model compression

Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting NeurIPS 2024 ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning IJCAI 2024 Partial Binarization of Neural Networks for Budget-Aware Efficient Learning WACV 2024 PB-LLM: Partially Binarized Large Language Models ICLR 2024 PELA: Learning Parameter-Efficient Models with Low-Rank Approximation CVPR 2024 Performance-Guided LLM Knowledge Distillation for Efficient Text Classification at Scale EMNLP 2024 pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning NeurIPS 2024 Pick-or-Mix: Dynamic Channel Sampling for ConvNets CVPR 2024 PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks CVPR 2024 PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models NeurIPS 2024 Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models ICLR 2024 Plug-and-Play Diffusion Distillation CVPR 2024 Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks AAAI 2024 Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model EMNLP 2024 PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation EACL 2024 Privacy-Preserving Face Recognition Using Trainable Feature Subtraction CVPR 2024 PrivCirNet: Efficient Private Inference via Block Circulant Transformation NeurIPS 2024 Probe Then Retrieve and Reason: Distilling Probing and Reasoning Capabilities into Smaller Language Models COLING 2024 Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion AAAI 2024 Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process AAAI 2024 PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA ACL 2024 PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning EMNLP 2024 PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning EMNLP 2024 Provable and Efficient Dataset Distillation for Kernel Ridge Regression NeurIPS 2024 Pruning before Fine-tuning: A Retraining-free Compression Framework for Pre-trained Language Models COLING 2024