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Who cites David Warde-Farley

1,467 citations of their works from 1,462 papers of our library (of the 149,439 whose bibliographies we read) · 128 with a page here, the most cited first · page 1 of 2 · 1–100 · ← David Warde-Farley

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  1. Neural Machine Translation by Jointly Learning to Align and TranslatearXiv:1409.0473Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio2014 · 19,287 citations
  2. Explaining and Harnessing Adversarial ExamplesarXiv:1412.6572Ian J. Goodfellow, Jonathon Shlens, Christian Szegedy2014 · 8,577 citations
  3. A Simple Framework for Contrastive Learning of Visual RepresentationsarXiv:2002.05709Ting Chen, Simon Kornblith, Mohammad Norouzi, et al.2020 · 8,000 citations
  4. Show, Attend and Tell: Neural Image Caption Generation with Visual AttentionarXiv:1502.03044Kelvin Xu, Jimmy Ba, Ryan Kiros, et al.2015 · 7,670 citations
  5. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial NetworksarXiv:1511.06434Alec Radford, Luke Metz, Soumith Chintala2015 · 6,654 citations
  6. Generative Adversarial NetsIan J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, et al.2014 · 5,790 citations
  7. mixup: Beyond Empirical Risk MinimizationarXiv:1710.09412Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin, et al.2017 · 4,928 citations
  8. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
  9. Hierarchical Text-Conditional Image Generation with CLIP LatentsarXiv:2204.06125Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, et al.2022 · 2,713 citations
  10. 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
  11. Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1arXiv:1602.02830Matthieu Courbariaux, Itay Hubara, Daniel Soudry, et al.2016 · 2,143 citations
  12. MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed SystemsarXiv:1512.01274Tianqi Chen, Mu Li, Yutian Li, et al.2015 · 2,000 citations
  13. Adversarial Examples for Evaluating Reading Comprehension SystemsRobin Jia, Percy Liang2017 · 1,969 citations
  14. BinaryConnect: Training Deep Neural Networks with binary weights during propagationsarXiv:1511.00363Matthieu Courbariaux, Yoshua Bengio, Jean-Pierre David2015 · 1,885 citations
  15. Attention-Based Models for Speech RecognitionarXiv:1506.07503Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, et al.2015 · 1,819 citations
  16. Deep Unsupervised Learning using Nonequilibrium ThermodynamicsarXiv:1503.03585Jascha Sohl-Dickstein, Eric A. Weiss, Niru Maheswaranathan, et al.2015 · 1,761 citations
  17. Score-Based Generative Modeling through Stochastic Differential EquationsarXiv:2011.13456Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, et al.2020 · 1,680 citations
  18. Quantized Neural Networks: Training Neural Networks with Low Precision Weights and ActivationsarXiv:1609.07061Itay Hubara, Matthieu Courbariaux, Daniel Soudry, et al.2016 · 1,610 citations
  19. Improved Techniques for Training GANsarXiv:1606.03498Tim Salimans, Ian Goodfellow, Wojciech Zaremba, et al.2016 · 1,558 citations
  20. Zero-Shot Text-to-Image GenerationarXiv:2102.12092Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, et al.2021 · 1,528 citations
  21. TVM: An Automated End-to-End Optimizing Compiler for Deep LearningarXiv:1802.04799Tianqi Chen, Thierry Moreau, Ziheng Jiang, et al.2018 · 1,384 citations
  22. CTRL: A Conditional Transformer Language Model for Controllable GenerationarXiv:1909.05858Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, et al.2019 · 1,291 citations
  23. Generative Modeling by Estimating Gradients of the Data DistributionarXiv:1907.05600Yang Song, Stefano Ermon2019 · 1,274 citations
  24. Convolutional Networks on Graphs for Learning Molecular FingerprintsarXiv:1509.09292David Duvenaud, Dougal Maclaurin, Jorge Aguilera-Iparraguirre, et al.2015 · 993 citations
  25. Style Transfer from Non-Parallel Text by Cross-AlignmentTianxiao Shen, Tao Lei, Regina Barzilay, et al.2017 · 979 citations
