Search Results for author:
Found 2 papers, 1 papers with code
Harmonic Machine Learning Models are Robust
We introduce Harmonic Robustness, a powerful and intuitive method to test the robustness of any machine-learning model either during training or in black-box real-time inference monitoring without ground-truth labels.
Efficient CNN-LSTM based Image Captioning using Neural Network Compression
Modern Neural Networks are eminent in achieving state of the art performance on tasks under Computer Vision, Natural Language Processing and related verticals.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
