GRAPH-BASED, SELF-SUPERVISED PROGRAM REPAIR FROM DIAGNOSTIC FEEDBACK

von Yasunaga, Michihiro
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 14 of 15 (2021)

COMPOSED FINE-TUNING: FREEZING PRE-TRAINED DENOISING AUTOENCODERS FOR IMPROVED GENERALIZATION

von XIE, SANG MICHAEL
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 15 of 16 (2022)

VERIFIED UNCERTAINTY CALIBRATION

von Kumar, Ananya
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 5 of 20 (2020)

Insights into Pre-training via Simpler Synthetic Tasks

von Wu, Yuhuai
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 29 of 50 (2023)

What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

von Garg, Shivam
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 40 of 50 (2023)

DECOUPLING EXPLORATION AND EXPLOITATION FOR META-REINFORCEMENT LEARNING WITHOUT SACRIFICES

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)

Improving Self-Supervised Learning by Characterizing Idealized Representations

von Dubois, Yann
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 15 of 50 (2023)

Diffusion-LM Improves Controllable Text Generation

von Li, Xiang
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 6 of 50 (2023)

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)

UNLABELED DATA IMPROVES ADVERSARIAL ROBUSTNESS

von Carmon, Yair
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 15 of 20 (2020)

Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?

von Bommasani, Rishi
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 5 of 50 (2023)

CATFORMER: DESIGNING STABLE TRANSFORMERS VIA SENSITIVITY ANALYSIS

von DAVIS, JARED Q.
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 4 of 16 (2022)

SPOC: SEARCH-BASED PSEUDOCODE TO CODE

von Kulal, Sumith
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 15 of 20 (2020)

Deep Bidirectional Language-Knowledge Graph Pretraining

von Yasunaga, Michihiro
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 48 of 50 (2023)

Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation

von Shen, Kendrick
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 24 of 33 (2023)

Decentralized Training of Foundation Models in Heterogeneous Environments

von Yuan, Binhang
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 33 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)

ENABLING CERTIFICATION OF VERIFICATION-AGNOSTIC NETWORKS VIA MEMORY-EFFICIENT SEMIDEFINITE PROGRAMMING

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

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)