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ORCIDSamy Bengio
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2020 – today
- 2024
[c161]Enric Boix-Adserà, Omid Saremi, Emmanuel Abbe, Samy Bengio, Etai Littwin, Joshua M. Susskind:
When can transformers reason with abstract symbols? ICLR 2024- [c160]Hattie Zhou, Arwen Bradley, Etai Littwin, Noam Razin, Omid Saremi, Joshua M. Susskind, Samy Bengio, Preetum Nakkiran:
What Algorithms can Transformers Learn? A Study in Length Generalization. ICLR 2024 - [i68]Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Colin Sandon, Omid Saremi:
How Far Can Transformers Reason? The Locality Barrier and Inductive Scratchpad. CoRR abs/2406.06467 (2024) - [i67]Seyed-Iman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, Oncel Tuzel, Samy Bengio, Mehrdad Farajtabar:
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models. CoRR abs/2410.05229 (2024) - [i66]Aryo Lotfi, Enrico Fini, Samy Bengio, Moin Nabi, Emmanuel Abbe:
Visual Scratchpads: Enabling Global Reasoning in Vision. CoRR abs/2410.08165 (2024) - 2023
- [c159]Dan Berrebbi, Ronan Collobert, Samy Bengio, Navdeep Jaitly, Tatiana Likhomanenko:
Continuous pseudo-labeling from the start. ICLR 2023 - [c158]Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Kevin Rizk:
Generalization on the Unseen, Logic Reasoning and Degree Curriculum. ICML 2023: 31-60 - [c157]Emmanuel Abbe, Samy Bengio, Enric Boix-Adserà, Etai Littwin, Joshua M. Susskind:
Transformers learn through gradual rank increase. NeurIPS 2023 - [i65]Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Kevin Rizk:
Generalization on the Unseen, Logic Reasoning and Degree Curriculum. CoRR abs/2301.13105 (2023) - [i64]Enric Boix-Adserà, Etai Littwin, Emmanuel Abbe, Samy Bengio, Joshua M. Susskind:
Transformers learn through gradual rank increase. CoRR abs/2306.07042 (2023) - [i63]Stéphane d'Ascoli, Samy Bengio, Josh M. Susskind, Emmanuel Abbe:
Boolformer: Symbolic Regression of Logic Functions with Transformers. CoRR abs/2309.12207 (2023) - [i62]Samira Abnar, Omid Saremi, Laurent Dinh, Shantel Wilson, Miguel Ángel Bautista, Chen Huang, Vimal Thilak, Etai Littwin, Jiatao Gu, Josh M. Susskind, Samy Bengio:
Adaptivity and Modularity for Efficient Generalization Over Task Complexity. CoRR abs/2310.08866 (2023) - [i61]Enric Boix-Adserà, Omid Saremi, Emmanuel Abbe, Samy Bengio, Etai Littwin, Joshua M. Susskind:
When can transformers reason with abstract symbols? CoRR abs/2310.09753 (2023) - [i60]Hattie Zhou, Arwen Bradley, Etai Littwin, Noam Razin, Omid Saremi, Josh M. Susskind, Samy Bengio, Preetum Nakkiran:
What Algorithms can Transformers Learn? A Study in Length Generalization. CoRR abs/2310.16028 (2023) - 2022
- [j46]Chiyuan Zhang, Samy Bengio, Yoram Singer:
Are All Layers Created Equal? J. Mach. Learn. Res. 23: 67:1-67:28 (2022) - [c156]Tatiana Likhomanenko, Ronan Collobert, Navdeep Jaitly, Samy Bengio:
Continuous Soft Pseudo-Labeling in ASR. ICBINB 2022: 66-84 - [c155]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. NeurIPS 2022 - [i59]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) - [i58]Dan Berrebbi, Ronan Collobert, Samy Bengio, Navdeep Jaitly, Tatiana Likhomanenko:
Continuous Pseudo-Labeling from the Start. CoRR abs/2210.08711 (2022) - [i57]Tatiana Likhomanenko, Ronan Collobert, Navdeep Jaitly, Samy Bengio:
Continuous Soft Pseudo-Labeling in ASR. CoRR abs/2211.06007 (2022) - 2021
- [j45]Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals:
Understanding deep learning (still) requires rethinking generalization. Commun. ACM 64(3): 107-115 (2021) - [c154]Yang Li, Si Si, Gang Li, Cho-Jui Hsieh, Samy Bengio:
