Papers
734 papers found
Capsule Networks Need an Improved Routing Algorithm
Inyoung Paik, Taeyeong Kwak, Injung Kim
Cascaded and Dual: Discrimination Oriented Network for Brain Tumor Classification
Wenxuan Zhang, Dong Zhang, Xinguang Xiang
Cell-aware Stacked LSTMs for Modeling Sentences
Jihun Choi, Taeuk Kim, Sang-goo Lee
Convolutional Neural Collaborative Filtering with Stacked Embeddings
Liu Han, Hailong Wu, Nan Hu et al.
Deep Learning with a Rethinking Structure for Multi-label Classification
Yao-Yuan Yang, Yi-An Lin, Hong-Min Chu et al.
Differentially Private Community Detection in Attributed Social Networks
Tianxi Ji, Changqing Luo, Yifan Guo et al.
Effective Sentence Scoring Method Using BERT for Speech Recognition
Joonbo Shin, Yoonhyung Lee, Kyomin Jung
Efficient Diversified Mini-Batch Selection using Variable High-layer Features
Wanming Huang, Richard Yi Da Xu, Ian Oppermann
Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates
Vidyadhar Upadhya, P S Sastry
Exemplar Based Mixture Models with Censored Data
Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda
FEARS: a Feature and Representation Selection approach for Time Series Classification
Alexis Bondu, Dominique Gay, Vincent Lemaire et al.
Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classification
Bahram K. Baloch, Sateesh Kumar, Sanjay Haresh et al.
Forward and Backward Knowledge Transfer for Sentiment Classification
Hao Wang, Bing Liu, Shuai Wang et al.
Forward-Backward Generative Adversarial Networks for Anomaly Detection
Youngnam Kim, Seungjin Choi
From Implicit to Explicit Feedback: A deep neural network for modeling the sequential behavior of online users
Anh Phan Tuan, Nhat Nguyen Trong, Duong Bui Trong et al.
Functional Isolation Forest
Guillaume Staerman, Pavlo Mozharovskyi, Stephan Clémençon et al.
Fusing Recalibrated Features and Depthwise Separable Convolution for the Mangrove Bird Sound Classification
Chongqin Lei, Weiguo Gong, Zixu Wang
Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension
Marina Gomtsyan, Nikita Mokrov, Maxim Panov et al.
Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening
Merlin Schüler, Hlynur Davíð Hlynsson, Laurenz Wiskott
G-UAP: Generic Universal Adversarial Perturbation that Fools RPN-based Detectors
Xing Wu, Lifeng Huang, Chengying Gao
Hyperbolic Ordinal Embedding
Atsushi Suzuki, Jing Wang, Feng Tian et al.
Improving Relation Classification by Entity Pair Graph
Yi Zhao, Huaiyu Wan, Jianwei Gao et al.
Improving Statute Prediction via Mining Correlations between Statutes
Yi Feng, Chuanyi Li, Jidong Ge et al.
Investigating the effect of novel classes in semi-supervised learning
Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle et al.