Arthur Szlam
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
41
Venues
14
Active years
2009–2025
Best venue rank
A*
Where they publish
Papers
41 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Deliberation in Latent Space via Differentiable Cache Augmentation. | Luyang Liu, Jonas Pfeiffer, Jiaxing Wu, Jun Xie, Arthur Szlam |
| 2023 | AAAI | A Data Source for Reasoning Embodied Agents. | Jack Lanchantin, Sainbayar Sukhbaatar, Gabriel Synnaeve, Yuxuan Sun, Kavya Srinet, Arthur Szlam |
| 2022 | ACL | Beyond Goldfish Memory: Long-Term Open-Domain Conversation. | Jing Xu, Arthur Szlam, Jason Weston |
| 2022 | BMVC | Can I see an Example? Active Learning the Long Tail of Attributes and Relations. | Tyler L. Hayes, Maximilian Nickel, Christopher Kanan, Ludovic Denoyer, Arthur Szlam |
| 2022 | EMNLP | Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt Completion. | Kurt Shuster, Mojtaba Komeili, Leonard Adolphs, Stephen Roller, Arthur Szlam, Jason Weston |
| 2022 | EMNLP | Reason first, then respond: Modular Generation for Knowledge-infused Dialogue. | Leonard Adolphs, Kurt Shuster, Jack Urbanek, Arthur Szlam, Jason Weston |
| 2022 | NAACL | Am I Me or You? State-of-the-Art Dialogue Models Cannot Maintain an Identity. | Kurt Shuster, Jack Urbanek, Arthur Szlam, Jason Weston |
| 2021 | ACL | Dialogue in the Wild: Learning from a Deployed Role-Playing Game with Humans and Bots. | Kurt Shuster, Jack Urbanek, Emily Dinan, Arthur Szlam, Jason Weston |
| 2021 | ICML | Not All Memories are Created Equal: Learning to Forget by Expiring. | Sainbayar Sukhbaatar, Da Ju, Spencer Poff, Stephen Roller, Arthur Szlam, Jason Weston, Angela Fan |
| 2021 | ICML | CURI: A Benchmark for Productive Concept Learning Under Uncertainty. | Ramakrishna Vedantam, Arthur Szlam, Maximilian Nickel, Ari Morcos, Brenden M. Lake |
| 2021 | ICRA | droidlet: modular, heterogenous, multi-modal agents. | Anurag Pratik, Soumith Chintala, Kavya Srinet, Dhiraj Gandhi, Rebecca Qian, Yuxuan Sun, Ryan Drew, Sara Elkafrawy, Anoushka Tiwari, Tucker Hart, Mary Williamson, Abhinav Gupta, Arthur Szlam |
| 2021 | NAACL | How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds. | Prithviraj Ammanabrolu, Jack Urbanek, Margaret Li, Arthur Szlam, Tim Rocktschel, Jason Weston |
| 2020 | AAAI | Generating Interactive Worlds with Text. | Angela Fan, Jack Urbanek, Pratik Ringshia, Emily Dinan, Emma Qian, Siddharth Karamcheti, Shrimai Prabhumoye, Douwe Kiela, Tim Rocktschel, Arthur Szlam, Jason Weston |
| 2020 | ACL | CraftAssist Instruction Parsing: Semantic Parsing for a Voxel-World Assistant. | Kavya Srinet, Yacine Jernite, Jonathan Gray, Arthur Szlam |
| 2020 | ICLR | Residual Energy-Based Models for Text Generation. | Yuntian Deng, Anton Bakhtin, Myle Ott, Arthur Szlam, Marc'Aurelio Ranzato |
| 2020 | ICML | Fast Adaptation to New Environments via Policy-Dynamics Value Functions. | Roberta Raileanu, Maxwell Goldstein, Arthur Szlam, Rob Fergus |
| 2019 | ACL | Dialogue Natural Language Inference. | Sean Welleck, Jason Weston, Arthur Szlam, Kyunghyun Cho |
| 2019 | EMNLP | Learning to Speak and Act in a Fantasy Text Adventure Game. | Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktschel, Douwe Kiela, Arthur Szlam, Jason Weston |
