Projects: Debiasing language models with smart prompt design, Effectively choosing the tasks in multitask settings, Handling class imbalance for deep learning, Robust Representation Learning, Automatic Data Augmentation, Deleting Data from ML Models, Visual Algorithms for Clustering
Projects: Language-Guided Continual Learning, Learning to Learn More with Less
Projects: Safe Hierarchical Planning and Control, Learning Model Residuals in Simulation
Projects: Medical Scoring Systems with Fair Use Guarantees
Projects: Debiasing language models with smart prompt design
Projects: Safe Hierarchical Planning and Control, Interpretable Planning for Safe Autonomous Systems
Projects: Algorithmic Recourse Feasibility in Real World Deployments
Projects: Anti-Muslim bias in CLIP
Projects: Sampling non-convex spaces with memory, A web app for the reproducible simulation of biological models
Projects: Automatic Data Augmentation, Deleting Data from ML Models
Projects: Learning representations from arbitrary boolean functions
Projects: Semi-automated feature calling in genomic datasets
Projects: Addressing the Problem of Catastrophic Forgetting in Continual Learning, Automatic Thesaurus Generation for a Low Resourced Language
Projects: Symbolic maths boosted via function evaluations
Projects: Robust Representation Learning
Projects: Addressing the bias in Federated Learning
Projects: Handling class imbalance for deep learning