Chen, Jiefeng

16 publications

NeurIPS 2025 MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement Jaehyun Nam, Jinsung Yoon, Jiefeng Chen, Jinwoo Shin, Sercan O Arik, Tomas Pfister

TMLR 2025 SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time Scaling Jiefeng Chen, Jie Ren, Xinyun Chen, Chengrun Yang, Ruoxi Sun, Jinsung Yoon, Sercan O Arik

TMLR 2024 ASPEST: Bridging the Gap Between Active Learning and Selective Prediction Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan O Arik, Somesh Jha, Tomas Pfister

ICML 2024 Two Heads Are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection Nils Palumbo, Yang Guo, Xi Wu, Jiefeng Chen, Yingyu Liang, Somesh Jha

ICML 2023 Concept-Based Explanations for Out-of-Distribution Detectors Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash

ICLR 2023 Is Forgetting Less a Good Inductive Bias for Forward Transfer? Jiefeng Chen, Timothy Nguyen, Dilan Gorur, Arslan Chaudhry

ICML 2023 Stratified Adversarial Robustness with Rejection Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha

ICLR 2023 The Trade-Off Between Universality and Label Efficiency of Representations from Contrastive Learning Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha

NeurIPSW 2022 Best of Both Worlds: Towards Adversarial Robustness with Transduction and Rejection Nils Palumbo, Xi Wu, Yang Guo, Jiefeng Chen, Yingyu Liang, Somesh Jha

ICMLW 2022 The Trade-Off Between Label Efficiency and Universality of Representations from Contrastive Learning Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha

ICLR 2022 Towards Evaluating the Robustness of Neural Networks Learned by Transduction Jiefeng Chen, Xi Wu, Yang Guo, Yingyu Liang, Somesh Jha

ECML-PKDD 2021 ATOM: Robustifying Out-of-Distribution Detection Using Outlier Mining Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha

NeurIPS 2021 Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-Training Ensembles Jiefeng Chen, Frederick Liu, Besim Avci, Xi Wu, Yingyu Liang, Somesh Jha

ICML 2020 Concise Explanations of Neural Networks Using Adversarial Training Prasad Chalasani, Jiefeng Chen, Amrita Roy Chowdhury, Xi Wu, Somesh Jha

NeurIPS 2019 Robust Attribution Regularization Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha

ICML 2018 Reinforcing Adversarial Robustness Using Model Confidence Induced by Adversarial Training Xi Wu, Uyeong Jang, Jiefeng Chen, Lingjiao Chen, Somesh Jha