Submodel Decomposition Bounds for Influence Diagrams
- Junkyu Lee
- Radu Marinescu
- et al.
- 2021
- AAAI 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.
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- Machine Learning
1330 results for Machine Learning
Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks
- Maurício Gruppi
- Sibel Adalı
- et al.
- 2021
- AAAI 2021
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving
- Maxwell Crouse
- Ibrahim Abdelaziz
- et al.
- 2021
- AAAI 2021
Self-correcting Q-learning
- Rong Zhu
- Mattia Rigotti
- 2021
- AAAI 2021
Graph Neural Network to Dilute Outliers for Refactoring Monolith Application
- Utkarsh Desai
- Sambaran Bandyopadhyay
- et al.
- 2021
- AAAI 2021
Decentralized policy gradient descent ascent for safe multi-agent reinforcement learning
- Songtao Lu
- Kaiqing Zhang
- et al.
- 2021
- AAAI 2021
NASTransfer: Analyzing Architecture Transferability in Large Scale NeuralArchitecture Search
- Rameswar Panda
- Michele Merler
- et al.
- 2021
- AAAI 2021
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text
- Nishtha Madaan
- Inkit Padhi
- et al.
- 2021
- AAAI 2021
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting
- Nam Nguyen
- Brian Quanz
- 2021
- AAAI 2021
Training Stronger Baselines for Learning to Optimize
- Tianlong Chen
- Weiyi Zhang
- et al.
- 2020
- NeurIPS 2020