Here are my CV and research statement.

Blog: https://ucsdml.github.io/

Pool-based active learning in Python

• Understanding Rare Spurious Correlations in Neural Networks: [paper][code]
• What You See is What You Get: Distributional Generalization for Algorithm Design in Deep Learning: [paper][code]
• TorchAudio: Building Blocks for Audio and Speech Processing: [paper][code][benchmark-implementation]
• Probing Predictions on OOD Images via Nearest Categories: [paper][arxiv][code]
• Connecting Interpretability and Robustness in Decision Trees through Separation: [paper][code]
• A Closer Look at Accuracy vs. Robustness: [paper][code][blog post]
• Robustness for Non-Parametric Classification: A Generic Attack and Defense: [paper][code][blog post]
• Deep Learning with a Rethinking Structure for Multi-label Classification: [paper][code]
• Cost-Sensitive Reference Pair Encoding for Multi-Label Learning: [paper][code]