Learnable Fourier Features for Multi-dimensional Spatial Positional Encoding. NeurIPS 2021: 15816-15829 - [c153]Michael L. Iuzzolino, Michael C. Mozer, Samy Bengio:
Improving Anytime Prediction with Parallel Cascaded Networks and a Temporal-Difference Loss. NeurIPS 2021: 27631-27644 - [i56]Michael L. Iuzzolino, Michael C. Mozer, Samy Bengio:
Training cascaded networks for speeded decisions using a temporal-difference loss. CoRR abs/2102.09808 (2021) - [i55]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) - [i54]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
- [c152]Yiding Jiang, Behnam Neyshabur, Hossein Mobahi, Dilip Krishnan, Samy Bengio:
Fantastic Generalization Measures and Where to Find Them. ICLR 2020 - [c151]Aniruddh Raghu, Maithra Raghu, Samy Bengio, Oriol Vinyals:
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML. ICLR 2020 - [c150]Chiyuan Zhang, Samy Bengio, Moritz Hardt, Michael C. Mozer, Yoram Singer:
Identity Crisis: Memorization and Generalization Under Extreme Overparameterization. ICLR 2020 - [c149]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 - [c148]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 - [i53]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) - [i52]Sara Hooker, Nyalleng Moorosi, Gregory Clark, Samy Bengio, Emily Denton:
Characterising Bias in Compressed Models. CoRR abs/2010.03058 (2020) - [i51]Calvin Luo, Hossein Mobahi, Samy Bengio:
Data Augmentation via Structured Adversarial Perturbations. CoRR abs/2011.03010 (2020) - [i50]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)
2010 – 2019
- 2019
- [j44]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) - [c147]Zhourong Chen, Yang Li, Samy Bengio, Si Si:
You Look Twice: GaterNet for Dynamic Filter Selection in CNNs. CVPR 2019: 9172-9180 - [c146]Yiding Jiang, Dilip Krishnan, Hossein Mobahi, Samy Bengio:
Predicting the Generalization Gap in Deep Networks with Margin Distributions. ICLR (Poster) 2019 - [c145]Yang Li, Lukasz Kaiser, Samy Bengio, Si Si:
Area Attention. ICML 2019: 3846-3855 - [c144]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 - [c143]Maithra Raghu, Chiyuan Zhang, Jon M. Kleinberg, Samy Bengio:
Transfusion: Understanding Transfer Learning for Medical Imaging. NeurIPS 2019: 3342-3352 - [i49]Jan Chorowski, Ron J. Weiss, Samy Bengio, Aäron van den Oord:
Unsupervised speech representation learning using WaveNet autoencoders. CoRR abs/1901.08810 (2019) - [i48]Vighnesh Birodkar, Hossein Mobahi, Samy Bengio:
Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need. CoRR abs/1901.11409 (2019) - [i47]Chiyuan Zhang, Samy Bengio, Yoram Singer:
Are All Layers Created Equal? CoRR abs/1902.01996 (2019) - [i46]Chiyuan Zhang, Samy Bengio, Moritz Hardt, Yoram Singer:
Identity Crisis: Memorization and Generalization under Extreme Overparameterization. CoRR abs/1902.04698 (2019) - [i45]Maithra Raghu, Chiyuan Zhang, Jon M. Kleinberg, Samy Bengio:
Transfusion: Understanding Transfer Learning with Applications to Medical Imaging. CoRR abs/1902.07208 (2019) - [i44]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) - [i43]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) - [i42]Vighnesh Birodkar, Hossein Mobahi, Dilip Krishnan, Samy Bengio:
A Closed-Form Learned Pooling for Deep Classification Networks. CoRR abs/1906.03808 (2019) - [i41]Daniel Duckworth, Arvind Neelakantan, Ben Goodrich, Lukasz Kaiser, Samy Bengio:
Parallel Scheduled Sampling. CoRR abs/1906.04331 (2019) - [i40]Yijie Guo, Jongwook Choi, Marcin Moczulski, Samy Bengio, Mohammad Norouzi, Honglak Lee:
Efficient Exploration with Self-Imitation Learning via Trajectory-Conditioned Policy. CoRR abs/1907.10247 (2019) - [i39]Aniruddh Raghu, Maithra Raghu, Samy Bengio, Oriol Vinyals:
