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1000 results for “OpenRefine”

  1. New #FeaturedCertification:

    LEAD: Min-Max Optimization from a Physical Perspective

    Reyhane Askari Hemmat, Amartya Mitra, Guillaume Lajoie, Ioannis Mitliagkas

    openreview.net/forum?id=vXSsTY

    #gans #gan #adversarial

  2. New #FeaturedCertification:

    LEAD: Min-Max Optimization from a Physical Perspective

    Reyhane Askari Hemmat, Amartya Mitra, Guillaume Lajoie, Ioannis Mitliagkas

    openreview.net/forum?id=vXSsTY

    #gans #gan #adversarial

  3. Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification

    Niladri S. Chatterji, Saminul Haque, Tatsunori Hashimoto

    Action editor: Sivan Sabato.

    openreview.net/forum?id=r6oHDY

    #undersampling #undersampled #classification

  4. Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification

    Niladri S. Chatterji, Saminul Haque, Tatsunori Hashimoto

    Action editor: Sivan Sabato.

    openreview.net/forum?id=r6oHDY

    #undersampling #undersampled #classification

  5. Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification

    Niladri S. Chatterji, Saminul Haque, Tatsunori Hashimoto

    Action editor: Sivan Sabato.

    openreview.net/forum?id=r6oHDY

    #undersampling #undersampled #classification

  6. Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification

    Niladri S. Chatterji, Saminul Haque, Tatsunori Hashimoto

    Action editor: Sivan Sabato.

    openreview.net/forum?id=r6oHDY

    #undersampling #undersampled #classification

  7. Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification

    Niladri S. Chatterji, Saminul Haque, Tatsunori Hashimoto

    Action editor: Sivan Sabato.

    openreview.net/forum?id=r6oHDY

    #undersampling #undersampled #classification

  8. A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods

    Tiago Salvador, Kilian FATRAS, Ioannis Mitliagkas, Adam M Oberman

    Action editor: Mingsheng Long.

    openreview.net/forum?id=XcVzIB

    #adaptation #classifying #leveraging

  9. A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods

    Tiago Salvador, Kilian FATRAS, Ioannis Mitliagkas, Adam M Oberman

    Action editor: Mingsheng Long.

    openreview.net/forum?id=XcVzIB

    #adaptation #classifying #leveraging

  10. A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods

    Tiago Salvador, Kilian FATRAS, Ioannis Mitliagkas, Adam M Oberman

    Action editor: Mingsheng Long.

    openreview.net/forum?id=XcVzIB

    #adaptation #classifying #leveraging

  11. A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods

    Tiago Salvador, Kilian FATRAS, Ioannis Mitliagkas, Adam M Oberman

    Action editor: Mingsheng Long.

    openreview.net/forum?id=XcVzIB

    #adaptation #classifying #leveraging

  12. A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods

    Tiago Salvador, Kilian FATRAS, Ioannis Mitliagkas, Adam M Oberman

    Action editor: Mingsheng Long.

    openreview.net/forum?id=XcVzIB

    #adaptation #classifying #leveraging

  13. Attentional-Biased Stochastic Gradient Descent

    Qi Qi, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang

    Action editor: Changyou Chen.

    openreview.net/forum?id=B0WYWv

    #regularization #regularized #sgd

  14. Attentional-Biased Stochastic Gradient Descent

    Qi Qi, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang

    Action editor: Changyou Chen.

    openreview.net/forum?id=B0WYWv

    #regularization #regularized #sgd

  15. Attentional-Biased Stochastic Gradient Descent

    Qi Qi, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang

    Action editor: Changyou Chen.

    openreview.net/forum?id=B0WYWv

    #regularization #regularized #sgd

  16. Attentional-Biased Stochastic Gradient Descent

    Qi Qi, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang

    Action editor: Changyou Chen.

    openreview.net/forum?id=B0WYWv

    #regularization #regularized #sgd

  17. Reinforcement Teaching

    Calarina Muslimani, Alex Lewandowski, Dale Schuurmans, Matthew E. Taylor, Jun Luo

    Action editor: Marcello Restelli.

    openreview.net/forum?id=G2GKii

    #learns #reinforcement #learnable

  18. Reinforcement Teaching

    Calarina Muslimani, Alex Lewandowski, Dale Schuurmans, Matthew E. Taylor, Jun Luo

    Action editor: Marcello Restelli.

    openreview.net/forum?id=G2GKii

    #learns #reinforcement #learnable

  19. Reinforcement Teaching

    Calarina Muslimani, Alex Lewandowski, Dale Schuurmans, Matthew E. Taylor, Jun Luo

    Action editor: Marcello Restelli.

    openreview.net/forum?id=G2GKii

    #learns #reinforcement #learnable

  20. Reinforcement Teaching

    Calarina Muslimani, Alex Lewandowski, Dale Schuurmans, Matthew E. Taylor, Jun Luo

    Action editor: Marcello Restelli.

    openreview.net/forum?id=G2GKii

    #learns #reinforcement #learnable

  21. Reinforcement Teaching

    Calarina Muslimani, Alex Lewandowski, Dale Schuurmans, Matthew E. Taylor, Jun Luo

    Action editor: Marcello Restelli.

    openreview.net/forum?id=G2GKii

    #learns #reinforcement #learnable

  22. Bounded Space Differentially Private Quantiles

    Daniel Alabi, Omri Ben-Eliezer, Anamay Chaturvedi

    Action editor: Gautam Kamath.

    openreview.net/forum?id=sixOD8

    #quantiles #quantile #privacy

  23. The Stack: 3 TB of permissively licensed source code

    Denis Kocetkov, Raymond Li, Loubna Ben allal et al.

    Action editor: Swarat Chaudhuri.

    openreview.net/forum?id=pxpbTd

    #bigcode #text2code #dataset

  24. Assuming Locally Equal Calibration Errors for Non-Parametric Multiclass Calibration

    Kaspar Valk, Meelis Kull

    Action editor: Aditya Menon.

    openreview.net/forum?id=na5sHG

    #classifiers #classifier #calibration

  25. Exploring the Approximation Capabilities of Multiplicative Neural Networks for Smooth Functions

    Ido Ben-Shaul, Tomer Galanti, Shai Dekel

    Action editor: Murat Erdogdu.

    openreview.net/forum?id=sWQJfb

    #neurons #layers #approximation

  26. Learning Graph Structure from Convolutional Mixtures

    Max Wasserman, Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro

    Action editor: Makoto Yamada.

    openreview.net/forum?id=OILbP0

    #graphs #deconvolution #graph

  27. Learning Object-Centric Neural Scattering Functions for Free-viewpoint Relighting and Scene Compo...

    Hong-Xing Yu, Michelle Guo, Alireza Fathi et al.

    Action editor: Li Fuxin.

    openreview.net/forum?id=NrfSRt

    #opaque #rendering #relighting

  28. How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Fu...

    Jorge A Mendez, ERIC EATON

    Action editor: Aleksandra Faust.

    openreview.net/forum?id=VynY6B

    #lifelong #knowledge #composition