Arshdeep Sekhon
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
7
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | SIGMOD | Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment. | Yiwen Zhu, Rathijit Sen, Brian Kroth, Sergiy Matusevych, Andreas C. Mueller, Tengfei Huang, Rahul Challapalli, Weihan Tang, Xin He, Mo Liu, Estera Kot, Sule Kahraman, Arshdeep Sekhon, Dario Bernal, Aditya Lakra, Shaily Fozdar, Dhruv Relwani, Rui Fang, Long Tian, Karuna Sagar Krishna, Ashit Gosalia, Carlo Curino, Subru Krishnan |
| 2023 | AAAI | Improving Interpretability via Explicit Word Interaction Graph Layer. | Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi |
| 2022 | AISTATS | Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge. | Arshdeep Sekhon, Zhe Wang, Yanjun Qi |
| 2022 | NAACL | White-box Testing of NLP models with Mask Neuron Coverage. | Arshdeep Sekhon, Yangfeng Ji, Matthew B. Dwyer, Yanjun Qi |
| 2022 | UAI | ST-MAML : A stochastic-task based method for task-heterogeneous meta-learning. | Zhe Wang, Jake Grigsby, Arshdeep Sekhon, Yanjun Qi |
| 2021 | BMVC | Evolving Image Compositions for Feature Representation Learning. | Paola Cascante-Bonilla, Arshdeep Sekhon, Yanjun Qi, Vicente Ordonez |
| 2018 | AISTATS | Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure. | Beilun Wang, Arshdeep Sekhon, Yanjun Qi |
| 2018 | ICML | A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models. | Beilun Wang, Arshdeep Sekhon, Yanjun Qi |