floating point

COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training ICLR 2025 Floating-Point Neural Networks Can Represent Almost All Floating-Point Functions ICML 2025 FPE2M2: Approaching Lossless and Efficient Quantization with Native Floating Point ACL 2025 AFPQ: Asymmetric Floating Point Quantization for LLMs ACL 2024 Collage: Light-Weight Low-Precision Strategy for LLM Training ICML 2024 FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search AutoML 2024 Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic ICLR 2023 Representing Hyperbolic Space Accurately using Multi-Component Floats NeurIPS 2021 Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point NeurIPS 2020 Reducing Underflow in Mixed Precision Training by Gradient Scaling IJCAI 2020 Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks ICLR 2020 Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks NeurIPS 2019 Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks NeurIPS 2017