Papers
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction
Ajay Jain, Sergio Casas, Renjie Liao et al.
Discrete Social Recommendation
Chenghao Liu, Xin Wang, Tao Lu et al.
Discrete Trust-aware Matrix Factorization for Fast Recommendation
Guibing Guo, Enneng Yang, Li Shen et al.
Discriminating between Mandarin Chinese and Swiss-German varieties using adaptive language models
Tommi Jauhiainen, Krister Lindén, Heidi Jauhiainen
Discrimination in Online Markets: Effects of Social Bias on Learning from Reviews and Policy Design
Faidra Georgia Monachou, Itai Ashlagi
Discriminative and Correlative Partial Multi-Label Learning
Haobo Wang, Weiwei Liu, Yang Zhao et al.
Discriminative Feature Learning for Unsupervised Video Summarization
Yunjae Jung, Donghyeon Cho, Dahun Kim et al.
Discriminative Feature Learning With Consistent Attention Regularization for Person Re-Identification
Sanping Zhou, Fei Wang, Zeyi Huang et al.
Discriminative Feature Transformation for Occluded Pedestrian Detection
Chunluan Zhou, Ming Yang, Junsong Yuan
Discriminative Learning for Monaural Speech Separation Using Deep Embedding Features
Cunhang Fan, Bin Liu, Jianhua Tao et al.
Discriminatively Learned Convex Models for Set Based Face Recognition
Hakan Cevikalp, Golara Ghorban Dordinejad
Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography
Andrew Miller, Ziad Obermeyer, John Cunningham et al.
Discriminative Sample Generation for Deep Imbalanced Learning
Ting Guo, Xingquan Zhu, Yang Wang et al.
Discriminative Topic Modeling with Logistic LDA
Iryna Korshunova, Hanchen Xiong, Mateusz Fedoryszak et al.
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning
Ilya Kostrikov, Kumar Krishna Agrawal, Debidatta Dwibedi et al.
Discriminator optimal transport
Akinori Tanaka
Discriminator Rejection Sampling
Samaneh Azadi, Catherine Olsson, Trevor Darrell et al.
Disentangled behavioural representations
Amir Dezfouli, Hassan Ashtiani, Omar Ghattas et al.
Disentangled Graph Convolutional Networks
Jianxin Ma, Peng Cui, Kun Kuang et al.
Disentangled Image Matting
Shaofan Cai, Xiaoshuai Zhang, Haoqiang Fan et al.
Disentangled Relational Representations for Explaining and Learning from Demonstration
Yordan Hristov, Daniel Angelov, Michael Burke et al.
Disentangled Representation Learning for 3D Face Shape
Zi-Hang Jiang, Qianyi Wu, Keyu Chen et al.
Disentangled Representation Learning for Non-Parallel Text Style Transfer
Vineet John, Lili Mou, Hareesh Bahuleyan et al.
Disentangled Variational Representation for Heterogeneous Face Recognition
Xiang Wu, Huaibo Huang, Vishal M. Patel et al.
Disentangling Adversarial Robustness and Generalization
David Stutz, Matthias Hein, Bernt Schiele