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML. CoRR abs/1909.09157 (2019) - [i38]Yiding Jiang, Behnam Neyshabur, Hossein Mobahi, Dilip Krishnan, Samy Bengio:
Fantastic Generalization Measures and Where to Find Them. CoRR abs/1912.02178 (2019) - 2018
- [c142]Ashish Vaswani, Samy Bengio, Eugene Brevdo, François Chollet, Aidan N. Gomez, Stephan Gouws, Llion Jones, Lukasz Kaiser, Nal Kalchbrenner, Niki Parmar, Ryan Sepassi, Noam Shazeer, Jakob Uszkoreit:
Tensor2Tensor for Neural Machine Translation. AMTA (1) 2018: 193-199 - [c141]Yang Li, Samy Bengio, Gilles Bailly:
Predicting Human Performance in Vertical Menu Selection Using Deep Learning. CHI 2018: 29 - [c140]Jan Chorowski, Ron J. Weiss, Rif A. Saurous, Samy Bengio:
On Using Backpropagation for Speech Texture Generation and Voice Conversion. ICASSP 2018: 2256-2260 - [c139]Yang Li, Nan Du, Samy Bengio:
Time-Dependent Representation for Neural Event Sequence Prediction. ICLR (Workshop) 2018 - [c138]Lukasz Kaiser, Samy Bengio, Aurko Roy, Ashish Vaswani, Niki Parmar, Jakob Uszkoreit, Noam Shazeer:
Fast Decoding in Sequence Models Using Discrete Latent Variables. ICML 2018: 2395-2404 - [c137]Gamaleldin F. Elsayed, Dilip Krishnan, Hossein Mobahi, Kevin Regan, Samy Bengio:
Large Margin Deep Networks for Classification. NeurIPS 2018: 850-860 - [c136]Lajanugen Logeswaran, Honglak Lee, Samy Bengio:
Content preserving text generation with attribute controls. NeurIPS 2018: 5108-5118 - [c135]Ari S. Morcos, Maithra Raghu, Samy Bengio:
Insights on representational similarity in neural networks with canonical correlation. NeurIPS 2018: 5732-5741 - [p1]Samy Bengio, Li Deng, Louis-Philippe Morency, Björn W. Schuller:
Perspectives on predictive power of multimodal deep learning: surprises and future directions. The Handbook of Multimodal-Multisensor Interfaces, Volume 2 (2) 2018: 455-472 - [e5]Samy Bengio, Hanna M. Wallach, Hugo Larochelle, Kristen Grauman, Nicolò Cesa-Bianchi, Roman Garnett:
Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada. 2018 [contents] - [i37]Lukasz Kaiser, Samy Bengio:
Discrete Autoencoders for Sequence Models. CoRR abs/1801.09797 (2018) - [i36]Lukasz Kaiser, Aurko Roy, Ashish Vaswani, Niki Parmar, Samy Bengio, Jakob Uszkoreit, Noam Shazeer:
Fast Decoding in Sequence Models using Discrete Latent Variables. CoRR abs/1803.03382 (2018) - [i35]Yang Li, Samy Bengio, Gilles Bailly:
Predicting Human Performance in Vertical Menu Selection Using Deep Learning. CoRR abs/1803.05073 (2018) - [i34]Gamaleldin F. Elsayed, Dilip Krishnan, Hossein Mobahi, Kevin Regan, Samy Bengio:
Large Margin Deep Networks for Classification. CoRR abs/1803.05598 (2018) - [i33]Ashish Vaswani, Samy Bengio, Eugene Brevdo, François Chollet, Aidan N. Gomez, Stephan Gouws, Llion Jones, Lukasz Kaiser, Nal Kalchbrenner, Niki Parmar, Ryan Sepassi, Noam Shazeer, Jakob Uszkoreit:
Tensor2Tensor for Neural Machine Translation. CoRR abs/1803.07416 (2018) - [i32]Alexey Kurakin, Ian J. Goodfellow, Samy Bengio, Yinpeng Dong, Fangzhou Liao, Ming Liang, Tianyu Pang, Jun Zhu, Xiaolin Hu, Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan L. Yuille, Sangxia Huang, Yao Zhao, Yuzhe Zhao, Zhonglin Han, Junjiajia Long, Yerkebulan Berdibekov, Takuya Akiba, Seiya Tokui, Motoki Abe:
Adversarial Attacks and Defences Competition. CoRR abs/1804.00097 (2018) - [i31]Chiyuan Zhang, Oriol Vinyals, Rémi Munos, Samy Bengio:
A Study on Overfitting in Deep Reinforcement Learning. CoRR abs/1804.06893 (2018) - [i30]Ari S. Morcos, Maithra Raghu, Samy Bengio:
Insights on representational similarity in neural networks with canonical correlation. CoRR abs/1806.05759 (2018) - [i29]Yiding Jiang, Dilip Krishnan, Hossein Mobahi, Samy Bengio:
