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2020 – today
- 2024
[i78]Bo Liu, Rachita Chhaparia, Arthur Douillard, Satyen Kale, Andrei A. Rusu, Jiajun Shen, Arthur Szlam, Marc'Aurelio Ranzato:
Asynchronous Local-SGD Training for Language Modeling. CoRR abs/2401.09135 (2024)- [i77]Arthur Douillard, Qixuan Feng, Andrei A. Rusu, Adhiguna Kuncoro, Yani Donchev, Rachita Chhaparia, Ionel Gog, Marc'Aurelio Ranzato, Jiajun Shen, Arthur Szlam:
DiPaCo: Distributed Path Composition. CoRR abs/2403.10616 (2024) - 2023
- [c58]Jack Lanchantin, Sainbayar Sukhbaatar, Gabriel Synnaeve, Yuxuan Sun, Kavya Srinet, Arthur Szlam:
A Data Source for Reasoning Embodied Agents. AAAI 2023: 8438-8446 - [c57]Jack Lanchantin, Shubham Toshniwal, Jason Weston, Arthur Szlam, Sainbayar Sukhbaatar:
Learning to Reason and Memorize with Self-Notes. NeurIPS 2023 - [c56]Nur Muhammad (Mahi) Shafiullah, Chris Paxton, Lerrel Pinto, Soumith Chintala, Arthur Szlam:
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory. Robotics: Science and Systems 2023 - [i76]Alexander Gurung, Mojtaba Komeili, Arthur Szlam, Jason Weston, Jack Urbanek:
Infusing Commonsense World Models with Graph Knowledge. CoRR abs/2301.05746 (2023) - [i75]Jimmy Wei, Kurt Shuster, Arthur Szlam, Jason Weston, Jack Urbanek, Mojtaba Komeili:
Multi-Party Chat: Conversational Agents in Group Settings with Humans and Models. CoRR abs/2304.13835 (2023) - [i74]Jack Lanchantin, Shubham Toshniwal, Jason Weston, Arthur Szlam, Sainbayar Sukhbaatar:
Learning to Reason and Memorize with Self-Notes. CoRR abs/2305.00833 (2023) - [i73]Shrestha Mohanty, Negar Arabzadeh, Julia Kiseleva, Artem Zholus, Milagro Teruel, Ahmed Awadallah, Yuxuan Sun, Kavya Srinet, Arthur Szlam:
Transforming Human-Centered AI Collaboration: Redefining Embodied Agents Capabilities through Interactive Grounded Language Instructions. CoRR abs/2305.10783 (2023) - [i72]Jack Lanchantin, Sainbayar Sukhbaatar, Gabriel Synnaeve, Yuxuan Sun, Kavya Srinet, Arthur Szlam:
A Data Source for Reasoning Embodied Agents. CoRR abs/2309.07974 (2023) - [i71]Arthur Douillard, Qixuang Feng, Andrei A. Rusu, Rachita Chhaparia, Yani Donchev, Adhiguna Kuncoro, Marc'Aurelio Ranzato, Arthur Szlam, Jiajun Shen:
DiLoCo: Distributed Low-Communication Training of Language Models. CoRR abs/2311.08105 (2023) - 2022
- [j10]Sabrina J. Mielke, Arthur Szlam, Emily Dinan, Y-Lan Boureau:
Reducing Conversational Agents' Overconfidence through Linguistic Calibration. Trans. Assoc. Comput. Linguistics 10: 857-872 (2022) - [c55]Jing Xu, Arthur Szlam, Jason Weston:
Beyond Goldfish Memory: Long-Term Open-Domain Conversation. ACL (1) 2022: 5180-5197 - [c54]Tyler L. Hayes, Maximilian Nickel, Christopher Kanan, Ludovic Denoyer, Arthur Szlam:
Can I see an Example? Active Learning the Long Tail of Attributes and Relations. BMVC 2022: 134 - [c53]Kurt Shuster, Mojtaba Komeili, Leonard Adolphs, Stephen Roller, Arthur Szlam, Jason Weston:
Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt Completion. EMNLP (Findings) 2022: 373-393 - [c52]Leonard Adolphs, Kurt Shuster, Jack Urbanek, Arthur Szlam, Jason Weston:
Reason first, then respond: Modular Generation for Knowledge-infused Dialogue. EMNLP (Findings) 2022: 7112-7132 - [c51]Kurt Shuster, Jack Urbanek, Arthur Szlam, Jason Weston:
