Jaehoon Lee
20 papers · 2018–2026 · 6 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(17)
Deep Learning
(13)
Optimization & Theory
(13)
Artificial Intelligence
(7)
Architectures
(5)
Models
(5)
Application Areas
(4)
Computer Vision
(3)
Natural Language Processing
(3)
Core AI
(3)
Core Methods
(3)
Learning Types
(3)
Mathematics & Optimization
(2)
Analysis
(2)
Applications
(2)
Keywords
bayesian inference
(4)
gaussian process
(3)
infinite-width limit
(3)
neural tangent kernel
(3)
gradient norm
(2)
gradient descent
(2)
large language model
(2)
dataset distillation
(2)
convolutional neural network
(2)
kernel methods
(2)
neural network gaussian process
(2)
neural network
(2)
computational efficiency
(1)
dense retrieval
(1)
embedding learning
(1)
neural network optimization
(1)
privacy preservation
(1)
model calibration
(1)
double descent
(1)
3d vision
(1)
Papers
A Debiased Reconstruction-based Framework for Training-Free Detection of AI-Generated Images
CVPR 2026
HeSS: Head Sensitivity Score for Sparsity Redistribution in VGGT
CVPR 2026
ReFEree: Reference-Free and Fine-Grained Method for Evaluating Factual Consistency in Real-World Code Summarization
ACL 2026
DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph
ACL 2025
Scaling LLM Test-Time Compute Optimally Can be More Effective than Scaling Parameters for Reasoning
ICLR 2025
When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR
ACL 2025
Scaling Exponents Across Parameterizations and Optimizers
ICML 2024
Small-scale proxies for large-scale Transformer training instabilities
ICLR 2024
Fast Neural Kernel Embeddings for General Activations
NeurIPS 2022
LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations
ICLR 2022
Dataset Distillation with Infinitely Wide Convolutional Networks
NeurIPS 2021
Dataset Meta-Learning from Kernel Ridge-Regression
ICLR 2021
Exploring the Uncertainty Properties of Neural Networksβ Implicit Priors in the Infinite-Width Limit
ICLR 2021
Invertible Tabular GANs: Killing Two Birds with One Stone for Tabular Data Synthesis
NeurIPS 2021
Finite Versus Infinite Neural Networks: an Empirical Study
NeurIPS 2020
Neural Tangents: Fast and Easy Infinite Neural Networks in Python
ICLR 2020
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes
ICLR 2019
Measuring the Effects of Data Parallelism on Neural Network Training
JMLR 2019
Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent
NeurIPS 2019
Deep Neural Networks as Gaussian Processes
ICLR 2018