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2020 – today
- 2024
[c7]Weiyang Liu, Zeju Qiu, Yao Feng, Yuliang Xiu, Yuxuan Xue, Longhui Yu, Haiwen Feng, Zhen Liu, Juyeon Heo, Songyou Peng, Yandong Wen, Michael J. Black, Adrian Weller, Bernhard Schölkopf:
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization. ICLR 2024- [i11]Naveen Raman, Mateo Espinosa Zarlenga, Juyeon Heo, Mateja Jamnik:
Do Concept Bottleneck Models Obey Locality? CoRR abs/2401.01259 (2024) - [i10]Shoaib Ahmed Siddiqui, Yanzhi Chen, Juyeon Heo, Menglin Xia, Adrian Weller:
On Evaluating LLMs' Capabilities as Functional Approximators: A Bayesian Perspective. CoRR abs/2410.04541 (2024) - [i9]Juyeon Heo, Christina Heinze-Deml, Oussama Elachqar, Shirley Ren, Udhay Nallasamy, Andy Miller, Kwan Ho Ryan Chan, Jaya Narain:
Do LLMs "know" internally when they follow instructions? CoRR abs/2410.14516 (2024) - [i8]Juyeon Heo, Miao Xiong, Christina Heinze-Deml, Jaya Narain:
Do LLMs estimate uncertainty well in instruction-following? CoRR abs/2410.14582 (2024) - 2023
- [c6]Sunghwan Joo, Seokhyeon Jeong, Juyeon Heo, Adrian Weller, Taesup Moon:
Towards More Robust Interpretation via Local Gradient Alignment. AAAI 2023: 8168-8176 - [c5]Vivek Palaniappan, Matthew Ashman, Katherine M. Collins, Juyeon Heo, Adrian Weller, Umang Bhatt:
GeValDi: Generative Validation of Discriminative Models. Tiny Papers @ ICLR 2023 - [c4]Matthew Wicker, Juyeon Heo, Luca Costabello, Adrian Weller:
Robust Explanation Constraints for Neural Networks. ICLR 2023 - [c3]Juyeon Heo, Pingfan Song, Weiyang Liu, Adrian Weller:
Physics-Based Decoding Improves Magnetic Resonance Fingerprinting. MICCAI (2) 2023: 446-456 - [c2]Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller:
Use perturbations when learning from explanations. NeurIPS 2023 - [i7]Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller:
Robust Learning from Explanations. CoRR abs/2303.06419 (2023) - [i6]Wenlin Chen, Julien Horwood, Juyeon Heo, José Miguel Hernández-Lobato:
Leveraging Task Structures for Improved Identifiability in Neural Network Representations. CoRR abs/2306.14861 (2023) - [i5]Weiyang Liu, Zeju Qiu, Yao Feng, Yuliang Xiu, Yuxuan Xue, Longhui Yu, Haiwen Feng, Zhen Liu, Juyeon Heo, Songyou Peng, Yandong Wen, Michael J. Black, Adrian Weller, Bernhard Schölkopf:
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization. CoRR abs/2311.06243 (2023) - [i4]Vihari Piratla, Juyeon Heo, Sukriti Singh, Adrian Weller:
Estimation of Concept Explanations Should be Uncertainty Aware. CoRR abs/2312.08063 (2023) - 2022
- [i3]Sunghwan Joo, Seokhyeon Jeong, Juyeon Heo, Adrian Weller, Taesup Moon:
Towards More Robust Interpretation via Local Gradient Alignment. CoRR abs/2211.15900 (2022) - [i2]Matthew Wicker, Juyeon Heo, Luca Costabello, Adrian Weller:
Robust Explanation Constraints for Neural Networks. CoRR abs/2212.08507 (2022)
2010 – 2019
- 2019
- [c1]Juyeon Heo, Sunghwan Joo, Taesup Moon:
Fooling Neural Network Interpretations via Adversarial Model Manipulation. NeurIPS 2019: 2921-2932 - [i1]Juyeon Heo, Sunghwan Joo, Taesup Moon:
Fooling Neural Network Interpretations via Adversarial Model Manipulation. CoRR abs/1902.02041 (2019)
Coauthor Index
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