Explainable deep learning: A field guide for the uninitiated G Ras, N Xie, M van Gerven, D Doran Journal of Artificial Intelligence Research 73, 329-397, 2022 | 473 | 2022 |
Visual Entailment: A Novel Task for Fine-Grained Image Understanding N Xie, L Farley, D Doran, A Kadav arXiv preprint arXiv:1901.06706, 2019 | 289 | 2019 |
Explaining trained neural networks with semantic web technologies: First steps MK Sarker, N Xie, D Doran, M Raymer, P Hitzler arXiv preprint arXiv:1710.04324, 2017 | 97 | 2017 |
Visual entailment task for visually-grounded language learning N Xie, F Lai, D Doran, A Kadav arXiv preprint arXiv:1811.10582, 2018 | 51 | 2018 |
Cma-clip: Cross-modality attention clip for image-text classification H Liu, S Xu, J Fu, Y Liu, N Xie, CC Wang, B Wang, Y Sun arXiv preprint arXiv:2112.03562, 2021 | 22 | 2021 |
Reasoning over RDF knowledge bases using deep learning M Ebrahimi, MK Sarker, F Bianchi, N Xie, D Doran, P Hitzler arXiv preprint arXiv:1811.04132, 2018 | 14 | 2018 |
Neuro-symbolic deductive reasoning for cross-knowledge graph entailment M Ebrahimi, MK Sarker, F Bianchi, N Xie, A Eberhart, D Doran, HS Kim, ... AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2021 | 12 | 2021 |
Fine-grained fashion representation learning by online deep clustering Y Jiao, N Xie, Y Gao, CC Wang, Y Sun European conference on computer vision, 19-35, 2022 | 11 | 2022 |
Relating input concepts to convolutional neural network decisions N Xie, MK Sarker, D Doran, P Hitzler, M Raymer arXiv preprint arXiv:1711.08006, 2017 | 11 | 2017 |
Contextual grounding of natural language entities in images F Lai, N Xie, D Doran, A Kadav arXiv preprint arXiv:1911.02133, 2019 | 5 | 2019 |
A soft computing prefetcher to mitigate cache degradation by web robots N Xie, K Brown, N Rude, D Doran Advances in Neural Networks-ISNN 2017: 14th International Symposium, ISNN …, 2017 | 3 | 2017 |
Learning representations of generalized cross-modal entailment tasks F Lai, A Kadav, N Xie US Patent 11,250,299, 2022 | | 2022 |
On the Generalization Capability of Memory Networks for Reasoning M Ebrahimi, MK Sarker, F Bianchi, N Xie, A Eberhart, D Doran, P Hitzler | | |
3.9 Understanding Neural Networks through Background Knowledge US Dayton, M Labaf, MK Sarker, M Raymer, N Xie Human-Like Neural-Symbolic Computing 2 (10), 67, 0 | | |