Model Compression
1,896 papers
Papers per year
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2
2
7
10
28
56
85
201
187
223
226
348
437
83
'15
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'25
Papers
Lightweight Image Super-Resolution via Flexible Meta Pruning
ICML 2024
Lightweight Transducer Based on Frame-Level Criterion
Interspeech 2024
Linearly Decomposing and Recomposing Vision Transformers for Diverse-Scale Models
NeurIPS 2024
LION: Implicit Vision Prompt Tuning
AAAI 2024
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
NeurIPS 2024
LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization
IJCAI 2024
LLM can Achieve Self-Regulation via Hyperparameter Aware Generation
ACL 2024
LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
NeurIPS 2024
LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit
EMNLP 2024
LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs
IJCAI 2024
LLM in a flash: Efficient Large Language Model Inference with Limited Memory
ACL 2024
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models
ACL 2024
LM-Cocktail: Resilient Tuning of Language Models via Model Merging
ACL 2024
Localizing Task Information for Improved Model Merging and Compression
ICML 2024
LocMoE: A Low-overhead MoE for Large Language Model Training
IJCAI 2024
LoNAS: Elastic Low-Rank Adapters for Efficient Large Language Models
COLING 2024
Look-Up Table Compression for Efficient Image Restoration
CVPR 2024
LoRAExit: Empowering Dynamic Modulation of LLMs in Resource-limited Settings using Low-rank Adapters
EMNLP 2024
LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks
ACL 2024
LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models
EMNLP 2024
LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning
ACL 2024
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild
ACL 2024
LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking
CVPR 2024
Low Precision Local Training is Enough for Federated Learning
NeurIPS 2024
Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach
CVPR 2024