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Found 3 papers, 0 papers with code
Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond
The success of data mixing augmentations in image classification tasks has been well-received.
Machine-Learning Prediction of the Computed Band Gaps of Double Perovskite Materials
Prediction of the electronic structure of functional materials is essential for the engineering of new devices.
Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search
Our first key insight is that MultiTask Learning (MTL) and hardware-aware Neural Architecture Search (NAS) can work in synergy to greatly benefit on-device Dense Predictions (DP).
Ranked #105 on
Semantic Segmentation
on NYU Depth v2
Hardware Aware Neural Architecture Search
Neural Architecture Search
+2
