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Model Compression

1928 directly classified papers

Papers per year

Papers

E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models ACL 2022
A Passive Similarity based CNN Filter Pruning for Efficient Acoustic Scene Classification INTERSPEECH 2022
AdapterShare: Task Correlation Modeling with Adapter Differentiation EMNLP 2022
TextPruner: A Model Pruning Toolkit for Pre-Trained Language Models ACL 2022
Aligned Weight Regularizers for Pruning Pretrained Neural Networks ACL 2022
Playing Lottery Tickets with Vision and Language AAAI 2022
SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute OSDI 2022
Learning Disentangled Representation in Pruning for Real-Time UAV Tracking ACML 2022
A Novel Differentiable Mixed-Precision Quantization Search Framework for Alleviating the Matthew Effect and Improving Robustness ACML 2022
NAS-VAD: Neural Architecture Search for Voice Activity Detection INTERSPEECH 2022
Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training ICML 2022
Low-Resource Adaptation of Open-Domain Generative Chatbots ACL 2022
Revisiting Parameter-Efficient Tuning: Are We Really There Yet? EMNLP 2022
PATS: Sensitivity-aware Noisy Learning for Pretrained Language Models EMNLP 2022
The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models EMNLP 2022
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning EMNLP 2022
Hypoformer: Hybrid Decomposition Transformer for Edge-friendly Neural Machine Translation EMNLP 2022
HashFormers: Towards Vocabulary-independent Pre-trained Transformers EMNLP 2022
TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion EMNLP 2022
Intriguing Properties of Compression on Multilingual Models EMNLP 2022
Hard Gate Knowledge Distillation - Leverage Calibration for Robust and Reliable Language Model EMNLP 2022
Adapting a Language Model While Preserving its General Knowledge EMNLP 2022
XPrompt: Exploring the Extreme of Prompt Tuning EMNLP 2022
Modular and Parameter-Efficient Fine-Tuning for NLP Models EMNLP 2022
BMCook: A Task-agnostic Compression Toolkit for Big Models EMNLP 2022