Nathan Beck

According to our database, Nathan Beck authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

STENCIL: Submodular Mutual Information Based Weak Supervision for Cold-Start Active Learning.

Nathan Beck, Adithya Iyer, Rishabh K. Iyer

CoRR, 2024

Theoretical Analysis of Submodular Information Measures for Targeted Data Subset Selection.

Nathan Beck, Truong Pham, Rishabh K. Iyer

CoRR, 2024

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional Settings.

Nathan Beck, Suraj Kothawade, Pradeep Shenoy, Rishabh K. Iyer

CoRR, 2023

2022

Transfer Reinforcement Learning for Differing Action Spaces via Q-Network Representations.

Nathan Beck, Abhiramon Rajasekharan, Hieu Tran

CoRR, 2022

2021

Effective Evaluation of Deep Active Learning on Image Classification Tasks.

Nathan Beck, Durga Sivasubramanian, Apurva Dani, Ganesh Ramakrishnan, Rishabh K. Iyer

CoRR, 2021

SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios.

Suraj Kothawade, Nathan Beck, KrishnaTeja Killamsetty, Rishabh K. Iyer

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021