Am I Me or You? State-of-the-Art Dialogue Models Cannot Maintain an Identity. NAACL-HLT (Findings) 2022: 2367-2387 - [i70]Tyler L. Hayes, Maximilian Nickel
, Christopher Kanan, Ludovic Denoyer, Arthur Szlam:
Can I see an Example? Active Learning the Long Tail of Attributes and Relations. CoRR abs/2203.06215 (2022) - [i69]Kurt Shuster, Mojtaba Komeili, Leonard Adolphs, Stephen Roller, Arthur Szlam, Jason Weston:
Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt Completion. CoRR abs/2203.13224 (2022) - [i68]Yuxuan Sun, Ethan Carlson, Rebecca Qian, Kavya Srinet, Arthur Szlam:
Many Episode Learning in a Modular Embodied Agent via End-to-End Interaction. CoRR abs/2204.08687 (2022) - [i67]Julia Kiseleva, Ziming Li, Mohammad Aliannejadi, Shrestha Mohanty, Maartje ter Hoeve, Mikhail Burtsev, Alexey Skrynnik, Artem Zholus, Aleksandr I. Panov, Kavya Srinet, Arthur Szlam, Yuxuan Sun, Marc-Alexandre Côté, Katja Hofmann, Ahmed Awadallah, Linar Abdrazakov, Igor Churin, Putra Manggala, Kata Naszádi, Michiel van der Meer, Taewoon Kim:
Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021. CoRR abs/2205.02388 (2022) - [i66]Julia Kiseleva, Alexey Skrynnik, Artem Zholus, Shrestha Mohanty, Negar Arabzadeh, Marc-Alexandre Côté, Mohammad Aliannejadi, Milagro Teruel, Ziming Li, Mikhail Burtsev, Maartje ter Hoeve, Zoya Volovikova, Aleksandr I. Panov, Yuxuan Sun, Kavya Srinet, Arthur Szlam, Ahmed Awadallah:
IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022. CoRR abs/2205.13771 (2022) - [i65]Artem Zholus, Alexey Skrynnik, Shrestha Mohanty, Zoya Volovikova, Julia Kiseleva, Arthur Szlam, Marc-Alexandre Côté, Aleksandr I. Panov:
IGLU Gridworld: Simple and Fast Environment for Embodied Dialog Agents. CoRR abs/2206.00142 (2022) - [i64]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:
BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage. CoRR abs/2208.03188 (2022) - [i63]Nur Muhammad (Mahi) Shafiullah, Chris Paxton, Lerrel Pinto, Soumith Chintala, Arthur Szlam:
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory. CoRR abs/2210.05663 (2022) - [i62]Shrestha Mohanty, Negar Arabzadeh, Milagro Teruel, Yuxuan Sun, Artem Zholus, Alexey Skrynnik, Mikhail Burtsev, Kavya Srinet, Aleksandr Panov, Arthur Szlam, Marc-Alexandre Côté, Julia Kiseleva:
Collecting Interactive Multi-modal Datasets for Grounded Language Understanding. CoRR abs/2211.06552 (2022) - 2021
- [j9]Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam:
Residual Energy-Based Models for Text. J. Mach. Learn. Res. 22: 40:1-40:41 (2021) - [c50]Kurt Shuster, Jack Urbanek, Emily Dinan, Arthur Szlam, Jason Weston:
Dialogue in the Wild: Learning from a Deployed Role-Playing Game with Humans and Bots. ACL/IJCNLP (Findings) 2021: 611-624 - [c49]Sainbayar Sukhbaatar, Da Ju, Spencer Poff, Stephen Roller, Arthur Szlam, Jason Weston, Angela Fan:
Not All Memories are Created Equal: Learning to Forget by Expiring. ICML 2021: 9902-9912 - [c48]Ramakrishna Vedantam, Arthur Szlam, Maximilian Nickel, Ari Morcos, Brenden M. Lake:
CURI: A Benchmark for Productive Concept Learning Under Uncertainty. ICML 2021: 10519-10529 - [c47]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:
