CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances J Tack*, S Mo*, J Jeong, J Shin NeurIPS, 2020 | 686 | 2020 |
Adversarial Self-Supervised Contrastive Learning M Kim, J Tack, SJ Hwang NeurIPS, 2020 | 294 | 2020 |
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks S Yu*, J Tack*, S Mo*, H Kim, J Kim, JW Ha, J Shin ICLR, 2022 | 217 | 2022 |
Consistency Regularization for Adversarial Robustness J Tack, S Yu, J Jeong, M Kim, SJ Hwang, J Shin AAAI, 2022 | 66 | 2022 |
Meta-Learning Sparse Implicit Neural Representations J Lee*, J Tack*, N Lee, J Shin NeurIPS, 2021 | 40 | 2021 |
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables J Nam, J Tack, K Lee, H Lee, J Shin ICLR, 2023 | 30 | 2023 |
Modality-Agnostic Variational Compression of Implicit Neural Representations JR Schwarz*, J Tack*, YW Teh, J Lee, J Shin ICML, 2023 | 20 | 2023 |
K-centered Patch Sampling for Efficient Video Recognition SH Park, J Tack, B Heo, JW Ha, J Shin ECCV, 2022 | 18 | 2022 |
Online adaptation of language models with a memory of amortized contexts J Tack, J Kim, E Mitchell, J Shin, YW Teh, JR Schwarz NeurIPS, 2024 | 14 | 2024 |
Rethinking the Entropy of Instance in Adversarial Training M Kim, J Tack, J Shin, SJ Hwang IEEE SaTML, 2023 | 12* | 2023 |
Tabular Transfer Learning via Prompting LLMs J Nam, W Song, SH Park, J Tack, S Yun, J Kim, KH Oh, J Shin COLM, 2024 | 10* | 2024 |
Meta-Learning with Self-Improving Momentum Target J Tack, J Park, H Lee, J Lee, J Shin NeurIPS, 2022 | 9 | 2022 |
Learning Large-scale Neural Fields via Context Pruned Meta-Learning J Tack, S Kim, S Yu, J Lee, J Shin, JR Schwarz NeurIPS, 2023 | 8* | 2023 |
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning J Nam, K Kim, S Oh, J Tack, J Kim, J Shin NeurIPS, 2024 | 4 | 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 ICML, 2024 | 2 | 2024 |
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder H Jang*, J Tack*, D Choi, J Jeong, J Shin NeurIPS, 2023 | 1 | 2023 |
Sparsified State-Space Models are Efficient Highway Networks W Song, J Tack, S Mo, S Oh, J Shin NeurIPS Workshop on Efficient Natural Language and Speech Processing, 2024 | | 2024 |
ReMoDetect: Reward Models Recognize Aligned LLM's Generations H Lee*, J Tack*, J Shin NeurIPS, 2024 | | 2024 |