A Survey and Datasheet Repository of Publicly Available US Criminal Justice Datasets

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

e170226aFinal00028 Remote Location Wear Debris Analysis for Aircraft

von Becker, Andrew
Veröffentlicht in Australian International Aerospace Congress (17. : 2017 : Melbourne) AIAC 2017: innovation into aerospace future (2018)

Scalable Infomin Learning

von Chen, Yanzhi
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 4 of 50 (2023)

You Shouldn't Trust Me: Learning Models Which Conceal Unfairness from Multiple Explanation Methods

von Dimanov, Botty
Veröffentlicht in European Conference on Artificial Intelligence (24. : 2020 : Online) ECAI 2020 ; Part 4 (2020)

Structural Causal 3D Reconstruction

von Liu, Weiyang
Veröffentlicht in ECCV (17. : 2022 : Tel Aviv; Online) Computer vision – ECCV 2022 ; Part 1 (2022)

DEBIASING A FIRST-ORDER HEURISTIC FOR APPROXIMATE BI-LEVEL OPTIMIZATION

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

Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch

von Viano, Luca
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 31 of 36 (2022)

Sub-Linear Memory: How to Make Performers SLiM

von Likhosherstov, Valerii
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 9 of 36 (2022)

Iterative Teaching by Label Synthesis

von Liu, Weiyang
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 26 of 36 (2022)

Measuring Representational Robustness of Neural Networks Through Shared Invariances

von Nanda, Vedant
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 20 of 33 (2023)

LEADER STOCHASTIC GRADIENT DESCENT FOR DISTRIBUTED TRAINING OF DEEP LEARNING MODELS

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

Chefs' Random Tables: Non-Trigonometric Random Features

von Likhosherstov, Valerii
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 45 of 50 (2023)

Do Invariances in Deep Neural Networks Align with Human Perception?

von Nanda, Vedant
Veröffentlicht in AAAI Conference on Artificial Intelligence (37. : 2023 : Washington, DC; Online) 37th AAAI Conference on Artificial Intelligence (AAAI-23) ; Volume 8, part 1 of 2 (2023)

ODE TO AN ODE

von Choromanski, Krzysztof M.
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 5 of 27 (2021)

Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off

von Espinosa Zarlenga, Mateo
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 28 of 50 (2023)

Mapping Intelligence: Requirements and Possibilities

von Bhatnagar, Sankalp
Veröffentlicht in Conference on the Philosophy and Theory of Artificial Intelligence (3. : 2017 : Leeds) Philosophy and theory of artificial intelligence 2017 (2018)