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- IBM Research - Thomas J. Watson Research CenterUS46 papers
- Massachusetts Institute of TechnologyUS22 papers
- Vassar CollegeUS16 papers
- California Institute of TechnologyUS13 papers
- Columbia UniversityUS12 papers
- Stanford UniversityUS11 papers
- Centre National de la Recherche ScientifiqueFR10 papers
- Carnegie Mellon UniversityUS9 papers
- University of Illinois Urbana-ChampaignUS9 papers
- University of MichiganUS9 papers
- IBM Research - ZurichCH8 papers
- Iowa State UniversityUS8 papers
6 papers · 1 filter
Classification of radiology reports by modality and anatomy: A comparative study
Marina Bendersky, Joy Wu, Tanveer Syeda-Mahmood
Data labeling is currently a time-consuming task that often requires expert knowledge. In research settings, the availability of correctly labeled data is crucial to ensure that mo…
Bias Mitigation Post-processing for Individual and Group Fairness
Pranay K. Lohia, Karthikeyan Natesan Ramamurthy, Manish Bhide +3
Whereas previous post-processing approaches for increasing the fairness of predictions of biased classifiers address only group fairness, we propose a method for increasing both in…
Quantifying work function differences using low-energy electron microscopy: the case of mixed-terminated strontium titanate
Johannes Jobst, Laurens M. Boers, Chunhai Yin +3
For many applications, it is important to measure the local work function of a surface with high lateral resolution. Low-energy electron microscopy is regularly employed to this en…
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen +5
The robustness of neural networks to adversarial examples has received great attention due to security implications. Despite various attack approaches to crafting visually impercep…
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
Jie Chen, Tengfei Ma, Cao Xiao
The graph convolutional networks (GCN) recently proposed by Kipf and Welling are an effective graph model for semi-supervised learning. This model, however, was originally designed…
RED-Net: A Recurrent Encoder-Decoder Network for Video-based Face Alignment
Xi Peng, Rogerio S. Feris, Xiaoyu Wang +1
We propose a novel method for real-time face alignment in videos based on a recurrent encoder-decoder network model. Our proposed model predicts 2D facial point heat maps regulariz…