Papers
Learning With Dataset Bias in Latent Subcategory Models
Dimitris Stamos, Samuele Martelli, Moin Nabi et al.
Learning with Group Invariant Features: A Kernel Perspective.
Youssef Mroueh, Stephen Voinea, Tomaso A Poggio
Learning with Incremental Iterative Regularization
Lorenzo Rosasco, Silvia Villa
Learning with Relaxed Supervision
Jacob Steinhardt, Percy Liang
Learning with Square Loss: Localization through Offset Rademacher Complexity
Tengyuan Liang, Alexander Rakhlin, Karthik Sridharan
Learning with Symmetric Label Noise: The Importance of Being Unhinged
Brendan van Rooyen, Aditya Menon, Robert C. Williamson
Learning with the Maximum Correntropy Criterion Induced Losses for Regression
Yunlong Feng, Xiaolin Huang, Lei Shi et al.
Learning Word Representations with Hierarchical Sparse Coding
Dani Yogatama, Manaal Faruqui, Chris Dyer et al.
Leave-One-Out Kernel Optimization for Shadow Detection
Tomas F. Yago Vicente, Minh Hoai, Dimitris Samaras
Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions
Sven Bambach, Stefan Lee, David J. Crandall et al.
Less is More: Nyström Computational Regularization
Alessandro Rudi, Raffaello Camoriano, Lorenzo Rosasco
Leveraging Cone Double Description for Multi-contact Stability of Humanoids with Applications to Statics and Dynamics
Stephane Caron, Quang Cuong Pham, Yoshihiko Nakamura
Leveraging Datasets With Varying Annotations for Face Alignment via Deep Regression Network
Jie Zhang, Meina Kan, Shiguang Shan et al.
Leveraging Stereo Matching With Learning-Based Confidence Measures
Min-Gyu Park, Kuk-Jin Yoon
LEWIS: Latent Embeddings for Word Images and their Semantics
Albert Gordo, Jon Almazan, Naila Murray et al.
Lifelong Learning with Non-i.i.d. Tasks
Anastasia Pentina, Christoph H. Lampert
Lifted Inference Rules With Constraints
Happy Mittal, Anuj Mahajan, Vibhav G Gogate et al.
Lifted Symmetry Detection and Breaking for MAP Inference
Timothy Kopp, Parag Singla, Henry Kautz
Light Field From Micro-Baseline Image Pair
Zhoutong Zhang, Yebin Liu, Qionghai Dai
Light Field Layer Matting
Juliet Fiss, Brian Curless, Rick Szeliski
Linear Dimensionality Reduction: Survey, Insights, and Generalizations
John P. Cunningham, Zoubin Ghahramani
Linearization to Nonlinear Learning for Visual Tracking
Bo Ma, Hongwei Hu, Jianbing Shen et al.
Linear Multi-Resource Allocation with Semi-Bandit Feedback
Tor Lattimore, Koby Crammer, Csaba Szepesvari
Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes
Ryan J Giordano, Tamara Broderick, Michael I Jordan
Line-Based Multi-Label Energy Optimization for Fisheye Image Rectification and Calibration
Mi Zhang, Jian Yao, Menghan Xia et al.