Y
Yoonho Lee
Publications - 29
Citations - 1352
Yoonho Lee is an academic researcher. The author has contributed to research in topics: Computer science & Artificial neural network. The author has an hindex of 7, co-authored 19 publications receiving 701 citations.
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Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
TL;DR: This work presents an attention-based neural network module, the Set Transformer, specifically designed to model interactions among elements in the input set, and reduces the computation time of self-attention from quadratic to linear in the number of Elements in the set.
Proceedings Article
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace
Yoonho Lee,Seungjin Choi +1 more
TL;DR: In this article, a task-specific learner of an EMMT-net performs gradient descent with respect to a meta-learned distance metric, which warps the activation space to be more sensitive to task identity.
Proceedings Article
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
TL;DR: The Set Transformer as discussed by the authors is an attention-based neural network module, specifically designed to model interactions among elements in the input set, consisting of an encoder and a decoder, both of which rely on attention mechanisms.
Journal ArticleDOI
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
TL;DR: In this article , Mitchell et al. demonstrate that text sampled from an LLM tends to occupy negative curvature regions of the model's log probability function and define a new curvature-based criterion for judging if a passage is generated from a given LLM.
Posted Content
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace.
Yoonho Lee,Seungjin Choi +1 more
TL;DR: In this paper, a task-specific learner of an EMMT-net performs gradient descent with respect to a meta-learned distance metric, which warps the activation space to be more sensitive to task identity.