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Arthur Szlam

Active 2005–2026

120
Papers
21,623
Citations
45
h-index
87
i10-index

Citations

Citations per year for Arthur Szlam1980: 1 citations1990: 1 citations1992: 1 citations1997: 1 citations2003: 2 citations2004: 4 citations2005: 5 citations2006: 6 citations2007: 13 citations2008: 13 citations2009: 17 citations2010: 32 citations2011: 53 citations2012: 75 citations2013: 102 citations2014: 143 citations2015: 188 citations2016: 384 citations2017: 689 citations2018: 1,092 citations2019: 1,511 citations2020: 1,743 citations2021: 1,778 citations2022: 1,376 citations2023: 1,343 citations2024: 1,022 citations2025: 921 citations2026: 310 citations2027: 1 citations1981–1989: no citations, so these years are not shown1991: no citations, so this year is not shown1993–1996: no citations, so these years are not shown1998–2002: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,507 citing papers, 25.7% of this breakdownUnited States: 3,259 citing papers, 23.8% of this breakdownUnited Kingdom: 840 citing papers, 6.2% of this breakdownGermany: 520 citing papers, 3.8% of this breakdownCanada: 457 citing papers, 3.3% of this breakdownAustralia: 443 citing papers, 3.2% of this breakdownFrance: 420 citing papers, 3.1% of this breakdownHong Kong: 311 citing papers, 2.3% of this breakdownSwitzerland: 295 citing papers, 2.2% of this breakdownSouth Korea: 292 citing papers, 2.1% of this breakdownIndia: 290 citing papers, 2.1% of this breakdownJapan: 277 citing papers, 2% of this breakdown
0%25.7%Other 20.2%

Institutions

Fields

  • Computer Science70.8%
  • Engineering14.8%
  • Physics and Astronomy2.3%
  • Neuroscience2%
  • Biochemistry, Genetics and Molecular Biology1.8%
  • Medicine1.7%
  • Other6.6%

Topics

  • Topic Modeling6.3%
  • Advanced Graph Neural Networks5.6%
  • Multimodal Machine Learning Applications3.5%
  • Natural Language Processing Techniques3.3%
  • Generative Adversarial Networks and Image Synthesis2.9%
  • Human Pose and Action Recognition2.3%
  • Other76.1%

Coauthors

All papers

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  1. Geometric Deep Learning: Going beyond Euclidean data

    Authors: Michael M. Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, Pierre Vandergheynst - IEEE Signal Processing Magazine, IEEE Signal Process. Mag. 2017 cited by 3,614

  2. Spectral Networks and Locally Connected Networks on Graphs

    Authors: Joan Bruna, Wojciech Zaremba, Arthur Szlam, Yann LeCun - ICLR 2014 cited by 2,726

  3. Personalizing Dialogue Agents: I have a dog, do you have pets too?

    Authors: Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur Szlam, Douwe Kiela, Jason Weston - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2018 cited by 1,193

  4. BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage

    Authors: Kurt Shuster, Jing Xu, Mojtaba Komeili, Da Ju, Eric Michael Smith, Stephen Roller, Megan Ung, Moya Chen, Kushal Arora, Joshua Lane, Morteza Behrooz, William Ngan, Spencer Poff, Naman Goyal, Arthur Szlam, Y-Lan Boureau, Melanie Kambadur, Jason Weston - arXiv (Cornell University), CoRR 2022 cited by 232

  5. CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory

    Authors: Nur Muhammad (Mahi) Shafiullah, Chris Paxton, Lerrel Pinto, Soumith Chintala, Arthur Szlam - Robotics: Science and Systems XIX 2023 cited by 118

  6. DiLoCo: Distributed Low-Communication Training of Language Models

    Authors: Arthur Douillard, Qixuang Feng, Andrei A. Rusu, Rachita Chhaparia, Yani Donchev, Adhiguna Kuncoro, Marc'Aurelio Ranzato, Arthur Szlam, Jiajun Shen - arXiv (Cornell University), CoRR 2023 cited by 93

  7. Beyond Goldfish Memory: Long-Term Open-Domain Conversation

    Authors: Jing Xu, Arthur Szlam, Jason Weston - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2022 cited by 176

  8. Real or Fake? Learning to Discriminate Machine from Human Generated Text

    Authors: Anton Bakhtin, Sam Gross, Myle Ott, Yuntian Deng, Marc'Aurelio Ranzato, Arthur Szlam - arXiv (Cornell University), CoRR 2019 cited by 105

