neural network quantization

Extremely Low Bit Quantization for Mobile Speaker Verification Systems Under 1MB Memory Interspeech 2023 Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers ICCV 2023 One-Shot Model for Mixed-Precision Quantization CVPR 2023 Post-Training Quantization on Diffusion Models CVPR 2023 PowerQuant: Automorphism Search for Non-Uniform Quantization ICLR 2023 Pruning vs Quantization: Which is Better? NeurIPS 2023 Q-Diffusion: Quantizing Diffusion Models ICCV 2023 Rethinking Data-Free Quantization as a Zero-Sum Game AAAI 2023 REx: Data-Free Residual Quantization Error Expansion NeurIPS 2023 SPIQ: Data-Free Per-Channel Static Input Quantization WACV 2023 TexQ: Zero-shot Network Quantization with Texture Feature Distribution Calibration NeurIPS 2023 A Deep Learning-Based Face Mask Detector for Autonomous Nano-Drones (Student Abstract) AAAI 2022 Channel Balancing for Accurate Quantization of Winograd Convolutions CVPR 2022 Elastic-Link for Binarized Neural Networks AAAI 2022 Equal Bits: Enforcing Equally Distributed Binary Network Weights AAAI 2022 EtinyNet: Extremely Tiny Network for TinyML AAAI 2022 Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks ICML 2022 FP8 Quantization: The Power of the Exponent NeurIPS 2022 Improved Gradient-Based Adversarial Attacks for Quantized Networks AAAI 2022 Instance-Aware Dynamic Neural Network Quantization CVPR 2022 Learnable Lookup Table for Neural Network Quantization CVPR 2022 Mr.BiQ: Post-Training Non-Uniform Quantization Based on Minimizing the Reconstruction Error CVPR 2022 MultiQuant: Training Once for Multi-bit Quantization of Neural Networks IJCAI 2022 Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation CVPR 2022 Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise NeurIPS 2022