Följ
Jihoon Tack
Jihoon Tack
Ph.D. student, KAIST
Verifierad e-postadress på kaist.ac.kr - Startsida
Titel
Citeras av
Citeras av
År
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
J Tack*, S Mo*, J Jeong, J Shin
Neural Information Processing Systems (NeurIPS), 2020
5772020
Adversarial Self-Supervised Contrastive Learning
M Kim, J Tack, SJ Hwang
Neural Information Processing Systems (NeurIPS), 2020
2432020
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks
S Yu*, J Tack*, S Mo*, H Kim, J Kim, JW Ha, J Shin
International Conference on Learning Representations (ICLR), 2022
1792022
Consistency Regularization for Adversarial Robustness
J Tack, S Yu, J Jeong, M Kim, SJ Hwang, J Shin
AAAI Conference on Artificial Intelligence (AAAI), 2022
462022
Meta-Learning Sparse Implicit Neural Representations
J Lee*, J Tack*, N Lee, J Shin
Neural Information Processing Systems (NeurIPS), 2021
262021
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
J Nam, J Tack, K Lee, H Lee, J Shin
International Conference on Learning Representations (ICLR), 2023
202023
Modality-Agnostic Variational Compression of Implicit Neural Representations
JR Schwarz*, J Tack*, YW Teh, J Lee, J Shin
International Conference on Machine Learning (ICML), 2023
142023
K-centered Patch Sampling for Efficient Video Recognition
SH Park, J Tack, B Heo, JW Ha, J Shin
European Conference on Computer Vision (ECCV), 2022
102022
Rethinking the Entropy of Instance in Adversarial Training
M Kim, J Tack, J Shin, SJ Hwang
IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2023
9*2023
Learning Large-scale Neural Fields via Context Pruned Meta-Learning
J Tack, S Kim, S Yu, J Lee, J Shin, JR Schwarz
Neural Information Processing Systems (NeurIPS), 2023
7*2023
Semi-supervised tabular classification via in-context learning of large language models
J Nam, W Song, SH Park, J Tack, S Yun, J Kim, J Shin
Workshop on Efficient Systems for Foundation Models@ ICML2023, 2023
62023
Meta-Learning with Self-Improving Momentum Target
J Tack, J Park, H Lee, J Lee, J Shin
Neural Information Processing Systems (NeurIPS), 2022
62022
Online adaptation of language models with a memory of amortized contexts
J Tack, J Kim, E Mitchell, J Shin, YW Teh, JR Schwarz
arXiv preprint arXiv:2403.04317, 2024
22024
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
J Nam, K Kim, S Oh, J Tack, J Kim, J Shin
arXiv preprint arXiv:2406.08527, 2024
2024
ReMoDetect: Reward Models Recognize Aligned LLM's Generations
H Lee*, J Tack*, J Shin
arXiv preprint arXiv:2405.17382, 2024
2024
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts
S Chen, J Tack, Y Yang, YW Teh, JR Schwarz, Y Wei
International Conference on Machine Learning (ICML), 2024
2024
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder
H Jang*, J Tack*, D Choi, J Jeong, J Shin
Neural Information Processing Systems (NeurIPS), 2023
2023
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–17