droidlet: modular, heterogenous, multi-modal agents. ICRA 2021: 13716-13723 - [c46]Prithviraj Ammanabrolu, Jack Urbanek, Margaret Li, Arthur Szlam, Tim Rocktäschel, Jason Weston:
How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds. NAACL-HLT 2021: 807-833 - [c45]Julia Kiseleva, Ziming Li, Mohammad Aliannejadi, Shrestha Mohanty, Maartje ter Hoeve, Mikhail Burtsev, Alexey Skrynnik, Artem Zholus, Aleksandr Panov, Kavya Srinet, Arthur Szlam, Yuxuan Sun, Katja Hofmann, Marc-Alexandre Côté, Ahmed Hassan Awadallah, Linar Abdrazakov, Igor Churin, Putra Manggala, Kata Naszádi, Michiel van der Meer, Taewoon Kim:
Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021. NeurIPS (Competition and Demos) 2021: 146-161 - [c44]Julia Kiseleva, Alexey Skrynnik, Artem Zholus, Shrestha Mohanty, Negar Arabzadeh, Marc-Alexandre Côté, Mohammad Aliannejadi, Milagro Teruel, Ziming Li, Mikhail Burtsev, Maartje ter Hoeve, Zoya Volovikova, Aleksandr Panov, Yuxuan Sun, Kavya Srinet, Arthur Szlam, Ahmed Awadallah, Seungeun Rho, Taehwan Kwon, Daniel Wontae Nam, Felipe Bivort Haiek, Edwin Zhang, Linar Abdrazakov, Guo Qingyam, Jason Zhang, Zhibin Guo:
Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition. NeurIPS (Competition and Demos) 2021: 204-216 - [c43]Stephen Roller, Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston:
Hash Layers For Large Sparse Models. NeurIPS 2021: 17555-17566 - [i61]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:
droidlet: modular, heterogenous, multi-modal agents. CoRR abs/2101.10384 (2021) - [i60]Sainbayar Sukhbaatar, Da Ju, Spencer Poff, Stephen Roller, Arthur Szlam, Jason Weston, Angela Fan:
Not All Memories are Created Equal: Learning to Forget by Expiring. CoRR abs/2105.06548 (2021) - [i59]Stephen Roller, Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston:
Hash Layers For Large Sparse Models. CoRR abs/2106.04426 (2021) - [i58]Jing Xu, Arthur Szlam, Jason Weston:
Beyond Goldfish Memory: Long-Term Open-Domain Conversation. CoRR abs/2107.07567 (2021) - [i57]Julia Kiseleva, Ziming Li, Mohammad Aliannejadi, Shrestha Mohanty, Maartje ter Hoeve, Mikhail Burtsev, Alexey Skrynnik, Artem Zholus, Aleksandr I. Panov, Kavya Srinet, Arthur Szlam, Yuxuan Sun, Katja Hofmann, Michel Galley, Ahmed Hassan Awadallah:
NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment. CoRR abs/2110.06536 (2021) - [i56]Leonard Adolphs, Kurt Shuster, Jack Urbanek, Arthur Szlam, Jason Weston:
Reason first, then respond: Modular Generation for Knowledge-infused Dialogue. CoRR abs/2111.05204 (2021) - [i55]Kurt Shuster, Jack Urbanek, Arthur Szlam, Jason Weston:
Am I Me or You? State-of-the-Art Dialogue Models Cannot Maintain an Identity. CoRR abs/2112.05843 (2021) - 2020
- [c42]Angela Fan, Jack Urbanek, Pratik Ringshia, Emily Dinan, Emma Qian, Siddharth Karamcheti, Shrimai Prabhumoye, Douwe Kiela, Tim Rocktäschel, Arthur Szlam, Jason Weston:
Generating Interactive Worlds with Text. AAAI 2020: 1693-1700 - [c41]Kavya Srinet, Yacine Jernite, Jonathan Gray, Arthur Szlam:
CraftAssist Instruction Parsing: Semantic Parsing for a Voxel-World Assistant. ACL 2020: 4693-4714 - [c40]Yuntian Deng, Anton Bakhtin, Myle Ott, Arthur Szlam, Marc'Aurelio Ranzato:
Residual Energy-Based Models for Text Generation. ICLR 2020 - [c39]Roberta Raileanu, Maxwell Goldstein, Arthur Szlam, Rob Fergus:
Fast Adaptation to New Environments via Policy-Dynamics Value Functions. ICML 2020: 7920-7931 - [i54]Shrimai Prabhumoye, Margaret Li, Jack Urbanek, Emily Dinan, Douwe Kiela, Jason Weston, Arthur Szlam:
I love your chain mail! Making knights smile in a fantasy game world: Open-domain goal-oriented dialogue agents. CoRR abs/2002.02878 (2020) - [i53]Lina Mezghani, Sainbayar Sukhbaatar, Arthur Szlam, Armand Joulin, Piotr Bojanowski:
Learning to Visually Navigate in Photorealistic Environments Without any Supervision. CoRR abs/2004.04954 (2020) - [i52]Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam:
Energy-Based Models for Text. CoRR abs/2004.10188 (2020) - [i51]Yuntian Deng, Anton Bakhtin, Myle Ott, Arthur Szlam, Marc'Aurelio Ranzato:
Residual Energy-Based Models for Text Generation. CoRR abs/2004.11714 (2020) - [i50]Stephen Roller, Y-Lan Boureau, Jason Weston, Antoine Bordes, Emily Dinan, Angela Fan, David Gunning, Da Ju, Margaret Li, Spencer Poff, Pratik Ringshia, Kurt Shuster, Eric Michael Smith, Arthur Szlam, Jack Urbanek, Mary Williamson:
Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions. CoRR abs/2006.12442 (2020) - [i49]Kenneth Marino, Rob Fergus, Arthur Szlam, Abhinav Gupta:
Empirically Verifying Hypotheses Using Reinforcement Learning. CoRR abs/2006.15762 (2020) - [i48]Roberta Raileanu, Maxwell Goldstein, Arthur Szlam, Rob Fergus:
Fast Adaptation via Policy-Dynamics Value Functions. CoRR abs/2007.02879 (2020) - [i47]Kurt Shuster, Jack Urbanek, Emily Dinan, Arthur Szlam, Jason Weston:
Deploying Lifelong Open-Domain Dialogue Learning. CoRR abs/2008.08076 (2020) - [i46]Prithviraj Ammanabrolu, Jack Urbanek, Margaret Li, Arthur Szlam, Tim Rocktäschel, Jason Weston:
How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds. CoRR abs/2010.00685 (2020) - [i45]Ramakrishna Vedantam, Arthur Szlam, Maximilian Nickel, Ari Morcos, Brenden M. Lake:
CURI: A Benchmark for Productive Concept Learning Under Uncertainty. CoRR abs/2010.02855 (2020) - [i44]Lajanugen Logeswaran, Ann Lee, Myle Ott, Honglak Lee, Marc'Aurelio Ranzato, Arthur Szlam:
Few-shot Sequence Learning with Transformers. CoRR abs/2012.09543 (2020) - [i43]Sabrina J. Mielke, Arthur Szlam, Y-Lan Boureau, Emily Dinan:
Linguistic calibration through metacognition: aligning dialogue agent responses with expected correctness. CoRR abs/2012.14983 (2020)
2010 – 2019
- 2019
- [c38]Sean Welleck, Jason Weston, Arthur Szlam, Kyunghyun Cho:
Dialogue Natural Language Inference. ACL (1) 2019: 3731-3741 - [c37]Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, Jason Weston:
Learning to Speak and Act in a Fantasy Text Adventure Game. EMNLP/IJCNLP (1) 2019: 673-683 - [c36]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:
Order-Aware Generative Modeling Using the 3D-Craft Dataset. ICCV 2019: 1764-1773 - [c35]Kenneth Marino, Abhinav Gupta, Rob Fergus, Arthur Szlam:
Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies. ICLR (Poster) 2019 - [i42]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 Second Conversational Intelligence Challenge (ConvAI2). CoRR abs/1902.00098 (2019) - [i41]Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, Jason Weston:
