Szlam, Arthur

Spectral Networks and Locally Connected Networks on Graphs

Bruna, J., Zaremba, W., Szlam, A., & LeCun, Y. (2013) · arXiv

Advanced Graph Neural NetworksNeural Networks and Applications

Cited by 3,983

Geometric Deep Learning: Going beyond Euclidean data

Bronstein, M. M., Bruna, J., LeCun, Y., Szlam, A., & Vandergheynst, P. (2017) · IEEE Signal Processing Magazine

Advanced Graph Neural NetworksTopological and Geometric Data Analysis

Cited by 3,661

End-to-end memory networks

Sukhbaatar, S., Szlam, A., Weston, J., & Fergus, R. (2015) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1,345

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

Zhang, S., Dinan, E., Urbanek, J., Szlam, A., Kiela, D., & Weston, J. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Speech and dialogue systemsAI in Service Interactions

Cited by 1,177

The Second Conversational Intelligence Challenge (ConvAI2)

Dinan, E., Logacheva, V., Malykh, V., Miller, A., Shuster, K., Urbanek, J., Kiela, D., Szlam, A., Serban, I., Lowe, R., et al. (2019) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 355

Dialogue Natural Language Inference

Welleck, S., Weston, J., Szlam, A., & Cho, K. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 249

Beyond Goldfish Memory: Long-Term Open-Domain Conversation

Xu, J., Szlam, A., & Weston, J. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Speech and dialogue systemsTopic Modeling

Cited by 188

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

Zhang, S., Dinan, E., Urbanek, J., Szlam, A., Kiela, D., & Weston, J. (2018) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 165

Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play

Sukhbaatar, S., Lin, Z., Kostrikov, I., Synnaeve, G., Szlam, A., & Fergus, R. (2017) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 149

Beyond Goldfish Memory: Long-Term Open-Domain Conversation

Xu, J., Szlam, A., & Weston, J. (2021) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 148

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

Shuster, K., Xu, J., Komeili, M., Ju, D., Smith, E. M., Roller, S., Ung, M., Chen, M., Arora, K., Lane, J., et al. (2022) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 95

A mathematical motivation for complex-valued convolutional networks

Tygert, M., Bruna, J., Chintala, S., LeCun, Y., Piantino, S., & Szlam, A. (2016) · Neural Computation

Mathematical Analysis and Transform MethodsNeural Networks and Applications

Cited by 88

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

Bakhtin, A., Gross, S., Ott, M., Deng, Y., Ranzato, M., & Szlam, A. (2019) · arXiv

Topic ModelingAuthorship Attribution and Profiling

Cited by 77

Reducing conversational agents' overconfidence through linguistic calibration

Mielke, S. J., Szlam, A., Dinan, E., & Boureau, Y.-L. (2020) · arXiv

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 72

Reducing Conversational Agents’ Overconfidence Through Linguistic Calibration

Mielke, S. J., Szlam, A., Dinan, E., & Boureau, Y.-L. (2022) · Transactions of the Association for Computational Linguistics

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 72

Hash Layers For Large Sparse Models

Roller, S., Sukhbaatar, S., Szlam, A., & Weston, J. (2021) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 66

Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions

Roller, S., Boureau, Y.-L., Weston, J., Bordes, A., Dinan, E., Fan, A., Gunning, D., Ju, D., Li, M., Poff, S., et al. (2020) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 38

Reason first, then respond: Modular Generation for Knowledge-infused Dialogue

Adolphs, L., Shuster, K., Urbanek, J., Szlam, A., & Weston, J. (2022) · Findings of the Association for Computational Linguistics: EMNLP 2022

Speech and dialogue systemsTopic Modeling

Cited by 25

Am I Me or You? State-of-the-Art Dialogue Models Cannot Maintain an Identity

Shuster, K., Urbanek, J., Szlam, A., & Weston, J. (2022) · Findings of the Association for Computational Linguistics: NAACL 2022

Speech and dialogue systemsIntelligent Tutoring Systems and Adaptive Learning

Cited by 20

Reason first, then respond: Modular Generation for Knowledge-infused Dialogue

Adolphs, L., Shuster, K., Urbanek, J., Szlam, A., & Weston, J. (2021) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 1