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Nathan Beck
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2020 – today
- 2024
- [c2]Nathan Beck, Krishnateja Killamsetty, Suraj Kothawade, Rishabh K. Iyer:
Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification. WACV 2024: 2869-2877 - [i7]Nathan Beck, Truong Pham, Rishabh K. Iyer:
Theoretical Analysis of Submodular Information Measures for Targeted Data Subset Selection. CoRR abs/2402.13454 (2024) - [i6]Nathan Beck, Adithya Iyer, Rishabh K. Iyer:
STENCIL: Submodular Mutual Information Based Weak Supervision for Cold-Start Active Learning. CoRR abs/2402.13468 (2024) - 2023
- [i5]Nathan Beck, Suraj Kothawade, Pradeep Shenoy, Rishabh K. Iyer:
STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional Settings. CoRR abs/2305.10643 (2023) - [i4]Nathan Beck, Krishnateja Killamsetty, Suraj Kothawade, Rishabh K. Iyer:
Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification. CoRR abs/2306.01277 (2023) - 2022
- [i3]Nathan Beck, Abhiramon Rajasekharan, Hieu Tran:
Transfer Reinforcement Learning for Differing Action Spaces via Q-Network Representations. CoRR abs/2202.02442 (2022) - 2021
- [c1]Suraj Kothawade, Nathan Beck, KrishnaTeja Killamsetty, Rishabh K. Iyer:
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios. NeurIPS 2021: 18685-18697 - [i2]Nathan Beck, Durga Sivasubramanian, Apurva Dani, Ganesh Ramakrishnan, Rishabh K. Iyer:
Effective Evaluation of Deep Active Learning on Image Classification Tasks. CoRR abs/2106.15324 (2021) - [i1]Suraj Kothawade, Nathan Beck, KrishnaTeja Killamsetty, Rishabh K. Iyer:
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios. CoRR abs/2107.00717 (2021)
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