What's new in AI : open source large language models

Veröffentlicht 2024

LEARNING SAMPLE-SPECIFIC MODELS WITH LOW-RANK PERSONALIZED REGRESSIO

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

AMP: Automatically Finding Model Parallel Strategies with Heterogeneity Awareness

von Li, Dacheng
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 9 of 50 (2023)

Self-challenging Improves Cross-Domain Generalization

von Huang, Zeyi
Veröffentlicht in ECCV (16. : 2020 : Online) Computer vision - ECCV 2020 ; Part 2 (2020)

LEARNING ROBUST GLOBAL REPRESENTATIONS BY PENALIZING LOCAL PREDICTIVE POWER

von Wang, Haohan
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 14 of 20 (2020)

Multi-task Learning of Order-Consistent Causal Graphs

von Chen, Xinshi
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 14 of 36 (2022)

Gene Set Priorization Guided by Regulatory Networks with p-values through Kernel Mixed Model

von Wang, Haohan
Veröffentlicht in RECOMB (26. : 2022 : La Jolla, Calif.) Research in computational molecular biology (2022)

IMPROVING GAN TRAINING WITH PROBABILITY RATIO CLIPPING AND SAMPLE REWEIGHTING

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

Supervised Adversarial Alignment of Single-Cell RNA-seq Data

von Ge, Songwei
Veröffentlicht in RECOMB (24. : 2020 : Online) Research in computational molecular biology (2020)

AUTOSYNC: LEARNING TO SYNCHRONIZE FOR DATA-PARALLEL DISTRIBUTED DEEP LEARNING

von Zhang, Hao
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 2 of 27 (2021)

Adversarial Domain Adaptation Being Aware of Class Relationships

von Wang, Zeya
Veröffentlicht in European Conference on Artificial Intelligence (24. : 2020 : Online) ECAI 2020 ; Part 3 (2020)

SPECIFIC AND SHARED CAUSAL RELATION MODELING AND MECHANISM-BASED CLUSTERING

von Huang, Biwei
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 17 of 20 (2020)

REGULARIZING BLACK-BOX MODELS FOR IMPROVED INTERPRETABILITY

von Plumb, Gregory
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 13 of 27 (2021)

Masked Generative Adversarial Networks are Data-Efficient Generation Learners

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

SDQ: Stochastic Differentiable Quantization with Mixed Precision

von Huang, Xijie
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 12 of 33 (2023)

Rare Gems: Finding Lottery Tickets at Initialization

von Sreenivasan, Kartik
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 19 of 50 (2023)

Adversarial Vision Challenge

von Brendel, Wieland
Veröffentlicht in NeurIPS (2. : 2018 : Montréal) The NeurIPS '18 Competition (2020)