A RANDOMIZED ALGORITHM FOR PRINCIPAL COMPONENT ANALYSIS
ROKHLIN, Vladimir, SZLAM, Arthur, TYGERT, Mark
Published in SIAM journal on matrix analysis and applications (01.01.2009)
Published in SIAM journal on matrix analysis and applications (01.01.2009)
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Journal Article
Low-Shot Learning with Large-Scale Diffusion
Douze, Matthijs, Szlam, Arthur, Hariharan, Bharath, Jegou, Herve
Published in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (01.06.2018)
Published in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (01.06.2018)
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Conference Proceeding
The Second Conversational Intelligence Challenge (ConvAI2)
Dinan, Emily, Logacheva, Varvara, Malykh, Valentin, Miller, Alexander, Shuster, Kurt, Urbanek, Jack, Kiela, Douwe, Szlam, Arthur, Serban, Iulian, Lowe, Ryan, Prabhumoye, Shrimai, Black, Alan W., Rudnicky, Alexander, Williams, Jason, Pineau, Joelle, Burtsev, Mikhail, Weston, Jason
Published in The NeurIPS '18 Competition (30.11.2019)
Published in The NeurIPS '18 Competition (30.11.2019)
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Book Chapter
Hybrid Linear Modeling via Local Best-Fit Flats
Zhang, Teng, Szlam, Arthur, Wang, Yi, Lerman, Gilad
Published in International journal of computer vision (01.12.2012)
Published in International journal of computer vision (01.12.2012)
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Journal Article
A Mathematical Motivation for Complex-Valued Convolutional Networks
Tygert, Mark, Bruna, Joan, Chintala, Soumith, LeCun, Yann, Piantino, Serkan, Szlam, Arthur
Published in Neural computation (01.05.2016)
Published in Neural computation (01.05.2016)
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Journal Article
Accurate Low-Rank Approximations Via a Few Iterations of Alternating Least Squares
Szlam, Arthur, Tulloch, Andrew, Tygert, Mark
Published in SIAM journal on matrix analysis and applications (01.01.2017)
Published in SIAM journal on matrix analysis and applications (01.01.2017)
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Journal Article
Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video
Jun He, Balzano, L., Szlam, A.
Published in 2012 IEEE Conference on Computer Vision and Pattern Recognition (01.06.2012)
Published in 2012 IEEE Conference on Computer Vision and Pattern Recognition (01.06.2012)
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Conference Proceeding
Scale-invariant learning and convolutional networks
Chintala, Soumith, Ranzato, Marc'Aurelio, Szlam, Arthur, Tian, Yuandong, Tygert, Mark, Zaremba, Wojciech
Published in Applied and computational harmonic analysis (01.01.2017)
Published in Applied and computational harmonic analysis (01.01.2017)
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Journal Article
Hard Mixtures of Experts for Large Scale Weakly Supervised Vision
Gross, Sam, Ranzato, Marc'Aurelio, Szlam, Arthur
Published in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (01.07.2017)
Published in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (01.07.2017)
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Conference Proceeding
Better Feature Tracking through Subspace Constraints
Poling, Bryan, Lerman, Gilad, Szlam, Arthur
Published in 2014 IEEE Conference on Computer Vision and Pattern Recognition (01.06.2014)
Published in 2014 IEEE Conference on Computer Vision and Pattern Recognition (01.06.2014)
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Conference Proceeding
K-mappings and Regression trees
Yi Wang, Szlam, Arthur
Published in 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01.05.2014)
Published in 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01.05.2014)
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Conference Proceeding
Order-Aware Generative Modeling Using the 3D-Craft Dataset
Chen, Zhuoyuan, Guo, Demi, Xiao, Tong, Xie, Saining, Chen, Xinlei, Szlam, Arthur, Tulsiani, Shubham, Yu, Haonan, Gray, Jonathan, Srinet, Kavya, Qi, Charles R., Fan, Haoqi, Ma, Jerry, Zitnick, Larry
Published in 2019 IEEE/CVF International Conference on Computer Vision (ICCV) (01.10.2019)
Published in 2019 IEEE/CVF International Conference on Computer Vision (ICCV) (01.10.2019)
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Conference Proceeding