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

1328 results for Machine Learning

RASL: Relational Algebra in Scikit-Learn Pipelines
- - Chirag Sahni
  - Kiran Kate
  - et al.
- 2021
- NeurIPS 2021
COVID-19 India Dataset: Parsing Detailed COVID-19 Data in Daily Health Bulletins from States in India
- - Mayank Agarwal
  - Tathagata Chakraborti
  - et al.
- 2021
- NeurIPS 2021
Improved Drought Forecasting Using Surrogate Quantile And Shape (SQUASH) Loss
- - Devyani Lambhate
  - Smit Marvaniya
  - et al.
- 2021
- NeurIPS 2021
Machine Learning Model Drift Detection Via Weak Data Slices
- - Samuel Ackerman
  - Parijat Dube
  - et al.
- 2021
- ICSE 2021
Engineering Fair Machine Learning Pipelines
- - Martin Hirzel
  - Kiran Kate
  - et al.
- 2021
- ICLR 2021
Gi and Pal Scores: Deep Neural Network Generalization Statistics
- - Yair Schiff
  - Brian Quanz
  - et al.
- 2021
- ICLR 2021
Voice2Series: Reprogramming Acoustic Models for Time Series Classification
- - Huck Yang
  - Yun Yun Tsai
  - et al.
- 2021
- ICLR 2021
Characterizing the Latent Space of Molecular Deep Generative Models with Persistent Homology Metrics
- - Yair Schiff
  - Payel Das
  - et al.
- 2020
- NeurIPS 2020
Certified Interpretability Robustness for Class Activation Mapping
- - Alex Gu
  - Tsui-Wei Weng
  - et al.
- 2020
- NeurIPS 2020
Latent Compass: Creation by Navigation
- - Sarah Schwettmann
  - Hendrik Strobelt
  - et al.
- 2020
- NeurIPS 2020