Papers
Large Margin Discriminant Dimensionality Reduction in Prediction Space
Mohammad Saberian, Jose Costa Pereira, Can Xu et al.
Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu, Yandong Wen, Zhiding Yu et al.
Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting
Amin Jourabloo, Xiaoming Liu
Large Scale Distributed Semi-Supervised Learning Using Streaming Approximation
Sujith Ravi, Qiming Diao
Large Scale Hard Sample Mining With Monte Carlo Tree Search
Olivier Canevet, Francois Fleuret
Large-Scale Location Recognition and the Geometric Burstiness Problem
Torsten Sattler, Michal Havlena, Konrad Schindler et al.
Large-scale Multi-class and Hierarchical Product Categorization for an E-commerce Giant
Ali Cevahir, Koji Murakami
Large Scale Online Kernel Learning
Jing Lu, Steven C.H. Hoi, Jialei Wang et al.
Large-Scale Optimization Algorithms for Sparse Conditional Gaussian Graphical Models
Calvin McCarter, Seyoung Kim
Large-Scale Price Optimization via Network Flow
Shinji Ito, Ryohei Fujimaki
Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-Resolution Model for Multi-Class Volumetric Labeling
Maros Blaha, Christoph Vogel, Audrey Richard et al.
Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer
Yuxing Tang, Josiah Wang, Boyang Gao et al.
Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning
Judy Hoffman, Deepak Pathak, Eric Tzeng et al.
Latent Attention For If-Then Program Synthesis
Chang Liu, Xinyun Chen, Eui Chul Shin et al.
Latent Embeddings for Zero-Shot Classification
Yongqin Xian, Zeynep Akata, Gaurav Sharma et al.
Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition
Yandong Wen, Zhifeng Li, Yu Qiao
Latent Point Process Allocation
Chris Lloyd, Tom Gunter, Michael Osborne et al.
Latent Space Inference of Internet-Scale Networks
Qirong Ho, Junming Yin, Eric P. Xing
Latent Topic Embedding
Di Jiang, Lei Shi, Rongzhong Lian et al.
Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP)
Won Hwa Kim, Hyunwoo J. Kim, Nagesh Adluru et al.
LatticeRnn: Recurrent Neural Networks Over Lattices
Faisal Ladhak, Ankur Gandhe, Markus Dreyer et al.
Laughter Valence Prediction in Motivational Interviewing Based on Lexical and Acoustic Cues
Rahul Gupta, Nishant Nath, Taruna Agrawal et al.
Launch and Iterate: Reducing Prediction Churn
Mahdi Milani Fard, Quentin Cormier, Kevin Canini et al.
Layered Scene Decomposition via the Occlusion-CRF
Chen Liu, Pushmeet Kohli, Yasutaka Furukawa
LazySVD: Even Faster SVD Decomposition Yet Without Agonizing Pain
Zeyuan Allen-Zhu, Yuanzhi Li