Intelligence Representation & Reasoning Lab
Gwangju Institute of Science and Technology (GIST)
How to build a single accumulative intelligence
for more general and wider problems?
modified at Jun 23, 2021
Join Us!
We are always looking for strongly self-motivated students for Ph.D., and Postdoctoral Program, who want to dive into research for deep and fundamental understanding of AI. If you want to join in, please send an email (kangil dot kim dot 01 at gmail.com).
(Intership for GIST students) please watch this video for internship, and send me an email.
News
25.05.16: Congratulation! accepted ACL 2025 "RSCF: Relation-Semantics Consistent Filter for Entity Embedding of Knowledge Graph"
25.01.16: Sungmin Moon, Junbo Kwon, Jongmin park, Minwoo Kang joined our lab.
24.11.06: Congratulation! accepted paper by TMLR, "CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder"
24.05.16: Congratulation! accepted ACL Findings 2024 "Structural Optimization Ambiguity and Simplicity Bias in Unsupervised Neural Grammar Induction"
25.01.16: Sungmin Moon, Junbo Kwon, Jongmin park, Minwoo Kang joined our lab.
24.11.06: Congratulation! accepted paper by TMLR, "CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder"
24.05.16: Congratulation! accepted ACL Findings 2024 "Structural Optimization Ambiguity and Simplicity Bias in Unsupervised Neural Grammar Induction"
Show more past news
24.01.20: ICLR 2024, "Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation"
24.01.20: ICLR 2024, "Output-Domain Focused Inductive Bias on Latent Feature Clusters in Visual Classification."
23.07.10: ESWA, "Feature Structure Distillation with Centered Kernel Alignment in BERT Transferring"
22.09.15: NeuRIPS2022, "Spherization Layer: Representation Using Only Angles" from NeurIPS 2022.
22.03.12: IEEE TNNLS, "Tackling the Challenges in Scene Graph Generation with Local-to-Global Interactions"
22.03.04: NRF Grant: "Development of AI for Canonicalized Expression of Trained Hypotheses by Resolving Ambiguity in Various Relation Levels of Representation Learning
24.01.20: ICLR 2024, "Output-Domain Focused Inductive Bias on Latent Feature Clusters in Visual Classification."
23.07.10: ESWA, "Feature Structure Distillation with Centered Kernel Alignment in BERT Transferring"
22.09.15: NeuRIPS2022, "Spherization Layer: Representation Using Only Angles" from NeurIPS 2022.
22.03.12: IEEE TNNLS, "Tackling the Challenges in Scene Graph Generation with Local-to-Global Interactions"
22.03.04: NRF Grant: "Development of AI for Canonicalized Expression of Trained Hypotheses by Resolving Ambiguity in Various Relation Levels of Representation Learning
Recent publications
TMLR, "CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder"
November 06, 2024
Symmetries of input and latent vectors have provided valuable insights for disentanglement learning in VAEs. However, only a few works...
ACL 2024 Findings, "Structural Optimization Ambiguity and Simplicity Bias in Unsupervised Neural Grammar Induction"
August 11, 2024
Video will be uploaded after conference! Summary & Contribution We reveal two problem “Structural Optimization Ambiguity” and “Structural Simplicity Bias”...
ICLR 2024, "Label-Focused Inductive Bias over Latent Object Features in Visual Classification"
January 20, 2024
No contents
ICLR 2024, "Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation"
January 20, 2024
FNO classifier makes the LPM achieve the global optimality even in inducing the max-margin decision while satisfying the properties of...