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model compression

3283 papers

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MC

Co-occurring keywords

knowledge distillation (3680) large language model (12755) neural network (6616) efficient computing (779) neural network optimization (1293) transfer learning (5442) convolutional neural network (4216) neural network pruning (265) language model (4573) parameter efficiency (415)

Papers

Batch Normalization Tells You Which Filter Is Important WACV 2022
Supervised Compression for Resource-Constrained Edge Computing Systems WACV 2022
FT-DeepNets: Fault-Tolerant Convolutional Neural Networks With Kernel-Based Duplication WACV 2022
PPCD-GAN: Progressive Pruning and Class-Aware Distillation for Large-Scale Conditional GANs Compression WACV 2022
EZCrop: Energy-Zoned Channels for Robust Output Pruning WACV 2022
Lightweight Monocular Depth With a Novel Neural Architecture Search Method WACV 2022
Channel Pruning via Lookahead Search Guided Reinforcement Learning WACV 2022
Knowledge Distillation with Reptile Meta-Learning for Pretrained Language Model Compression COLING 2022
One-Teacher and Multiple-Student Knowledge Distillation on Sentiment Classification COLING 2022
Attribute Injection for Pretrained Language Models: A New Benchmark and an Efficient Method COLING 2022
MockingBERT: A Method for Retroactively Adding Resilience to NLP Models COLING 2022
Specializing Pre-trained Language Models for Better Relational Reasoning via Network Pruning NAACL 2022
Alternative non-BERT model choices for the textual classification in low-resource languages and environments NAACL 2022
Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching NAACL 2022
End-to-End Simultaneous Speech Translation with Pretraining and Distillation: Huawei Noah’s System for AutoSimTranS 2022 NAACL 2022
Why Knowledge Distillation Amplifies Gender Bias and How to Mitigate from the Perspective of DistilBERT NAACL 2022
Tricks for Training Sparse Translation Models NAACL 2022
Adaptable Adapters NAACL 2022
The State of Sparse Training in Deep Reinforcement Learning ICML 2022
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning ICML 2022
Training Your Sparse Neural Network Better with Any Mask ICML 2022
Accelerated Federated Learning with Decoupled Adaptive Optimization ICML 2022
Permutation Search of Tensor Network Structures via Local Sampling ICML 2022
Overcoming Oscillations in Quantization-Aware Training ICML 2022
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging ICML 2022