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- Samy Bengio
Google, Inc.
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Publication search results
found 262 matches
- 2022
- Emmanuel Abbe, Samy Bengio, Elisabetta Cornacchia, Jon M. Kleinberg, Aryo Lotfi, Maithra Raghu, Chiyuan Zhang:
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures. CoRR abs/2205.13647 (2022) - 2021
- Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals:
Understanding deep learning (still) requires rethinking generalization. Commun. ACM 64(3): 107-115 (2021) - Michael L. Iuzzolino, Michael C. Mozer, Samy Bengio:
Improving Anytime Prediction with Parallel Cascaded Networks and a Temporal-Difference Loss. NeurIPS 2021: 27631-27644 - Yang Li, Si Si, Gang Li, Cho-Jui Hsieh, Samy Bengio:
Learnable Fourier Features for Multi-dimensional Spatial Positional Encoding. NeurIPS 2021: 15816-15829 - Michael L. Iuzzolino, Michael C. Mozer, Samy Bengio:
Training cascaded networks for speeded decisions using a temporal-difference loss. CoRR abs/2102.09808 (2021) - Yang Li, Si Si, Gang Li, Cho-Jui Hsieh, Samy Bengio:
Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding. CoRR abs/2106.02795 (2021) - Chiyuan Zhang, Maithra Raghu, Jon M. Kleinberg, Samy Bengio:
Pointer Value Retrieval: A new benchmark for understanding the limits of neural network generalization. CoRR abs/2107.12580 (2021) - 2020
- Yiding Jiang, Behnam Neyshabur, Hossein Mobahi, Dilip Krishnan, Samy Bengio:
Fantastic Generalization Measures and Where to Find Them. ICLR 2020 - Aniruddh Raghu, Maithra Raghu, Samy Bengio, Oriol Vinyals:
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML. ICLR 2020 - Chiyuan Zhang, Samy Bengio, Moritz Hardt, Michael C. Mozer, Yoram Singer:
Identity Crisis: Memorization and Generalization Under Extreme Overparameterization. ICLR 2020 - Yijie Guo, Jongwook Choi, Marcin Moczulski, Shengyu Feng, Samy Bengio, Mohammad Norouzi, Honglak Lee:
Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards. NeurIPS 2020 - Yiding Jiang, Parth Natekar, Manik Sharma, Sumukh K. Aithal, Dhruva Kashyap, Natarajan Subramanyam, Carlos Lassance, Daniel M. Roy, Gintare Karolina Dziugaite, Suriya Gunasekar, Isabelle Guyon, Pierre Foret, Scott Yak, Hossein Mobahi, Behnam Neyshabur, Samy Bengio:
Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning. NeurIPS (Competition and Demos) 2020: 170-190 - Yang Li, Julien Amelot, Xin Zhou, Samy Bengio, Si Si:
Auto Completion of User Interface Layout Design Using Transformer-Based Tree Decoders. CoRR abs/2001.05308 (2020) - Sara Hooker, Nyalleng Moorosi, Gregory Clark, Samy Bengio, Emily Denton:
Characterising Bias in Compressed Models. CoRR abs/2010.03058 (2020) - Calvin Luo, Hossein Mobahi, Samy Bengio:
Data Augmentation via Structured Adversarial Perturbations. CoRR abs/2011.03010 (2020) - Yiding Jiang, Pierre Foret, Scott Yak, Daniel M. Roy, Hossein Mobahi, Gintare Karolina Dziugaite, Samy Bengio, Suriya Gunasekar, Isabelle Guyon, Behnam Neyshabur:
NeurIPS 2020 Competition: Predicting Generalization in Deep Learning. CoRR abs/2012.07976 (2020) - 2019
- Jan Chorowski
, Ron J. Weiss
, Samy Bengio, Aäron van den Oord:
Unsupervised Speech Representation Learning Using WaveNet Autoencoders. IEEE ACM Trans. Audio Speech Lang. Process. 27(12): 2041-2053 (2019) - Zhourong Chen, Yang Li, Samy Bengio, Si Si:
You Look Twice: GaterNet for Dynamic Filter Selection in CNNs. CVPR 2019: 9172-9180 - Yiding Jiang, Dilip Krishnan, Hossein Mobahi, Samy Bengio:
Predicting the Generalization Gap in Deep Networks with Margin Distributions. ICLR (Poster) 2019 - Yang Li, Lukasz Kaiser, Samy Bengio, Si Si:
Area Attention. ICML 2019: 3846-3855 - Wei-Lin Chiang, Xuanqing Liu, Si Si, Yang Li, Samy Bengio, Cho-Jui Hsieh:
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks. KDD 2019: 257-266 - Maithra Raghu, Chiyuan Zhang, Jon M. Kleinberg, Samy Bengio:
Transfusion: Understanding Transfer Learning for Medical Imaging. NeurIPS 2019: 3342-3352 - Jan Chorowski, Ron J. Weiss, Samy Bengio, Aäron van den Oord:
Unsupervised speech representation learning using WaveNet autoencoders. CoRR abs/1901.08810 (2019) - Vighnesh Birodkar, Hossein Mobahi, Samy Bengio:
Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need. CoRR abs/1901.11409 (2019) - Chiyuan Zhang, Samy Bengio, Yoram Singer:
Are All Layers Created Equal? CoRR abs/1902.01996 (2019) - Chiyuan Zhang, Samy Bengio, Moritz Hardt, Yoram Singer:
Identity Crisis: Memorization and Generalization under Extreme Overparameterization. CoRR abs/1902.04698 (2019) - Maithra Raghu, Chiyuan Zhang, Jon M. Kleinberg, Samy Bengio:
Transfusion: Understanding Transfer Learning with Applications to Medical Imaging. CoRR abs/1902.07208 (2019) - Been Kim, Emily Reif, Martin Wattenberg, Samy Bengio:
Do Neural Networks Show Gestalt Phenomena? An Exploration of the Law of Closure. CoRR abs/1903.01069 (2019) - Wei-Lin Chiang, Xuanqing Liu, Si Si, Yang Li, Samy Bengio, Cho-Jui Hsieh:
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks. CoRR abs/1905.07953 (2019) - Vighnesh Birodkar, Hossein Mobahi, Dilip Krishnan, Samy Bengio:
A Closed-Form Learned Pooling for Deep Classification Networks. CoRR abs/1906.03808 (2019)
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