James Diffenderfer
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
8
Active years
2021–2025
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination via Latent Truthful-Guided Pre-Intervention. | Jinhao Duan, Fei Kong, Hao Cheng, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu |
| 2024 | EMNLP | SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning. | Jinghan Jia, Yihua Zhang, Yimeng Zhang, Jiancheng Liu, Bharat Runwal, James Diffenderfer, Bhavya Kailkhura, Sijia Liu |
| 2024 | ICLR | DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training. | Aochuan Chen, Yimeng Zhang, Jinghan Jia, James Diffenderfer, Konstantinos Parasyris, Jiancheng Liu, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu |
| 2024 | ICML | Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies. | Brian R. Bartoldson, James Diffenderfer, Konstantinos Parasyris, Bhavya Kailkhura |
| 2024 | ICML | Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. | Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Kumar Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li |
| 2024 | NAACL | ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models. | Jinhao Duan, Shiqi Wang, James Diffenderfer, Lichao Sun, Tianlong Chen, Bhavya Kailkhura, Kaidi Xu |
| 2022 | DATE | Unsupervised Test-Time Adaptation of Deep Neural Networks at the Edge: A Case Study. | Kshitij Bhardwaj, James Diffenderfer, Bhavya Kailkhura, Maya B. Gokhale |
| 2022 | ISPASS | Benchmarking Test-Time Unsupervised Deep Neural Network Adaptation on Edge Devices. | Kshitij Bhardwaj, James Diffenderfer, Bhavya Kailkhura, Maya B. Gokhale |
| 2022 | SC | Approximate Computing Through the Lens of Uncertainty Quantification. | Konstantinos Parasyris, James Diffenderfer, Harshitha Menon, Ignacio Laguna, Jackson Vanover, Ryan Vogt, Daniel Osei-Kuffuor |
| 2021 | ICLR | Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network. | James Diffenderfer, Bhavya Kailkhura |
| 2021 | SC | HPAC: evaluating approximate computing techniques on HPC OpenMP applications. | Konstantinos Parasyris, Giorgis Georgakoudis, Harshitha Menon, James Diffenderfer, Ignacio Laguna, Daniel Osei-Kuffuor, Markus Schordan |