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model compression

3302 papers

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MC

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knowledge distillation (3725) large language model (13587) neural network (6616) efficient computing (781) neural network optimization (1293) transfer learning (5449) convolutional neural network (4226) neural network pruning (265) language model (4599) parameter efficiency (417)

Papers

Zero-Shot Dynamic Quantization for Transformer Inference EMNLP 2022
Is Integer Arithmetic Enough for Deep Learning Training? NIPS 2022
Efficient Deep Image Denoising via Class Specific Convolution AAAI 2021
Learning Language Specific Sub-network for Multilingual Machine Translation ACL 2021
Editing Factual Knowledge in Language Models EMNLP 2021
Finetuning Pretrained Transformers into RNNs EMNLP 2021
RW-KD: Sample-wise Loss Terms Re-Weighting for Knowledge Distillation EMNLP 2021
DRONE: Data-aware Low-rank Compression for Large NLP Models NIPS 2021
Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers EMNLP 2021
Block-wise Word Embedding Compression Revisited: Better Weighting and Structuring EMNLP 2021
HW-TSC’s Participation in the WMT 2021 Efficiency Shared Task EMNLP 2021
Optimizing Information Theory Based Bitwise Bottlenecks for Efficient Mixed-Precision Activation Quantization AAAI 2021
Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks AAAI 2021
Spike-Thrift: Towards Energy-Efficient Deep Spiking Neural Networks by Limiting Spiking Activity via Attention-Guided Compression WACV 2021
MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation AAAI 2021
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks AAAI 2021
Cross-Layer Distillation with Semantic Calibration AAAI 2021
Adaptive Knowledge Driven Regularization for Deep Neural Networks AAAI 2021
A General Class of Transfer Learning Regression without Implementation Cost AAAI 2021
Harmonized Dense Knowledge Distillation Training for Multi-Exit Architectures AAAI 2021
Mistify: Automating DNN Model Porting for On-Device Inference at the Edge NSDI 2021
Data-Free Knowledge Distillation for Image Super-Resolution CVPR 2021
Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis AAAI 2021
Peer Collaborative Learning for Online Knowledge Distillation AAAI 2021
Step-Ahead Error Feedback for Distributed Training with Compressed Gradient AAAI 2021