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Kangil Kim
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2020 – today
- 2024
- [c14]Jinwook Park, Kangil Kim:
Structural Optimization Ambiguity and Simplicity Bias in Unsupervised Neural Grammar Induction. ACL (Findings) 2024: 15124-15139 - [c13]Ilmin Kang, HyounYoung Bae, Kangil Kim:
Label-Focused Inductive Bias over Latent Object Features in Visual Classification. ICLR 2024 - [c12]Hoyong Kim, Kangil Kim:
Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation. ICLR 2024 - [i9]Hee-Jun Jung, Jaehyoung Jeong, Kangil Kim:
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder. CoRR abs/2401.08897 (2024) - [i8]Hoyong Kim, Semi Lee, Kangil Kim:
Asymptotic Midpoint Mixup for Margin Balancing and Moderate Broadening. CoRR abs/2401.14696 (2024) - [i7]Jinwook Park, Kangil Kim:
Structural Optimization Ambiguity and Simplicity Bias in Unsupervised Neural Grammar Induction. CoRR abs/2407.16181 (2024) - 2023
- [j17]Hee-Jun Jung
, Doyeon Kim
Feature structure distillation with Centered Kernel Alignment in BERT transferring. Expert Syst. Appl. 234: 120980 (2023) - [j16]Sangmin Woo
Tackling the Challenges in Scene Graph Generation With Local-to-Global Interactions. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9713-9726 (2023) - [i6]Minchan Kwon, Kangil Kim:
Enhancing Accuracy and Robustness through Adversarial Training in Class Incremental Continual Learning. CoRR abs/2305.13678 (2023) - [i5]Hoyong Kim, Minchan Kwon, Kangil Kim:
Revisiting Softmax Masking for Stability in Continual Learning. CoRR abs/2309.14808 (2023) - 2022
- [c11]Hoyong Kim, Kangil Kim:
Spherization Layer: Representation Using Only Angles. NeurIPS 2022 - [i4]Hee-Jun Jung
Feature Structure Distillation for BERT Transferring. CoRR abs/2204.08922 (2022) - 2021
- [j15]Edwin Valarezo Añazco
Hand Gesture Recognition Using Single Patchable Six-Axis Inertial Measurement Unit via Recurrent Neural Networks. Sensors 21(4): 1404 (2021) - [i3]Sangmin Woo, Junhyug Noh, Kangil Kim:
Tackling the Challenges in Scene Graph Generation with Local-to-Global Interactions. CoRR abs/2106.08543 (2021) - [i2]Sangmin Woo, Junhyug Noh, Kangil Kim:
What and When to Look?: Temporal Span Proposal Network for Video Visual Relation Detection. CoRR abs/2107.07154 (2021) - [i1]HeeSeung Jung, Kangil Kim, Hoyong Kim, Jong-Hun Shin:
Learning from Matured Dumb Teacher for Fine Generalization. CoRR abs/2108.05776 (2021) - 2020
- [j14]Ohyung Kwon
A Convolutional Neural Network for Prediction of Laser Power Using Melt-Pool Images in Laser Powder Bed Fusion. IEEE Access 8: 23255-23263 (2020) - [j13]Ohyung Kwon
A deep neural network for classification of melt-pool images in metal additive manufacturing. J. Intell. Manuf. 31(2): 375-386 (2020) - [c10]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: 2903-2906
2010 – 2019
- 2019
- [j12]Seung-Hoon Na
Improving LSTM CRFs using character-based compositions for Korean named entity recognition. Comput. Speech Lang. 54: 106-121 (2019) - [j11]Seung-Hoon Na
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): 14:1-14:20 (2019) - 2018
- [j10]Kangil Kim
Conflict Relaxation of Activation-Based Regularization for Neural Network. IEEE Access 6: 52510-52518 (2018) - [j9]Kangil Kim
Stable Forecasting of Environmental Time Series via Long Short Term Memory Recurrent Neural Network. IEEE Access 6: 75216-75228 (2018) - [j8]Seung-Hoon Na
Verbosity normalized pseudo-relevance feedback in information retrieval. Inf. Process. Manag. 54(2): 219-239 (2018) - 2017
- [j7]Kangil Kim, Eun-Jin Park, Jong-Hun Shin
Divergence-based fine pruning of phrase-based statistical translation model. Comput. Speech Lang. 41: 146-160 (2017) - [j6]Kangil Kim, Yun Jin, Seung-Hoon Na
Center-shared sliding ensemble of neural networks for syntax analysis of natural language. Expert Syst. Appl. 83: 215-225 (2017) - [c9]Kangil Kim:
Time-Sensitive Adaptation of Regularization Strength of Recurrent Neural Networks for Accurate Learning. ICMLA 2017: 194-198 - [c8]Kangil Kim, Jong-Hun Shin, Seung-Hoon Na, Sangkeun Jung:
Concept Equalization to Guide Correct Training of Neural Machine Translation. IJCNLP(2) 2017: 302-307 - 2016
- [j5]Kangil Kim, Robert I. McKay, Nguyen Xuan Hoai:
Recursion-Based Biases in Stochastic Grammar Model Genetic Programming. IEEE Trans. Evol. Comput. 20(1): 81-95 (2016) - 2014
- [j4]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): 115-167 (2014) - 2013
- [j3]Kangil Kim, Robert I. McKay
Stochastic Diversity Loss and Scalability in Estimation of Distribution Genetic Programming. IEEE Trans. Evol. Comput. 17(3): 301-320 (2013) - [c7]Namyong Park, Kangil Kim, Robert I. McKay:
Cutting evaluation costs: An investigation into early termination in genetic programming. IEEE Congress on Evolutionary Computation 2013: 3291-3298 - 2012
- [j2]Yun-Geun Lee, Bob McKay
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): 3112-3113 (2012) - [c6]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: 1-8 - [c5]Minhyeok Kim, Bob McKay
Analysing the Effects of Diverse Operators in a Genetic Programming System. PPSN (1) 2012: 387-396 - 2011
- [j1]Yun-Geun Lee, Bob McKay
Investigating vesicular selection: A selection operator in in vitro evolution. Appl. Soft Comput. 11(8): 5528-5550 (2011) - [c4]Minhyeok Kim, Robert Ian (Bob) McKay
Operator Self-adaptation in Genetic Programming. EuroGP 2011: 215-226 - [c3]Kangil Kim, Minhyeok Kim, Bob McKay
Structural difficulty in estimation of distribution genetic programming. GECCO 2011: 1459-1466 - 2010
- [c2]Kangil Kim, Robert Ian (Bob) McKay
Sampling Bias in Estimation of Distribution Algorithms for Genetic Programming Using Prototype Trees. PRICAI 2010: 100-111 - [c1]Dharani Punithan, Jerome Marhic, Kangil Kim, Jakramate Bootkrajang
An XML Format for Sharing Evolutionary Algorithm Output and Analysis. SEAL 2010: 384-388
Coauthor Index
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