EFFICIENTNETV2: SMALLER MODELS AND FASTER TRAINING

von TAN, MINGXING
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 13 of 16 (2022)

SACCADER: IMPROVING ACCURACY OF HARD ATTENTION MODELS FOR VISION

von Elsayed, Gamaleldin
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 1 of 20 (2020)

Pay Attention to MLPs

von Liu, Hanxiao
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 11 of 36 (2022)

CoAtNet: Marrying Convolution and Attention for All Data Sizes

von Dai, Zihang
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 5 of 36 (2022)

CONDCONV: CONDITIONALLY PARAMETERIZED CONVOLUTIONS FOR EFFICIENT INFERENCE

von Yang, Brandon
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 2 of 20 (2020)

AUTOML-ZERO: EVOLVING MACHINE LEARNING ALGORITHMS FROM SCRATCH

von Real, Esteban
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 11 of 15 (2021)

Searching for Efficient Transformers for Language Modeling

von So, David
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 8 of 36 (2022)

HIGH FIDELITY VIDEO PREDICTION WITH LARGE STOCHASTIC RECURRENT NEURAL NETWORKS

von Villegas, Ruben
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 1 of 20 (2020)

XLNET: GENERALIZED AUTOREGRESSIVE PRETRAINING FOR LANGUAGE UNDERSTANDING

von Yang, Zhilin
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 8 of 20 (2020)

Learning Data Augmentation Strategies for Object Detection

von Zoph, Barret
Veröffentlicht in ECCV (16. : 2020 : Online) Computer vision - ECCV 2020 ; Part 27 (2020)

TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets

von Yang, Chengrun
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 16 of 50 (2023)

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

von Wei, Jason
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 32 of 50 (2023)

Mixture-of-Experts with Expert Choice Routing

von Zhou, Yanqi
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 10 of 50 (2023)

SCALING UP VISUAL AND VISION-LANGUAGE REPRESENTATION LEARNING WITH NOISY TEXT SUPERVISION

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

GPIPE: EFFICIENT TRAINING OF GIANT NEURAL NETWORKS USING PIPELINE PARALLELISM

von Huang, Yanping
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 1 of 20 (2020)

Improving 3D Object Detection Through Progressive Population Based Augmentation

von Cheng, Shuyang
Veröffentlicht in ECCV (16. : 2020 : Online) Computer vision - ECCV 2020 ; Part 21 (2020)