Arthur Szlam

According to our database, Arthur Szlam authored at least 110 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

DiPaCo: Distributed Path Composition.

Arthur Douillard, Qixuan Feng, Andrei A. Rusu, Adhiguna Kuncoro, Yani Donchev, Rachita Chhaparia, Ionel Gog, Marc'Aurelio Ranzato, Jiajun Shen, Arthur Szlam

CoRR, 2024

Asynchronous Local-SGD Training for Language Modeling.

Bo Liu, Rachita Chhaparia, Arthur Douillard, Satyen Kale, Andrei A. Rusu, Jiajun Shen, Arthur Szlam, Marc'Aurelio Ranzato

CoRR, 2024

2023

DiLoCo: Distributed Low-Communication Training of Language Models.

Arthur Douillard, Qixuang Feng, Andrei A. Rusu, Rachita Chhaparia, Yani Donchev, Adhiguna Kuncoro, Marc'Aurelio Ranzato, Arthur Szlam, Jiajun Shen

CoRR, 2023

Transforming Human-Centered AI Collaboration: Redefining Embodied Agents Capabilities through Interactive Grounded Language Instructions.

Shrestha Mohanty, Negar Arabzadeh, Julia Kiseleva, Artem Zholus, Milagro Teruel, Ahmed Awadallah, Yuxuan Sun, Kavya Srinet, Arthur Szlam

CoRR, 2023

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

Jimmy Wei, Kurt Shuster, Arthur Szlam, Jason Weston, Jack Urbanek, Mojtaba Komeili

CoRR, 2023

Infusing Commonsense World Models with Graph Knowledge.

Alexander Gurung, Mojtaba Komeili, Arthur Szlam, Jason Weston, Jack Urbanek

CoRR, 2023

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

Nur Muhammad (Mahi) Shafiullah, Chris Paxton, Lerrel Pinto, Soumith Chintala, Arthur Szlam

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Learning to Reason and Memorize with Self-Notes.

Jack Lanchantin, Shubham Toshniwal, Jason Weston, Arthur Szlam, Sainbayar Sukhbaatar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Data Source for Reasoning Embodied Agents.

Jack Lanchantin, Sainbayar Sukhbaatar, Gabriel Synnaeve, Yuxuan Sun, Kavya Srinet, Arthur Szlam

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Reducing Conversational Agents' Overconfidence through Linguistic Calibration.

Sabrina J. Mielke, Arthur Szlam, Emily Dinan, Y-Lan Boureau

Trans. Assoc. Comput. Linguistics, 2022

Collecting Interactive Multi-modal Datasets for Grounded Language Understanding.

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

CoRR, 2022

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

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

CoRR, 2022

IGLU Gridworld: Simple and Fast Environment for Embodied Dialog Agents.

Artem Zholus, Alexey Skrynnik, Shrestha Mohanty, Zoya Volovikova, Julia Kiseleva, Arthur Szlam, Marc-Alexandre Côté, Aleksandr I. Panov

CoRR, 2022

IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022.

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

CoRR, 2022

Many Episode Learning in a Modular Embodied Agent via End-to-End Interaction.

Yuxuan Sun, Ethan Carlson, Rebecca Qian, Kavya Srinet, Arthur Szlam

CoRR, 2022

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

Kurt Shuster, Jack Urbanek, Arthur Szlam, Jason Weston

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

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

Leonard Adolphs, Kurt Shuster, Jack Urbanek, Arthur Szlam, Jason Weston

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

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

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

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

Jing Xu, Arthur Szlam, Jason Weston

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Residual Energy-Based Models for Text.

Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam

J. Mach. Learn. Res., 2021

NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment.

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

CoRR, 2021

Hash Layers For Large Sparse Models.

Stephen Roller, Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition.

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

Proceedings of the NeurIPS 2022 Competition Track, 2021

Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021.

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

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

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 Rocktäschel, Jason Weston

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

CURI: A Benchmark for Productive Concept Learning Under Uncertainty.

Ramakrishna Vedantam, Arthur Szlam, Maximilian Nickel, Ari Morcos, Brenden M. Lake

Proceedings of the 38th International Conference on Machine Learning, 2021

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

Proceedings of the 38th International Conference on Machine Learning, 2021

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

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

Sabrina J. Mielke, Arthur Szlam, Y-Lan Boureau, Emily Dinan

CoRR, 2020

Few-shot Sequence Learning with Transformers.