  9. Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks

    Authors: Emily L. Denton, Soumith Chintala, Arthur Szlam, Rob Fergus - NIPS 2015 cited by 2,348

  10. Multi-Party Chat: Conversational Agents in Group Settings with Humans and Models

    Authors: Jimmy Wei, Kurt Shuster, Arthur Szlam, Jason Weston, Jack Urbanek, Mojtaba Komeili - arXiv (Cornell University), CoRR 2023 cited by 44

  11. Optimizing the Latent Space of Generative Networks

    Authors: Piotr Bojanowski, Armand Joulin, David Lopez-Paz, Arthur Szlam - International Conference on Machine Learning, ICML 2018 cited by 462

  12. Linguistic calibration through metacognition: aligning dialogue agent responses with expected correctness

    Authors: Sabrina J. Mielke, Arthur Szlam, Emily Dinan, Y-Lan Boureau - Transactions of the Association for Computational Linguistics, Trans. Assoc. Comput. Linguistics 2022 cited by 63

  13. Learning Multiagent Communication with Backpropagation

    Authors: Sainbayar Sukhbaatar, Arthur Szlam, Rob Fergus - NIPS 2016 cited by 1,370

  14. A Randomized Algorithm for Principal Component Analysis

    Authors: Vladimir Rokhlin, Arthur Szlam, Mark Tygert - SIAM Journal on Matrix Analysis and Applications, SIAM J. Matrix Anal. Appl. 2009 cited by 441

  15. The Second Conversational Intelligence Challenge (ConvAI2)

    Authors: Emily Dinan, Varvara Logacheva, Valentin Malykh, Alexander H. Miller, Kurt Shuster, Jack Urbanek, Douwe Kiela, Arthur Szlam, Iulian Serban, Ryan Lowe, Shrimai Prabhumoye, Alan W. Black, Alexander I. Rudnicky, Jason D. Williams, Joelle Pineau, Mikhail Burtsev, Jason Weston - ˜The œSpringer series on challenges in machine learning 2019 cited by 366

  16. Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play

    Authors: Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov, Gabriel Synnaeve, Arthur Szlam, Rob Fergus - International Conference on Learning Representations, ICLR (Poster) 2018 cited by 374

  17. Video (language) modeling: a baseline for generative models of natural videos

    Authors: Marc'Aurelio Ranzato, Arthur Szlam, Joan Bruna, Michaël Mathieu, Ronan Collobert, Sumit Chopra - arXiv (Cornell University), CoRR 2014 cited by 310

  18. Hash Layers For Large Sparse Models

    Authors: Stephen Roller, Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston - Neural Information Processing Systems, NeurIPS 2021 cited by 301

  19. Asynchronous Local-SGD Training for Language Modeling

    Authors: Bo Liu, Rachita Chhaparia, Arthur Douillard, Satyen Kale, Andrei A. Rusu, Jiajun Shen, Arthur Szlam, Marc'Aurelio Ranzato - arXiv (Cornell University), CoRR 2024 cited by 20

  20. Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch

    Authors: Arthur Douillard, Yanislav Donchev, Keith Rush, Satyen Kale, Zachary Charles, Zachary Garrett, Gabriel Teston, Dave Lacey, Ross McIlroy, Jiajun Shen, Alexandre Ramé, Arthur Szlam, Marc'Aurelio Ranzato, Paul Barham - ArXiv.org, CoRR 2025 cited by 19

  21. Residual Energy-Based Models for Text Generation

    Authors: Yuntian Deng, Anton Bakhtin, Myle Ott, Arthur Szlam, Marc'Aurelio Ranzato - ICLR 2020 cited by 150

  22. Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt Completion

    Authors: Kurt Shuster, Mojtaba Komeili, Leonard Adolphs, Stephen Roller, Arthur Szlam, Jason Weston - Findings of the Association for Computational Linguistics: EMNLP 2022, EMNLP (Findings) 2022 cited by 62

  23. Deliberation in Latent Space via Differentiable Cache Augmentation

    Authors: Luyang Liu, Jonas Pfeiffer, Jiaxing Wu, Jun Xie, Arthur Szlam - ICML 2025 cited by 19

  24. Simple Baseline for Visual Question Answering

    Authors: Bolei Zhou, Yuandong Tian, Sainbayar Sukhbaatar, Arthur Szlam, Rob Fergus - arXiv (Cornell University), CoRR 2015 cited by 292