Papers
Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences
Chi Jin, Yuchen Zhang, Sivaraman Balakrishnan et al.
Local Minimax Complexity of Stochastic Convex Optimization
sabyasachi chatterjee, John C. Duchi, John Lafferty et al.
Local Network Community Detection with Continuous Optimization of Conductance and Weighted Kernel K-Means
Twan van Laarhoven, Elena Marchiori
Local Similarity-Aware Deep Feature Embedding
Chen Huang, Chen Change Loy, Xiaoou Tang
LocNet: Improving Localization Accuracy for Object Detection
Spyros Gidaris, Nikos Komodakis
Logic-Based Inductive Synthesis of Efficient Programs
Andrew Cropper
Logistic Boosting Regression for Label Distribution Learning
Chao Xing, Xin Geng, Hui Xue
Log-Linear System Combination Using Structured Support Vector Machines
J. Yang, Anton Ragni, Mark J.F. Gales et al.
LOMo: Latent Ordinal Model for Facial Analysis in Videos
Karan Sikka, Gaurav Sharma, Marian Bartlett
Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines
Chi Nhan Duong, Khoa Luu, Kha Gia Quach et al.
Long-Short Range Context Neural Networks for Language Modeling
Youssef Oualil, Mittul Singh, Clayton Greenberg et al.
Long Short-Term Memory for Speaker Generalization in Supervised Speech Separation
Jitong Chen, DeLiang Wang
Long Short-term Memory Network over Rhetorical Structure Theory for Sentence-level Sentiment Analysis
Xianghua Fu, Wangwang Liu, Yingying Xu et al.
Long Short-Term Memory-Networks for Machine Reading
Jianpeng Cheng, Li Dong, Mirella Lapata
Long-term Causal Effects via Behavioral Game Theory
Panagiotis Toulis, David C. Parkes
Long-Term Stability of Tracheoesophageal Voices
Klaske E. van Sluis, Michiel W.M. van den Brekel, Frans J.M. Hilgers et al.
Loss Bounds and Time Complexity for Speed Priors
Daniel Filan, Jan Leike, Marcus Hutter
Loss factorization, weakly supervised learning and label noise robustness
Giorgio Patrini, Frank Nielsen, Richard Nock et al.
Loss Functions for Top-k Error: Analysis and Insights
Maksim Lapin, Matthias Hein, Bernt Schiele
Loss Minimization and Parameter Estimation with Heavy Tails
Daniel Hsu, Sivan Sabato
Lower Frame Rate Neural Network Acoustic Models
Golan Pundak, Tara N. Sainath
Low-Rank and Sparse Structure Pursuit via Alternating Minimization
Quanquan Gu, Zhaoran Wang Wang, Han Liu
Low-Rank Approximation of Weighted Tree Automata
Guillaume Rabusseau, Borja Balle, Shay Cohen