Yoonho Lee
17 papers · 2018–2025 · 5 venues · across top CS/AI venues
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (44)
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Century Club · Bronze
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Learning Paradigms · Artificial Intelligence
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distribution shift
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domain generalization
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attention mechanism
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large language model
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ensemble learning
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self-supervised learning
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representation learning
(2)
model calibration
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transfer learning
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domain adaptation
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uncertainty quantification
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few-shot learning
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knowledge distillation
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text classification
(1)
bayesian inference
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imitation learning
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feature extraction
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image classification
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Papers
Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling
ICLR 2025
Subgraph Federated Learning for Local Generalization
ICLR 2025
Calibrating Language Models with Adaptive Temperature Scaling
EMNLP 2024
Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features
ICLR 2024
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning
ICLR 2024
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
ICML 2023
Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement
ICLR 2023
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
ICLR 2023
On Divergence Measures for Bayesian Pseudocoresets
NeurIPS 2022
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
NeurIPS 2022
Diversity Matters When Learning From Ensembles
NeurIPS 2021
On the distribution of penultimate activations of classification networks
UAI 2021
Bootstrapping neural processes
NeurIPS 2020
Neural Complexity Measures
NeurIPS 2020
Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning
NeurIPS 2019
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
ICML 2019
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace
ICML 2018