Neural Active Learning Beyond Bandits
- Yikun Ban
- Ishika Agarwal
- et al.
- 2024
- ICLR 2024
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
On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms
- Lam Nguyen
- Trang H. Tran
- 2023
- NeurIPS 2023
StableFDG: Style and Attention Based Learning for Federated Domain Generalization
- Jungwuk Park
- Dong-jun Han
- et al.
- 2023
- NeurIPS 2023
Analyzing Generalization of Neural Networks through Loss Path Kernels
- Yilan Chen
- Wei Huang
- et al.
- 2023
- NeurIPS 2023
Transformers over Directed Acyclic Graphs
- Yuankai Luo
- Veronika Thost
- et al.
- 2023
- NeurIPS 2023
TIES-Merging: Resolving Interference When Merging Models
- Prateek Yadav
- Derek Tam
- et al.
- 2023
- NeurIPS 2023
Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity
- Weichao Mao
- Haoran Qiu
- et al.
- 2023
- NeurIPS 2023
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
- Zhiqing Sun
- Yikang Shen
- et al.
- 2023
- NeurIPS 2023
Improved Self-supervised Molecular Representation Learning using Persistent Homology
- Yuankai Luo
- Lei Shi
- et al.
- 2023
- NeurIPS 2023
Long Sequence Hopfield Memory
- Hamza Tahir Chaudhry
- Jacob Zavatone-veth
- et al.
- 2023
- NeurIPS 2023