| Efficient One Pass Self-distillation with Zipf’s Label Smoothing
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2022 |
Liang, Jiajun |
| Deep Partial Updating: Towards Communication Efficient Updating for On-Device Inference
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2022 |
Qu, Zhongnan |
| L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training
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2022 |
Bae, Jonghyun |
| Mixed-Precision Neural Network Quantization via Learned Layer-Wise Importance
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2022 |
Tang, Chen |
| Equivariance and Invariance Inductive Bias for Learning from Insufficient Data
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2022 |
Wad, Tan |
| Event Neural Networks
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2022 |
Dutson, Matthew |
| IDa-Det: An Information Discrepancy-Aware Distillation for 1-Bit Detectors
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2022 |
Xu, Sheng |
| Disentangled Differentiable Network Pruning
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2022 |
Gao, Shangqian |
| Adaptive Token Sampling for Efficient Vision Transformers
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2022 |
Fayyaz, Mohsen |
| Multi-granularity Pruning for Model Acceleration on Mobile Devices
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2022 |
Zhao, Tianli |
| Helpful or Harmful: Inter-task Association in Continual Learning
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2022 |
Jin, Hyundong |
| Soft Masking for Cost-Constrained Channel Pruning
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2022 |
Humble, Ryan |
| Towards Ultra Low Latency Spiking Neural Networks for Vision and Sequential Tasks Using Temporal Pruning
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2022 |
Chowdhury, Sayeed Shafayet |
| A Simple Approach and Benchmark for 21,000-Category Object Detection
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2022 |
Lin, Yutong |
| Reducing Information Loss for Spiking Neural Networks
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2022 |
Guo, Yufei |
| Learning with Recoverable Forgetting
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2022 |
Ye, Jingwen |
| Streaming Multiscale Deep Equilibrium Models
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2022 |
Ertenli, Can Ufuk |
| Learning to Weight Samples for Dynamic Early-Exiting Networks
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2022 |
Han, Yizeng |
| Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies
|
2022 |
Xing, Xingrun |
| Network Binarization via Contrastive Learning
|
2022 |
Shang, Yuzhang |
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