model quantization

ZeRO++: Extremely Efficient Collective Communication for Large Model Training ICLR 2024 2-bit Conformer quantization for automatic speech recognition Interspeech 2023 Adaptive Data-Free Quantization CVPR 2023 Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-Width Deep Neural Networks WACV 2023 Compressed MoE ASR Model Based on Knowledge Distillation and Quantization Interspeech 2023 EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs EMNLP 2023 EQ-Net: Elastic Quantization Neural Networks ICCV 2023 GLM-130B: An Open Bilingual Pre-trained Model ICLR 2023 GWQ: Group-Wise Quantization Framework for Neural Networks ACML 2023 Hard Sample Matters a Lot in Zero-Shot Quantization CVPR 2023 Hyperspherical Quantization: Toward Smaller and More Accurate Models WACV 2023 Intriguing Properties of Quantization at Scale NeurIPS 2023 I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference ICCV 2023 LLM-FP4: 4-Bit Floating-Point Quantized Transformers EMNLP 2023 Lossless 4-bit Quantization of Architecture Compressed Conformer ASR Systems on the 300-hr Switchboard Corpus Interspeech 2023 NIPQ: Noise Proxy-Based Integrated Pseudo-Quantization CVPR 2023 OMPQ: Orthogonal Mixed Precision Quantization AAAI 2023 pNLP-Mixer: an Efficient all-MLP Architecture for Language ACL 2023 PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models ACL 2023 Q-DETR: An Efficient Low-Bit Quantized Detection Transformer CVPR 2023 Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing NeurIPS 2023 Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights? ICML 2023 Self-Distilled Quantization: Achieving High Compression Rates in Transformer-Based Language Models ACL 2023 SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations ICCV 2023 Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective CVPR 2023