mixed precision training

Double Rounding: Nearly Lossless Adaptive Bit Switching for QAT AAAI 2026 COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training ICLR 2025 Stochastic Rounding for LLM Training: Theory and Practice AISTATS 2025 Training LLMs with MXFP4 AISTATS 2025 Guaranteed Approximation Bounds for Mixed-Precision Neural Operators ICLR 2024 Towards efficient self-supervised representation learning in speech processing EACL 2024 Betty: An Automatic Differentiation Library for Multilevel Optimization ICLR 2023 Survey on Efficient Training of Large Neural Networks IJCAI 2022 ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training ICML 2021 Reducing Underflow in Mixed Precision Training by Gradient Scaling IJCAI 2020 Training Quantized Neural Networks With a Full-Precision Auxiliary Module CVPR 2020 Mixed Precision Training of Convolutional Neural Networks using Integer Operations ICLR 2018 OpenSeq2Seq: Extensible Toolkit for Distributed and Mixed Precision Training of Sequence-to-Sequence Models ACL 2018 Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks NeurIPS 2017