Papers
Learning Attentive Pairwise Interaction for Fine-Grained Classification
Peiqin Zhuang, Yali Wang, Yu Qiao
Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching
Yunsheng Bai, Hao Ding, Ken Gu et al.
Learning Conceptual-Contextual Embeddings for Medical Text
Xiao Zhang, Dejing Dou, Ji Wu
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves
Patrick Schwab, Lorenz Linhardt, Stefan Bauer et al.
Learning Cross-Aligned Latent Embeddings for Zero-Shot Cross-Modal Retrieval
Kaiyi Lin, Xing Xu, Lianli Gao et al.
Learning Cross-Modal Context Graph for Visual Grounding
Yongfei Liu, Bo Wan, Xiaodan Zhu et al.
Learning Deep Relations to Promote Saliency Detection
Changrui Chen, Xin Sun, Yang Hua et al.
Learning Directional Sentence-Pair Embedding for Natural Language Reasoning (Student Abstract)
Yuchen Jiang, Zhenxin Xiao, Kai-Wei Chang
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions
Zhenyi Wang, Ping Yu, Yang Zhao et al.
Learning Efficient Representations for Fake Speech Detection
Nishant Subramani, Delip Rao
Learning End-to-End Scene Flow by Distilling Single Tasks Knowledge
Filippo Aleotti, Matteo Poggi, Fabio Tosi et al.
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns
YooJung Choi, Golnoosh Farnadi, Behrouz Babaki et al.
Learning Feature Interactions with Lorentzian Factorization Machine
Canran Xu, Ming Wu
Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation
Hengyi Cai, Hongshen Chen, Cheng Zhang et al.
Learning from Interventions Using Hierarchical Policies for Safe Learning
Jing Bi, Vikas Dhiman, Tianyou Xiao et al.
Learning from Positive and Unlabeled Data without Explicit Estimation of Class Prior
Chenguang Zhang, Yuexian Hou, Yan Zhang
Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks
Yadan Luo, Zi Huang, Zheng Zhang et al.
Learning from Weak-Label Data: A Deep Forest Expedition
Qian-Wei Wang, Liang Yang, Yu-Feng Li
Learning General Latent-Variable Graphical Models with Predictive Belief Propagation
Borui Wang, Geoffrey Gordon
Learning Geo-Contextual Embeddings for Commuting Flow Prediction
Zhicheng Liu, Fabio Miranda, Weiting Xiong et al.
Learning Graph Convolutional Network for Skeleton-Based Human Action Recognition by Neural Searching
Wei Peng, Xiaopeng Hong, Haoyu Chen et al.
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang et al.
Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume
Qingshan Xu, Wenbing Tao
Learning Light Field Angular Super-Resolution via a Geometry-Aware Network
Jing Jin, Junhui Hou, Hui Yuan et al.
Learning Long- and Short-Term User Literal-Preference with Multimodal Hierarchical Transformer Network for Personalized Image Caption
Wei Zhang, Yue Ying, Pan Lu et al.