Papers
Semi-Supervised Learning for Electron Microscopy Image Segmentation
Eichi Takaya, Yusuke Takeichi, Mamiko Ozaki et al.
Symmetrization for Embedding Directed Graphs
Jiankai Sun, Srinivasan Parthasarathy
An Adaptive Framework for Conversational Question Answering
Lixin Su, Jiafeng Guo, Yixing Fan et al.
Identifying Bottlenecks in Practical SAT-Based Model Finding for First-Order Logic Ontologies with Datasets
Shirly Stephen, Torsten Hahmann
Desiderata for Interpretability: Explaining Decision Tree Predictions with Counterfactuals
Kacper Sokol, Peter Flach
MIGAN: Malware Image Synthesis Using GANs
Abhishek Singh, Debojyoti Dutta, Amit Saha
Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?
Mingyue Shang, Zhenxin Fu, Hongzhi Yin et al.
Examining Political Trustworthiness through Text-Based Measures of Ideology
Eitan Sapiro-Gheiler
Towards Task Understanding in Visual Settings
Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra et al.
A Whole New Ball Game: Harvesting Game Data for Player Profiling
Ivan Samborskii, Aleksandr Farseev, Andrey Filchenkov et al.
Lipper: Speaker Independent Speech Synthesis Using Multi-View Lipreading
Khwaja Mohd. Salik, Swati Aggarwal, Yaman Kumar et al.
Implementation of Boolean AND and OR Logic Gates with Biologically Reasonable Time Constants in Spiking Neural Networks
Lakshay Sahni, Debasrita Chakraborty, Ashish Ghosh
Hierarchical Deep Feature Learning for Decoding Imagined Speech from EEG
Pramit Saha, Sidney Fels
Towards Better Accuracy and Robustness with Localized Adversarial Training
Eitan Rothberg, Tingting Chen, Hao Ji
Learning to Transfer Relational Representations through Analogy
Gaetano Rossiello, Alfio Gliozzo, Michael Glass
EWGAN: Entropy-Based Wasserstein GAN for Imbalanced Learning
Jinfu Ren, Yang Liu, Jiming Liu
Learning Representations in Model-Free Hierarchical Reinforcement Learning
Jacob Rafati, David C. Noelle
Strategic Tasks for Explainable Reinforcement Learning
Rey Pocius, Lawrence Neal, Alan Fern
A Feasibility Test on Preventing PRMDs Based on Deep Learning
So-Hyun Park, Sun-Young Ihm, Aziz Nasridinov et al.
Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters
Kaushal Paneri, Vishnu TV, Pankaj Malhotra et al.
An Improved Hierarchical Datastructure for Nearest Neighbor Search
Mengdie Nie, Zhi-Jie Wang, Chunjing Gan et al.
On the Role of Syntactic Graph Convolutions for Identifying and Classifying Argument Components
Gaku Morio, Katsuhide Fujita
Logic-Based Sequential Decision-Making
Daoming Lyu, Fangkai Yang, Bo Liu et al.