Papers
1,399 papers found
Linear Algorithms for Online Multitask Classification
Giovanni Cavallanti, Nicoló Cesa-Bianchi, Claudio Gentile
Union Support Recovery in Multi-task Learning
Mladen Kolar, John Lafferty, Larry Wasserman
Multi-task Regression using Minimal Penalties
Matthieu Solnon, Sylvain Arlot, Francis Bach
Multi-Stage Multi-Task Feature Learning
Pinghua Gong, Jieping Ye, Changshui Zhang
Revisiting Stein's Paradox: Multi-Task Averaging
Sergey Feldman, Maya R. Gupta, Bela A. Frigyik
On the Inductive Bias of Dropout
David P. Helmbold, Philip M. Long
The Benefit of Multitask Representation Learning
Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
Trend Filtering on Graphs
Yu-Xiang Wang, James Sharpnack, Alexander J. Smola et al.
On Bayes Risk Lower Bounds
Xi Chen, Adityanand Guntuboyina, Yuchen Zhang
On Markov chain Monte Carlo methods for tall data
Rémi Bardenet, Arnaud Doucet, Chris Holmes
On Tight Bounds for the Lasso
Sara van de Geer
Tensor Train Decomposition on TensorFlow (T3F)
Alexander Novikov, Pavel Izmailov, Valentin Khrulkov et al.
Fast Learning for Renewal Optimization in Online Task Scheduling
Michael J. Neely
Multi-Task Dynamical Systems
Alex Bird, Christopher K. I. Williams, Christopher Hawthorne
On Mixup Regularization
Luigi Carratino, Moustapha Cissé, Rodolphe Jenatton et al.
On Batch Teaching Without Collusion
Shaun Fallat, David Kirkpatrick, Hans U. Simon et al.
Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks
Jun Shu, Deyu Meng, Zongben Xu
LibMTL: A Python Library for Deep Multi-Task Learning
Baijiong Lin, Yu Zhang
Test-Time Training on Video Streams
Renhao Wang, Yu Sun, Arnuv Tandon et al.
Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick
Xiyuan Wang, Pan Li, Muhan Zhang
Geodesic Slice Sampling on the Sphere
Michael Habeck, Mareike Hasenpflug, Shantanu Kodgirwar et al.
Multi-Task Imitation Learning for Linear Dynamical Systems
Thomas T. Zhang, Katie Kang, Bruce D Lee et al.
Towards safe multi-task Bayesian optimization
Jannis Lübsen, Christian Hespe, Annika Eichler
Video pretraining advances 3D deep learning on chest CT tasks
Alexander Ke, Shih-Cheng Huang, Chloe P O’Connell et al.
Multi-task Prediction of Disease Onsets from Longitudinal Laboratory Tests
Narges Razavian, Jake Marcus, David Sontag