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Application Areas

31,658 papers (3 classified directly here)

Subtopics

Domain Adaptation (8,962) Efficient Computing (6,898) Data Augmentation (3,720) Fairness (3,511) Knowledge Distillation (3,086) Privacy (2,847) Domain Generalization (1,834) Model Compression (1,718) Risk Management (1,064) Model Merging (558) Recommender Systems (315) Information Retrieval (244) Text Classification (139) Text Processing (5)

Papers per year

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Papers (including subtopics)

Incorporating Unlabeled Data into Distributionally Robust Learning JMLR 2021
Sparse Tensor Additive Regression JMLR 2021
Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs JMLR 2021
Histogram Transform Ensembles for Large-scale Regression JMLR 2021
OpenML-Python: an extensible Python API for OpenML JMLR 2021
River: machine learning for streaming data in Python JMLR 2021
NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization JMLR 2021
An Importance Weighted Feature Selection Stability Measure JMLR 2021
Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints JMLR 2021
Locally Differentially-Private Randomized Response for Discrete Distribution Learning JMLR 2021
Hybrid Predictive Models: When an Interpretable Model Collaborates with a Black-box Model JMLR 2021
Individual Fairness in Hindsight JMLR 2021
Hyperparameter Optimization via Sequential Uniform Designs JMLR 2021
A Greedy Algorithm for Quantizing Neural Networks JMLR 2021
PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review JMLR 2021
Estimation and Optimization of Composite Outcomes JMLR 2021
Achieving Fairness in the Stochastic Multi-Armed Bandit Problem JMLR 2021
Locally Private k-Means Clustering JMLR 2021
Alibi Explain: Algorithms for Explaining Machine Learning Models JMLR 2021
mlr3pipelines - Flexible Machine Learning Pipelines in R JMLR 2021
Differentially Private Regression and Classification with Sparse Gaussian Processes JMLR 2021
Oblivious Data for Fairness with Kernels JMLR 2021
Cooperative SGD: A Unified Framework for the Design and Analysis of Local-Update SGD Algorithms JMLR 2021
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python JMLR 2021
TensorHive: Management of Exclusive GPU Access for Distributed Machine Learning Workloads JMLR 2021