专题:Machine Learning and Algorithms

This cluster of papers revolves around the topic of active learning in machine learning research. It covers various aspects such as semi-supervised learning, deep learning, Gaussian processes, image classification, text categorization, batch mode active learning, statistical guarantees, and human-in-the-loop approaches.
最新文献
Adaptive Knowledge Assessment via Symmetric Hierarchical Bayesian Neural Networks with Graph Symmetry-Aware Concept Dependencies

article Full Text OpenAlex

PolytopeWalk: Sparse MCMC Sampling over Polytopes

article Full Text OpenAlex

Deep active learning: A reality check

article Full Text OpenAlex

Online Learning from data streams via decentralized and asynchronous SGD

article Full Text OpenAlex

Compiling with Generating Functions

article Full Text OpenAlex

Variable Selection in AUC-Optimizing Classification

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SE-Pruned ResNet-18: Balancing Accuracy and Efficiency for Object Classification on Resource-Constrained Devices

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Exploring Explanations Improves the Robustness of In-Context Learning

article Full Text OpenAlex

Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts

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Open-World Planning via Lifted Regression with LLM-Inferred Affordances for Embodied Agents

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近5年高被引文献
A Survey on Multi-Task Learning

article Full Text OpenAlex 1531 FWCI133.734

Knowledge Graphs

review Full Text OpenAlex 986 FWCI18.16

Emergent Abilities of Large Language Models

preprint Full Text OpenAlex 862 FWCI0

A Survey of Deep Active Learning

review Full Text OpenAlex 798 FWCI16.728

Learning From Noisy Labels With Deep Neural Networks: A Survey

article Full Text OpenAlex 794 FWCI85.401

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

preprint Full Text OpenAlex 643 FWCI0

Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems

article Full Text OpenAlex 604 FWCI54.048

Training Compute-Optimal Large Language Models

preprint Full Text OpenAlex 475 FWCI0

Confident Learning: Estimating Uncertainty in Dataset Labels

article Full Text OpenAlex 471 FWCI44.282

A survey on active learning and human-in-the-loop deep learning for medical image analysis

review Full Text OpenAlex 469 FWCI9.76