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Knowledge-Adaptation Priors

16 June 2021

Mohammad Emtiyaz Khan

Papers citing "Knowledge-Adaptation Priors"

32 / 32 papers shown

Title
Challenges in Deploying Machine Learning: a Survey of Case Studies Andrei Paleyes Raoul-Gabriel Urma Neil D. Lawrence 64 403 0 18 Nov 2020
Variational Bayesian Unlearning Q. Nguyen Bryan Kian Hsiang Low Patrick Jaillet BDL MU 82 128 0 24 Oct 2020
Machine Unlearning for Random Forests Jonathan Brophy Daniel Lowd MU 70 162 0 11 Sep 2020
Predictive Complexity Priors Eric T. Nalisnick Jonathan Gordon José Miguel Hernández-Lobato BDL UQCV 48 19 0 18 Jun 2020
Continual Deep Learning by Functional Regularisation of Memorable Past Pingbo Pan S. Swaroop Alexander Immer Runa Eschenhagen Richard Turner Mohammad Emtiyaz Khan KELM CLL 52 143 0 29 Apr 2020
Dark Experience for General Continual Learning: a Strong, Simple Baseline Pietro Buzzega Matteo Boschini Angelo Porrello Davide Abati Simone Calderara BDL CLL 85 921 0 15 Apr 2020
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Stefano Soatto CLL MU 78 503 0 12 Nov 2019
Certified Data Removal from Machine Learning Models Chuan Guo Tom Goldstein Awni Y. Hannun Laurens van der Maaten MU 110 450 0 08 Nov 2019
Online Continual Learning with Maximally Interfered Retrieval Rahaf Aljundi Lucas Caccia Eugene Belilovsky Massimo Caccia Min Lin Laurent Charlin Tinne Tuytelaars CLL 76 547 0 11 Aug 2019
Making AI Forget You: Data Deletion in Machine Learning Antonio A. Ginart M. Guan Gregory Valiant James Zou MU 81 480 0 11 Jul 2019
Gradient based sample selection for online continual learning Rahaf Aljundi Min Lin Baptiste Goujaud Yoshua Bengio BDL CLL 104 837 0 20 Mar 2019
Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret Daniele Calandriello Luigi Carratino A. Lazaric Michal Valko Lorenzo Rosasco GP 43 0 0 13 Mar 2019
Continual Learning in Practice Tom Diethe Tom Borchert Eno Thereska Borja Balle Neil D. Lawrence CLL 53 75 0 12 Mar 2019
Functional Regularisation for Continual Learning with Gaussian Processes Michalis K. Titsias Jonathan Richard Schwarz A. G. Matthews Razvan Pascanu Yee Whye Teh CLL BDL 65 186 0 31 Jan 2019
Infinite-Horizon Gaussian Processes Arno Solin J. Hensman Richard Turner 41 28 0 15 Nov 2018
Measuring and regularizing networks in function space Ari S. Benjamin David Rolnick Konrad Paul Kording 51 140 0 21 May 2018
Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting H. Ritter Aleksandar Botev David Barber BDL CLL 89 334 0 20 May 2018
Progress & Compress: A scalable framework for continual learning Jonathan Richard Schwarz Jelena Luketina Wojciech M. Czarnecki A. Grabska-Barwinska Yee Whye Teh Razvan Pascanu R. Hadsell CLL 125 889 0 16 May 2018
Variational Continual Learning Cuong V Nguyen Yingzhen Li T. Bui Richard Turner CLL VLM BDL 92 734 0 29 Oct 2017
Adaptive SVM+: Learning with Privileged Information for Domain Adaptation N. Sarafianos Michalis Vrigkas I. Kakadiaris 71 22 0 30 Aug 2017
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 127 2,735 0 26 Jun 2017
Overcoming Catastrophic Forgetting by Incremental Moment Matching Sang-Woo Lee Jin-Hwa Kim Jaehyun Jun Jung-Woo Ha Byoung-Tak Zhang CLL 72 679 0 24 Mar 2017
Knowledge Adaptation: Teaching to Adapt Sebastian Ruder Parsa Ghaffari J. Breslin CLL TTA 56 53 0 07 Feb 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 372 7,561 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 160 3,774 0 23 Nov 2016
Improving Efficiency of SVM k-fold Cross-validation by Alpha Seeding Zeyi Wen Bin Li K. Ramamohanarao Jian Chen Yawen Chen Rui Zhang 33 23 0 23 Nov 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 304 4,428 0 29 Jun 2016
Unifying distillation and privileged information David Lopez-Paz Léon Bottou Bernhard Schölkopf V. Vapnik FedML 169 463 0 11 Nov 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 364 19,723 0 09 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014
New insights and perspectives on the natural gradient method James Martens ODL 76 630 0 03 Dec 2014
Fast Randomized Kernel Methods With Statistical Guarantees A. Alaoui Michael W. Mahoney 99 90 0 02 Nov 2014