Arshdeep Sekhon

29 papers A* 2A 4Journal 16Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment. SIGMOD Conference Companion 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
2024	J	`jnl`	Does Prompt Formatting Have Any Impact on LLM Performance? CoRR Jia He, Mukund Rungta, David Koleczek, Arshdeep Sekhon, Franklin X. Wang, Sadid Hasan
2023	A*	`conf`	Improving Interpretability via Explicit Word Interaction Graph Layer. AAAI Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi
2023	J	`jnl`	Improving Interpretability via Explicit Word Interaction Graph Layer. CoRR Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi
2022	A	`conf`	Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge. AISTATS Arshdeep Sekhon, Zhe Wang, Yanjun Qi
2022	A	`conf`	ST-MAML : A stochastic-task based method for task-heterogeneous meta-learning. UAI Zhe Wang, Jake Grigsby, Arshdeep Sekhon, Yanjun Qi
2022	—	`conf`	White-box Testing of NLP models with Mask Neuron Coverage. NAACL-HLT (Findings) Arshdeep Sekhon, Yangfeng Ji, Matthew B. Dwyer, Yanjun Qi
2022	J	`jnl`	White-box Testing of NLP models with Mask Neuron Coverage. CoRR Arshdeep Sekhon, Yangfeng Ji, Matthew B. Dwyer, Yanjun Qi
2021	A	`conf`	Evolving Image Compositions for Feature Representation Learning. BMVC Paola Cascante-Bonilla, Arshdeep Sekhon, Yanjun Qi, Vicente Ordonez
2021	J	`jnl`	Evolving Image Compositions for Feature Representation Learning. CoRR Paola Cascante-Bonilla, Arshdeep Sekhon, Yanjun Qi, Vicente Ordonez
2021	—	`conf`	Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing. BlackboxNLP@EMNLP Sanchit Sinha, Hanjie Chen, Arshdeep Sekhon, Yangfeng Ji, Yanjun Qi
2021	J	`jnl`	Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing. CoRR Sanchit Sinha, Hanjie Chen, Arshdeep Sekhon, Yangfeng Ji, Yanjun Qi
2021	J	`jnl`	Relate and Predict: Structure-Aware Prediction with Jointly Optimized Neural DAG. CoRR Arshdeep Sekhon, Zhe Wang, Yanjun Qi
2021	J	`jnl`	ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning. CoRR Zhe Wang, Jake Grigsby, Arshdeep Sekhon, Yanjun Qi
2021	—	`conf`	Transfer learning for predicting virus-host protein interactions for novel virus sequences. BCB Jack Lanchantin, Tom Weingarten, Arshdeep Sekhon, Clint Miller, Yanjun Qi
2020	J	`jnl`	Differential Network Learning Beyond Data Samples. CoRR Arshdeep Sekhon, Beilun Wang, Zhe Wang, Yanjun Qi
2019	J	`jnl`	Neural Message Passing for Multi-Label Classification. CoRR Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi
2019	—	`conf`	Neural Message Passing for Multi-label Classification. ECML/PKDD (2) Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi
2018	A*	`conf`	A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models. ICML Beilun Wang, Arshdeep Sekhon, Yanjun Qi
2018	J	`jnl`	A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models. CoRR Beilun Wang, Arshdeep Sekhon, Yanjun Qi
2018	J	`jnl`	DeepDiff: DEEP-learning for predicting DIFFerential gene expression from histone modifications. Bioinform. Arshdeep Sekhon, Ritambhara Singh, Yanjun Qi
2018	J	`jnl`	DeepDiff: Deep-learning for predicting Differential gene expression from histone modifications. CoRR Arshdeep Sekhon, Ritambhara Singh, Yanjun Qi
2018	A	`conf`	Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure. AISTATS Beilun Wang, Arshdeep Sekhon, Yanjun Qi
2017	—	`conf`	Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin. NIPS Ritambhara Singh, Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi
2017	J	`jnl`	Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin. CoRR Ritambhara Singh, Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi
2017	J	`jnl`	Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure. CoRR Beilun Wang, Arshdeep Sekhon, Yanjun Qi
2017	—	`conf`	GaKCo: A Fast Gapped k-mer String Kernel Using Counting. ECML/PKDD (1) Ritambhara Singh, Arshdeep Sekhon, Kamran Kowsari, Jack Lanchantin, Beilun Wang, Yanjun Qi
2017	J	`jnl`	GaKCo: a Fast GApped k-mer string Kernel using COunting. CoRR Ritambhara Singh, Arshdeep Sekhon, Kamran Kowsari, Jack Lanchantin, Beilun Wang, Yanjun Qi
2017	J	`jnl`	Prototype Matching Networks for Large-Scale Multi-label Genomic Sequence Classification. CoRR Jack Lanchantin, Arshdeep Sekhon, Ritambhara Singh, Yanjun Qi