JumpReLU: A Retrofit Defense Strategy for Adversarial Attacks

von Erichson, N. Benjamin
Veröffentlicht in ICPRAM (9. : 2020 : Valletta) ICPRAM 2020 (2020)

XTC: Extreme Compression for Pre-trained Transformers Made Simple and Efficient

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

POWERNORM: RETHINKING BATCH NORMALIZATION IN TRANSFORMERS

von Shen, Sheng
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 12 of 15 (2021)

I-BERT: INTEGER-ONLY BERT QUANTIZATION

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

A STATISTICAL FRAMEWORK FOR LOW-BITWIDTH TRAINING OF DEEP NEURAT NETWORKS

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

HAWQ-V2: HESSIAN AWARE TRACE-WEIGHTED QUANTIZATION OF NEURAL NETWORKS

von Dong, Zhen
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 23 of 27 (2021)

ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers

von Yao, Zhewei
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 35 of 50 (2023)

ACTNN: REDUCING TRAINING MEMORY FOOTPRINT VIA 2-BIT ACTIVATION COMPRESSED TRAINING

von CHEN, JIANFEI
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 3 of 16 (2022)

ANODEV2: A COUPLED NEURAL ODE FRAMEWORK

von Zhang, Tianjun
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 7 of 20 (2020)

HAWQ-V3: DYADIC NEURAL NETWORK QUANTIZATION

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