Title
SAFE: Spectral Evolution Analysis Feature Extraction for Non-Stationary Time Series Prediction Arief B. Koesdwiady Fakhri Karray AI4TS 20 1 0 04 Mar 2018
Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift Ruijia Xu Ziliang Chen W. Zuo Junjie Yan Liang Lin OOD 21 384 0 02 Mar 2018
Memory-based Parameter Adaptation Pablo Sprechmann Siddhant M. Jayakumar Jack W. Rae Alexander Pritzel Adria Puigdomenech Badia Benigno Uria Oriol Vinyals Demis Hassabis Razvan Pascanu Charles Blundell ODL OOD VLM 16 101 0 28 Feb 2018
Selective Experience Replay for Lifelong Learning David Isele Akansel Cosgun CLL 29 449 0 28 Feb 2018
Learning Multiple Categories on Deep Convolution Networks Mohamed Hajaj D. Gillies SSL 19 0 0 21 Feb 2018
Continual Lifelong Learning with Neural Networks: A Review G. I. Parisi Ronald Kemker Jose L. Part Christopher Kanan S. Wermter KELM CLL 50 2,837 0 21 Feb 2018
Bayesian Incremental Learning for Deep Neural Networks Max Kochurov T. Garipov D. Podoprikhin Dmitry Molchanov Arsenii Ashukha Dmitry Vetrov OOD CLL BDL 15 22 0 20 Feb 2018
Continual Reinforcement Learning with Complex Synapses Christos Kaplanis Murray Shanahan Claudia Clopath KELM 14 87 0 20 Feb 2018
Disjoint Multi-task Learning between Heterogeneous Human-centric Tasks Dong-Jin Kim Jinsoo Choi Tae-Hyun Oh Youngjin Yoon In So Kweon 24 27 0 14 Feb 2018
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control Glen Berseth Kevin Xie Paul Cernek M. van de Panne 29 56 0 13 Feb 2018
Learning Robust and Adaptive Real-World Continuous Control Using Simulation and Transfer Learning M. Ferguson K. Law 8 2 0 13 Feb 2018
Pseudo-Recursal: Solving the Catastrophic Forgetting Problem in Deep Neural Networks C. Atkinson B. McCane Lech Szymanski Anthony Robins CLL 13 76 0 12 Feb 2018
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting Xialei Liu Marc Masana Luis Herranz Joost van de Weijer Antonio M. López Andrew D. Bagdanov CLL 34 269 0 08 Feb 2018
Digital Watermarking for Deep Neural Networks Yuki Nagai Yusuke Uchida S. Sakazawa Shiníchi Satoh WIGM 31 143 0 06 Feb 2018
Explicit Inductive Bias for Transfer Learning with Convolutional Networks Xuhong Li Yves Grandvalet Franck Davoine SSL 24 348 0 05 Feb 2018
Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilization Nicolas Y. Masse Gregory D. Grant David J. Freedman 27 279 0 02 Feb 2018
Incremental Classifier Learning with Generative Adversarial Networks Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Zhengyou Zhang Y. Fu GAN 29 108 0 02 Feb 2018
Sometimes You Want to Go Where Everybody Knows your Name Reuben Brasher Nat Roth Justin Wagle 25 0 0 30 Jan 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence Arslan Chaudhry P. Dokania Thalaiyasingam Ajanthan Philip Torr CLL 38 1,116 0 30 Jan 2018
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights Arun Mallya Dillon Davis Svetlana Lazebnik CLL 15 35 0 19 Jan 2018
Solutions to problems with deep learning J. Wolff 32 10 0 08 Jan 2018
Overcoming catastrophic forgetting with hard attention to the task Joan Serrà Dídac Surís M. Miron Alexandros Karatzoglou CLL 41 1,050 0 04 Jan 2018
Toward Continual Learning for Conversational Agents Sungjin Lee 25 41 0 28 Dec 2017
Rapid Adaptation with Conditionally Shifted Neurons Tsendsuren Munkhdalai Xingdi Yuan Soroush Mehri Adam Trischler 21 13 0 28 Dec 2017