Lajanugen Logeswaran, Ann Lee, Myle Ott, Honglak Lee, Marc'Aurelio Ranzato, Arthur Szlam

CoRR, 2020

Deploying Lifelong Open-Domain Dialogue Learning.

Kurt Shuster, Jack Urbanek, Emily Dinan, Arthur Szlam, Jason Weston

CoRR, 2020

Fast Adaptation via Policy-Dynamics Value Functions.

Roberta Raileanu, Maxwell Goldstein, Arthur Szlam, Rob Fergus

CoRR, 2020

Empirically Verifying Hypotheses Using Reinforcement Learning.

Kenneth Marino, Rob Fergus, Arthur Szlam, Abhinav Gupta

CoRR, 2020

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

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

CoRR, 2020

Energy-Based Models for Text.

Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam

CoRR, 2020

Learning to Visually Navigate in Photorealistic Environments Without any Supervision.

Lina Mezghani, Sainbayar Sukhbaatar, Arthur Szlam, Armand Joulin, Piotr Bojanowski

CoRR, 2020

I love your chain mail! Making knights smile in a fantasy game world: Open-domain goal-oriented dialogue agents.

Shrimai Prabhumoye, Margaret Li, Jack Urbanek, Emily Dinan, Douwe Kiela, Jason Weston, Arthur Szlam

CoRR, 2020

Fast Adaptation to New Environments via Policy-Dynamics Value Functions.

Roberta Raileanu, Maxwell Goldstein, Arthur Szlam, Rob Fergus

Proceedings of the 37th International Conference on Machine Learning, 2020

Residual Energy-Based Models for Text Generation.

Yuntian Deng, Anton Bakhtin, Myle Ott, Arthur Szlam, Marc'Aurelio Ranzato

Proceedings of the 8th International Conference on Learning Representations, 2020

CraftAssist Instruction Parsing: Semantic Parsing for a Voxel-World Assistant.

Kavya Srinet, Yacine Jernite, Jonathan Gray, Arthur Szlam

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Generating Interactive Worlds with Text.

Angela Fan, Jack Urbanek, Pratik Ringshia, Emily Dinan, Emma Qian, Siddharth Karamcheti, Shrimai Prabhumoye, Douwe Kiela, Tim Rocktäschel, Arthur Szlam, Jason Weston

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Why Build an Assistant in Minecraft?

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

CoRR, 2019

CraftAssist: A Framework for Dialogue-enabled Interactive Agents.

Jonathan Gray, Kavya Srinet, Yacine Jernite, Haonan Yu, Zhuoyuan Chen, Demi Guo, Siddharth Goyal, C. Lawrence Zitnick, Arthur Szlam

CoRR, 2019

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

Anton Bakhtin, Sam Gross, Myle Ott, Yuntian Deng, Marc'Aurelio Ranzato, Arthur Szlam

CoRR, 2019

CraftAssist Instruction Parsing: Semantic Parsing for a Minecraft Assistant.

Yacine Jernite, Kavya Srinet, Jonathan Gray, Arthur Szlam

CoRR, 2019

The Second Conversational Intelligence Challenge (ConvAI2).

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

CoRR, 2019

Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies.

Kenneth Marino, Abhinav Gupta, Rob Fergus, Arthur Szlam

Proceedings of the 7th International Conference on Learning Representations, 2019

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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning to Speak and Act in a Fantasy Text Adventure Game.

Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, Jason Weston

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Dialogue Natural Language Inference.

Sean Welleck, Jason Weston, Arthur Szlam, Kyunghyun Cho

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning.

Sainbayar Sukhbaatar, Emily Denton, Arthur Szlam, Rob Fergus

CoRR, 2018

Planning with Arithmetic and Geometric Attributes.

David Folqué, Sainbayar Sukhbaatar, Arthur Szlam, Joan Bruna

CoRR, 2018

Lightweight Adaptive Mixture of Neural and N-gram Language Models.

Anton Bakhtin, Arthur Szlam, Marc'Aurelio Ranzato, Edouard Grave

CoRR, 2018

Composable Planning with Attributes.

Amy Zhang, Sainbayar Sukhbaatar, Adam Lerer, Arthur Szlam, Rob Fergus

Proceedings of the 35th International Conference on Machine Learning, 2018

Modeling Others using Oneself in Multi-Agent Reinforcement Learning.

