Publications

This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. 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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Year

41 results for Explainable AI

InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection
- - Yi Fung
  - Chris Thomas
  - et al.
- 2021
- ACL-IJCNLP 2021
Anomaly Attribution with Likelihood Compensation
- - Tsuyoshi Ide
  - Amit Dhurandhar
  - et al.
- 2021
- AAAI 2021
Learn more about our Explainable AI work
Topic
Model Agnostic Multilevel Explanations
- - Karthikeyan Natesan Ramamurthy
  - Bhanukiran Vinzamuri
  - et al.
- 2020
- NeurIPS 2020
Learning Global Transparent Models consistent with Local Contrastive Explanations
- - Tejaswini Pedapati
  - Avinash Balakrishnan
  - et al.
- 2020
- NeurIPS 2020
Enhancing simple models by exploiting what they already know
- - Amit Dhurandhar
  - Karthikeyan Shanmugam
  - et al.
- 2020
- ICML 2020
Leveraging Latent Features for Local Explanations
- - Ronny Luss
  - Pin-Yu Chen
  - et al.
- 2021
- KDD 2021
An anomaly detection and explainability framework using convolutional autoencoders for data storage systems
- - Roy Assaf
  - Ioana Giurgiu
  - et al.
- 2021
- IJCAI 2020
The emerging landscape of explainable automated planning & decision making
- - Tathagata Chakraborti
  - Sarath Sreedharan
  - et al.
- 2021
- IJCAI 2020
AI trust in business processes: The need for process-aware explanations
- - Steve T.K. Jan
  - Vatche Isahagian
  - et al.
- 2020
- IAAI 2020
Explainable machine learning in deployment
- - Umang Bhatt
  - Alice Xiang
  - et al.
- 2020
- FAccT 2020