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Efficient Computing
596 directly classified papers
Papers per year
2007: 2
2009: 1
2011: 1
2014: 2
2016: 1
2017: 4
2018: 7
2019: 20
2020: 47
2021: 53
2022: 70
2023: 60
2024: 140
2025: 183
2026: 5
Papers
Sparse Instance Activation for Real-Time Instance Segmentation
CVPR 2022
Reversible Vision Transformers
CVPR 2022
Rep-Net: Efficient On-Device Learning via Feature Reprogramming
CVPR 2022
Federated Learning With Position-Aware Neurons
CVPR 2022
BigDL 2.0: Seamless Scaling of AI Pipelines From Laptops to Distributed Cluster
CVPR 2022
Automated Progressive Learning for Efficient Training of Vision Transformers
CVPR 2022
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems
CVPR 2022
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation
CVPR 2022
Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better Than Dot-Product Self-Attention
CVPR 2022
Instance-Aware Dynamic Neural Network Quantization
CVPR 2022
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition
CVPR 2022
Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search
CVPR 2022
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics
NIPS 2022
Analyzing and Mitigating Interference in Neural Architecture Search
ICML 2022
Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training
NIPS 2022
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling
NIPS 2022
Hybrid Neural Networks for On-Device Directional Hearing
AAAI 2022
Look More but Care Less in Video Recognition
NIPS 2022
Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations
NIPS 2022
TA-GATES: An Encoding Scheme for Neural Network Architectures
NIPS 2022
Temporal Effective Batch Normalization in Spiking Neural Networks
NIPS 2022
Non-Autoregressive Machine Translation: It’s Not as Fast as it Seems
NAACL 2022
Deep residual spiking neural network for keyword spotting in low-resource settings
INTERSPEECH 2022
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection
ICML 2022
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning
JMLR 2022
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