Model Compression

Temporal Dynamic Quantization for Diffusion Models NeurIPS 2023 Tensor-based Kernel Machines with Structured Inducing Points for Large and High-Dimensional Data AISTATS 2023 TexQ: Zero-shot Network Quantization with Texture Feature Distribution Calibration NeurIPS 2023 The Cost of Compression: Investigating the Impact of Compression on Parametric Knowledge in Language Models EMNLP 2023 Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning CVPR 2023 TokenDrop + BucketSampler: Towards Efficient Padding-free Fine-tuning of Language Models EMNLP 2023 Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval CVPR 2023 Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity EMNLP 2023 Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models EMNLP 2023 Train-Once-for-All Personalization CVPR 2023 Treepiece: Faster Semantic Parsing via Tree Tokenization EMNLP 2023 UGC: Unified GAN Compression for Efficient Image-to-Image Translation ICCV 2023 Understanding Int4 Quantization for Language Models: Latency Speedup, Composability, and Failure Cases ICML 2023 Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers NeurIPS 2023 Understanding the Effect of Model Compression on Social Bias in Large Language Models EMNLP 2023 UPSCALE: Unconstrained Channel Pruning ICML 2023 Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints ACL 2023 Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules EMNLP 2023 Watermarking LLMs with Weight Quantization EMNLP 2023 Watermarking PLMs on Classification Tasks by Combining Contrastive Learning with Weight Perturbation EMNLP 2023 Why Random Pruning Is All We Need to Start Sparse ICML 2023 YNU-HPCC at WASSA-2023 Shared Task 1: Large-scale Language Model with LoRA Fine-Tuning for Empathy Detection and Emotion Classification ACL 2023 3DAC: Learning Attribute Compression for Point Clouds CVPR 2022 Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization Interspeech 2022 Accelerating Inference for Pretrained Language Models by Unified Multi-Perspective Early Exiting COLING 2022