31 citations
- Institute of Cognitive and Brain SciencesUS2 papers
- The Ohio State UniversityUS2 papers
- Applications Research (United States)US1 paper
- Australian National UniversityAU1 paper
- Bellevue Hospital CenterUS1 paper
- Constructing ExcellenceGB1 paper
- Goldsmiths University of LondonGB1 paper
- Hefei UniversityCN1 paper
- MediaTek (China)CN1 paper
- Mitsubishi Electric Research Laboratories (United States)US1 paper
- Mitsubishi Electric (United States)US1 paper
- National Research University Higher School of EconomicsRU1 paper
4 papers · 1 filter
Randomized fast no-loss expert system to play tic tac toe like a human
Aditya Jyoti Paul
This paper introduces a blazingly fast, no-loss expert system for Tic Tac Toe using Decision Trees called T3DT, that tries to emulate human gameplay as closely as possible. It does…
Understanding and Detecting Convergence for Stochastic Gradient Descent with Momentum
Jerry Chee, Ping Li
Convergence detection of iterative stochastic optimization methods is of great practical interest. This paper considers stochastic gradient descent (SGD) with a constant learning r…
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection
Jing Zhang, Jianwen Xie, Nick Barnes
In this paper, we propose a noise-aware encoder-decoder framework to disentangle a clean saliency predictor from noisy training examples, where the noisy labels are generated by un…
FourierNet: Compact mask representation for instance segmentation using differentiable shape decoders
Hamd ul Moqeet Riaz, Nuri Benbarka, Andreas Zell
We present FourierNet, a single shot, anchor-free, fully convolutional instance segmentation method that predicts a shape vector. Consequently, this shape vector is converted into…