Papers
Multiple Output Regression with Latent Noise
Jussi Gillberg, Pekka Marttinen, Matti Pirinen et al.
Multiple-Play Bandits in the Position-Based Model
Paul Lagrée, Claire Vernade, Olivier Cappe
Multiplicative Multitask Feature Learning
Xin Wang, Jinbo Bi, Shipeng Yu et al.
Multiplicative Representations for Unsupervised Semantic Role Induction
Yi Luan, Yangfeng Ji, Hannaneh Hajishirzi et al.
Multiresolution Matrix Compression
Nedelina Teneva, Pramod Kaushik Mudrakarta, Risi Kondor
Multiscale Adaptive Representation of Signals: I. The Basic Framework
Cheng Tai, Weinan E
Multi-scale Classification using Localized Spatial Depth
Subhajit Dutta, Soham Sarkar, Anil K. Ghosh
Multiscale Dictionary Learning: Non-Asymptotic Bounds and Robustness
Mauro Maggioni, Stanislav Minsker, Nate Strawn
Multi-scale exploration of convex functions and bandit convex optimization
Sébastien Bubeck, Ronen Eldan
Multi-Scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation
Shu Liu, Xiaojuan Qi, Jianping Shi et al.
Multi-Source Iterative Adaptation for Cross-Domain Classification
Himanshu S. Bhatt, Arun Rajkumar, Shourya Roy
Multi-Source Neural Translation
Barret Zoph, Kevin Knight
Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization
Qi Xie, Qian Zhao, Deyu Meng et al.
Multistage Campaigning in Social Networks
Mehrdad Farajtabar, Xiaojing Ye, Sahar Harati et al.
Multi-Talker Speech Recognition Based on Blind Source Separation with ad hoc Microphone Array Using Smartphones and Cloud Storage
Keiko Ochi, Nobutaka Ono, Shigeki Miyabe et al.
Multi-Task Learning and Weighted Cross-Entropy for DNN-Based Keyword Spotting
Sankaran Panchapagesan, Ming Sun, Aparna Khare et al.
Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling
Neeraja J. Yadwadkar, Bharath Hariharan, Joseph E. Gonzalez et al.
Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy
Bilal Ahmed, Thomas Thesen, Karen Blackmon et al.
Multi-task Prediction of Disease Onsets from Longitudinal Laboratory Tests
Narges Razavian, Jake Marcus, David Sontag
Multitask Principal Component Analysis
Ikko Yamane, Florian Yger, Maxime Berar et al.
Multi-task Sparse Structure Learning with Gaussian Copula Models
André R. Gonçalves, Fernando J. Von Zuben, Arindam Banerjee
Multivariate Regression on the Grassmannian for Predicting Novel Domains
Yongxin Yang, Timothy M. Hospedales
Multivariate Spearman's $\rho$ for Aggregating Ranks Using Copulas
Justin Bedő, Cheng Soon Ong