Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning

von Teney, Damien
Veröffentlicht in ECCV (17. : 2022 : Tel Aviv; Online) Computer vision – ECCV 2022 ; Part 23 (2022)

Reinforcement Learning with Attention that Works: A Self-Supervised Approach

von Manchin, Anthony
Veröffentlicht in ICONIP (26. : 2019 : Sydney) Neural information processing ; Part 5 (2019)

IDARTS: DIFFERENTIABLE ARCHITECTURE SEARCH WITH STOCHASTIC IMPLICIT GRADIENTS

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

Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense

von Doan, Bao Gia
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 7 of 33 (2023)

COUNTERFACTUAL VISION-AND-LANGUAGE NAVIGATION: UNRAVELLING THE UNSEEN

von Parvaneh, Amin
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 7 of 27 (2021)

ON THE VALUE OF OUT-OF-DISTRIBUTION TESTING: AN EXAMPLE OF GOODHART'S LAW

von Teney, Damien
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 1 of 27 (2021)

Truncated Matrix Power Iteration for Differentiable DAG Learning

von Zhang, Zhen
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 24 of 50 (2023)

Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision

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