PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

15 November 2017

Papers citing "PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning"

50 / 735 papers shown

Title
Incremental Task Learning with Incremental Rank Updates Rakib Hyder Ken Shao Boyu Hou P. Markopoulos Ashley Prater-Bennette Ulugbek S. Kamilov CLL 16 13 0 19 Jul 2022
The Multiple Subnetwork Hypothesis: Enabling Multidomain Learning by Isolating Task-Specific Subnetworks in Feedforward Neural Networks Jacob Renn Ian Sotnek Benjamin Harvey B. Caffo OOD CLL 21 0 0 18 Jul 2022
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network Guimei Cao Zhanzhan Cheng Yunlu Xu Duo Li Shiliang Pu Yi Niu Fei Wu CLL 23 2 0 14 Jul 2022
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning C. Steinparz Thomas Schmied Fabian Paischer Marius-Constantin Dinu Vihang Patil Angela Bitto-Nemling Hamid Eghbalzadeh Sepp Hochreiter CLL 29 11 0 12 Jul 2022
Hebbian Continual Representation Learning P. Morawiecki Andrii Krutsylo Maciej Wołczyk Marek Śmieja CLL 30 2 0 28 Jun 2022
Continual Learning of Dynamical Systems with Competitive Federated Reservoir Computing Leonard Bereska E. Gavves 37 6 0 27 Jun 2022
Sample Condensation in Online Continual Learning Mattia Sangermano Antonio Carta Andrea Cossu D. Bacciu DD 33 43 0 23 Jun 2022
Towards Diverse Evaluation of Class Incremental Learning: A Representation Learning Perspective Sungmin Cha Jihwan Kwak Dongsub Shim Hyunwoo J. Kim Moontae Lee Honglak Lee Taesup Moon CLL 30 1 0 16 Jun 2022
Continual Learning with Guarantees via Weight Interval Constraints Maciej Wołczyk Karol J. Piczak Bartosz Wójcik Lukasz Pustelnik P. Morawiecki Jacek Tabor Tomasz Trzciñski Przemysław Spurek 29 9 0 16 Jun 2022
PAC-Net: A Model Pruning Approach to Inductive Transfer Learning Sanghoon Myung I. Huh Wonik Jang Jae Myung Choe Jisu Ryu Daesin Kim Kee-Eung Kim C. Jeong 32 13 0 12 Jun 2022
A Study of Continual Learning Methods for Q-Learning Benedikt Bagus A. Gepperth CLL OffRL 30 4 0 08 Jun 2022
Effects of Auxiliary Knowledge on Continual Learning Giovanni Bellitto M. Pennisi S. Palazzo Lorenzo Bonicelli Matteo Boschini Simone Calderara C. Spampinato CLL 20 6 0 03 Jun 2022
Transfer without Forgetting Matteo Boschini Lorenzo Bonicelli Angelo Porrello Giovanni Bellitto M. Pennisi S. Palazzo C. Spampinato Simone Calderara CLL 22 46 0 01 Jun 2022
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation Mehmet Özgür Türkoglu Alexander Becker H. Gündüz Mina Rezaei Bernd Bischl Rodrigo Caye Daudt Stefano Dáronco Jan Dirk Wegner Konrad Schindler FedML UQCV 38 25 0 31 May 2022
Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks Daiki Chijiwa Shin'ya Yamaguchi Atsutoshi Kumagai Yasutoshi Ida 32 8 0 31 May 2022
Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges Massimo Caccia Jonas W. Mueller Taesup Kim Laurent Charlin Rasool Fakoor CLL 37 8 0 28 May 2022
Continual evaluation for lifelong learning: Identifying the stability gap Matthias De Lange Gido M. van de Ven Tinne Tuytelaars CLL 116 41 0 26 May 2022
Continual Learning for Visual Search with Backward Consistent Feature Embedding Timmy S. T. Wan Jun-Cheng Chen Tzer-Yi Wu Chu-Song Chen CLL VLM 34 18 0 26 May 2022
Feature Forgetting in Continual Representation Learning Xiao Zhang Dejing Dou Ji Wu CLL 21 5 0 26 May 2022
Self-distilled Knowledge Delegator for Exemplar-free Class Incremental Learning Fanfan Ye Liang Ma Qiaoyong Zhong Di Xie Shiliang Pu BDL CLL 21 2 0 23 May 2022
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation Qingfeng Lan Yangchen Pan Jun Luo A. R. Mahmood OffRL 36 8 0 22 May 2022
How catastrophic can catastrophic forgetting be in linear regression? Itay Evron E. Moroshko Rachel A. Ward Nati Srebro Daniel Soudry CLL 35 48 0 19 May 2022
Bypassing Logits Bias in Online Class-Incremental Learning with a Generative Framework Gehui Shen Shibo Jie Ziheng Li Zhi-Hong Deng CLL 21 0 0 19 May 2022
Meta-Learning Sparse Compression Networks Jonathan Richard Schwarz Yee Whye Teh 65 26 0 18 May 2022
Learning Representations for New Sound Classes With Continual Self-Supervised Learning Zhepei Wang Cem Subakan Xilin Jiang Junkai Wu Efthymios Tzinis Mirco Ravanelli Paris Smaragdis CLL SSL 67 19 0 15 May 2022
Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor Yang Yang Z. Cui Junjie Xu Changhong Zhong Weishi Zheng Ruixuan Wang MedIm BDL OOD 26 34 0 28 Apr 2022
Continual Learning for Peer-to-Peer Federated Learning: A Study on Automated Brain Metastasis Identification Yixing Huang Christoph Bert Stefan Fischer Manuel Schmidt Arnd Dörfler Andreas Maier R. Fietkau F. Putz FedML CLL OOD MedIm 36 17 0 26 Apr 2022
Theoretical Understanding of the Information Flow on Continual Learning Performance Joshua Andle Salimeh Yasaei Sekeh CLL 17 6 0 26 Apr 2022
An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions M. Jehanzeb Mirza Marc Masana Horst Possegger Horst Bischof CLL 14 74 0 19 Apr 2022
Modeling Missing Annotations for Incremental Learning in Object Detection Fabio Cermelli Antonino Geraci Dario Fontanel Barbara Caputo CLL 45 24 0 19 Apr 2022
Entropy-based Stability-Plasticity for Lifelong Learning Vladimir Araujo J. Hurtado Alvaro Soto Marie-Francine Moens CLL 32 15 0 18 Apr 2022
Self-Supervised Traffic Advisors: Distributed, Multi-view Traffic Prediction for Smart Cities Jiankai Sun Shreyas Kousik David Fridovich-Keil Mac Schwager 34 5 0 13 Apr 2022
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection Karim Guirguis Ahmed Hendawy George Eskandar Mohamed Abdelsamad Matthias Kayser Jürgen Beyerer 27 15 0 11 Apr 2022
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning Zifeng Wang Zizhao Zhang Sayna Ebrahimi Ruoxi Sun Han Zhang ... Xiaoqi Ren Guolong Su Vincent Perot Jennifer Dy Tomas Pfister CLL VLM VPVLM 36 463 0 10 Apr 2022
Class-Incremental Learning with Strong Pre-trained Models Tz-Ying Wu Gurumurthy Swaminathan Zhizhong Li Avinash Ravichandran Nuno Vasconcelos Rahul Bhotika Stefano Soatto CLL 32 67 0 07 Apr 2022
Incremental Prototype Tuning for Class Incremental Learning Jieren Deng Jianhua Hu Haojian Zhang Yunkuan Wang CLL VLM 40 3 0 07 Apr 2022
Re-examining Distillation For Continual Object Detection Eli Verwimp Kuo Yang Sarah Parisot Hong Lanqing Jingyu Sun Eduardo Pérez-Pellitero Matthias De Lange Tinne Tuytelaars VLM 30 6 0 04 Apr 2022
Task Adaptive Parameter Sharing for Multi-Task Learning Matthew Wallingford Hao Li Alessandro Achille Avinash Ravichandran Charless C. Fowlkes Rahul Bhotika Stefano Soatto MoMe 33 59 0 30 Mar 2022
Unseen Classes at a Later Time? No Problem Hari Chandana Kuchibhotla Sumitra S Malagi Shivam Chandhok V. Balasubramanian CLL 32 10 0 30 Mar 2022
Energy-based Latent Aligner for Incremental Learning K. J. Joseph Salman Khan Fahad Shahbaz Khan Rao Muhammad Anwer V. Balasubramanian CLL 38 47 0 28 Mar 2022
Gradient-Matching Coresets for Rehearsal-Based Continual Learning Lukas Balles Giovanni Zappella Cédric Archambeau CLL 17 3 0 28 Mar 2022
Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation Guanglei Yang Enrico Fini Dan Xu Paolo Rota Mingli Ding Moin Nabi Xavier Alameda-Pineda Elisa Ricci CLL 40 64 0 26 Mar 2022
Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization Francesco Pelosin Saurav Jha A. Torsello Bogdan Raducanu Joost van de Weijer CLL 23 29 0 24 Mar 2022
Continual Learning and Private Unlearning B. Liu Qian Liu Peter Stone CLL MU 10 47 0 24 Mar 2022
Unsupervised Simultaneous Learning for Camera Re-Localization and Depth Estimation from Video S. Taguchi Noriaki Hirose SSL MDE 23 1 0 24 Mar 2022
Meta-attention for ViT-backed Continual Learning Mengqi Xue Haofei Zhang Mingli Song Mingli Song CLL 32 42 0 22 Mar 2022
Continual Sequence Generation with Adaptive Compositional Modules Yanzhe Zhang Xuezhi Wang Diyi Yang KELM CLL 46 42 0 20 Mar 2022
Incremental Few-Shot Learning via Implanting and Compressing Yiting Li H. Zhu Xijia Feng Zilong Cheng Jun Ma Cheng Xiang P. Vadakkepat T. Lee CLL VLM 27 2 0 19 Mar 2022
Continual Learning Based on OOD Detection and Task Masking Gyuhak Kim Sepideh Esmaeilpour Changnan Xiao Bing-Quan Liu OODD CLL 24 17 0 17 Mar 2022
A Continual Learning Framework for Adaptive Defect Classification and Inspection Wenbo Sun Raed Al Kontar Judy Jin Tzyy-Shuh Chang 23 10 0 16 Mar 2022