model quantization

Temporal Dynamic Quantization for Diffusion Models NeurIPS 2023 The case for 4-bit precision: k-bit Inference Scaling Laws ICML 2023 The Cost of Compression: Investigating the Impact of Compression on Parametric Knowledge in Language Models EMNLP 2023 Towards Efficient and Accurate Winograd Convolution via Full Quantization NeurIPS 2023 Training Transformers with 4-bit Integers NeurIPS 2023 Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic ICLR 2023 Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models EMNLP 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 A Novel Differentiable Mixed-Precision Quantization Search Framework for Alleviating the Matthew Effect and Improving Robustness ACML 2022 AsyncFL: Asynchronous Federated Learning Using Majority Voting with Quantized Model Updates (Student Abstract) AAAI 2022 BiT: Robustly Binarized Multi-distilled Transformer NeurIPS 2022 Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization ICML 2022 BMCook: A Task-agnostic Compression Toolkit for Big Models EMNLP 2022 BMInf: An Efficient Toolkit for Big Model Inference and Tuning ACL 2022 ClimbQ: Class Imbalanced Quantization Enabling Robustness on Efficient Inferences NeurIPS 2022 Compression of Generative Pre-trained Language Models via Quantization ACL 2022 DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning ICML 2022 Deeply Tensor Compressed Transformers for End-to-End Object Detection AAAI 2022 DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization ACL 2022 Edinburgh’s Submission to the WMT 2022 Efficiency Task EMNLP 2022 Efficient Two-Stage Progressive Quantization of BERT EMNLP 2022 Fast Lossless Neural Compression with Integer-Only Discrete Flows ICML 2022 FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer IJCAI 2022 It's All in the Teacher: Zero-Shot Quantization Brought Closer to the Teacher CVPR 2022