Pseudorehearsal in actor-critic agents with neural network function approximation Vladimir Marochko Leonard Johard Manuel Mazzara Luca Longo 17 2 0 20 Dec 2017
Differentially Private Distributed Learning for Language Modeling Tasks Vadim Popov Mikhail Kudinov Irina Piontkovskaya Petr Vytovtov A. Nevidomsky FedML 38 3 0 20 Dec 2017
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents Edoardo Conti Vashisht Madhavan F. Such Joel Lehman Kenneth O. Stanley Jeff Clune 13 342 0 18 Dec 2017
On Quadratic Penalties in Elastic Weight Consolidation Ferenc Huszár 17 98 0 11 Dec 2017
Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing Syed Shakib Sarwar Aayush Ankit Kaushik Roy CLL 37 109 0 07 Dec 2017
Transferring Autonomous Driving Knowledge on Simulated and Real Intersections David Isele Akansel Cosgun 20 20 0 30 Nov 2017
FearNet: Brain-Inspired Model for Incremental Learning Ronald Kemker Christopher Kanan CLL 41 475 0 28 Nov 2017
Memory Aware Synapses: Learning what (not) to forget Rahaf Aljundi F. Babiloni Mohamed Elhoseiny Marcus Rohrbach Tinne Tuytelaars KELM CLL 52 1,596 0 27 Nov 2017
Critical Learning Periods in Deep Neural Networks Alessandro Achille Matteo Rovere Stefano Soatto 31 99 0 24 Nov 2017
Visual Question Answering as a Meta Learning Task Damien Teney Anton Van Den Hengel OOD 42 42 0 22 Nov 2017
Modular Continual Learning in a Unified Visual Environment Kevin T. Feigelis Blue Sheffer Daniel L. K. Yamins 15 0 0 20 Nov 2017
How morphological development can guide evolution Sam Kriegman Nick Cheney Josh Bongard 34 95 0 20 Nov 2017
Scalable Recollections for Continual Lifelong Learning Matthew D Riemer Tim Klinger Djallel Bouneffouf M. Franceschini CLL 24 62 0 17 Nov 2017
Hindsight policy gradients Paulo E. Rauber Avinash Ummadisingu Filipe Wall Mutz J. Schmidhuber 30 68 0 16 Nov 2017
Less-forgetful Learning for Domain Expansion in Deep Neural Networks Heechul Jung Jeongwoo Ju Minju Jung Junmo Kim CLL OOD 46 69 0 16 Nov 2017
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning Arun Mallya Svetlana Lazebnik CLL 56 1,274 0 15 Nov 2017
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems Zachary Chase Lipton Xiujun Li Jianfeng Gao Lihong Li Faisal Ahmed Li Deng 25 172 0 15 Nov 2017
Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory Ron Amit Ron Meir BDL MLT 32 175 0 03 Nov 2017
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering Elliot Meyerson Risto Miikkulainen MoE 29 92 0 31 Oct 2017
Transfer Learning to Learn with Multitask Neural Model Search Catherine Wong Andrea Gesmundo 19 5 0 30 Oct 2017
Variational Continual Learning Cuong V Nguyen Yingzhen Li T. Bui Richard Turner CLL VLM BDL 36 728 0 29 Oct 2017
Deep Generative Dual Memory Network for Continual Learning Nitin Kamra Umang Gupta Yan Liu BDL 24 153 0 28 Oct 2017
Generalization Tower Network: A Novel Deep Neural Network Architecture for Multi-Task Learning Yuhang Song Mai Xu Songyang Zhang Liangyu Huo 26 3 0 27 Oct 2017
Superposed Episodic and Semantic Memory via Sparse Distributed Representation Rod Rinkus Jasmin Léveillé 11 2 0 21 Oct 2017
Bayesian Hypernetworks David M. Krueger Chin-Wei Huang Riashat Islam Ryan Turner Alexandre Lacoste Aaron Courville UQCV BDL 27 139 0 13 Oct 2017
Multi-task Learning with Gradient Guided Policy Specialization Wenhao Yu Chenxi Liu Greg Turk 23 2 0 23 Sep 2017