Roberta Raileanu, Emily Denton, Arthur Szlam, Rob Fergus

Proceedings of the 35th International Conference on Machine Learning, 2018

Optimizing the Latent Space of Generative Networks.

Piotr Bojanowski, Armand Joulin, David Lopez-Paz, Arthur Szlam

Proceedings of the 35th International Conference on Machine Learning, 2018

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

Proceedings of the 6th International Conference on Learning Representations, 2018

Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play.

Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov, Gabriel Synnaeve, Arthur Szlam, Rob Fergus

Proceedings of the 6th International Conference on Learning Representations, 2018

Low-Shot Learning With Large-Scale Diffusion.

Matthijs Douze, Arthur Szlam, Bharath Hariharan, Hervé Jégou

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

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

Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur Szlam, Douwe Kiela, Jason Weston

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Algorithm 971: An Implementation of a Randomized Algorithm for Principal Component Analysis.

Huamin Li, George C. Linderman, Arthur Szlam, Kelly P. Stanton, Yuval Kluger, Mark Tygert

ACM Trans. Math. Softw., 2017

Geometric Deep Learning: Going beyond Euclidean data.

Michael M. Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, Pierre Vandergheynst

IEEE Signal Process. Mag., 2017

Accurate Low-Rank Approximations Via a Few Iterations of Alternating Least Squares.

Arthur Szlam, Andrew Tulloch, Mark Tygert

SIAM J. Matrix Anal. Appl., 2017

Training Language Models Using Target-Propagation.

Sam Wiseman, Sumit Chopra, Marc'Aurelio Ranzato, Arthur Szlam, Ruoyu Sun, Soumith Chintala, Nicolas Vasilache

CoRR, 2017

Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play.

Sainbayar Sukhbaatar, Ilya Kostrikov, Arthur Szlam, Rob Fergus

CoRR, 2017

Transformation-Based Models of Video Sequences.

Joost R. van Amersfoort, Anitha Kannan, Marc'Aurelio Ranzato, Arthur Szlam, Du Tran, Soumith Chintala

CoRR, 2017

Automatic Rule Extraction from Long Short Term Memory Networks.

W. James Murdoch, Arthur Szlam

Proceedings of the 5th International Conference on Learning Representations, 2017

Tracking the World State with Recurrent Entity Networks.

Mikael Henaff, Jason Weston, Arthur Szlam, Antoine Bordes, Yann LeCun

Proceedings of the 5th International Conference on Learning Representations, 2017

Hard Mixtures of Experts for Large Scale Weakly Supervised Vision.

Sam Gross, Marc'Aurelio Ranzato, Arthur Szlam

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

A Mathematical Motivation for Complex-Valued Convolutional Networks.

Mark Tygert, Joan Bruna, Soumith Chintala, Yann LeCun, Serkan Piantino, Arthur Szlam

Neural Comput., 2016

Accurate principal component analysis via a few iterations of alternating least squares.

Arthur Szlam, Andrew Tulloch, Mark Tygert

CoRR, 2016

Orthogonal RNNs and Long-Memory Tasks.

Mikael Henaff, Arthur Szlam, Yann LeCun

CoRR, 2016

Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems.

Jesse Dodge, Andreea Gane, Xiang Zhang, Antoine Bordes, Sumit Chopra, Alexander H. Miller, Arthur Szlam, Jason Weston

Proceedings of the 4th International Conference on Learning Representations, 2016

Learning Multiagent Communication with Backpropagation.

Sainbayar Sukhbaatar, Arthur Szlam, Rob Fergus

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

The Product Cut.

Thomas Laurent, James H. von Brecht, Xavier Bresson, Arthur Szlam

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Recurrent Orthogonal Networks and Long-Memory Tasks.

Mikael Henaff, Arthur Szlam, Yann LeCun

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Simple Baseline for Visual Question Answering.

Bolei Zhou, Yuandong Tian, Sainbayar Sukhbaatar, Arthur Szlam, Rob Fergus

CoRR, 2015

Weakly Supervised Memory Networks.

Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, Rob Fergus

CoRR, 2015

MazeBase: A Sandbox for Learning from Games.

Sainbayar Sukhbaatar, Arthur Szlam, Gabriel Synnaeve, Soumith Chintala, Rob Fergus

CoRR, 2015

Scale-invariant learning and convolutional networks.

Soumith Chintala, Marc'Aurelio Ranzato, Arthur Szlam, Yuandong Tian, Mark Tygert, Wojciech Zaremba

CoRR, 2015

A theoretical argument for complex-valued convolutional networks.

