Arshdeep Sekhon

According to our database, Arshdeep Sekhon authored at least 16 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Improving Interpretability via Explicit Word Interaction Graph Layer.

Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

ST-MAML : A stochastic-task based method for task-heterogeneous meta-learning.

Zhe Wang, Jake Grigsby, Arshdeep Sekhon, Yanjun Qi

Proceedings of the Uncertainty in Artificial Intelligence, 2022

White-box Testing of NLP models with Mask Neuron Coverage.

Arshdeep Sekhon, Yangfeng Ji, Matthew B. Dwyer, Yanjun Qi

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge.

Arshdeep Sekhon, Zhe Wang, Yanjun Qi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Relate and Predict: Structure-Aware Prediction with Jointly Optimized Neural DAG.

Arshdeep Sekhon, Zhe Wang, Yanjun Qi

CoRR, 2021

Evolving Image Compositions for Feature Representation Learning.

Paola Cascante-Bonilla, Arshdeep Sekhon, Yanjun Qi, Vicente Ordonez

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing.

Sanchit Sinha, Hanjie Chen, Arshdeep Sekhon, Yangfeng Ji, Yanjun Qi

Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

Transfer learning for predicting virus-host protein interactions for novel virus sequences.

Jack Lanchantin, Tom Weingarten, Arshdeep Sekhon, Clint Miller, Yanjun Qi

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

2020

Differential Network Learning Beyond Data Samples.

Arshdeep Sekhon, Beilun Wang, Zhe Wang, Yanjun Qi

CoRR, 2020

2019

Neural Message Passing for Multi-label Classification.

Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018

DeepDiff: DEEP-learning for predicting DIFFerential gene expression from histone modifications.

Arshdeep Sekhon, Ritambhara Singh, Yanjun Qi

Bioinform., 2018

A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models.

Beilun Wang, Arshdeep Sekhon, Yanjun Qi

Proceedings of the 35th International Conference on Machine Learning, 2018

Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure.

Beilun Wang, Arshdeep Sekhon, Yanjun Qi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Prototype Matching Networks for Large-Scale Multi-label Genomic Sequence Classification.

Jack Lanchantin, Arshdeep Sekhon, Ritambhara Singh, Yanjun Qi

CoRR, 2017

GaKCo: A Fast Gapped k-mer String Kernel Using Counting.

Ritambhara Singh, Arshdeep Sekhon, Kamran Kowsari, Jack Lanchantin, Beilun Wang, Yanjun Qi

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin.

Ritambhara Singh, Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017