Understanding Interlocking Dynamics of Cooperative Rationalization
- Mo Yu
- Yang Zhang
- et al.
- 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.
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- Machine Learning
1317 results for Machine Learning
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics
- Kai Xu
- Akash Srivastava
- et al.
- 2021
- NeurIPS 2021
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
- Ruchir Puri
- David Kung
- et al.
- 2021
- NeurIPS 2021
Does enforcing fairness mitigate biases caused by subpopulation shift?
- Subha Maity
- Debarghya Mukherjee
- et al.
- 2021
- NeurIPS 2021
Efficient Scaling of Dynamic Graph Neural Networks
- Venkatesan T. Chakaravarthy
- Shivmaran S. Pandian
- et al.
- 2021
- SC 2021
FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers
- Zheng Chai
- Yujing Chen
- et al.
- 2021
- SC 2021
Generalizable Coordination of Large Multiscale Workflows: Challenges and Learnings at Scale
- Harsh Bhatia
- Francesco Di Natale
- et al.
- 2021
- SC 2021
FedDR -- Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization
- Quoc Tran-Dinh
- Nhan Pham
- et al.
- 2021
- NeurIPS 2021
On the Equivalence between Neural Network and Support Vector Machine
- Yilan Chen
- Wei Huang
- et al.
- 2021
- NeurIPS 2021
Pipeline Combinators for Gradual AutoML
- Guillaume Baudart
- Martin Hirzel
- et al.
- 2021
- NeurIPS 2021