Learning to Speak and Act in a Fantasy Text Adventure Game. CoRR abs/1903.03094 (2019) - [i40]Yacine Jernite, Kavya Srinet, Jonathan Gray, Arthur Szlam:
CraftAssist Instruction Parsing: Semantic Parsing for a Minecraft Assistant. CoRR abs/1905.01978 (2019) - [i39]Anton Bakhtin, Sam Gross, Myle Ott, Yuntian Deng, Marc'Aurelio Ranzato, Arthur Szlam:
Real or Fake? Learning to Discriminate Machine from Human Generated Text. CoRR abs/1906.03351 (2019) - [i38]Jonathan Gray, Kavya Srinet, Yacine Jernite, Haonan Yu, Zhuoyuan Chen, Demi Guo, Siddharth Goyal, C. Lawrence Zitnick, Arthur Szlam:
CraftAssist: A Framework for Dialogue-enabled Interactive Agents. CoRR abs/1907.08584 (2019) - [i37]Arthur Szlam, Jonathan Gray, Kavya Srinet, Yacine Jernite, Armand Joulin, Gabriel Synnaeve, Douwe Kiela, Haonan Yu, Zhuoyuan Chen, Siddharth Goyal, Demi Guo, Danielle Rothermel, C. Lawrence Zitnick, Jason Weston:
Why Build an Assistant in Minecraft? CoRR abs/1907.09273 (2019) - [i36]Angela Fan, Jack Urbanek, Pratik Ringshia, Emily Dinan, Emma Qian, Siddharth Karamcheti, Shrimai Prabhumoye, Douwe Kiela, Tim Rocktäschel, Arthur Szlam, Jason Weston:
Generating Interactive Worlds with Text. CoRR abs/1911.09194 (2019) - 2018
- [c34]Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur Szlam, Douwe Kiela, Jason Weston:
Personalizing Dialogue Agents: I have a dog, do you have pets too? ACL (1) 2018: 2204-2213 - [c33]Matthijs Douze, Arthur Szlam, Bharath Hariharan, Hervé Jégou:
Low-Shot Learning With Large-Scale Diffusion. CVPR 2018: 3349-3358 - [c32]Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov, Gabriel Synnaeve, Arthur Szlam, Rob Fergus:
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play. ICLR (Poster) 2018 - [c31]Zhilin Yang, Saizheng Zhang, Jack Urbanek, Will Feng, Alexander H. Miller, Arthur Szlam, Douwe Kiela, Jason Weston:
Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent. ICLR (Poster) 2018 - [c30]Piotr Bojanowski, Armand Joulin, David Lopez-Paz, Arthur Szlam:
Optimizing the Latent Space of Generative Networks. ICML 2018: 599-608 - [c29]Roberta Raileanu, Emily Denton, Arthur Szlam, Rob Fergus:
Modeling Others using Oneself in Multi-Agent Reinforcement Learning. ICML 2018: 4254-4263 - [c28]Amy Zhang, Sainbayar Sukhbaatar, Adam Lerer, Arthur Szlam, Rob Fergus:
Composable Planning with Attributes. ICML 2018: 5837-5846 - [i35]Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur Szlam, Douwe Kiela, Jason Weston:
Personalizing Dialogue Agents: I have a dog, do you have pets too? CoRR abs/1801.07243 (2018) - [i34]Roberta Raileanu, Emily Denton, Arthur Szlam, Rob Fergus:
Modeling Others using Oneself in Multi-Agent Reinforcement Learning. CoRR abs/1802.09640 (2018) - [i33]Amy Zhang, Adam Lerer, Sainbayar Sukhbaatar, Rob Fergus, Arthur Szlam:
Composable Planning with Attributes. CoRR abs/1803.00512 (2018) - [i32]Anton Bakhtin, Arthur Szlam, Marc'Aurelio Ranzato, Edouard Grave:
Lightweight Adaptive Mixture of Neural and N-gram Language Models. CoRR abs/1804.07705 (2018) - [i31]David Folqué, Sainbayar Sukhbaatar, Arthur Szlam, Joan Bruna:
Planning with Arithmetic and Geometric Attributes. CoRR abs/1809.02031 (2018) - [i30]Sean Welleck, Jason Weston, Arthur Szlam, Kyunghyun Cho:
Dialogue Natural Language Inference. CoRR abs/1811.00671 (2018) - [i29]Sainbayar Sukhbaatar, Emily Denton, Arthur Szlam, Rob Fergus:
Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning. CoRR abs/1811.09083 (2018) - 2017
- [j8]Arthur Szlam, Andrew Tulloch, Mark Tygert:
Accurate Low-Rank Approximations Via a Few Iterations of Alternating Least Squares. SIAM J. Matrix Anal. Appl. 38(2): 425-433 (2017) - [j7]Michael M. Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, Pierre Vandergheynst:
Geometric Deep Learning: Going beyond Euclidean data. IEEE Signal Process. Mag. 34(4): 18-42 (2017) - [j6]Huamin Li, George C. Linderman, Arthur Szlam, Kelly P. Stanton, Yuval Kluger, Mark Tygert:
Algorithm 971: An Implementation of a Randomized Algorithm for Principal Component Analysis. ACM Trans. Math. Softw. 43(3): 28:1-28:14 (2017) - [c27]Sam Gross, Marc'Aurelio Ranzato, Arthur Szlam:
Hard Mixtures of Experts for Large Scale Weakly Supervised Vision. CVPR 2017: 5085-5093 - [c26]Mikael Henaff, Jason Weston, Arthur Szlam, Antoine Bordes, Yann LeCun:
Tracking the World State with Recurrent Entity Networks. ICLR (Poster) 2017 - [c25]W. James Murdoch, Arthur Szlam:
Automatic Rule Extraction from Long Short Term Memory Networks. ICLR (Poster) 2017 - [i28]Joost R. van Amersfoort, Anitha Kannan, Marc'Aurelio Ranzato, Arthur Szlam, Du Tran, Soumith Chintala:
Transformation-Based Models of Video Sequences. CoRR abs/1701.08435 (2017) - [i27]W. James Murdoch, Arthur Szlam:
Automatic Rule Extraction from Long Short Term Memory Networks. CoRR abs/1702.02540 (2017) - [i26]Sam Wiseman, Sumit Chopra, Marc'Aurelio Ranzato, Arthur Szlam, Ruoyu Sun, Soumith Chintala, Nicolas Vasilache:
Training Language Models Using Target-Propagation. CoRR abs/1702.04770 (2017) - [i25]Sainbayar Sukhbaatar, Ilya Kostrikov, Arthur Szlam, Rob Fergus:
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play. CoRR abs/1703.05407 (2017) - [i24]Sam Gross, Marc'Aurelio Ranzato, Arthur Szlam:
Hard Mixtures of Experts for Large Scale Weakly Supervised Vision. CoRR abs/1704.06363 (2017) - [i23]Matthijs Douze, Arthur Szlam, Bharath Hariharan, Hervé Jégou:
Low-shot learning with large-scale diffusion. CoRR abs/1706.02332 (2017) - [i22]Piotr Bojanowski, Armand Joulin, David Lopez-Paz, Arthur Szlam:
Optimizing the Latent Space of Generative Networks. CoRR abs/1707.05776 (2017) - [i21]Zhilin Yang, Saizheng Zhang, Jack Urbanek, Will Feng, Alexander H. Miller, Arthur Szlam, Douwe Kiela, Jason Weston:
Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent. CoRR abs/1711.07950 (2017) - 2016
- [j5]Mark Tygert, Joan Bruna, Soumith Chintala, Yann LeCun, Serkan Piantino, Arthur Szlam:
A Mathematical Motivation for Complex-Valued Convolutional Networks. Neural Comput. 28(5): 815-825 (2016) - [c24]Mikael Henaff, Arthur Szlam, Yann LeCun:
Recurrent Orthogonal Networks and Long-Memory Tasks. ICML 2016: 2034-2042 - [c23]Sainbayar Sukhbaatar, Arthur Szlam, Rob Fergus:
Learning Multiagent Communication with Backpropagation. NIPS 2016: 2244-2252 - [c22]Thomas Laurent, James H. von Brecht, Xavier Bresson, Arthur Szlam:
The Product Cut. NIPS 2016: 3792-3800 - [c21]Jesse Dodge, Andreea Gane, Xiang Zhang, Antoine Bordes, Sumit Chopra, Alexander H. Miller, Arthur Szlam, Jason Weston:
Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems. ICLR (Poster) 2016 - [i20]Mikael Henaff, Arthur Szlam, Yann LeCun:
