Kangil Kim

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 29

Top Topics

Feature Dimension

Long Short Term Memory

Grammar Induction

Top Venues

Expert Syst. Appl.

Comput. Speech Lang.

Publications

Hoyong Kim, Semi Lee, Kangil Kim
Asymptotic Midpoint Mixup for Margin Balancing and Moderate Broadening. CoRR (2024)
Jinwook Park, Kangil Kim
Structural Optimization Ambiguity and Simplicity Bias in Unsupervised Neural Grammar Induction. CoRR (2024)
Hoyong Kim, Kangil Kim
Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation. ICLR (2024)
Ilmin Kang, HyounYoung Bae, Kangil Kim
Label-Focused Inductive Bias over Latent Object Features in Visual Classification. ICLR (2024)
Jinwook Park, Kangil Kim
Structural Optimization Ambiguity and Simplicity Bias in Unsupervised Neural Grammar Induction. ACL (Findings) (2024)
Hee-Jun Jung, Jaehyoung Jeong, Kangil Kim
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder. CoRR (2024)
Hoyong Kim, Minchan Kwon, Kangil Kim
Revisiting Softmax Masking for Stability in Continual Learning. CoRR (2023)
Minchan Kwon, Kangil Kim
Enhancing Accuracy and Robustness through Adversarial Training in Class Incremental Continual Learning. CoRR (2023)
Sangmin Woo, Junhyug Noh, Kangil Kim
Tackling the Challenges in Scene Graph Generation With Local-to-Global Interactions. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Hee-Jun Jung, Doyeon Kim, Seung-Hoon Na, Kangil Kim
Feature structure distillation with Centered Kernel Alignment in BERT transferring. Expert Syst. Appl. 234 (2023)
Hee-Jun Jung, Doyeon Kim, Seung-Hoon Na, Kangil Kim
Feature Structure Distillation for BERT Transferring. CoRR (2022)
Hoyong Kim, Kangil Kim
Spherization Layer: Representation Using Only Angles. NeurIPS (2022)
Sangmin Woo, Junhyug Noh, Kangil Kim
Tackling the Challenges in Scene Graph Generation with Local-to-Global Interactions. CoRR (2021)
Edwin Valarezo Añazco, Seung Ju Han, Kangil Kim, Patricio Rivera Lopez, Tae-Seong Kim, Sangmin Lee
Hand Gesture Recognition Using Single Patchable Six-Axis Inertial Measurement Unit via Recurrent Neural Networks. Sensors 21 (4) (2021)
Sangmin Woo, Junhyug Noh, Kangil Kim
What and When to Look?: Temporal Span Proposal Network for Video Visual Relation Detection. CoRR (2021)
HeeSeung Jung, Kangil Kim, Hoyong Kim, Jong-Hun Shin
Learning from Matured Dumb Teacher for Fine Generalization. CoRR (2021)
Ohyung Kwon, Hyung-Giun Kim, Min Ji Ham, Wonrae Kim, Gun-Hee Kim, Jae-Hyung Cho, Nam-Il Kim, Kangil Kim
A deep neural network for classification of melt-pool images in metal additive manufacturing. J. Intell. Manuf. 31 (2) (2020)
Ohyung Kwon, Hyung-Giun Kim, Wonrae Kim, Gun-Hee Kim, Kangil Kim
A Convolutional Neural Network for Prediction of Laser Power Using Melt-Pool Images in Laser Powder Bed Fusion. IEEE Access 8 (2020)
Ohyung Kwon, Nayeon Lee, Kangil Kim
Effect of pre-training to build a regression model using shallow neural network for semiconductor plasma etch process equipment. IEEE BigData (2020)
Seung-Hoon Na, Jianri Li, Jong-hoon Shin, Kangil Kim
Transition-Based Korean Dependency Parsing Using Hybrid Word Representations of Syllables and Morphemes with LSTMs. ACM Trans. Asian Low Resour. Lang. Inf. Process. 18 (2) (2019)
Seung-Hoon Na, Hyun Kim, Jinwoo Min, Kangil Kim
