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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16 results for Ambrish Rawat

Searching for Machine Learning Pipelines Using a Context-Free Grammar
- - Radu Marinescu
  - Akihiro Kishimoto
  - et al.
- 2021
- AAAI 2021
Data Forging Is Harder Than You Think
- - Mohamed Suliman
  - Swanand Ravindra Kadhe
  - et al.
- 2024
- ICLR 2024
Domain Adaptation for Time series Transformers using One-step fine-tuning
- - Subina Khanal
  - Seshu Tirupathi
  - et al.
- 2024
- AAAI 2024
FAT: Federated Adversarial Training
- - Giulio Zizzo
  - Ambrish Rawat
  - et al.
- 2020
- NeurIPS 2020
FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in LLMs
- - Swanand Ravindra Kadhe
  - Anisa Halimi
  - et al.
- 2023
- NeurIPS 2023
Challenges and Pitfalls of Bayesian Unlearning
- - Ambrish Rawat
  - James Requeima
  - et al.
- 2022
- ICML 2022
Federated Unlearning: How to Efficiently Erase a Client in FL?
- - Anisa Halimi
  - Swanand Ravindra Kadhe
  - et al.
- 2022
- ICML 2022
Federated Continual Learning with Differentially Private Data Sharing
- - Giulio Zizzo
  - Ambrish Rawat
  - et al.
- 2022
- NeurIPS 2022
Scalable Large Margin Gaussian Process Classification
- - Martin Wistuba
  - Ambrish Rawat
- 2019
- ECML PKDD 2019
MoJE: Mixture of Jailbreak Experts, Naive Tabular Classifiers as Guard for Prompt Attacks
- - Giandomenico Cornacchia
  - Kieran Fraser
  - et al.
- 2024
- AIES 2024