← Application Areas
Machine Learning › Application Areas ›

Model Compression

1503 directly classified papers

Papers per year

Papers

Accelerating Inference for Pretrained Language Models by Unified Multi-Perspective Early Exiting COLING 2022
Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models COLING 2022
AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark ACL 2022
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm ACL 2022
Online Convolutional Re-Parameterization CVPR 2022
HW-TSC’s Submission for the WMT22 Efficiency Task EMNLP 2022
Algorithmic Diversity and Tiny Models: Comparing Binary Networks and the Fruit Fly Algorithm on Document Representation Tasks EMNLP 2022
Performance-Efficiency Trade-Offs in Adapting Language Models to Text Classification Tasks AACL 2022
Knowledge Distillation via Module Replacing for Automatic Speech Recognition with Recurrent Neural Network Transducer INTERSPEECH 2022
Low-complex and Highly-performed Binary Residual Neural Network for Small-footprint Keyword Spotting INTERSPEECH 2022
Low-bit Shift Network for End-to-End Spoken Language Understanding INTERSPEECH 2022
Knowledge Distillation For CTC-based Speech Recognition Via Consistent Acoustic Representation Learning INTERSPEECH 2022
Efficient Two-Stage Progressive Quantization of BERT EMNLP 2022
Decoupled Federated Learning for ASR with Non-IID Data INTERSPEECH 2022
Attribute Injection for Pretrained Language Models: A New Benchmark and an Efficient Method COLING 2022
Knowledge Transfer and Distillation from Autoregressive to Non-Autoregessive Speech Recognition INTERSPEECH 2022
Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization INTERSPEECH 2022
Parameter-Efficient Conformers via Sharing Sparsely-Gated Experts for End-to-End Speech Recognition INTERSPEECH 2022
Multi-View Attention Transfer for Efficient Speech Enhancement INTERSPEECH 2022
Bunched LPCNet2: Efficient Neural Vocoders Covering Devices from Cloud to Edge INTERSPEECH 2022
Dataset Pruning for Resource-constrained Spoofed Audio Detection INTERSPEECH 2022
Deep versus Wide: An Analysis of Student Architectures for Task-Agnostic Knowledge Distillation of Self-Supervised Speech Models INTERSPEECH 2022
ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems AAAI 2022
From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables AAAI 2022
Gradient and Mangitude Based Pruning for Sparse Deep Neural Networks AAAI 2022