Papers
Learning Explanations from Language Data
David Harbecke, Robert Schwarzenberg, Christoph Alt
Learning Explanatory Rules from Noisy Data (Extended Abstract)
Richard Evans, Edward Grefenstette
Learning Face Age Progression: A Pyramid Architecture of GANs
Hongyu Yang, Di Huang, Yunhong Wang et al.
Learning Facial Action Units From Web Images With Scalable Weakly Supervised Clustering
Kaili Zhao, Wen-Sheng Chu, Aleix M. Martinez
Learning filter widths of spectral decompositions with wavelets
Haidar Khan, Bulent Yener
Learning for Disparity Estimation Through Feature Constancy
Zhengfa Liang, Yiliu Feng, Yulan Guo et al.
Learning from Between-class Examples for Deep Sound Recognition
Yuji Tokozume, Yoshitaka Ushiku, Tatsuya Harada
Learning from Chunk-based Feedback in Neural Machine Translation
Pavel Petrushkov, Shahram Khadivi, Evgeny Matusov
Learning from Comparisons and Choices
Sahand Negahban, Sewoong Oh, Kiran K. Thekumparampil et al.
Learning from discriminative feature feedback
Sanjoy Dasgupta, Akansha Dey, Nicholas Roberts et al.
Learning from Group Comparisons: Exploiting Higher Order Interactions
Yao Li, Minhao Cheng, Kevin Fujii et al.
Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types
Paul Felt, Eric Ringger, Jordan Boyd-Graber et al.
Learning From Millions of 3D Scans for Large-Scale 3D Face Recognition
Syed Zulqarnain Gilani, Ajmal Mian
Learning From Noisy Singly-labeled Data
Ashish Khetan, Zachary C. Lipton, Animashree Anandkumar
Learning From Noisy Web Data With Category-Level Supervision
Li Niu, Qingtao Tang, Ashok Veeraraghavan et al.
Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation
Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain et al.
Learning from the experts: From expert systems to machine-learned diagnosis models
Murali Ravuri, Anitha Kannan, Geoffrey J. Tso et al.
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds
David Reeb, Andreas Doerr, Sebastian Gerwinn et al.
Learning Gender-Neutral Word Embeddings
Jieyu Zhao, Yichao Zhou, Zeyu Li et al.
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Sandeep Subramanian, Adam Trischler, Yoshua Bengio et al.
Learning Generative ConvNets via Multi-Grid Modeling and Sampling
Ruiqi Gao, Yang Lu, Junpei Zhou et al.
Learning Generative Models with Sinkhorn Divergences
Aude Genevay, Gabriel Peyre, Marco Cuturi
Learning Globally Optimized Object Detector via Policy Gradient
Yongming Rao, Dahua Lin, Jiwen Lu et al.
Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling
Kejun Huang, Xiao Fu, Nicholas Sidiropoulos