Approaches to Overcoming Project Obstacles

[Paper Explain] Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection

GraphRel: A way of using graph neural network for relation extraction, pros and cons.

Enhancing Adversarial Defense through Noisy Training

[B5'] Smooth Adversarial Training

Quantization với Pytorch - Phần 2: Tính toán và ứng dụng

[Paper Explain] Two-phase training mitigates class imbalance for camera trap image classification with CNNs

Training YOLOv5 with Custom Datasets Using Colab

[Paper Explain] Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection

[Paper Explain] Deep Learning on a Data Diet: Finding Important Examples Early in Training