Unifying distillation and privileged information

Unifying distillation and privileged information

11 November 2015

David Lopez-Paz

Bernhard Schölkopf

Papers citing "Unifying distillation and privileged information"

16 / 16 papers shown

Title
Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation Chenxi Liu Hao Miao Qianxiong Xu Shaowen Zhou Cheng Long Yan Zhao Ziyue Li Rui Zhao AI4TS 88 5 0 04 May 2025
FLINT: Learning-based Flow Estimation and Temporal Interpolation for Scientific Ensemble Visualization Hamid Gadirov Jos B. T. M. Roerdink Steffen Frey AI4CE 112 1 0 24 Feb 2025
Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Hu Hu Sabato Marco Siniscalchi Chao-Han Huck Yang Chin-Hui Lee 98 0 0 28 Jan 2025
Robust Conformal Prediction Using Privileged Information Shai Feldman Yaniv Romano OOD 320 3 0 10 Jan 2025
Knowledge-enhanced Multi-perspective Video Representation Learning for Scene Recognition Xuzheng Yu Chen Jiang Wei Zhang Tian Gan Linlin Chao Jianan Zhao Yuan Cheng Qingpei Guo Wei Chu 63 0 0 09 Jan 2024
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 238 19,523 0 09 Mar 2015
Learning to Transfer Privileged Information V. Sharmanska Novi Quadrianto Christoph H. Lampert 19 27 0 01 Oct 2014
Mind the Nuisance: Gaussian Process Classification using Privileged Noise Daniel Hernández-Lobato V. Sharmanska Kristian Kersting Christoph H. Lampert Novi Quadrianto 55 41 0 01 Jul 2014
Randomized Nonlinear Component Analysis David Lopez-Paz S. Sra Alex Smola Zoubin Ghahramani Bernhard Schölkopf 88 176 0 01 Feb 2014
Do Deep Nets Really Need to be Deep? Lei Jimmy Ba R. Caruana 148 2,114 0 21 Dec 2013
Learning Using Privileged Information: SVM+ and Weighted SVM Maksim Lapin Matthias Hein Bernt Schiele 34 135 0 13 Jun 2013
Privileged Information for Data Clustering Jan Feyereisl U. Aickelin 28 81 0 31 May 2013
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 552 31,406 0 16 Jan 2013
On Causal and Anticausal Learning Bernhard Schölkopf Dominik Janzing J. Peters Eleni Sgouritsa Kun Zhang Joris Mooij CML 74 604 0 27 Jun 2012
From Machine Learning to Machine Reasoning Léon Bottou LRM ReLM NAI 80 284 0 09 Feb 2011
Causal inference using the algorithmic Markov condition Dominik Janzing Bernhard Schölkopf CML 82 305 0 23 Apr 2008