Publications

78 results for Lucian Popa

AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning
- - Krishnateja Killamsetty
  - Guttu Sai Abhishek
  - et al.
- 2022
- NeurIPS 2022
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming
- - Ayush Maheshwari
  - Krishnateja Killamsetty
  - et al.
- 2022
- ACL 2022
Domain Representative Keywords Selection: A Probabilistic Approach
- - Pritom Akash
  - Jie Huang
  - et al.
- 2022
- ACL 2022
Data Science with Human in the Loop
- - Eduard Dragut
  - Yunyao Li
  - et al.
- 2021
- KDD 2021
3rd Workshop on Data Science with Human in the Loop (DaSH)
- - Eduard Dragut
  - Lucian Popa
  - et al.
- 2021
- KDD 2021
Explainability for Natural Language Processing
- - Marina Danilevsky
  - Shipi Dhanorkar
  - et al.
- 2021
- KDD 2021
LNN-EL: A neuro-symbolic approach to short-text entity linking
- - Hang Jiang
  - Sairam Gurajada
  - et al.
- 2021
- ACL-IJCNLP 2021
Leveraging Abstract Meaning Representation for Knowledge Base Question Answering
- - Pavan Kapanipathi
  - Ibrahim Abdelaziz
  - et al.
- 2021
- ACL-IJCNLP 2021
Who needs to know what, when?: Broadening the Explainable AI (XAI) Design Space by Looking at Explanations across the AI Lifecycle
- - Shipi Dhanorkar
  - Christine T. Wolf
  - et al.
- 2021
- DIS 2021
Data Science with Human-in-the-Loop: Language Advances
- - Eduard Dragut
  - Yunyao Li
  - et al.
- 2021
- NAACL 2021