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Methodology
← Optimization & Theory
Deep Learning
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Optimization & Theory
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Model Compression
1674 directly classified papers
Papers per year
2012: 1
2013: 2
2014: 2
2015: 7
2016: 9
2017: 27
2018: 51
2019: 79
2020: 189
2021: 165
2022: 206
2023: 207
2024: 325
2025: 399
2026: 5
Papers
Entropy Induced Pruning Framework for Convolutional Neural Networks
AAAI 2024
Consecutive Batch Model Editing with HooK Layers
EMNLP 2024
IRPruneDet: Efficient Infrared Small Target Detection via Wavelet Structure-Regularized Soft Channel Pruning
AAAI 2024
LION: Implicit Vision Prompt Tuning
AAAI 2024
Shapley Head Pruning: Identifying and Removing Interference in Multilingual Transformers
EACL 2023
Effectiveness of Data Augmentation for Parameter Efficient Tuning with Limited Data
ACL 2023
MUX-PLMs: Pre-training Language Models with Data Multiplexing
ACL 2023
EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning
ACL 2023
Structured Pruning for Efficient Generative Pre-trained Language Models
ACL 2023
Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference
ACL 2023
LightFormer: Light-weight Transformer Using SVD-based Weight Transfer and Parameter Sharing
ACL 2023
Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method
ACL 2023
Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers
EACL 2023
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation
ACL 2023
Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models
ACL 2023
Distill or Annotate? Cost-Efficient Fine-Tuning of Compact Models
ACL 2023
Rehearsal-free Continual Language Learning via Efficient Parameter Isolation
ACL 2023
GreenKGC: A Lightweight Knowledge Graph Completion Method
ACL 2023
Revisiting Token Dropping Strategy in Efficient BERT Pretraining
ACL 2023
Masked Autoencoders Enable Efficient Knowledge Distillers
CVPR 2023
1% VS 100%: Parameter-Efficient Low Rank Adapter for Dense Predictions
CVPR 2023
X-Pruner: eXplainable Pruning for Vision Transformers
CVPR 2023
ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector
CVPR 2023
Effective Ambiguity Attack Against Passport-Based DNN Intellectual Property Protection Schemes Through Fully Connected Layer Substitution
CVPR 2023
FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-Off Between Accuracy and Robustness
WACV 2023
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