quantized training

Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power Applications CVPR 2025 QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models EMNLP 2025 Training with Fewer Bits: Unlocking Edge LLMs Training with Stochastic Rounding EMNLP 2025 Stepping Forward on the Last Mile NeurIPS 2024 Stable and low-precision training for large-scale vision-language models NeurIPS 2023 Quantized Training of Gradient Boosting Decision Trees NeurIPS 2022 Secure Quantized Training for Deep Learning ICML 2022 AdaBits: Neural Network Quantization With Adaptive Bit-Widths CVPR 2020 FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training NeurIPS 2020 HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface AAAI 2020 Multi-Precision Policy Enforced Training (MuPPET) : A Precision-Switching Strategy for Quantised Fixed-Point Training of CNNs ICML 2020 Communication Compression for Decentralized Training NeurIPS 2018 ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning ICML 2017