:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	McConnell, Louis
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2503.04570
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ProteinPNet: Prototypical Part Networks for Concept Learning in Spatial Proteomics
by: McConnell, Louis, et al.
Published: (2025)

Bayesian Active Learning in the Presence of Nuisance Parameters
by: Sloman, Sabina J., et al.
Published: (2023)

Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts
by: Najafi, Amir, et al.
Published: (2024)

Stochastic Gradients under Nuisances
by: Yu, Facheng, et al.
Published: (2025)

MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
by: Zhang, Baoquan, et al.
Published: (2023)

General-Purpose In-Context Learning by Meta-Learning Transformers
by: Kirsch, Louis, et al.
Published: (2022)

Cumulative Meta-Learning from Active Learning Queries for Robustness to Spurious Correlations
by: Chew, Kin Whye, et al.
Published: (2026)

Neuromodulated Meta-Learning
by: Wang, Jingyao, et al.
Published: (2024)

Learning to Learn with Contrastive Meta-Objective
by: Wu, Shiguang, et al.
Published: (2024)

Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics
by: McGrath, Sean, et al.
Published: (2025)

Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting
by: Dong, Zheng, et al.
Published: (2024)

Dynamic Meta-Layer Aggregation for Byzantine-Robust Federated Learning
by: Das, Reek, et al.
Published: (2026)

Data-Efficient and Robust Task Selection for Meta-Learning
by: Zhan, Donglin, et al.
Published: (2024)

Task-Distributionally Robust Data-Free Meta-Learning
by: Hu, Zixuan, et al.
Published: (2023)

Privacy Challenges in Meta-Learning: An Investigation on Model-Agnostic Meta-Learning
by: Rafiei, Mina, et al.
Published: (2024)

Late Fusion Multi-task Learning for Semiparametric Inference with Nuisance Parameters
by: Bhattacharya, Sohom, et al.
Published: (2025)

MetaCD: A Meta Learning Framework for Cognitive Diagnosis based on Continual Learning
by: Wu, Jin, et al.
Published: (2025)

A Meta-Learning Method for Estimation of Causal Excursion Effects to Assess Time-Varying Moderation
by: Shi, Jieru, et al.
Published: (2023)

Unsupervised Meta-Learning via In-Context Learning
by: Vettoruzzo, Anna, et al.
Published: (2024)

On the ERM Principle in Meta-Learning
by: Alon, Yannay, et al.
Published: (2024)

Meta-Learning with Heterogeneous Tasks
by: Si, Zhaofeng, et al.
Published: (2024)

Meta-Learning to Explore via Memory Density Feedback
by: McKee, Kevin, et al.
Published: (2025)

Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training
by: Liu, Yonghao, et al.
Published: (2024)

Binomial Gradient-Based Meta-Learning for Enhanced Meta-Gradient Estimation
by: Zhang, Yilang, et al.
Published: (2026)

MetaClaw: Just Talk -- An Agent That Meta-Learns and Evolves in the Wild
by: Xia, Peng, et al.
Published: (2026)

Metalic: Meta-Learning In-Context with Protein Language Models
by: Beck, Jacob, et al.
Published: (2024)

More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms
by: Zakerinia, Hossein, et al.
Published: (2024)

Any-Way Meta Learning
by: Lee, Junhoo, et al.
Published: (2024)

Riemannian Geometric-based Meta Learning
by: Park, JuneYoung, et al.
Published: (2025)

A Tutorial on Meta-Reinforcement Learning
by: Beck, Jacob, et al.
Published: (2023)

Meta-Learning Neural Procedural Biases
by: Raymond, Christian, et al.
Published: (2024)

Interpretable Meta-Learning of Physical Systems
by: Blanke, Matthieu, et al.
Published: (2023)

Regularized Meta-Learning for Improved Generalization
by: Mohammad, Noor Islam S., et al.
Published: (2026)

Hacking Task Confounder in Meta-Learning
by: Wang, Jingyao, et al.
Published: (2023)

Constrained Meta Agnostic Reinforcement Learning
by: Daaboul, Karam, et al.
Published: (2024)

Integrating Meta-Features with Knowledge Graph Embeddings for Meta-Learning
by: Klironomos, Antonis, et al.
Published: (2026)

Set-based Meta-Interpolation for Few-Task Meta-Learning
by: Lee, Seanie, et al.
Published: (2022)

MetaRM: Shifted Distributions Alignment via Meta-Learning
by: Dou, Shihan, et al.
Published: (2024)

Meta-Learning and Meta-Reinforcement Learning -- Tracing the Path towards DeepMind's Adaptive Agent
by: Hoppmann, Björn, et al.
Published: (2026)

Nuisance Function Tuning and Sample Splitting for Optimally Estimating a Doubly Robust Functional
by: McGrath, Sean, et al.
Published: (2022)