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Model Compression

1503 directly classified papers

Papers per year

Papers

Tricks for Training Sparse Translation Models NAACL 2022
YOLO-ReT: Towards High Accuracy Real-Time Object Detection on Edge GPUs WACV 2022
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance ICML 2022
Resilient and Communication Efficient Learning for Heterogeneous Federated Systems ICML 2022
GRAM: Fast Fine-tuning of Pre-trained Language Models for Content-based Collaborative Filtering NAACL 2022
Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization IJCAI 2022
Pseudo-spherical Knowledge Distillation IJCAI 2022
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning IJCAI 2022
MONICA2: Mobile Neural Voice Command Assistants towards Smaller and Smarter AAAI 2022
Adversarial Data Augmentation for Task-Specific Knowledge Distillation of Pre-trained Transformers AAAI 2022
DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding AAAI 2022
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems AAAI 2022
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better AAAI 2022
SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures AAAI 2022
Safe Distillation Box AAAI 2022
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks ICML 2022
To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding IJCAI 2022
Revisiting Locality Sensitive Hashing for Vocabulary Selection in Fast Neural Machine Translation EMNLP 2022
DACT-BERT: Differentiable Adaptive Computation Time for an Efficient BERT Inference ACL 2022
Aligned Weight Regularizers for Pruning Pretrained Neural Networks ACL 2022
Compressing Sentence Representation for Semantic Retrieval via Homomorphic Projective Distillation ACL 2022
FNet: Mixing Tokens with Fourier Transforms NAACL 2022
The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation NAACL 2022
BMInf: An Efficient Toolkit for Big Model Inference and Tuning ACL 2022
Pro-KD: Progressive Distillation by Following the Footsteps of the Teacher COLING 2022