| Masked Generative Distillation
|
2022 |
Yang, Zhendong |
| Prune Your Model Before Distill It
|
2022 |
Park, Jinhyuk |
| Fine-grained Data Distribution Alignment for Post-Training Quantization
|
2022 |
Zhong, Yunshan |
| SP-Net: Slowly Progressing Dynamic Inference Networks
|
2022 |
Wang, Huanyu |
| 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 |
| A Simple Approach and Benchmark for 21,000-Category Object Detection
|
2022 |
Lin, Yutong |
| Reducing Information Loss for Spiking Neural Networks
|
2022 |
Guo, Yufei |
| Learning with Recoverable Forgetting
|
2022 |
Ye, Jingwen |
| Streaming Multiscale Deep Equilibrium Models
|
2022 |
Ertenli, Can Ufuk |
| Learning to Weight Samples for Dynamic Early-Exiting Networks
|
2022 |
Han, Yizeng |
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