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model compression

3283 papers

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MC

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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

A Metric-Driven Approach to Conformer Layer Pruning for Efficient ASR Inference INTERSPEECH 2023
Compressed MoE ASR Model Based on Knowledge Distillation and Quantization INTERSPEECH 2023
Equivalent Transformation and Dual Stream Network Construction for Mobile Image Super-Resolution CVPR 2023
An Efficient and Noise-Robust Audiovisual Encoder for Audiovisual Speech Recognition INTERSPEECH 2023
XiNet: Efficient Neural Networks for tinyML ICCV 2023
BiViT: Extremely Compressed Binary Vision Transformers ICCV 2023
SparseMAE: Sparse Training Meets Masked Autoencoders ICCV 2023
BT^2: Backward-compatible Training with Basis Transformation ICCV 2023
Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning ICCV 2023
EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization ICCV 2023
Overcoming Forgetting Catastrophe in Quantization-Aware Training ICCV 2023
A Binary Keyword Spotting System with Error-Diffusion Based Feature Binarization INTERSPEECH 2023
EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs AAAI 2023
FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exits CVPR 2023
DisWOT: Student Architecture Search for Distillation WithOut Training CVPR 2023
CoMFLP: Correlation Measure Based Fast Search on ASR Layer Pruning INTERSPEECH 2023
Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis CVPR 2023
One-Step Knowledge Distillation and Fine-Tuning in Using Large Pre-Trained Self-Supervised Learning Models for Speaker Verification INTERSPEECH 2023
Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers CVPR 2023
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer CVPR 2023
Self-Decoupling and Ensemble Distillation for Efficient Segmentation AAAI 2023
EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning ACL 2023
FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference ACL 2023
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models ACL 2023
Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models ACL 2023