2025 Poster "meta-learning" Papers
12 papers found
Differentially Private Bilevel Optimization: Efficient Algorithms with Near-Optimal Rates
Andrew Lowy, Daogao Liu
NeurIPS 2025posterarXiv:2506.12994
1
citations
End-to-End Implicit Neural Representations for Classification
Alexander Gielisse, Jan van Gemert
CVPR 2025posterarXiv:2503.18123
3
citations
Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes
Hossein Zakerinia, Christoph Lampert
NeurIPS 2025posterarXiv:2505.15496
1
citations
Few-Shot Image Quality Assessment via Adaptation of Vision-Language Models
Xudong Li, Zihao Huang, Yan Zhang et al.
ICCV 2025posterarXiv:2409.05381
2
citations
LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning
Minyoung Kim, Timothy Hospedales
ICLR 2025poster
1
citations
MetaBox-v2: A Unified Benchmark Platform for Meta-Black-Box Optimization
Zeyuan Ma, Yue-Jiao Gong, Hongshu Guo et al.
NeurIPS 2025posterarXiv:2505.17745
5
citations
Meta-Dynamical State Space Models for Integrative Neural Data Analysis
Ayesha Vermani, Josue Nassar, Hyungju Jeon et al.
ICLR 2025posterarXiv:2410.05454
MetaOOD: Automatic Selection of OOD Detection Models
Yuehan Qin, Yichi Zhang, Yi Nian et al.
ICLR 2025posterarXiv:2410.03074
16
citations
PersonalLLM: Tailoring LLMs to Individual Preferences
Thomas Zollo, Andrew Siah, Naimeng Ye et al.
ICLR 2025posterarXiv:2409.20296
27
citations
PIED: Physics-Informed Experimental Design for Inverse Problems
Apivich Hemachandra, Gregory Kang Ruey Lau, See-Kiong Ng et al.
ICLR 2025posterarXiv:2503.07070
1
citations
Provable Meta-Learning with Low-Rank Adaptations
Jacob Block, Sundararajan Srinivasan, Liam Collins et al.
NeurIPS 2025posterarXiv:2410.22264
Why In-Context Learning Models are Good Few-Shot Learners?
Shiguang Wu, Yaqing Wang, Quanming Yao
ICLR 2025poster