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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129 results for Explainable AI

Rectification Learning From Hypotheses Refutation and Relevance Classification
- - Victor Kravets
  - Jie-hong R. Jiang
  - et al.
- 2023
- DAC 2023
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Decision Tree Models
- - Abdullah Caglar Oksuz
  - Anisa Halimi
  - et al.
- 2023
- NDSS 2023
xLP: Explainable Link Prediction Demo
- - Balaji Ganesan
  - Srinivas Parkala
  - et al.
- 2020
- NeurIPS 2020
Finspector: A Human-Centered Visual Inspection Tool for Exploring and Comparing Biases among Foundation Models
- - Bc Kwon
  - Nandana Mihindukulasooriya
- 2023
- ACL 2023
Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures
- - Michael Hersche
  - Francesco Di Stefano
  - et al.
- 2023
- NeurIPS 2023
Reimagining GNN Explanations with ideas from Tabular Data
- - Anjali Singh
  - Shamanth R Nayak K
  - et al.
- 2021
- ICML 2021
Explainable Link Prediction for Privacy-Preserving Contact Tracing
- - Balaji Ganesan
  - Hima Patel
  - et al.
- 2020
- NeurIPS 2020
Consumer-Driven Explanations for Machine Learning Decisions: An Empirical Study of Robustness
- - Michael Hind
  - Dennis Wei
  - et al.
- 2020
- ICML 2020
Data Contamination Report from the 2024 CONDA Shared Task
- - Oscar Sainz
  - Iker García-ferrero
  - et al.
- 2024
- ACL 2024
Empowering Sustainable Finance: Leveraging Large Language Models for Climate-Aware Investments
- - Ayush Jain
  - Manikandan Padmanaban
  - et al.
- 2024
- ICLR 2024