Taehyeon Kim

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 48

Top Topics

Image Classification

Tensor Decomposition

Convolutional Neural Networks

Human Interaction

Top Venues

Publications

Yongjin Yang, Taehyeon Kim, Se-Young Yun
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning. AAAI (2024)
Marc Bartholet, Taehyeon Kim, Ami Beuret, Se-Young Yun, Joachim M. Buhmann
Non-linear Fusion in Federated Learning: A Hypernetwork Approach to Federated Domain Generalization. CoRR (2024)
Taehyeon Kim, Byung-Cheol Min
Semantic Layering in Room Segmentation via LLMs. CoRR (2024)
Namgyu Ho, Sangmin Bae, Taehyeon Kim, Hyunjik Jo, Yireun Kim, Tal Schuster, Adam Fisch, James Thorne, Se-Young Yun
Block Transformer: Global-to-Local Language Modeling for Fast Inference. CoRR (2024)
Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun
Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions. ICLR (2024)
Taehyeon Kim, Ananda Theertha Suresh, Kishore Papineni, Michael Riley, Sanjiv Kumar, Adrian Benton
Towards Fast Inference: Exploring and Improving Blockwise Parallel Drafts. CoRR (2024)
Taehyeon Kim, Donghyeon Lee, Man-Je Kim, Chang Wook Ahn
Polyphonic Piano Music Transcription System Exploiting Mutual Correlations of Different Musical Note States. IEEE Access 12 (2024)
Euiin Yi, Taehyeon Kim, Hongseok Jeung, Du-Seong Chang, Se-Young Yun
Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters. CoRR (2024)
Taehyeon Kim, Donggyu Kim, Se-Young Yun
Revisiting Early-Learning Regularization When Federated Learning Meets Noisy Labels. CoRR (2024)
Taehyeon Kim, Seho Park, Myeongseop Kim
WiFi's Unspoken Tales: Deep Neural Network Decodes Human Behavior from Channel State Information. BDCAT (2023)
Taehyeon Kim, Eric Lin, Junu Lee, Christian Lau, Vaikkunth Mugunthan
Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Approach for Object Detection. NeurIPS (2023)
Taehyeon Kim, Seho Park, Kyung-Taek Lee
Depth-Aware Feature Pyramid Network for Semantic Segmentation. ICUFN (2023)
Taehyeon Kim, Seho Park, Kyungtaek Lee
CLIMB: Computational Lane Identification using Multi-Objective Bayesian Optimization. ICTC (2023)
Taehyeon Kim, Youjeong Na, Seho Park
Multi-Head Convolutional Neural Network Compression based on High-Order Principal Component Analysis. ICEIC (2023)
Myeongseop Kim, Taehyeon Kim, Kyung-Taek Lee
Digital Human Interaction Based on Mono Camera for Digital Twin. ICTC (2023)
Myeongseop Kim, Taehyeon Kim
Bridging Real and Virtual: Human Digital Twin Strategies for Workspaces. BDCAT (2023)
Taehyeon Kim, Eric Lin, Junu Lee, Christian Lau, Vaikkunth Mugunthan
Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Approach for Object Detection. CoRR (2023)
Taehyeon Kim, Seho Park, KyungTaek Lee, Myeongseop Kim
Deep Lane Detection Based on Kullback-Leibler Divergence. ISCIT (2023)
Gyeongmin Kim, Taehyeon Kim, Shyam Sundar Kannan, Vishnunandan L. N. Venkatesh, Donghan Kim, Byung-Cheol Min
DynaCon: Dynamic Robot Planner with Contextual Awareness via LLMs. CoRR (2023)
Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun
Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions. CoRR (2023)
Myeongseop Kim, Kyung-Taek Lee, Seho Park, Taehyeon Kim
Efficient Human Computer Interaction Pipeline for Mobile Devices. ISCIT (2023)
Yongjin Yang, Taehyeon Kim, Se-Young Yun
Leveraging Normalization Layer in Adapters With Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning. CoRR (2023)
Stephen Cha, Taehyeon Kim, Hayeon Lee, Se-Young Yun
SuperNet in Neural Architecture Search: A Taxonomic Survey. CoRR (2022)
Taehyeon Kim, Myunghyun Kim, Sungwoo Yang, Donghan Kim
Navigation Path Based Universal Mobile Manipulator Integrated Controller (NUMMIC). Sensors 22 (19) (2022)
Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun
Region-Conditioned Orthogonal 3D U-Net for Weather4Cast Competition. CoRR (2022)
Taehyeon Kim, Namgyu Ho, Donggyu Kim, Se-Young Yun
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction. CoRR (2022)
Taehyeon Kim, Heungjun Choi, Yoonsik Choe
Automated Filter Pruning Based on High-Dimensional Bayesian Optimization. IEEE Access 10 (2022)
Taehyeon Kim, Heungjun Choi, Yoonsik Choe
Efficient Perceptual Loss based on Low-rank Tucker Decomposition. ICEIC (2022)
Taehyeon Kim, Se-Young Yun
Revisiting Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification. IEEE Access 10 (2022)
Taehyeon Kim, Minwoo Kang, Sumin Kang, Donghan Kim
Improvement of Door Recognition Algorithm using Lidar and RGB-D camera for Mobile Manipulator. SAS (2022)
Taehyeon Kim, Se-Young Yun
Supernet Training for Federated Image Classification under System Heterogeneity. CoRR (2022)
Taehyeon Kim, Heesoo Myeong, Se-Young Yun
Revisiting Architecture-aware Knowledge Distillation: Smaller Models and Faster Search. CoRR (2022)
Taehyeon Kim, Sang-Ho Lee, Jong-Ok Kim
A Novel Shape Based Plant Growth Prediction Algorithm Using Deep Learning and Spatial Transformation. IEEE Access 10 (2022)
Jaeyeon Ahn, Taehyeon Kim, Seyoung Yun
Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces. CoRR (2022)
Taehyeon Kim, Jaehoon Oh, Nakyil Kim, Sangwook Cho, Se-Young Yun
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation. IJCAI (2021)
Taehyeon Kim, Jongwoo Ko, Jinhwan Choi, Sangwook Cho, Se-Young Yun
Winning Ticket in Noisy Image Classification. CoRR (2021)
Dong-Gi Song, Sungho Choi, Taehyeon Kim, Kyung Young Jhang
Compensation of a Second Harmonic Wave Included in an Incident Ultrasonic Wave for the Precise Measurement of the Acoustic Nonlinearity Parameter. Sensors 21 (9) (2021)
Sangheum Lee, Taehyeon Kim, Myunghyun Kim, Donghan Kim
Simultaneous control algorithm for mobile manipulator using MMPPE. ICEIC (2021)
Aleksandra Gruca, Federico Serva, Llorenç Lliso, Pilar Rípodas, Xavier Calbet, Pedro Herruzo, Jirí Pihrt, Rudolf Raevskiy, Petr Simánek, Matej Choma, Yang Li, Haiyu Dong, Yury Belousov, Sergey Polezhaev, Brian Pulfer, Minseok Seo, Doyi Kim, Seungheon Shin, Eunbin Kim, Sewoong Ahn, Yeji Choi, Jinyoung Park, Minseok Son, Seungju Cho, Inyoung Lee, Changick Kim, Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun, Bertrand Le Saux, Michael K Kopp, Sepp Hochreiter, David P. Kreil
Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts. NeurIPS (Competition and Demos) (2021)
Taehyeon Kim, Jaehoon Oh, Nakyil Kim, Sangwook Cho, Se-Young Yun
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation. CoRR (2021)
Taehyeon Kim, Yoonsik Choe
Fast Circulant Tensor Power Method for High-Order Principal Component Analysis. IEEE Access 9 (2021)
Taehyeon Kim, Jongwoo Ko, Sangwook Cho, Jinhwan Choi, Se-Young Yun
FINE Samples for Learning with Noisy Labels. NeurIPS (2021)
Taehyeon Kim, Jieun Lee, Yoonsik Choe
Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks. IEEE Access 8 (2020)
Taehyeon Kim, Jaeyeon Ahn, Nakyil Kim, Seyoung Yun
Adaptive Local Bayesian Optimization Over Multiple Discrete Variables. CoRR (2020)
Taehyeon Kim, Sangmin Bae, Jin-Woo Lee, Seyoung Yun
Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits. CoRR (2020)
Taehyeon Kim, Jonghyup Kim, Seyoung Yun
Efficient Model for Image Classification With Regularization Tricks. NeurIPS (Competition and Demos) (2019)
Taehyeon Kim, Jieun Lee, Yoonsik Choe
Tensor Train Decomposition for Efficient Memory Saving in Perceptual Feature-Maps. ICCV Workshops (2019)
Taehyeon Kim, Yoonsik Choe
Real-time Background Subtraction via L1 Norm Tensor Decomposition. APSIPA (2018)