Model Compression
1,896 papers
Papers per year
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7
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28
56
85
201
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348
437
83
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Papers
SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters
EMNLP 2022
Sparse Double Descent: Where Network Pruning Aggravates Overfitting
ICML 2022
Sparse Mixers: Combining MoE and Mixing to build a more efficient BERT
EMNLP 2022
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm
ACL 2022
Sparse Structure Search for Delta Tuning
NeurIPS 2022
Sparse Teachers Can Be Dense with Knowledge
EMNLP 2022
Sparsifying Transformer Models with Trainable Representation Pooling
ACL 2022
Spartan: Differentiable Sparsity via Regularized Transportation
NeurIPS 2022
Structural Pruning via Latency-Saliency Knapsack
NeurIPS 2022
Structured Pruning Learns Compact and Accurate Models
ACL 2022
Symbolic Distillation for Learned TCP Congestion Control
NeurIPS 2022
Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation
NeurIPS 2022
TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion
EMNLP 2022
TextPruner: A Model Pruning Toolkit for Pre-Trained Language Models
ACL 2022
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks
ICML 2022
The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains
EMNLP 2022
The State of Sparse Training in Deep Reinforcement Learning
ICML 2022
The trade-offs of model size in large recommendation models : 100GB to 10MB Criteo-tb DLRM model
NeurIPS 2022
Thrifty Neural Architecture Search for Medical Image Segmentation (Student Abstract)
AAAI 2022
Token and Head Adaptive Transformers for Efficient Natural Language Processing
COLING 2022
Token Dropping for Efficient BERT Pretraining
ACL 2022
Too Brittle to Touch: Comparing the Stability of Quantization and Distillation towards Developing Low-Resource MT Models
EMNLP 2022
Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning
ICML 2022
To update or not to update? Neurons at equilibrium in deep models
NeurIPS 2022
Towards Disentangling Information Paths with Coded ResNeXt
NeurIPS 2022