共 50 条
- [1] Overcoming Forgetting Catastrophe in Quantization-Aware Training [J]. 2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2023), 2023, : 17312 - 17321
- [2] AdaQAT: Adaptive Bit-Width Quantization-Aware Training [J]. 2024 IEEE 6TH INTERNATIONAL CONFERENCE ON AI CIRCUITS AND SYSTEMS, AICAS 2024, 2024, : 442 - 446
- [3] A Robust, Quantization-Aware Training Method for Photonic Neural Networks [J]. ENGINEERING APPLICATIONS OF NEURAL NETWORKS, EAAAI/EANN 2022, 2022, 1600 : 427 - 438
- [4] Disentangled Loss for Low-Bit Quantization-Aware Training [J]. 2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2022, 2022, : 2787 - 2791
- [6] Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training [J]. INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 162, 2022, : 19123 - 19138
- [9] Low Precision Quantization-aware Training in Spiking Neural Networks with Differentiable Quantization Function [J]. 2023 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN, 2023,
- [10] SQUAT: Stateful Quantization-Aware Training in Recurrent Spiking Neural Networks [J]. 2024 NEURO INSPIRED COMPUTATIONAL ELEMENTS CONFERENCE, NICE, 2024,