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Showing 1711–1720 of 2646 papers

TitleStatusHype
One Timestep is All You Need: Training Spiking Neural Networks with Ultra Low LatencyCode1
A Friend Recommendation System using Semantic Based KNN Algorithm—0
There are free lunches—0
Not All Regions are Worthy to be Distilled: Region-aware Knowledge Distillation Towards Efficient Image-to-Image Translation—0
Global Magnitude Pruning With Minimum Threshold Is All We NeedCode0
Kalman Filter Is All You Need: Optimization Works When Noise Estimation Fails—0
Post-Training Quantization Is All You Need to Perform Cross-Platform Learned Image Compression—0
One Objective for All Models --- Self-supervised Learning for Topic Models—0
FLOAT: FAST LEARNABLE ONCE-FOR-ALL ADVERSARIAL TRAINING FOR TUNABLE TRADE-OFF BETWEEN ACCURACY AND ROBUSTNESS—0
Fast and Efficient Once-For-All Networks for Diverse Hardware Deployment—0
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