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Efficient Computing

716 papers

Papers per year

47
183
'20
'25

Papers

ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks AAAI 2023
Fast Fluid Simulation via Dynamic Multi-Scale Gridding AAAI 2023
CF-ViT: A General Coarse-to-Fine Method for Vision Transformer AAAI 2023
Balanced Column-Wise Block Pruning for Maximizing GPU Parallelism AAAI 2023
AutoGraph: Optimizing DNN Computation Graph for Parallel GPU Kernel Execution AAAI 2023
Low Emission Building Control with Zero-Shot Reinforcement Learning AAAI 2023
Carburacy: Summarization Models Tuning and Comparison in Eco-Sustainable Regimes with a Novel Carbon-Aware Accuracy AAAI 2023
Dynamic Transformers Provide a False Sense of Efficiency ACL 2023
Revisiting Token Dropping Strategy in Efficient BERT Pretraining ACL 2023
A Length-Extrapolatable Transformer ACL 2023
Fixed Input Parameterization for Efficient Prompting ACL 2023
Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models ACL 2023
LightFormer: Light-weight Transformer Using SVD-based Weight Transfer and Parameter Sharing ACL 2023
MUX-PLMs: Pre-training Language Models with Data Multiplexing ACL 2023
You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model CVPR 2023
Energy-Efficient Adaptive 3D Sensing CVPR 2023
MobileOne: An Improved One Millisecond Mobile Backbone CVPR 2023
Learning To Zoom and Unzoom CVPR 2023
FFCV: Accelerating Training by Removing Data Bottlenecks CVPR 2023
DynamicDet: A Unified Dynamic Architecture for Object Detection CVPR 2023
Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers CVPR 2023
Motion Information Propagation for Neural Video Compression CVPR 2023
Efficient Encoders for Streaming Sequence Tagging EACL 2023
The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment EMNLP 2023
CoLT5: Faster Long-Range Transformers with Conditional Computation EMNLP 2023