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Jacob Whitehill

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Automated Evaluation of Classroom Instructional Support with LLMs and BoWs: Connecting Global Predictions to Specific Feedback

Oct 02, 2023
Jacob Whitehill, Jennifer LoCasale-Crouch

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Compositional Affinity Propagation: When Clusters Have Compositional Structure

Sep 09, 2021
Jacob Whitehill, Zeqian Li

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Harnessing Geometric Constraints from Auxiliary Labels to Improve Embedding Functions for One-Shot Learning

Mar 05, 2021
Anand Ramakrishnan, Minh Pham, Jacob Whitehill

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Compositional embedding models for speaker identification and diarization with simultaneous speech from 2+ speakers

Oct 22, 2020
Zeqian Li, Jacob Whitehill

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Toward Automated Classroom Observation: Multimodal Machine Learning to Estimate CLASS Positive Climate and Negative Climate

May 19, 2020
Anand Ramakrishnan, Brian Zylich, Erin Ottmar, Jennifer LoCasale-Crouch, Jacob Whitehill

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Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System

Feb 12, 2020
Nataniel Ruiz, Mona Jalal, Vitaly Ablavsky, Danielle Allessio, John Magee, Jacob Whitehill, Ivon Arroyo, Beverly Woolf, Stan Sclaroff, Margrit Betke

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Compositional Embeddings for Multi-Label One-Shot Learning

Feb 12, 2020
Zeqian Li, Michael C. Mozer, Jacob Whitehill

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Automatic Classifiers as Scientific Instruments: One Step Further Away from Ground-Truth

Dec 19, 2018
Jacob Whitehill

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How Does Knowledge of the AUC Constrain the Set of Possible Ground-truth Labelings?

Sep 11, 2017
Jacob Whitehill

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Climbing the Kaggle Leaderboard by Exploiting the Log-Loss Oracle

Jul 06, 2017
Jacob Whitehill

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