125 research outputs found
A comparative study of Kimura’s disease and IgG4‐related disease: similarities, differences and overlapping features
No full text
White-box fairness testing through adversarial sampling
No full textAlthough deep neural networks (DNNs) have demonstrated astonishing performance in many applications, there are still concerns on their dependability. One desirable property of DNN for applications with societal impact is fairness (i.e., non-discrimination). In this work, we propose a scalable approach for searching individual discriminatory instances of DNN. Compared with state-of-the-art methods, our approach only employs lightweight procedures like gradient computation and clustering, which makes it significantly more scalable than existing methods. Experimental results show that our approach explores the search space more effectively (9 times) and generates much more individual discriminatory instances (25 times) using much less time (half to 1/7).Full Tex
Towards interpreting recurrent neural networks through probabilistic abstraction
No full textNational Research Foundation (NRF) Singapore under its AI Singapore Programm
High-quality poly (N-phenyl-2-naphthylamine) films: Electrosynthesis and fluorescent properties
No full textThe Influence of Backward Sweep on Aerodynamic Performance of a 1.5-Stage Highly Loaded Axial Compressor
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