| 2019 | ICCV | Order-Aware Generative Modeling Using the 3D-Craft Dataset. | Zhuoyuan Chen, Kavya Srinet, Charles R. Qi, Haoqi Fan, Jerry Ma, Larry Zitnick, Demi Guo, Tong Xiao, Saining Xie, Xinlei Chen, Arthur Szlam, Shubham Tulsiani, Haonan Yu, Jonathan Gray |
| 2019 | ICLR | Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies. | Kenneth Marino, Abhinav Gupta, Rob Fergus, Arthur Szlam |
| 2018 | ACL | Personalizing Dialogue Agents: I have a dog, do you have pets too? | Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur Szlam, Douwe Kiela, Jason Weston |
| 2018 | CVPR | Low-Shot Learning With Large-Scale Diffusion. | Matthijs Douze, Arthur Szlam, Bharath Hariharan, Herv Jgou |
| 2018 | ICLR | Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play. | Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov, Gabriel Synnaeve, Arthur Szlam, Rob Fergus |
| 2018 | ICLR | Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent. | Zhilin Yang, Saizheng Zhang, Jack Urbanek, Will Feng, Alexander H. Miller, Arthur Szlam, Douwe Kiela, Jason Weston |
| 2018 | ICML | Optimizing the Latent Space of Generative Networks. | Piotr Bojanowski, Armand Joulin, David Lopez-Paz, Arthur Szlam |
| 2018 | ICML | Modeling Others using Oneself in Multi-Agent Reinforcement Learning. | Roberta Raileanu, Emily Denton, Arthur Szlam, Rob Fergus |
| 2018 | ICML | Composable Planning with Attributes. | Amy Zhang, Sainbayar Sukhbaatar, Adam Lerer, Arthur Szlam, Rob Fergus |
| 2017 | CVPR | Hard Mixtures of Experts for Large Scale Weakly Supervised Vision. | Sam Gross, Marc'Aurelio Ranzato, Arthur Szlam |
| 2017 | ICLR | Tracking the World State with Recurrent Entity Networks. | Mikael Henaff, Jason Weston, Arthur Szlam, Antoine Bordes, Yann LeCun |
| 2017 | ICLR | Automatic Rule Extraction from Long Short Term Memory Networks. | W. James Murdoch, Arthur Szlam |
| 2016 | ICML | Recurrent Orthogonal Networks and Long-Memory Tasks. | Mikael Henaff, Arthur Szlam, Yann LeCun |
| 2014 | CVPR | Better Feature Tracking through Subspace Constraints. | Bryan Poling, Gilad Lerman, Arthur Szlam |
| 2014 | ICASSP | K-mappings and Regression trees. | Yi Wang, Arthur Szlam |
| 2014 | ICML | Signal recovery from Pooling Representations. | Joan Bruna Estrach, Arthur Szlam, Yann LeCun |
| 2014 | SDM | Unsupervised Feature Learning by Deep Sparse Coding. | Yunlong He, Koray Kavukcuoglu, Yun Wang, Arthur Szlam, Yanjun Qi |
| 2012 | CVPR | Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video. | Jun He, Laura Balzano, Arthur Szlam |
| 2012 | ECCV | Fast Approximations to Structured Sparse Coding and Applications to Object Classification. | Arthur Szlam, Karol Gregor, Yann LeCun |
| 2010 | CVPR | Randomized hybrid linear modeling by local best-fit flats. | Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman |
| 2010 | ICIP | A split Bregman method for non-negative sparsity penalized least squares with applications to hyperspectral demixing. | Arthur Szlam, Zhaohui Guo, Stanley J. Osher |
| 2010 | ICML | Total Variation, Cheeger Cuts. | Arthur Szlam, Xavier Bresson |
| 2009 | ICML | Discriminative | Arthur Szlam, Guillermo Sapiro |