Orthogonal RNNs and Long-Memory Tasks. CoRR abs/1602.06662 (2016) - [i19]Arthur Szlam, Andrew Tulloch, Mark Tygert:
Accurate principal component analysis via a few iterations of alternating least squares. CoRR abs/1603.01765 (2016) - [i18]Sainbayar Sukhbaatar, Arthur Szlam, Rob Fergus:
Learning Multiagent Communication with Backpropagation. CoRR abs/1605.07736 (2016) - [i17]Michael M. Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, Pierre Vandergheynst:
Geometric deep learning: going beyond Euclidean data. CoRR abs/1611.08097 (2016) - [i16]Mikael Henaff, Jason Weston, Arthur Szlam, Antoine Bordes, Yann LeCun:
Tracking the World State with Recurrent Entity Networks. CoRR abs/1612.03969 (2016) - 2015
- [c20]Emily L. Denton, Soumith Chintala, Arthur Szlam, Rob Fergus:
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks. NIPS 2015: 1486-1494 - [c19]Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, Rob Fergus:
End-To-End Memory Networks. NIPS 2015: 2440-2448 - [i15]Joan Bruna, Soumith Chintala, Yann LeCun, Serkan Piantino, Arthur Szlam, Mark Tygert:
A theoretical argument for complex-valued convolutional networks. CoRR abs/1503.03438 (2015) - [i14]Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, Rob Fergus:
Weakly Supervised Memory Networks. CoRR abs/1503.08895 (2015) - [i13]Emily L. Denton, Soumith Chintala, Arthur Szlam, Robert Fergus:
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks. CoRR abs/1506.05751 (2015) - [i12]Soumith Chintala, Marc'Aurelio Ranzato, Arthur Szlam, Yuandong Tian, Mark Tygert, Wojciech Zaremba:
Scale-invariant learning and convolutional networks. CoRR abs/1506.08230 (2015) - [i11]Sainbayar Sukhbaatar, Arthur Szlam, Gabriel Synnaeve, Soumith Chintala, Rob Fergus:
MazeBase: A Sandbox for Learning from Games. CoRR abs/1511.07401 (2015) - [i10]Bolei Zhou, Yuandong Tian, Sainbayar Sukhbaatar, Arthur Szlam, Rob Fergus:
Simple Baseline for Visual Question Answering. CoRR abs/1512.02167 (2015) - 2014
- [j4]Xavier Bresson, Xue-Cheng Tai, Tony F. Chan, Arthur Szlam:
Multi-class Transductive Learning Based on ℓ 1 Relaxations of Cheeger Cut and Mumford-Shah-Potts Model. J. Math. Imaging Vis. 49(1): 191-201 (2014) - [c18]Bryan Poling, Gilad Lerman, Arthur Szlam:
Better Feature Tracking through Subspace Constraints. CVPR 2014: 3454-3461 - [c17]Yi Wang, Arthur Szlam:
K-mappings and Regression trees. ICASSP 2014: 2937-2941 - [c16]Joan Bruna Estrach, Arthur Szlam, Yann LeCun:
Signal recovery from Pooling Representations. ICML 2014: 307-315 - [c15]Yunlong He, Koray Kavukcuoglu, Yun Wang, Arthur Szlam, Yanjun Qi:
Unsupervised Feature Learning by Deep Sparse Coding. SDM 2014: 902-910 - [c14]Joan Bruna, Wojciech Zaremba, Arthur Szlam, Yann LeCun:
Spectral Networks and Locally Connected Networks on Graphs. ICLR 2014 - [c13]Yunlong He, Koray Kavukcuoglu, Yun Wang, Arthur Szlam, Yanjun Qi:
Unsupervised Feature Learning by Deep Sparse Coding. ICLR (Workshop) 2014 - [i9]Bryan Poling, Gilad Lerman, Arthur Szlam:
Better Feature Tracking Through Subspace Constraints. CoRR abs/1405.2316 (2014) - [i8]Xavier Bresson, Huiyi Hu, Thomas Laurent, Arthur Szlam, James H. von Brecht:
An Incremental Reseeding Strategy for Clustering. CoRR abs/1406.3837 (2014) - [i7]Arthur Szlam, Yuval Kluger, Mark Tygert:
