Learning with Recoverable Forgetting

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Veröffentlicht in:ECCV (17. : 2022 : Tel Aviv; Online) Computer vision – ECCV 2022 ; Part 11
1. Verfasser: Ye, Jingwen (VerfasserIn)
Weitere Verfasser: Fu, Yifang (VerfasserIn), Song, Jie (VerfasserIn), Yang, Xingyi (VerfasserIn), Liu, Songhua (VerfasserIn), Jin, Xin (VerfasserIn), Song, Mingli (VerfasserIn), Wang, Xinchao (VerfasserIn)
Pages:2022
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Sprache:eng
Veröffentlicht: 2022
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EdgeViTs: Competing Light-Weight CNNs on Mobile Devices with Vision Transformers 2022 Pan, Junting
PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators 2022 Hu, Qinghao
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets 2022 Tu, Zhijun
Self-slimmed Vision Transformer 2022 Zong, Zhuofan
Weight Fixing Networks 2022 Subia-Waud, Christopher
Switchable Online Knowledge Distillation 2022 Qian, Biao
SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks 2022 Lin, Chien-Yu
Ensemble Knowledge Guided Sub-network Search and Fine-Tuning for Filter Pruning 2022 Lee, Seunghyun
Lipschitz Continuity Retained Binary Neural Network 2022 Shang, Yuzhang
Meta-GF: Training Dynamic-Depth Neural Networks Harmoniously 2022 Sun, Yi
Towards Accurate Network Quantization with Equivalent Smooth Regularizer 2022 Solodskikh, Kirill
Efficient One Pass Self-distillation with Zipf’s Label Smoothing 2022 Liang, Jiajun
Deep Partial Updating: Towards Communication Efficient Updating for On-Device Inference 2022 Qu, Zhongnan
L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training 2022 Bae, Jonghyun
Mixed-Precision Neural Network Quantization via Learned Layer-Wise Importance 2022 Tang, Chen
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data 2022 Wad, Tan
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