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PyHessian: Neural Networks Through the Lens of the Hessian., , , and . CoRR, (2019)Residual Networks as Nonlinear Systems: Stability Analysis using Linearization., , , and . CoRR, (2019)ZeroQuant-HERO: Hardware-Enhanced Robust Optimized Post-Training Quantization Framework for W8A8 Transformers., , , , , and . CoRR, (2023)Selective Guidance: Are All the Denoising Steps of Guided Diffusion Important?, , and . CoRR, (2023)PowerNorm: Rethinking Batch Normalization in Transformers., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 8741-8751. PMLR, (2020)HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks., , , , , and . NeurIPS, (2020)Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT., , , , , , , and . AAAI, page 8815-8821. AAAI Press, (2020)ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning., , , , , and . AAAI, page 10665-10673. AAAI Press, (2021)DySR: Adaptive Super-Resolution via Algorithm and System Co-design., , , , , and . ICLR, OpenReview.net, (2023)How Much Can CLIP Benefit Vision-and-Language Tasks?, , , , , , , and . ICLR, OpenReview.net, (2022)