🧑‍🔬 Samy Bengio — all works

31 works · ← Samy Bengio

1. Generating Sentences from a Continuous SpaceConference on Computational Natural Language Learning (CoNLL)Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, et al.2016 · 2,435 citations
2. DeViSE: A Deep Visual-Semantic Embedding Model ↗no summary yetAndrea Frome et al.2013 · 2,055 citations
3. Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks ↗arXiv:1506.03099 · no summary yetSamy Bengio et al.2015 · 1,884 citations
4. Tacotron: Towards End-to-End Speech Synthesis ↗Interspeech (USB) · no summary yetYuxuan Wang et al.2017 · 1,786 citations
5. Understanding deep learning requires rethinking generalization ↗arXiv:1611.03530 · no summary yetChiyuan Zhang et al.2016 · 1,174 citations
6. Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetOriol Vinyals et al.2016 · 929 citations
7. Show and Tell: A Neural Image Caption GeneratorarXiv:1411.4555Oriol Vinyals, Alexander Toshev, Samy Bengio, et al.2014 · 729 citations
8. Device Placement Optimization with Reinforcement Learning ↗arXiv:1706.04972 · no summary yetAzalia Mirhoseini et al.2017 · 343 citations
9. Neural Combinatorial Optimization with Reinforcement Learning ↗arXiv (Cornell University) · no summary yetIrwan Bello et al.2016 · 299 citations
10. GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language ModelsarXiv:2410.05229Iman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, et al.2024 · 273 citations
11. Learning to Remember Rare Events ↗arXiv:1703.03129 · no summary yetŁukasz Kaiser et al.2017 · 258 citations
12. Order Matters: Sequence to sequence for sets ↗arXiv:1511.06391 · no summary yetOriol Vinyals, Samy Bengio, Manjunath Kudlur2015 · 245 citations
13. A Study on Overfitting in Deep Reinforcement Learning ↗arXiv (Cornell University) · no summary yetChiyuan Zhang et al.2018 · 242 citations
14. Fast Decoding in Sequence Models using Discrete Latent Variables ↗arXiv (Cornell University) · no summary yetŁukasz Kaiser et al.2018 · 213 citations
15. Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model. ↗arXiv (Cornell University) · no summary yetYuxuan Wang et al.2017 · 200 citations
16. Tensor2Tensor for Neural Machine TranslationConference of the Association for Machine Translation in the Americas (AMTA)Ashish Vaswani, Samy Bengio, Eugene Brevdo, et al.2018 · 191 citations
17. Context-aware Captions from Context-agnostic Supervision ↗arXiv:1701.02870 · no summary yetRamakrishna Vedantam et al.2017 · 161 citations
18. Reward Augmented Maximum Likelihood for Neural Structured Prediction ↗arXiv (Cornell University) · no summary yetMohammad Norouzi et al.2016 · 146 citations
19. Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML ↗arXiv:1909.09157 · no summary yetAniruddh Raghu et al.2019 · 117 citations
20. Learning semantic relationships for better action retrieval in images ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetVignesh Ramanathan et al.2015 · 113 citations
21. The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity ↗arXiv:2506.06941 · no summary yetParshin Shojaee et al.2025 · 104 citations
22. What Algorithms can Transformers Learn? A Study in Length Generalization ↗arXiv:2310.16028 · no summary yetHattie Zhou et al.2023 · 67 citations
23. An Online Sequence-to-Sequence Model Using Partial Conditioning ↗arXiv (Cornell University) · no summary yetNavdeep Jaitly et al.2015 · 49 citations
24. Discrete Autoencoders for Sequence Models ↗arXiv (Cornell University) · no summary yetŁukasz Kaiser, Samy Bengio2018 · 40 citations
25. Can Active Memory Replace Attention? ↗arXiv (Cornell University) · no summary yetŁukasz Kaiser, Samy Bengio2016 · 31 citations
26. Parallel Scheduled Sampling ↗arXiv (Cornell University) · no summary yetDuckworth, Daniel et al.2019 · 20 citations
27. Generalization on the Unseen, Logic Reasoning and Degree Curriculum ↗arXiv:2301.13105 · no summary yetEmmanuel Abbe et al.2023 · 17 citations
28. Using Web Co-occurrence Statistics for Improving Image Categorization ↗arXiv (Cornell University) · no summary yetSamy Bengio et al.2013 · 17 citations
29. Area Attention ↗arXiv (Cornell University) · no summary yetYang Li et al.2018 · 2 citations
30. Show and Tell:2015MSCOCO画像キャプション攻撃から学んだ教訓【Powered by NICT】 ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetOriol Vinyals et al.2017
31. Y.: Using web co-occurrence statistics for improving image categorization. arXiv preprint arXiv:1312.5697 ↗no summary yetSamy Bengio et al.2013

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