Arshdeep Sekhon

According to our database1, Arshdeep Sekhon authored at least 16 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Improving Interpretability via Explicit Word Interaction Graph Layer.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
ST-MAML : A stochastic-task based method for task-heterogeneous meta-learning.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

White-box Testing of NLP models with Mask Neuron Coverage.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Relate and Predict: Structure-Aware Prediction with Jointly Optimized Neural DAG.
CoRR, 2021

Evolving Image Compositions for Feature Representation Learning.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing.
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.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

2020
Differential Network Learning Beyond Data Samples.
CoRR, 2020

2019
Neural Message Passing for Multi-label Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018
DeepDiff: DEEP-learning for predicting DIFFerential gene expression from histone modifications.
Bioinform., 2018

A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models.
Proceedings of the 35th International Conference on Machine Learning, 2018

Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Prototype Matching Networks for Large-Scale Multi-label Genomic Sequence Classification.
CoRR, 2017

GaKCo: A Fast Gapped k-mer String Kernel Using Counting.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017


  Loading...