SHAPE AND TIME DISTORTION LOSS FOR TRAINING DEEP TIME SERIES FORECASTING MODELS

von Guen, Vincent Le
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 6 of 20 (2020)

Probabilistic Time Series Forecasting with Shape and Temporal Diversity

von LE GUEN, Vincent
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 6 of 27 (2021)

Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction

von Guen, Vincent Le
Veröffentlicht in ECCV (17. : 2022 : Tel Aviv; Online) Computer vision – ECCV 2022 ; Part 21 (2022)

Robust and Decomposable Average Precision for Image Retrieval

von Ramzi, Elias
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 28 of 36 (2022)

Hierarchical Average Precision Training for Pertinent Image Retrieval

von Ramzi, Elias
Veröffentlicht in ECCV (17. : 2022 : Tel Aviv; Online) Computer vision – ECCV 2022 ; Part 14 (2022)

ADDRESSING FAILURE PREDICTION BY LEARNING MODEL CONFIDENCE

von Corbiére, Charles
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 4 of 20 (2020)

U-Net Transformer: Self and Cross Attention for Medical Image Segmentation

von Petit, Olivier
Veröffentlicht in MLMI (12. : 2021 : Straßburg) Machine Learning in Medical Imaging (2021)