Model Compression
1,896 papers
Papers per year
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7
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28
56
85
201
187
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348
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83
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Papers
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks
AAAI 2021
Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers
EMNLP 2021
Sustainable Modular Debiasing of Language Models
EMNLP 2021
Teacher Guided Neural Architecture Search for Face Recognition
AAAI 2021
The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization
NeurIPS 2021
The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures
CVPR 2021
The Lottery Ticket Hypothesis for Object Recognition
CVPR 2021
The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models
CVPR 2021
The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine Translation
EMNLP 2021
Towards Compact CNNs via Collaborative Compression
CVPR 2021
Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework
CVPR 2021
Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure
CVPR 2021
Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices
IJCAI 2021
Towards Zero-Shot Knowledge Distillation for Natural Language Processing
EMNLP 2021
TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning
AAAI 2021
Tree-Like Decision Distillation
CVPR 2021
Troubleshooting Blind Image Quality Models in the Wild
CVPR 2021
TRQ: Ternary Neural Networks With Residual Quantization
AAAI 2021
Ultra-High Dimensional Sparse Representations with Binarization for Efficient Text Retrieval
EMNLP 2021
Uncertainty-aware Binary Neural Networks
IJCAI 2021
UnClE: Explicitly Leveraging Semantic Similarity to Reduce the Parameters of Word Embeddings
EMNLP 2021
Understanding and Overcoming the Challenges of Efficient Transformer Quantization
EMNLP 2021
Universal-KD: Attention-based Output-Grounded Intermediate Layer Knowledge Distillation
EMNLP 2021
Virtual Fully-Connected Layer: Training a Large-Scale Face Recognition Dataset With Limited Computational Resources
CVPR 2021
Weight Distillation: Transferring the Knowledge in Neural Network Parameters
ACL 2021