Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks
- Rong Zhu
- Mattia Rigotti
- 2021
- NeurIPS 2021
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.
Date
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- Machine Learning
1317 results for Machine Learning
Measuring Generalization with Optimal Transport
- Ching-Yao Chuang
- Youssef Mroueh
- et al.
- 2021
- NeurIPS 2021
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
- Geng Yuan
- Xialong Ma
- et al.
- 2021
- NeurIPS 2021
Efficient Generalization with Distributionally Robust Learning
- Soumyadip Ghosh
- Mark Squillante
- et al.
- 2021
- NeurIPS 2021
Cardinality-Regularized Hawkes-Granger Model
- Ide-San Ide
- Georgios Kollias
- et al.
- 2021
- NeurIPS 2021
OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization
- Kuniaki Saito
- Donghyun Kim
- et al.
- 2021
- NeurIPS 2021
Predicting Deep Neural Network Generalization with Perturbation Response Curves
- Yair Schiff
- Brian Quanz
- et al.
- 2021
- NeurIPS 2021
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning
- Mattia Atzeni
- Jasmina Bogojeska
- et al.
- 2021
- NeurIPS 2021
Sliced Mutual Information: A Scalable Measure of Statistical Dependence
- Ziv Goldfeld
- Kristjan Greenewald
- 2021
- NeurIPS 2021
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning
- Xin Zhang
- Zhuqing Liu
- et al.
- 2021
- NeurIPS 2021