Improving LSTM CRFs using character-based compositions for Korean named entity recognition. Comput. Speech Lang. 54 (2019)
Kangil Kim, Dong-Kyun Kim, Junhyug Noh, Minhyeok Kim
Stable Forecasting of Environmental Time Series via Long Short Term Memory Recurrent Neural Network. IEEE Access 6 (2018)
Seung-Hoon Na, Kangil Kim
Verbosity normalized pseudo-relevance feedback in information retrieval. Inf. Process. Manag. 54 (2) (2018)
Kangil Kim, Junhyug Noh, Dong-Kyun Kim, Minhyeok Kim
Conflict Relaxation of Activation-Based Regularization for Neural Network. IEEE Access 6 (2018)
Kangil Kim, Yun Jin, Seung-Hoon Na, Young-Kil Kim
Center-shared sliding ensemble of neural networks for syntax analysis of natural language. Expert Syst. Appl. 83 (2017)
Kangil Kim
Time-Sensitive Adaptation of Regularization Strength of Recurrent Neural Networks for Accurate Learning. ICMLA (2017)
Kangil Kim, Jong-Hun Shin, Seung-Hoon Na, Sangkeun Jung
Concept Equalization to Guide Correct Training of Neural Machine Translation. IJCNLP(2) (2017)
Kangil Kim, Eun-Jin Park, Jong-Hun Shin, Oh-Woog Kwon, Young Kil Kim
Divergence-based fine pruning of phrase-based statistical translation model. Comput. Speech Lang. 41 (2017)
Kangil Kim, Robert I. McKay, Nguyen Xuan Hoai
Recursion-Based Biases in Stochastic Grammar Model Genetic Programming. IEEE Trans. Evol. Comput. 20 (1) (2016)
Kangil Kim, Yin Shan, Xuan Hoai Nguyen, Robert I. McKay
Probabilistic model building in genetic programming: a critical review. Genet. Program. Evolvable Mach. 15 (2) (2014)
Kangil Kim, Robert I. McKay
Stochastic Diversity Loss and Scalability in Estimation of Distribution Genetic Programming. IEEE Trans. Evol. Comput. 17 (3) (2013)
Namyong Park, Kangil Kim, Robert I. McKay
Cutting evaluation costs: An investigation into early termination in genetic programming. IEEE Congress on Evolutionary Computation (2013)
Yun-Geun Lee, Bob McKay, Kangil Kim, Dong-Kyun Kim, Nguyen Xuan Hoai
Erratum to 'Investigating vesicular selection: A selection operator in in-vitro evolution' [Applied Soft Computing 11/8 (2012) [5528-5550]. Appl. Soft Comput. 12 (9) (2012)
Kangil Kim, Nguyen Xuan Hoai, Bob McKay
Implicit bias and recursive grammar structures in estimation of distribution genetic programming. IEEE Congress on Evolutionary Computation (2012)
Minhyeok Kim, Bob McKay, Kangil Kim, Xuan Hoai Nguyen
Analysing the Effects of Diverse Operators in a Genetic Programming System. PPSN (1) (2012)
Yun-Geun Lee, Bob McKay, Kangil Kim, Dong-Kyun Kim, Nguyen Xuan Hoai
Investigating vesicular selection: A selection operator in in vitro evolution. Appl. Soft Comput. 11 (8) (2011)
Minhyeok Kim, Robert Ian (Bob) McKay, Nguyen Xuan Hoai, Kangil Kim
Operator Self-adaptation in Genetic Programming. EuroGP (2011)
Kangil Kim, Minhyeok Kim, Bob McKay
Structural difficulty in estimation of distribution genetic programming. GECCO (2011)
Kangil Kim, Robert Ian (Bob) McKay, Dharani Punithan
Sampling Bias in Estimation of Distribution Algorithms for Genetic Programming Using Prototype Trees. PRICAI (2010)
Dharani Punithan, Jerome Marhic, Kangil Kim, Jakramate Bootkrajang, Robert Ian (Bob) McKay, Naoki Mori
An XML Format for Sharing Evolutionary Algorithm Output and Analysis. SEAL (2010)