Model Compression

Overcoming Forgetting Catastrophe in Quantization-Aware Training ICCV 2023 Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models NeurIPS 2023 Parameter-efficient Dysarthric Speech Recognition Using Adapter Fusion and Householder Transformation Interspeech 2023 Parameter-Efficient Fine-Tuning without Introducing New Latency ACL 2023 Parameter-Efficient Korean Character-Level Language Modeling EACL 2023 Parameter Efficient Local Implicit Image Function Network for Face Segmentation CVPR 2023 Parameter-Efficient Model Adaptation for Vision Transformers AAAI 2023 Parameter-efficient Modularised Bias Mitigation via AdapterFusion EACL 2023 Parameter-Efficient Tuning with Special Token Adaptation EACL 2023 Parameter-efficient Weight Ensembling Facilitates Task-level Knowledge Transfer ACL 2023 Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning EMNLP 2023 PD-Quant: Post-Training Quantization Based on Prediction Difference Metric CVPR 2023 Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference NeurIPS 2023 PerFedMask: Personalized Federated Learning with Optimized Masking Vectors ICLR 2023 PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation ACL 2023 Post-Training Quantization on Diffusion Models CVPR 2023 PowerQuant: Automorphism Search for Non-Uniform Quantization ICLR 2023 PRANC: Pseudo RAndom Networks for Compacting Deep Models ICCV 2023 PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter EMNLP 2023 Prefix Propagation: Parameter-Efficient Tuning for Long Sequences ACL 2023 PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models ACL 2023 Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers NeurIPS 2023 Privacy-Preserving End-to-End Spoken Language Understanding IJCAI 2023 Probabilistic Weight Fixing: Large-scale training of neural network weight uncertainties for quantisation. NeurIPS 2023 PruMUX: Augmenting Data Multiplexing with Model Compression ACL 2023