Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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Machine Learning

1328 results for Machine Learning

A Unified Analysis of Federated Learning with Arbitrary Client Participation
- - Shiqiang Wang
  - Mingyue Ji
- 2022
- NeurIPS 2022
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization
- - Songtao Lu
  - Siliang Zeng
  - et al.
- 2022
- NeurIPS 2022
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations
- - Ximeng Sun
  - Ping Hu
  - et al.
- 2022
- NeurIPS 2022
Procedural Image Programs for Representation Learning
- - Manel Baradad
  - Chun Fu Chen
  - et al.
- 2022
- NeurIPS 2022
Self-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation
- - Peihao Chen
  - Dongyu Ji
  - et al.
- 2022
- NeurIPS 2022
Continual Learning In Environments With Polynomial Mixing Times
- - Matthew Riemer
  - Sharath Chandra Raparthy
  - et al.
- 2022
- NeurIPS 2022
Hierarchical Lattice Layer for Partially Monotone Neural Networks
- - Hiroki Yanagisawa
  - Kohei Miyaguchi
  - et al.
- 2022
- NeurIPS 2022
Influencing Long-Term Behavior in Multiagent Reinforcement Learning
- - Dong Ki Kim
  - Matthew Riemer
  - et al.
- 2022
- NeurIPS 2022
Understanding Benign Overfitting in Gradient-based Meta Learning
- - Lisha Chen
  - Songtao Lu
  - et al.
- 2022
- NeurIPS 2022
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning
- - Krishnateja Killamsetty
  - Guttu Sai Abhishek
  - et al.
- 2022
- NeurIPS 2022