Sotabase

Career

· Teaching Assistant, CS330 Deep Multi-Task and Meta Learning, Stanford University2023–2023
· PhD in Computer Science, Stanford University2021–
· Teaching Assistant, Deep Learning, POSCO Group2017–2018
· Teaching Assistant, CSED101 Programming and Problem Solving, POSTECH2017–2017
· Teaching Assistant, AI Job Training, POSTECH Institute of AI2017–2017
· Teaching Assistant, Machine Learning for Business, Samsung Electronics2017–2017
· M.S. Computer Science, Pohang University of Science and Technology2016–2018
· B.S. Mathematics, University of California, Berkeley2014–2015
· B.S. Mathematics, Pohang University of Science and Technology2012–2016

Publications (43)

DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
International Conference on Machine Learning · 2023
879
cited
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace
International Conference on Machine Learning · 2018
367
cited
Set Transformer
International Conference on Machine Learning · 2018
270
cited
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
International Conference on Learning Representations · 2022
259
cited
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
Neural Information Processing Systems · 2022
107
cited
Diversify and Disambiguate: Learning From Underspecified Data
arXiv.org · 2022
74
cited
Bootstrapping Neural Processes
Neural Information Processing Systems · 2020
49
cited
Diversity Matters When Learning From Ensembles
Neural Information Processing Systems · 2021
43
cited
Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement
International Conference on Learning Representations · 2023
31
cited
Meta-Learning with Adaptive Layerwise Metric and Subspace
arXiv.org · 2018
27
cited
Deep Amortized Clustering
arXiv.org · 2019
24
cited
Bidirectional Decoding: Improving Action Chunking via Closed-Loop Resampling
arXiv.org · 2024
21
cited
On Divergence Measures for Bayesian Pseudocoresets
Neural Information Processing Systems · 2022
13
cited
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features
arXiv.org · 2023
12
cited
Clarify: Improving Model Robustness With Natural Language Corrections
ACM Symposium on User Interface Software and Technology · 2024
11
cited
Neural Complexity Measures
Neural Information Processing Systems · 2020
11
cited
AutoFT: Robust Fine-Tuning by Optimizing Hyperparameters on OOD Data
arXiv.org · 2024
7
cited
Conservative Prediction via Data-Driven Confidence Minimization
Trans. Mach. Learn. Res. · 2023
7
cited
Test-Time Alignment via Hypothesis Reweighting
arXiv.org · 2024
7
cited
Amortized Probabilistic Detection of Communities in Graphs
2020
6
cited
Sotabase
Yoonho Lee | Researcher Profile | Sotabase | Sotabase