Joan Bruna, Soumith Chintala, Yann LeCun, Serkan Piantino, Arthur Szlam, Mark Tygert

CoRR, 2015

End-To-End Memory Networks.

Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, Rob Fergus

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

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

Emily L. Denton, Soumith Chintala, Arthur Szlam, Rob Fergus

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Multi-class Transductive Learning Based on ℓ 1 Relaxations of Cheeger Cut and Mumford-Shah-Potts Model.

Xavier Bresson, Xue-Cheng Tai, Tony F. Chan, Arthur Szlam

J. Math. Imaging Vis., 2014

An implementation of a randomized algorithm for principal component analysis.

Arthur Szlam, Yuval Kluger, Mark Tygert

CoRR, 2014

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

Marc'Aurelio Ranzato, Arthur Szlam, Joan Bruna, Michaël Mathieu, Ronan Collobert, Sumit Chopra

CoRR, 2014

Unsupervised Feature Learning by Deep Sparse Coding.

Yunlong He, Koray Kavukcuoglu, Yun Wang, Arthur Szlam, Yanjun Qi

Proceedings of the 2nd International Conference on Learning Representations, 2014

Spectral Networks and Locally Connected Networks on Graphs.

Joan Bruna, Wojciech Zaremba, Arthur Szlam, Yann LeCun

Proceedings of the 2nd International Conference on Learning Representations, 2014

An Incremental Reseeding Strategy for Clustering.

Xavier Bresson, Huiyi Hu, Thomas Laurent, Arthur Szlam, James H. von Brecht

CoRR, 2014

Signal recovery from Pooling Representations.

Joan Bruna Estrach, Arthur Szlam, Yann LeCun

Proceedings of the 31th International Conference on Machine Learning, 2014

K-mappings and Regression trees.

Yi Wang, Arthur Szlam

Proceedings of the IEEE International Conference on Acoustics, 2014

Better Feature Tracking through Subspace Constraints.

Bryan Poling, Gilad Lerman, Arthur Szlam

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Robust Locally Linear Analysis with Applications to Image Denoising and Blind Inpainting.

Yi Wang, Arthur Szlam, Gilad Lerman

SIAM J. Imaging Sci., 2013

Tree structured sparse coding on cubes

Arthur Szlam

Proceedings of the 1st International Conference on Learning Representations, 2013

Learning Stable Group Invariant Representations with Convolutional Networks

Joan Bruna, Arthur Szlam, Yann LeCun

Proceedings of the 1st International Conference on Learning Representations, 2013

2012

Hybrid Linear Modeling via Local Best-Fit Flats.

Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman

Int. J. Comput. Vis., 2012

K-subspaces with missing data.

Laura Balzano, Arthur Szlam, Benjamin Recht, Robert D. Nowak

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Fast Approximations to Structured Sparse Coding and Applications to Object Classification.

Arthur Szlam, Karol Gregor, Yann LeCun

Proceedings of the Computer Vision - ECCV 2012, 2012

Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video.

Jun He, Laura Balzano, Arthur Szlam

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Structured sparse coding via lateral inhibition.

Arthur Szlam, Karol Gregor, Yann LeCun

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

Convolutional Matching Pursuit and Dictionary Training

Arthur Szlam, Koray Kavukcuoglu, Yann LeCun

CoRR, 2010

Total Variation, Cheeger Cuts.

Arthur Szlam, Xavier Bresson

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

A split Bregman method for non-negative sparsity penalized least squares with applications to hyperspectral demixing.

Arthur Szlam, Zhaohui Guo, Stanley J. Osher

Proceedings of the International Conference on Image Processing, 2010

Randomized hybrid linear modeling by local best-fit flats.

Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

A Randomized Algorithm for Principal Component Analysis.

Vladimir Rokhlin, Arthur Szlam, Mark Tygert

SIAM J. Matrix Anal. Appl., 2009

Semi-supervised Segmentation Based on Non-local Continuous Min-Cut.

Nawal Houhou, Xavier Bresson, Arthur Szlam, Tony F. Chan, Jean-Philippe Thiran

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

Discriminative <i>k</i>-metrics.

Arthur Szlam, Guillermo Sapiro

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Median K-Flats for hybrid linear modeling with many outliers.

Teng Zhang, Arthur Szlam, Gilad Lerman

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009