Predicting the Generalization Gap in Deep Networks with Margin Distributions. CoRR abs/1810.00113 (2018) - [i28]Yang Li, Lukasz Kaiser, Samy Bengio, Si Si:
Area Attention. CoRR abs/1810.10126 (2018) - [i27]Lajanugen Logeswaran, Honglak Lee, Samy Bengio:
Content preserving text generation with attribute controls. CoRR abs/1811.01135 (2018) - [i26]Zhourong Chen, Yang Li, Samy Bengio, Si Si:
GaterNet: Dynamic Filter Selection in Convolutional Neural Network via a Dedicated Global Gating Network. CoRR abs/1811.11205 (2018) - [i25]Samy Bengio, Krzysztof Dembczynski, Thorsten Joachims, Marius Kloft, Manik Varma:
Extreme Classification (Dagstuhl Seminar 18291). Dagstuhl Reports 8(7): 62-80 (2018) - 2017
- [j43]Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan:
Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge. IEEE Trans. Pattern Anal. Mach. Intell. 39(4): 652-663 (2017) - [c134]Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, Gal Chechik:
Context-Aware Captions from Context-Agnostic Supervision. CVPR 2017: 1070-1079 - [c133]Irwan Bello, Hieu Pham, Quoc V. Le, Mohammad Norouzi, Samy Bengio:
Neural Combinatorial Optimization with Reinforcement Learning. ICLR (Workshop) 2017 - [c132]Laurent Dinh, Jascha Sohl-Dickstein, Samy Bengio:
Density estimation using Real NVP. ICLR (Poster) 2017 - [c131]Lukasz Kaiser, Ofir Nachum, Aurko Roy, Samy Bengio:
Learning to Remember Rare Events. ICLR (Poster) 2017 - [c130]Alexey Kurakin, Ian J. Goodfellow, Samy Bengio:
Adversarial Machine Learning at Scale. ICLR (Poster) 2017 - [c129]Alexey Kurakin, Ian J. Goodfellow, Samy Bengio:
Adversarial examples in the physical world. ICLR (Workshop) 2017 - [c128]Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals:
Understanding deep learning requires rethinking generalization. ICLR 2017 - [c127]Laurent Dinh, Razvan Pascanu, Samy Bengio, Yoshua Bengio:
Sharp Minima Can Generalize For Deep Nets. ICML 2017: 1019-1028 - [c126]Azalia Mirhoseini, Hieu Pham, Quoc V. Le, Benoit Steiner, Rasmus Larsen, Yuefeng Zhou, Naveen Kumar, Mohammad Norouzi, Samy Bengio, Jeff Dean:
Device Placement Optimization with Reinforcement Learning. ICML 2017: 2430-2439 - [c125]Yuxuan Wang, R. J. Skerry-Ryan, Daisy Stanton, Yonghui Wu, Ron J. Weiss, Navdeep Jaitly, Zongheng Yang, Ying Xiao, Zhifeng Chen, Samy Bengio, Quoc V. Le, Yannis Agiomyrgiannakis, Rob Clark, Rif A. Saurous:
Tacotron: Towards End-to-End Speech Synthesis. INTERSPEECH 2017: 4006-4010 - [e4]Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna M. Wallach, Rob Fergus, S. V. N. Vishwanathan, Roman Garnett:
Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA. 2017 [contents] - [i24]Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, Gal Chechik:
Context-aware Captions from Context-agnostic Supervision. CoRR abs/1701.02870 (2017) - [i23]Lukasz Kaiser, Ofir Nachum, Aurko Roy, Samy Bengio:
Learning to Remember Rare Events. CoRR abs/1703.03129 (2017) - [i22]Laurent Dinh, Razvan Pascanu, Samy Bengio, Yoshua Bengio:
Sharp Minima Can Generalize For Deep Nets. CoRR abs/1703.04933 (2017) - [i21]Yuxuan Wang, R. J. Skerry-Ryan, Daisy Stanton, Yonghui Wu, Ron J. Weiss, Navdeep Jaitly, Zongheng Yang, Ying Xiao, Zhifeng Chen, Samy Bengio, Quoc V. Le, Yannis Agiomyrgiannakis, Rob Clark, Rif A. Saurous:
Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model. CoRR abs/1703.10135 (2017) - [i20]Ciprian Chelba, Mohammad Norouzi, Samy Bengio:
N-gram Language Modeling using Recurrent Neural Network Estimation. CoRR abs/1703.10724 (2017) - [i19]Azalia Mirhoseini, Hieu Pham, Quoc V. Le, Benoit Steiner, Rasmus Larsen, Yuefeng Zhou, Naveen Kumar, Mohammad Norouzi, Samy Bengio, Jeff Dean:
Device Placement Optimization with Reinforcement Learning. CoRR abs/1706.04972 (2017) - [i18]Yang Li, Nan Du, Samy Bengio:
Time-Dependent Representation for Neural Event Sequence Prediction. CoRR abs/1708.00065 (2017) - [i17]Jan Chorowski, Ron J. Weiss, Rif A. Saurous, Samy Bengio:
On Using Backpropagation for Speech Texture Generation and Voice Conversion. CoRR abs/1712.08363 (2017) - 2016
- [j42]Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer, Samy Bengio:
LLORMA: Local Low-Rank Matrix Approximation. J. Mach. Learn. Res. 17: 15:1-15:24 (2016) - [c124]Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, Andrew M. Dai, Rafal Józefowicz, Samy Bengio:
Generating Sentences from a Continuous Space. CoNLL 2016: 10-21 - [c123]Georg Heigold, Ignacio Moreno, Samy Bengio, Noam Shazeer:
End-to-end text-dependent speaker verification. ICASSP 2016: 5115-5119 - [c122]Moustapha Cissé, Maruan Al-Shedivat, Samy Bengio:
ADIOS: Architectures Deep In Output Space. ICML 2016: 2770-2779 - [c121]Mohammad Norouzi, Samy Bengio, Zhifeng Chen, Navdeep Jaitly, Mike Schuster, Yonghui Wu, Dale Schuurmans:
Reward Augmented Maximum Likelihood for Neural Structured Prediction. NIPS 2016: 1723-1731 - [c120]Lukasz Kaiser, Samy Bengio:
Can Active Memory Replace Attention? NIPS 2016: 3774-3782 - [c119]Navdeep Jaitly, Quoc V. Le, Oriol Vinyals, Ilya Sutskever, David Sussillo, Samy Bengio:
An Online Sequence-to-Sequence Model Using Partial Conditioning. NIPS 2016: 5067-5075 - [c118]Oriol Vinyals, Samy Bengio, Manjunath Kudlur:
Order Matters: Sequence to sequence for sets. ICLR (Poster) 2016 - [i16]Jianmin Chen, Rajat Monga, Samy Bengio, Rafal Józefowicz:
Revisiting Distributed Synchronous SGD. CoRR abs/1604.00981 (2016) - [i15]Laurent Dinh, Jascha Sohl-Dickstein, Samy Bengio:
Density estimation using Real NVP. CoRR abs/1605.08803 (2016) - [i14]Alexey Kurakin, Ian J. Goodfellow, Samy Bengio:
Adversarial examples in the physical world. CoRR abs/1607.02533 (2016) - [i13]Mohammad Norouzi, Samy Bengio, Zhifeng Chen, Navdeep Jaitly, Mike Schuster, Yonghui Wu, Dale Schuurmans:
Reward Augmented Maximum Likelihood for Neural Structured Prediction. CoRR abs/1609.00150 (2016) - [i12]Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan:
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge. CoRR abs/1609.06647 (2016) - [i11]Lukasz Kaiser, Samy Bengio:
Can Active Memory Replace Attention? CoRR abs/1610.08613 (2016) - [i10]Alexey Kurakin, Ian J. Goodfellow, Samy Bengio:
Adversarial Machine Learning at Scale. CoRR abs/1611.01236 (2016) - [i9]Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals:
Understanding deep learning requires rethinking generalization. CoRR abs/1611.03530 (2016) - [i8]Irwan Bello, Hieu Pham, Quoc V. Le, Mohammad Norouzi, Samy Bengio:
Neural Combinatorial Optimization with Reinforcement Learning. CoRR abs/1611.09940 (2016) - 2015
- [c117]Vignesh Ramanathan, Congcong Li, Jia Deng, Wei Han, Zhen Li, Kunlong Gu, Yang Song, Samy Bengio, Chuck Rosenberg, Li Fei-Fei:
Learning semantic relationships for better action retrieval in images. CVPR 2015: 1100-1109 - [c116]Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan:
Show and tell: A neural image caption generator. CVPR 2015: 3156-3164 - [c115]Samy Bengio:
Sharing Representations for Long Tail Computer Vision Problems. ICMI 2015: 1 - [c114]Samy Bengio, Oriol Vinyals, Navdeep Jaitly, Noam Shazeer:
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks. NIPS 2015: 1171-1179 - [i7]Samy Bengio, Oriol Vinyals, Navdeep Jaitly, Noam Shazeer:
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks. CoRR abs/1506.03099 (2015) - [i6]Georg Heigold, Ignacio Moreno, Samy Bengio, Noam Shazeer:
End-to-End Text-Dependent Speaker Verification. CoRR abs/1509.08062 (2015) - [i5]