A GENERIC ACCELERATION FRAMEWORK FOR STOCHASTIC COMPOSITE OPTIMIZATION

von Kulunchakov, Andrei
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 16 of 20 (2020)

Non-Convex Bilevel Games with Critical Point Selection Maps

von Arbel, Michael
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 11 of 50 (2023)

ON THE INDUCTIVE BIAS OF NEURAL TANGENT KERNELS

von Bietti, Alberto
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 17 of 20 (2020)

Selecting Relevant Features from a Multi-domain Representation for Few-Shot Classification

von Dvornik, Nikita
Veröffentlicht in ECCV (16. : 2020 : Online) Computer vision - ECCV 2020 ; Part 10 (2020)

Sparse modeling for image and vision processing

von Mairal, Julien
Veröffentlicht 2014

CONVOLUTIONAL KERNEL NETWORKS FOR GRAPH-STRUCTURED DATA

von Chen, Dexione
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 2 of 15 (2021)

Fully Trainable and Interpretable Non-local Sparse Models for Image Restoration

von Lecouat, Bruno
Veröffentlicht in ECCV (16. : 2020 : Online) Computer vision - ECCV 2020 ; Part 22 (2020)

A FLEXIBLE FRAMEWORK FOR DESIGNING TRAINABLE PRIORS WITH ADAPTIVE SMOOTHING AND GAME ENCODING

von Lecouat, Bruno
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 19 of 27 (2021)

Beyond Tikhonov: faster learning with self-concordant losses, via iterative regularization

von Beugnot, Gaspard
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 34 of 36 (2022)

RECURRENT KERNEL NETWORKS

von Chen, Dexiong
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 17 of 20 (2020)

A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration

von Bodrito, Theo
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 7 of 36 (2022)

UNSUPERVISED LEARNING OF VISUAL FEATURES BY CONTRASTING CLUSTER ASSIGNMENTS

von Caron, Mathilde
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 12 of 27 (2021)