  26. Interpretable Machine Learning: Fundamental Principles and 10 Grand ChallengesarXiv:2103.11251 · Statistics Surveys, 2021Cynthia Rudin; Chaofan Chen; Zhi Chen; Haiyang Huang; Lesia Semenova;, Chudi Zhong2021 · 974 citations
  27. HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech SynthesisarXiv:2010.05646Jungil Kong, Jaehyeon Kim, Jaekyoung Bae2020 · 969 citations
  28. Revisiting Pre-Trained Models for Chinese Natural Language ProcessingarXiv:2004.13922Yiming Cui, Wanxiang Che, Ting Liu, et al.2020 · 790 citations
  29. Unsupervised Machine Translation Using Monolingual Corpora OnlyarXiv:1711.00043Guillaume Lample, Alexis Conneau, Ludovic Denoyer, et al.2017 · 669 citations
  30. Denoising Diffusion Implicit ModelsarXiv:2010.02502Jiaming Song, Chenlin Meng, Stefano Ermon2020 · 576 citations
  31. Toward Controlled Generation of TextarXiv:1703.00955Zhiting Hu, Zichao Yang, Xiaodan Liang, et al.2017 · 537 citations
  32. Texygen: A Benchmarking Platform for Text Generation ModelsarXiv:1802.01886Yaoming Zhu, Sidi Lu, Lei Zheng, et al.2018 · 495 citations
  33. CogView: Mastering Text-to-Image Generation via TransformersarXiv:2105.13290Ming Ding, Zhuoyi Yang, Wenyi Hong, et al.2021 · 469 citations
  34. Controllable Abstractive SummarizationWorkshop on Neural Machine Translation and GenerationAngela Fan, David Grangier, Michael Auli2018 · 427 citations
  35. Evaluation of Text Generation: A SurveyarXiv:2006.14799Asli Celikyilmaz, Elizabeth Clark, Jianfeng Gao2020 · 388 citations
  36. The AI Scientist: Towards Fully Automated Open-Ended Scientific DiscoveryarXiv:2408.06292Chris Lu, Cong Lu, Robert Tjarko Lange, et al.2024 · 372 citations
  37. Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified FlowarXiv:2209.03003Xingchao Liu, Chengyue Gong, Qiang Liu2022 · 315 citations
  38. How to Construct Deep Recurrent Neural NetworksarXiv:1312.6026Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, et al.2013 · 302 citations
  39. Structured Denoising Diffusion Models in Discrete State-SpacesarXiv:2107.03006Jacob Austin, Daniel D. Johnson, Jonathan Ho, et al.2021 · 284 citations
  40. Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency AnalysisACM Computing Surveys 2019Tal Ben-Nun, Torsten Hoefler2018 · 275 citations
  41. Learning to Optimize Tensor ProgramsarXiv:1805.08166Tianqi Chen, Lianmin Zheng, Eddie Yan, et al.2019 · 269 citations
  42. Generative Language Modeling for Automated Theorem ProvingarXiv:2009.03393Stanislas Polu, Ilya Sutskever2020 · 241 citations
  43. Concrete Problems in AI SafetyarXiv:1606.06565Dario Amodei, Chris Olah, Jacob Steinhardt, et al.2016 · 232 citations
  44. Data-Driven Sentence Simplification: Survey and BenchmarkComputational LinguisticsFernando Alva-Manchego, Carolina Scarton, Lucia Specia2020 · 213 citations
  45. CogVideo: Large-scale Pretraining for Text-to-Video Generation via TransformersarXiv:2205.15868Wenyi Hong, Ming Ding, Wendi Zheng, et al.2022 · 191 citations
  46. DiffuSeq: Sequence to Sequence Text Generation with Diffusion ModelsarXiv:2210.08933Shansan Gong, Mukai Li, Jiangtao Feng, et al.2022 · 189 citations
  47. Unsupervised Text Style Transfer using Language Models as DiscriminatorsarXiv:1805.11749Zichao Yang, Zhiting Hu, Chris Dyer, et al.2018 · 161 citations
  48. A Neural Knowledge Language ModelarXiv:1608.00318Sungjin Ahn, Heeyoul Choi, Tanel Pärnamaa, et al.2016 · 146 citations
  49. Unifying Human and Statistical Evaluation for Natural Language GenerationarXiv:1904.02792Tatsunori B. Hashimoto, Hugh Zhang, Percy Liang2019 · 143 citations
  50. Debating with More Persuasive LLMs Leads to More Truthful AnswersarXiv:2402.06782Akbir Khan, John Hughes, Dan Valentine, et al.2024 · 101 citations
  51. PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image SynthesisarXiv:2310.00426Junsong Chen, Jincheng Yu, Chongjian Ge, et al.2023 · 87 citations
  52. Benchmark Data Contamination of Large Language Models: A SurveyarXiv:2406.04244Cheng Xu, Shuhao Guan, Derek Greene, et al.2024 · 85 citations

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