SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios. - Suraj Kothawade; Nathan Beck; KrishnaTeja Killamsetty; Rishabh K. Iyer (NeurIPS, 2021)

Effective Evaluation of Deep Active Learning on Image Classification Tasks. - Nathan Beck; Durga Sivasubramanian; Apurva Dani; Ganesh Ramakrishnan; Rishabh K. Iyer (CoRR, 2021)

Transfer Reinforcement Learning for Differing Action Spaces via Q-Network Representations. - Nathan Beck; Abhiramon Rajasekharan; Hieu Tran (CoRR, 2022)

STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional Settings. - Nathan Beck; Suraj Kothawade; Pradeep Shenoy; Rishabh K. Iyer (CoRR, 2023)

Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification. - Nathan Beck; Krishnateja Killamsetty; Suraj Kothawade; Rishabh K. Iyer (WACV, 2024)

Theoretical Analysis of Submodular Information Measures for Targeted Data Subset Selection. - Nathan Beck; Truong Pham; Rishabh K. Iyer (CoRR, 2024)

STENCIL: Submodular Mutual Information Based Weak Supervision for Cold-Start Active Learning. - Nathan Beck; Adithya Iyer; Rishabh K. Iyer (CoRR, 2024)