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Papers
EdgeFormer: A Parameter-Efficient Transformer for On-Device Seq2seq Generation
EMNLP 2022
Edinburgh’s Submission to the WMT 2022 Efficiency Task
EMNLP 2022
Effective Model Sparsification by Scheduled Grow-and-Prune Methods
ICLR 2022
Efficient Adversarial Training with Robust Early-Bird Tickets
EMNLP 2022
Efficient Knowledge Distillation from Model Checkpoints
NeurIPS 2022
Efficient Two-Stage Progressive Quantization of BERT
EMNLP 2022
E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models
ACL 2022
Elastic-Link for Binarized Neural Networks
AAAI 2022
Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression
ICLR 2022
End-to-End Simultaneous Speech Translation with Pretraining and Distillation: Huawei Noah’s System for AutoSimTranS 2022
NAACL 2022
Enhancing Task-Specific Distillation in Small Data Regimes through Language Generation
COLING 2022
Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems
EMNLP 2022
Entropy-Driven Mixed-Precision Quantization for Deep Network Design
NeurIPS 2022
EPIC TTS Models: Empirical Pruning Investigations Characterizing Text-To-Speech Models
Interspeech 2022
Equal Bits: Enforcing Equally Distributed Binary Network Weights
AAAI 2022
EtinyNet: Extremely Tiny Network for TinyML
AAAI 2022
Evaluation-Oriented Knowledge Distillation for Deep Face Recognition
CVPR 2022
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
AAAI 2022
Exploring extreme parameter compression for pre-trained language models
ICLR 2022
Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse Training
NeurIPS 2022
Extractive Knowledge Distillation
WACV 2022
EZCrop: Energy-Zoned Channels for Robust Output Pruning
WACV 2022
F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
ICLR 2022
Fast Generic Interaction Detection for Model Interpretability and Compression
ICLR 2022
Fast Grad-TTS: Towards Efficient Diffusion-Based Speech Generation on CPU
Interspeech 2022