An implementation of a randomized algorithm for principal component analysis. CoRR abs/1412.3510 (2014) - [i6]Marc'Aurelio Ranzato, Arthur Szlam, Joan Bruna, Michaël Mathieu, Ronan Collobert, Sumit Chopra:
Video (language) modeling: a baseline for generative models of natural videos. CoRR abs/1412.6604 (2014) - 2013
- [j3]Yi Wang, Arthur Szlam, Gilad Lerman:
Robust Locally Linear Analysis with Applications to Image Denoising and Blind Inpainting. SIAM J. Imaging Sci. 6(1): 526-562 (2013) - [c12]Joan Bruna, Arthur Szlam, Yann LeCun:
Learning Stable Group Invariant Representations with Convolutional Networks. ICLR (Workshop Poster) 2013 - [c11]Arthur Szlam:
Tree structured sparse coding on cubes. ICLR (Workshop Poster) 2013 - 2012
- [j2]Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman:
Hybrid Linear Modeling via Local Best-Fit Flats. Int. J. Comput. Vis. 100(3): 217-240 (2012) - [c10]Jun He, Laura Balzano, Arthur Szlam:
Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video. CVPR 2012: 1568-1575 - [c9]Arthur Szlam, Karol Gregor, Yann LeCun:
Fast Approximations to Structured Sparse Coding and Applications to Object Classification. ECCV (5) 2012: 200-213 - [c8]Laura Balzano, Arthur Szlam, Benjamin Recht, Robert D. Nowak:
K-subspaces with missing data. SSP 2012: 612-615 - [i5]Arthur Szlam, Karol Gregor, Yann LeCun:
Fast approximations to structured sparse coding and applications to object classification. CoRR abs/1202.6384 (2012) - 2011
- [c7]Arthur Szlam, Karol Gregor, Yann LeCun:
Structured sparse coding via lateral inhibition. NIPS 2011: 1116-1124 - 2010
- [c6]Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman:
Randomized hybrid linear modeling by local best-fit flats. CVPR 2010: 1927-1934 - [c5]Arthur Szlam, Zhaohui Guo, Stanley J. Osher:
A split Bregman method for non-negative sparsity penalized least squares with applications to hyperspectral demixing. ICIP 2010: 1917-1920 - [c4]Arthur Szlam, Xavier Bresson:
Total Variation, Cheeger Cuts. ICML 2010: 1039-1046 - [i4]Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman:
Randomized hybrid linear modeling by local best-fit flats. CoRR abs/1005.0858 (2010) - [i3]Arthur Szlam, Koray Kavukcuoglu, Yann LeCun:
Convolutional Matching Pursuit and Dictionary Training. CoRR abs/1010.0422 (2010) - [i2]Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman:
Hybrid Linear Modeling via Local Best-fit Flats. CoRR abs/1010.3460 (2010)
2000 – 2009
- 2009
- [j1]Vladimir Rokhlin, Arthur Szlam, Mark Tygert:
A Randomized Algorithm for Principal Component Analysis. SIAM J. Matrix Anal. Appl. 31(3): 1100-1124 (2009) - [c3]Teng Zhang, Arthur Szlam, Gilad Lerman:
Median K-Flats for hybrid linear modeling with many outliers. ICCV Workshops 2009: 234-241 - [c2]Arthur Szlam, Guillermo Sapiro:
Discriminative k-metrics. ICML 2009: 1009-1016 - [c1]Nawal Houhou, Xavier Bresson, Arthur Szlam, Tony F. Chan, Jean-Philippe Thiran:
Semi-supervised Segmentation Based on Non-local Continuous Min-Cut. SSVM 2009: 112-123 - [i1]Teng Zhang, Arthur Szlam, Gilad Lerman:
Median K-flats for hybrid linear modeling with many outliers. CoRR abs/0909.3123 (2009)
Coauthor Index
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