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Tyler LaBonte

4 papers · 2023–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze

Venues

NeurIPS (2) AISTATS (1) WACV (1)

Top co-authors

Vidya Muthukumar (3) Abhishek Kumar (2) Kuo-Wei Lai (1) Vibhav Vineet (1) Neel Joshi (1) Yale Song (1) John C. Hill (1) Xin Wang (1) Xinchen Zhang (1)

Research topics

Machine Learning (4) Learning Types · Machine Learning (3) Artificial Intelligence (2) Application Areas (2) Core Methods (2) Computer Vision (1) Deep Learning (1) Analysis (1) Core AI (1) Learning Paradigms (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

worst-group accuracy (2) group robustness (2) spurious correlation (2) transfer learning (1) weakly supervised learning (1) class imbalance (1) empirical risk minimization (1) multiple instance learning (1) linear regression (1) minority group (1) feature reweighting (1) minimum norm interpolation (1) task shift (1) novel object detection (1) last-layer retraining (1) zero-shot learning (1) overparameterized linear model (1) vision transformer (1) few-shot learning (1)

Papers

Task Shift: From Classification to Regression in Overparameterized Linear Models AISTATS 2025 The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations NeurIPS 2024 Scaling Novel Object Detection With Weakly Supervised Detection Transformers WACV 2023 Towards Last-layer Retraining for Group Robustness with Fewer Annotations NeurIPS 2023