Link

Time Series

• 计划阅读 A new attention mechanism to classify multivariate time series

  Yifan Hao, Huiping Cao

• The Squawk Bot: Joint Learning of Time Series and Text Data Modalities for Automated Financial Information Filtering

  Xuan-Hong Dang, Syed Yousaf Shah, Petros Zerfos

• A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis

  Lu Bai, Lixin Cui, Yue Wang, Yuhang Jiao, Edwin R. Hancock

• WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series

  Michael Poli, Jinkyoo Park, Ilija Ilievski

• Fair Division of Time: Multi-layered Cake Cutting

  Hadi Hosseini, Ayumi Igarashi, Andrew Searns

• A new attention mechanism to classify multivariate time series

  Yifan Hao, Huiping Cao

• Joint Time-Frequency and Time Domain Learning for Speech Enhancement

  Chuanxin Tang, Chong Luo, Zhiyuan Zhao, Wenxuan Xie, Wenjun Zeng

• Generating Robust Audio Adversarial Examples with Temporal Dependency

  Hongting Zhang, Pan Zhou, Qiben Yan, Xiao-Yang Liu

missing value

• A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data

  Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong

Recurrent

• A Structured Latent Variable Recurrent Network with Stochastic Attention for Generating Weibo Comments

  Shijie Yang, Liang Li, Shuhui Wang, Weigang Zhang, Qingming Huang, Qi Tian

• Recurrent Relational Memory Network for Unsupervised Image Captioning

  Dan Guo, Yang Wang, Peipei Song, Meng Wang

• Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling

  Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Zheng Yu, Scott A. Sisson

Sequence

• Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling

  Daniel Stoller, Mi Tian, Sebastian Ewert, Simon Dixon

• Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video Description

  Kai Shen, Lingfei Wu, Fangli Xu, Siliang Tang, Jun Xiao, Yueting Zhuang

• Discovering Subsequence Patterns for Next POI Recommendation

  Kangzhi Zhao, Yong Zhang, Hongzhi Yin, Jin Wang, Kai Zheng, Xiaofang Zhou, Chunxiao Xing

• Multi-Scale Group Transformer for Long Sequence Modeling in Speech Separation

  Yucheng Zhao, Chong Luo, Zheng-Jun Zha, Wenjun Zeng

Anomaly Detection

• Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection

  Zhen Wang, Chao Lan

• Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction

  Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo

• Inductive Anomaly Detection on Attributed Networks

  Kaize Ding, Jundong Li, Nitin Agarwal, Huan Liu

• Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact

  Adam Goodge, Bryan Hooi, See Kiong Ng, Wee Siong Ng

Interpretable

• Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability

  Deng Pan, Xiangrui Li, Xin Li, Dongxiao Zhu

• Interpretable Models for Understanding Immersive Simulations

  Nicholas Hoernle, Kobi Gal, Barbara Grosz, Leilah Lyons, Ada Ren, Andee Rubin

• Learning Interpretable Models in the Property Specification Language

  Rajarshi Roy, Dana Fisman, Daniel Neider

• Learning Interpretable Representations with Informative Entanglements

  Ege Beyazıt, Doruk Tuncel, Xu Yuan, Nian-Feng Tzeng, Xindong Wu

• Logic Constrained Pointer Networks for Interpretable Textual Similarity

  Subhadeep Maji, Rohan Kumar, Manish Bansal, Kalyani Roy, Pawan Goyal

• Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling

  Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Zheng Yu, Scott A. Sisson

• Generating Interpretable Poverty Maps using Object Detection in Satellite Images

  Kumar Ayush, Burak Uzkent, Marshall Burke, David Lobell, Stefano Ermon

• Interpretable Multimodal Learning for Intelligent Regulation in Online Payment Systems

  Shuoyao Wang, Diwei Zhu

Autoencoder

• Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error

  Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, Edward McFowland

• Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder

  Li’ang Yin, Yunfei Liu, Weinan Zhang, Yong Yu

• Diffusion Variational Autoencoders

  Luis A. Perez Rey, Vlado Menkovski, Jim Portegies

• Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model

  Junwen Bai, Shufeng Kong, Carla Gomes

LSTM

• PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction

  Feng Zhang, Ningxuan Feng, Yani Liu, Cheng Yang, Jidong Zhai, Shuhao Zhang, Bingsheng He, Jiazao Lin, Xiaoyong Du

Data augmentation

• Stochastic Batch Augmentation with An Effective Distilled Dynamic Soft Label Regularizer

  Qian Li, Qingyuan Hu, Yong Qi, Saiyu Qi, Jie Ma, Jian Zhang

• CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP

  Libo Qin, Minheng Ni, Yue Zhang, Wanxiang Che

• Lexical-Constraint-Aware Neural Machine Translation via Data Augmentation

  Guanhua Chen, Yun Chen, Yong Wang, Victor O.K. Li