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Model Compression

1,952 papers

Papers per year

6
114
489
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Papers

LoNAS: Elastic Low-Rank Adapters for Efficient Large Language Models COLING 2024
Low-Rank Prune-And-Factorize for Language Model Compression COLING 2024
Multilingual Brain Surgeon: Large Language Models Can Be Compressed Leaving No Language behind COLING 2024
On the Way to Lossless Compression of Language Transformers: Exploring Cross-Domain Properties of Quantization COLING 2024
Probe Then Retrieve and Reason: Distilling Probing and Reasoning Capabilities into Smaller Language Models COLING 2024
Pruning before Fine-tuning: A Retraining-free Compression Framework for Pre-trained Language Models COLING 2024
RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions COLING 2024
Sinkhorn Distance Minimization for Knowledge Distillation COLING 2024
SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models COLING 2024
Task-agnostic Distillation of Encoder-Decoder Language Models COLING 2024
Knowledge Editing for Large Language Models COLING 2024
Language-Specific Pruning for Efficient Reduction of Large Language Models COLING 2024
Global-Pruner: A Stable and Efficient Pruner for Retraining-Free Pruning of Encoder-Based Language Models CONLL 2024
Further Compressing Distilled Language Models via Frequency-aware Partial Sparse Coding of Embeddings CONLL 2024
FedMef: Towards Memory-efficient Federated Dynamic Pruning CVPR 2024
Data-Free Quantization via Pseudo-label Filtering CVPR 2024
Plug-and-Play Diffusion Distillation CVPR 2024
Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models CVPR 2024
Adversarial Distillation Based on Slack Matching and Attribution Region Alignment CVPR 2024
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch CVPR 2024
All Rivers Run to the Sea: Private Learning with Asymmetric Flows CVPR 2024
Resource-Efficient Transformer Pruning for Finetuning of Large Models CVPR 2024
Adapters Strike Back CVPR 2024
Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs CVPR 2024
Bootstrapping SparseFormers from Vision Foundation Models CVPR 2024