quantization-aware training

Zoneformer: On-device Neural Beamformer For In-car Multi-zone Speech Separation, Enhancement and Echo Cancellation Interspeech 2023 4-bit Conformer with Native Quantization Aware Training for Speech Recognition Interspeech 2022 Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization Interspeech 2022 FP8 Quantization: The Power of the Exponent NeurIPS 2022 On-Device Training Under 256KB Memory NeurIPS 2022 Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training ICML 2022 Overcoming Oscillations in Quantization-Aware Training ICML 2022 RAPQ: Rescuing Accuracy for Power-of-Two Low-bit Post-training Quantization IJCAI 2022 Sub-8-Bit Quantization Aware Training for 8-Bit Neural Network Accelerator with On-Device Speech Recognition Interspeech 2022 Understanding and Improving Knowledge Distillation for Quantization Aware Training of Large Transformer Encoders EMNLP 2022 Degree-Quant: Quantization-Aware Training for Graph Neural Networks ICLR 2021 FracBits: Mixed Precision Quantization via Fractional Bit-Widths AAAI 2021 Improving Low-Precision Network Quantization via Bin Regularization ICCV 2021 Once Quantization-Aware Training: High Performance Extremely Low-Bit Architecture Search ICCV 2021 Training with Quantization Noise for Extreme Model Compression ICLR 2021 Understanding and Overcoming the Challenges of Efficient Transformer Quantization EMNLP 2021 A Statistical Framework for Low-bitwidth Training of Deep Neural Networks NeurIPS 2020 DFQF: Data Free Quantization-aware Fine-tuning ACML 2020 Quantization Aware Training with Absolute-Cosine Regularization for Automatic Speech Recognition Interspeech 2020 On-device Structured and Context Partitioned Projection Networks ACL 2019