firstbacksecondback
129 Results
|
Workshop
|
SpectraFM: Tuning into Stellar Foundation Models Nolan Koblischke · Jo Bovy |
||
|
Poster
|
Fri 11:00 |
Theoretical Analysis of Weak-to-Strong Generalization Hunter Lang · David Sontag · Aravindan Vijayaraghavan |
|
|
Poster
|
Thu 16:30 |
Efficient Discrepancy Testing for Learning with Distribution Shift Gautam Chandrasekaran · Adam Klivans · Vasilis Kontonis · Konstantinos Stavropoulos · Arsen Vasilyan |
|
|
Workshop
|
PLMFit: Benchmarking Transfer Learning with Protein Language Models for Protein Engineering Thomas Bikias · Evangelos Stamkopoulos · Sai Reddy |
||
|
Workshop
|
PLMFit: Benchmarking Transfer Learning with Protein Language Models for Protein Engineering Thomas Bikias · Evangelos Stamkopoulos · Sai Reddy |
||
|
Workshop
|
Transfer Learning for Finetuning Large Language Models Tobias Strangmann · Lennart Purucker · Jörg Franke · Ivo Rapant · Fabio Ferreira · Frank Hutter |
||
|
Poster
|
Thu 16:30 |
Distributional Successor Features Enable Zero-Shot Policy Optimization Chuning Zhu · Xinqi Wang · Tyler Han · Simon Du · Abhishek Gupta |
|
|
Poster
|
Thu 16:30 |
Federated Learning over Connected Modes Dennis Grinwald · Philipp Wiesner · Shinichi Nakajima |
|
|
Poster
|
Fri 16:30 |
Understanding the Transferability of Representations via Task-Relatedness Akshay Mehra · Yunbei Zhang · Jihun Hamm |
|
|
Poster
|
Thu 16:30 |
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner Hanwen Zhong · Jiaxin Chen · Yutong Zhang · Di Huang · Yunhong Wang |
|
|
Poster
|
Thu 16:30 |
Large Scale Transfer Learning for Tabular Data via Language Modeling Josh Gardner · Juan Perdomo · Ludwig Schmidt |
|
|
Poster
|
Thu 11:00 |
Disentangling and mitigating the impact of task similarity for continual learning Naoki Hiratani |