Papers
Learning Co-Substructures by Kernel Dependence Maximization
Sho Yokoi, Daichi Mochihashi, Ryo Takahashi et al.
Learning Cross-Modal Deep Representations for Robust Pedestrian Detection
Dan Xu, Wanli Ouyang, Elisa Ricci et al.
Learning Cross-Modal Embeddings for Cooking Recipes and Food Images
Amaia Salvador, Nicholas Hynes, Yusuf Aytar et al.
Learning Data-Efficient Rigid-Body Contact Models: Case Study of Planar Impact
Nima Fazeli, Samuel Zapolsky, Evan Drumwright et al.
Learning Deep Binary Descriptor With Multi-Quantization
Yueqi Duan, Jiwen Lu, Ziwei Wang et al.
Learning Deep CNN Denoiser Prior for Image Restoration
Kai Zhang, Wangmeng Zuo, Shuhang Gu et al.
Learning Deep Context-Aware Features Over Body and Latent Parts for Person Re-Identification
Dangwei Li, Xiaotang Chen, Zhang Zhang et al.
Learning Deep Latent Gaussian Models with Markov Chain Monte Carlo
Matthew D. Hoffman
Learning Deep Match Kernels for Image-Set Classification
Haoliang Sun, Xiantong Zhen, Yuanjie Zheng et al.
Learning Deep Policies for Robot Bin Picking by Simulating Robust Grasping Sequences
Jeffrey Mahler, Ken Goldberg
Learning Deep Semantic Embeddings for Cross-Modal Retrieval
Cuicui Kang, Shengcai Liao, Zhen Li et al.
Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction
Dan Xu, Wanli Ouyang, Xavier Alameda-Pineda et al.
Learning deep structured network for weakly supervised change detection
Salman Khan, Xuming He, Fatih Porikli et al.
Learning Detailed Face Reconstruction From a Single Image
Elad Richardson, Matan Sela, Roy Or-El et al.
Learning Detection With Diverse Proposals
Samaneh Azadi, Jiashi Feng, Trevor Darrell
Learning Determinantal Point Processes with Moments and Cycles
John Urschel, Victor-Emmanuel Brunel, Ankur Moitra et al.
Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders
Tiancheng Zhao, Ran Zhao, Maxine Eskenazi
Learning Discrete Representations via Information Maximizing Self-Augmented Training
Weihua Hu, Takeru Miyato, Seiya Tokui et al.
Learning Discriminative and Transformation Covariant Local Feature Detectors
Xu Zhang, Felix X. Yu, Svebor Karaman et al.
Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation
Yuguang Yan, Wen Li, Michael Ng et al.
Learning Discriminative Recommendation Systems with Side Information
Feipeng Zhao, Yuhong Guo
Learning Disentangled Representations with Semi-Supervised Deep Generative Models
Siddharth N, Brooks Paige, Jan-Willem van de Meent et al.
Learning Disjunctions of Predicates
Nader H. Bshouty, Dana Drachsler-Cohen, Martin Vechev et al.
Learning Diverse Image Colorization
Aditya Deshpande, Jiajun Lu, Mao-Chuang Yeh et al.