TEMPORAL FILM: CAPTURING LONG-RANGE SEQUENCE DEPENDENCIES WITH FEATURE-WISE MODULATIONS

von Birnbaum, Sawyer
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 13 of 20 (2020)

ON THE ACCURACY OF INFLUENCE FUNCTIONS FOR MEASURING GROUP EFFECTS

von Koh, Pang Wei W.
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 7 of 20 (2020)

Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time

von Yao, Huaxiu
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 14 of 50 (2023)

ACCURACY ON THE LINE: ON THE STRONG CORRELATION BETWEEN OUT-OF-DISTRIBUTION AND IN-DISTRIBUTION GENERALIZATION

von MILLER, JOHN
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 10 of 16 (2022)

JUST TRAIN TWICE: IMPROVING GROUP ROBUSTNESS WITHOUT TRAINING GROUP INFORMATION

von LIU, EVAN Z.
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 9 of 16 (2022)

WILDS: A BENCHMARK OF IN-THE-WILD DISTRIBUTION SHIFTS

von KOH, PANG WEI
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 7 of 16 (2022)