever, OpenAI Igor Mordatch, OpenAI Pieter Abbeel, UC Berkeley |
2017 | Making Neural Programming Architectures Generalize via Recursion | Jonathon Cai, University of California, Berkeley Richard Shin, University of California, Berkeley Dawn Song, University of California, Berkeley |
2017 | Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data | Nicolas Papernot, Pennsylvania State University Martin Abadi, Google Brain Ulfar Erlingsson, Google Ian Goodfellow, Google Brain Kunal Talwar, Google Brain |
2017 | Understanding deep learning requires rethinking generalization | Chiyuan Zhang, Massachusetts Institute of Technology Samy Bengio, Google Brain Moritz Hardt, Google Brain Benjamin Recht, University of California, Berkeley Oriol Vinyals, Google DeepMind |
2016 | Neural Programmer-Interpreters | Scott Reed, Google DeepMind Nando de Freitas, Google DeepMind |
2016 | Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding | Song Han, Stanford University Huizi Mao, Tsinghua University William J. Dally, Stanford University |
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