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Nathan Beck
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 9
Top Topics
Human Interactions
Active Learning
Subset Selection
Action Space
Top Venues
CoRR
WACV
NeurIPS
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Publications
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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)
Nathan Beck
,
Truong Pham
,
Rishabh K. Iyer
Theoretical Analysis of Submodular Information Measures for Targeted Data Subset Selection.
CoRR
(2024)
Nathan Beck
,
Adithya Iyer
,
Rishabh K. Iyer
STENCIL: Submodular Mutual Information Based Weak Supervision for Cold-Start Active Learning.
CoRR
(2024)
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
(2023)
Nathan Beck
,
Suraj Kothawade
,
Pradeep Shenoy
,
Rishabh K. Iyer
STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional Settings.
CoRR
(2023)
Nathan Beck
,
Abhiramon Rajasekharan
,
Hieu Tran
Transfer Reinforcement Learning for Differing Action Spaces via Q-Network Representations.
CoRR
(2022)
Nathan Beck
,
Durga Sivasubramanian
,
Apurva Dani
,
Ganesh Ramakrishnan
,
Rishabh K. Iyer
Effective Evaluation of Deep Active Learning on Image Classification Tasks.
CoRR
(2021)
Suraj Kothawade
,
Nathan Beck
,
KrishnaTeja Killamsetty
,
Rishabh K. Iyer
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios.
NeurIPS
(2021)
Suraj Kothawade
,
Nathan Beck
,
KrishnaTeja Killamsetty
,
Rishabh K. Iyer
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios.
CoRR
(2021)