Jihoon Tack

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 26

Top Topics

Inductive Learning

Feature Generation

Top Venues

Publications

Jaehyun Nam, Kyuyoung Kim, Seunghyuk Oh, Jihoon Tack, Jaehyung Kim, Jinwoo Shin
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning. CoRR (2024)
Jihoon Tack, Jaehyung Kim, Eric Mitchell, Jinwoo Shin, Yee Whye Teh, Jonathan Richard Schwarz
Online Adaptation of Language Models with a Memory of Amortized Contexts. CoRR (2024)
Hyunseok Lee, Jihoon Tack, Jinwoo Shin
ReMoDetect: Reward Models Recognize Aligned LLM's Generations. CoRR (2024)
Shengzhuang Chen, Jihoon Tack, Yunqiao Yang, Yee Whye Teh, Jonathan Richard Schwarz, Ying Wei
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts. CoRR (2024)
Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz
Learning Large-scale Neural Fields via Context Pruned Meta-Learning. NeurIPS (2023)
Huiwon Jang, Jihoon Tack, Daewon Choi, Jongheon Jeong, Jinwoo Shin
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder. NeurIPS (2023)
Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables. ICLR (2023)
Jonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, Jinwoo Shin
Modality-Agnostic Variational Compression of Implicit Neural Representations. CoRR (2023)
Minseon Kim, Jihoon Tack, Jinwoo Shin, Sung Ju Hwang
Rethinking the Entropy of Instance in Adversarial Training. SaTML (2023)
Huiwon Jang, Jihoon Tack, Daewon Choi, Jongheon Jeong, Jinwoo Shin
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder. CoRR (2023)
Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz
Efficient Meta-Learning via Error-based Context Pruning for Implicit Neural Representations. CoRR (2023)
Jonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, Jinwoo Shin
Modality-Agnostic Variational Compression of Implicit Neural Representations. ICML (2023)
Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables. CoRR (2023)
Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks. CoRR (2022)
Seong Hyeon Park, Jihoon Tack, Byeongho Heo, Jung-Woo Ha, Jinwoo Shin
K-centered Patch Sampling for Efficient Video Recognition. ECCV (35) (2022)
Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin
Consistency Regularization for Adversarial Robustness. AAAI (2022)
Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks. ICLR (2022)
Jihoon Tack, Jongjin Park, Hankook Lee, Jaeho Lee, Jinwoo Shin
Meta-Learning with Self-Improving Momentum Target. CoRR (2022)
Jihoon Tack, Jongjin Park, Hankook Lee, Jaeho Lee, Jinwoo Shin
Meta-Learning with Self-Improving Momentum Target. NeurIPS (2022)
Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin
Consistency Regularization for Adversarial Robustness. CoRR (2021)
Jaeho Lee, Jihoon Tack, Namhoon Lee, Jinwoo Shin
Meta-Learning Sparse Implicit Neural Representations. NeurIPS (2021)
Jaeho Lee, Jihoon Tack, Namhoon Lee, Jinwoo Shin
Meta-Learning Sparse Implicit Neural Representations. CoRR (2021)
Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances. NeurIPS (2020)
Minseon Kim, Jihoon Tack, Sung Ju Hwang
Adversarial Self-Supervised Contrastive Learning. NeurIPS (2020)
Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances. CoRR (2020)
Minseon Kim, Jihoon Tack, Sung Ju Hwang
Adversarial Self-Supervised Contrastive Learning. CoRR (2020)