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

Holistic Adversarial Robustness of Deep Learning Models
- - Pin-Yu Chen
  - Sijia Liu
- 2023
- AAAI 2023
Automated Metamorphic Testing using Transitive Relations for Specializing Stance Detection Models
- - Alisa Arno
  - Futoshi Iwama
  - et al.
- 2023
- ICSE 2023
Label-free Concept Bottleneck Models
- - Tuomas Oikarinen
  - Subhro Das
  - et al.
- 2023
- ICLR 2023
FedExP: Speeding up Federated Averaging via Extrapolation
- - Divyansh Jhunjhunwala
  - Shiqiang Wang
  - et al.
- 2023
- ICLR 2023
Neural-based classification rule learning for sequential data
- - Marine Collery
  - Philippe Bonnard
  - et al.
- 2023
- ICLR 2023
Symmetries, flat minima, and the conserved quantities of gradient flow
- - Bo Zhao
  - Iordan Ganev
  - et al.
- 2023
- ICLR 2023
Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning
- - Zehao Niu
  - Mihai Anitescu
  - et al.
- 2023
- ICLR 2023
Deep learning acceleration in 14nm CMOS compatible ReRAM array: device, material and algorithm co-optimization
- - N. Gong
  - Malte J. Rasch
  - et al.
- 2022
- IEDM 2022
Advancing Model Pruning via Bi-level Optimization
- - Yihua Zhang
  - Yuguang Yao
  - et al.
- 2022
- NeurIPS 2022
Domain Adaptation meets Individual Fairness. And they get along.
- - Debarghya Mukherjee
  - Felix Petersen
  - et al.
- 2022
- NeurIPS 2022