TMLR Young Scientist Seminar
The TMLR Young Scientist Seminar is an exciting initiative organized by the Trustworthy Machine Learning and Reasoning (TMLR) Group, dedicated to encouraging open discussions, critical thinking, and the exchange of diverse perspectives. This seminar series aims to invite talented young scientists to present their cutting-edge research, exchange ideas, and foster collaborations within the vibrant TMLR community.
- Contact Jianing Zhu (csjnzhu@comp.hkbu.edu.hk) for questions.
Upcoming Talks
| Date | Link | Speaker | Topic |
|---|---|---|---|
| Week of 6 Oct 2024 | - | Yibo Jiang (University of Chicago) | On the origins of linear representations in LLMs |
| Week of 6 Oct 2024 | - | Zhengyang Geng (Carnegie Mellon University) | On the Landscape of Diffusion Acceleration |
| Week of 4 Nov 2024 | - | Sizhe Chen (University of California, Berkeley) | Prompt Injection Defenses by Structured Queries and Alignment Training |
| Week of 11 Nov 2024 | - | Xiong Wei (University of Illinois Urbana-Champaign) | Building math agent with iterative multi-turn direct preference learning |
Past Talks
| Date | Link | Speaker | Topic |
|---|---|---|---|
| 22 Sep 2023 (Fri) | - | Wei Huang (RIKEN AIP) | Exploring Deep Learning Algorithms: A New Perspective through Feature Learning Theory |
| 09 Sep 2023 (Sat) | - | Junyuan Hong (University of Texas at Austin) | Backdoor Meets Data-Free Learning |
| 09 Sep 2023 (Sat) | - | Yi Zeng (Virginia Tech) | Data-centric Backdoor Attacks and Countermeasures |
| 13 Apr 2023 (Thu) | - | Jiaheng Wei (UC Santa Cruz) | Learning with Noisy Labels: Theoretical Approaches and Empirical Studies |
| 17 Mar 2023 (Fri) | - | Junchi Yu (Chinese Academy of Sciences) | Subgraph-based Trustworthy Graph Learning |
| 07 Mar 2023 (Tue) | - | Zhuoning Yuan (University of Iowa) | LibAUC: A Deep Learning Library for X-Risk Optimization |
| 24 Feb 2023 (Fri) | - | Sheng Liu (New York University) | From early-learning to memorization: robust learning via training dynamic |
| 19 Jan 2023 (Thu) | - | Haibo Yang (Ohio State University) | Towards Efficient Federated Learning: Anytime, Anywhere and with Any Data |
| 15 Dec 2022 (Thu) | - | Wenxiao Wang (University of Maryland) | Lethal Dose Conjecture: From Few-shot Learning to Potentially Near Optimal Defenses against Data Poisoning |
| 9 Sep 2022 (Fri) | - | Yaodong Yu (University of California, Berkeley) | Predicting Out-of-Distribution Error with the Projection Norm |
| 15 Aug 2022 (Mon) | - | Zhiyong Yang (University of Chinese Academy of Sciences) | AUC Optimization under Complex Environment |
| 04 Aug 2022 (Thu) | - | Weihua Hu (Stanford University) | Learning Backward Compatible Embeddings |
| 29 Jun 2022 (Wed) | - | Tianlong Chen (University of Texas at Austin) | Finding Good, Cheap, and Transferrable Sparsity: From Fundamental to Advanced Models |
