| Robust Local Features for Improving the Generalization of Adversarial Training | 0 | 0.34 | 2020 |
| Single Image Reflection Removal Through Cascaded Refinement | 1 | 0.37 | 2020 |
| Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks | 0 | 0.34 | 2020 |
| Adversarially Robust Generalization Just Requires More Unlabeled Data. | 6 | 0.42 | 2019 |
| Adaptive Wavelet Clustering for Highly Noisy Data. | 0 | 0.34 | 2019 |
| Locally-biased spectral approximation for community detection. | 2 | 0.36 | 2019 |
| Krylov Subspace Approximation for Local Community Detection in Large Networks. | 1 | 0.38 | 2019 |
| AT-GAN: A Generative Attack Model for Adversarial Transferring on Generative Adversarial Nets. | 0 | 0.34 | 2019 |
| Computational sustainability: computing for a better world and a sustainable future | 2 | 0.40 | 2019 |
| A New Anchor Word Selection Method for the Separable Topic Discovery. | 0 | 0.34 | 2019 |
| Improving the Generalization of Adversarial Training with Domain Adaptation. | 3 | 0.38 | 2018 |
| Neighbourhood-preserving dimension reduction via localised multidimensional scaling. | 0 | 0.34 | 2018 |
| Hidden Community Detection in Social Networks. | 11 | 0.62 | 2018 |
| Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation. | 3 | 0.45 | 2018 |
| Curvature-based Comparison of Two Neural Networks | 0 | 0.34 | 2018 |
| Snapshot Ensembles: Train 1, get M for free. | 37 | 1.19 | 2017 |
| The Local Dimension of Deep Manifold. | 0 | 0.34 | 2017 |
| Understanding Deep Representations through Random Weights. | 0 | 0.34 | 2017 |
| Local Lanczos Spectral Approximation for Community Detection. | 1 | 0.37 | 2017 |
| Learning Latent Topics from the Word Co-occurrence Network. | 0 | 0.34 | 2017 |
| Deep Compression on Convolutional Neural Network for Artistic Style Transfer. | 0 | 0.34 | 2017 |
| Nonlinear Dimension Reduction by Local Multidimensional Scaling. | 0 | 0.34 | 2016 |
| A Powerful Generative Model Using Random Weights for the Deep Image Representation. | 12 | 0.71 | 2016 |
| Frontiers of Algorithmics | 0 | 0.34 | 2015 |
| Deep Manifold Traversal: Changing Labels with Convolutional Features | 9 | 0.78 | 2015 |
| In a World that Counts: Clustering and Detecting Fake Social Engagement at Scale | 11 | 0.51 | 2015 |
| Uncovering the Small Community Structure in Large Networks: A Local Spectral Approach | 28 | 0.85 | 2015 |
| Revealing Multiple Layers of Hidden Community Structure in Networks. | 4 | 0.47 | 2015 |
| Overlapping Community Detection via Local Spectral Clustering | 1 | 0.35 | 2015 |
| Convergent Learning: Do different neural networks learn the same representations? | 29 | 1.10 | 2015 |
| The Lifecycle and Cascade of Social Messaging Groups | 0 | 0.34 | 2015 |
| Use of Local Group Information to Identify Communities in Networks | 7 | 0.46 | 2015 |
| A separability framework for analyzing community structure | 11 | 0.57 | 2014 |
| Extracting the Core Structure of Social Networks Using (α, β)-Communities. | 5 | 0.43 | 2013 |
| Sign Cauchy Projections and Chi-Square Kernel. | 16 | 0.66 | 2013 |
| Learning to predict reciprocity and triadic closure in social networks | 40 | 1.22 | 2013 |
| On the separability of structural classes of communities | 23 | 1.21 | 2012 |
| Using community information to improve the precision of link prediction methods | 31 | 1.52 | 2012 |
| On the impact of turing machines | 0 | 0.34 | 2012 |
| Information, Data, Security in a Networked Future | 0 | 0.34 | 2012 |
| The web of topics: discovering the topology of topic evolution in a corpus | 33 | 1.18 | 2011 |
| Who will follow you back?: reciprocal relationship prediction | 96 | 3.22 | 2011 |
| Detecting Community Kernels in Large Social Networks | 33 | 1.28 | 2011 |
| The Future of Computer Science. | 0 | 0.34 | 2011 |
| New research directions in the information age | 0 | 0.34 | 2010 |
| Recovering social networks from contagion information | 3 | 0.39 | 2010 |
| Community structure in large complex networks | 4 | 0.39 | 2010 |
| Frontiers in Algorithmics, Third International Workshop, FAW 2009, Hefei, China, June 20-23, 2009. Proceedings | 30 | 2.17 | 2009 |
| Manipulation-resistant reputations using hitting time | 20 | 0.97 | 2008 |
| Computer Science in the Information Age | 0 | 0.34 | 2008 |
