4 papers · 1 filter
Active Query Selection for Crowd-Based Reinforcement Learning
Jonathan Erskine, Taku Yamagata, Raúl Santos-Rodríguez
Preference-based reinforcement learning has gained prominence as a strategy for training agents in environments where the reward signal is difficult to specify or misaligned with h…
Adaptive Pruning with Module Robustness Sensitivity: Balancing Compression and Robustness
Lincen Bai, Hedi Tabia, Raúl Santos-Rodríguez
Neural network pruning has traditionally focused on weight-based criteria to achieve model compression, frequently overlooking the crucial balance between adversarial robustness an…
Learning Confidence Bounds for Classification with Imbalanced Data
Matt Clifford, Jonathan Erskine, Alexander Hepburn +2
Class imbalance poses a significant challenge in classification tasks, where traditional approaches often lead to biased models and unreliable predictions. Undersampling and oversa…
Monitoring Sustainable Global Development Along Shared Socioeconomic Pathways
Michelle W. L. Wan, Jeffrey N. Clark, Edward A. Small +2
Sustainable global development is one of the most prevalent challenges facing the world today, hinging on the equilibrium between socioeconomic growth and environmental sustainabil…