Yoonho Lee
17 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (5) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (7)
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Keyword Pioneer
🐣
Hot Topic Early Bird
📈
Trend Setter
🔥
Unstoppable
(8)
🗃️
Keyword Collector
(54)
💎
Century Club
(17)
Conferences
ICLR (6)
NIPS (6)
ICML (3)
EMNLP (1)
UAI (1)
Top co-authors
Keywords
uncertainty quantification
(2)
few-shot learning
(2)
knowledge distillation
(2)
model calibration
(2)
attention mechanism
(2)
large language model
(2)
variational inference
(1)
domain generalization
(1)
continual learning
(1)
distribution shift
(1)
text classification
(1)
self-supervised learning
(1)
bayesian inference
(1)
visual reasoning
(1)
kl divergence
(1)
ensemble learning
(1)
reinforcement learning from human feedback
(1)
gradient descent
(1)
metric learning
(1)
image classification
(1)
Papers
Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling
ICLR 2025
Subgraph Federated Learning for Local Generalization
ICLR 2025
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning
ICLR 2024
Calibrating Language Models with Adaptive Temperature Scaling
EMNLP 2024
Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features
ICLR 2024
Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement
ICLR 2023
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
ICLR 2023
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
ICML 2023
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
NIPS 2022
On Divergence Measures for Bayesian Pseudocoresets
NIPS 2022
On the distribution of penultimate activations of classification networks
UAI 2021
Diversity Matters When Learning From Ensembles
NIPS 2021
Neural Complexity Measures
NIPS 2020
Bootstrapping neural processes
NIPS 2020
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
ICML 2019
Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning
NIPS 2019
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace
ICML 2018