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 / 734 papers shown

Title
On robustness of generative representations against catastrophic forgetting Wojciech Masarczyk Kamil Deja Tomasz Trzciñski 8 3 0 04 Sep 2021
Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision Zhong Ji Jin Li Qiang Wang Zhongfei Zhang CLL 30 18 0 03 Sep 2021
Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation Tiantian Zhang Xueqian Wang Bin Liang Bo Yuan OffRL 32 18 0 01 Sep 2021
Compact representations of convolutional neural networks via weight pruning and quantization Giosuè Cataldo Marinò A. Petrini D. Malchiodi Marco Frasca MQ 21 4 0 28 Aug 2021
Adaptive Explainable Continual Learning Framework for Regression Problems with Focus on Power Forecasts Yujiang He AI4TS CLL 19 2 0 24 Aug 2021
Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data Zhipeng Cai Ozan Sener V. Koltun CLL 33 83 0 20 Aug 2021
An Investigation of Replay-based Approaches for Continual Learning Benedikt Bagus A. Gepperth CLL 33 33 0 15 Aug 2021
Continual Semi-Supervised Learning through Contrastive Interpolation Consistency Matteo Boschini Pietro Buzzega Lorenzo Bonicelli Angelo Porrello Simone Calderara CLL 35 40 0 14 Aug 2021
Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations Zike Yan Yuxin Tian Xuesong Shi Ping Guo Peng Wang H. Zha CLL 19 45 0 12 Aug 2021
DIODE: Dilatable Incremental Object Detection Can Peng Kun-li Zhao Sam Maksoud Tianren Wang Brian C. Lovell CLL ObjD 27 9 0 12 Aug 2021
Discriminative Distillation to Reduce Class Confusion in Continual Learning Changhong Zhong Z. Cui Ruixuan Wang Weishi Zheng 23 1 0 11 Aug 2021
Dual-Tuning: Joint Prototype Transfer and Structure Regularization for Compatible Feature Learning Yan Bai J. Jiao Shengsen Wu Yihang Lou Jun Liu Xuetao Feng Ling-yu Duan 21 7 0 06 Aug 2021
Generalized Source-free Domain Adaptation Shiqi Yang Yaxing Wang Joost van de Weijer Luis Herranz Shangling Jui TTA 38 252 0 03 Aug 2021
Sequoia: A Software Framework to Unify Continual Learning Research Fabrice Normandin Florian Golemo O. Ostapenko Pau Rodríguez López Matthew D Riemer ... Dominic Zhao Timothée Lesort Laurent Charlin Irina Rish Massimo Caccia CLL 19 20 0 02 Aug 2021
Task-Specific Normalization for Continual Learning of Blind Image Quality Models Weixia Zhang Kede Ma Guangtao Zhai Xiaokang Yang VLM 39 24 0 28 Jul 2021
In Defense of the Learning Without Forgetting for Task Incremental Learning Guy Oren Lior Wolf CLL 14 16 0 26 Jul 2021
More Parameters? No Thanks! Zeeshan Khan Kartheek Akella Vinay P. Namboodiri C. V. Jawahar 25 1 0 20 Jul 2021
Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking Binzong Geng Fajie Yuan Qiancheng Xu Ying Shen Ruifeng Xu Min Yang CLL 22 31 0 17 Jul 2021
Kernel Continual Learning Mohammad Mahdi Derakhshani Xiantong Zhen Ling Shao Cees G. M. Snoek CLL BDL VLM 75 38 0 12 Jul 2021
A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification Giampaolo Bovenzi Lixuan Yang A. Finamore Giuseppe Aceto D. Ciuonzo A. Pescapé Dario Rossi 20 22 0 09 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network Jong-Yeong Kim Dong-Wan Choi CLL 18 25 0 03 Jul 2021
Co $^2$ L: Contrastive Continual Learning Hyuntak Cha Jaeho Lee Jinwoo Shin CLL SSL VLM 60 293 0 28 Jun 2021
Learning without Forgetting for 3D Point Cloud Objects T. Chowdhury Mahira Jalisha A. Cheraghian Shafin Rahman 3DPC 35 9 0 27 Jun 2021
Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification Binzong Geng Min Yang Fajie Yuan Shupeng Wang Xiang Ao Ruifeng Xu CLL 13 19 0 21 Jun 2021
Graceful Degradation and Related Fields J. Dymond 31 4 0 21 Jun 2021
Invariant Information Bottleneck for Domain Generalization Bo-wen Li Yifei Shen Yezhen Wang Wenzhen Zhu Colorado Reed Jun Zhang Dongsheng Li Kurt Keutzer Han Zhao OOD 32 106 0 11 Jun 2021
Instance-Level Task Parameters: A Robust Multi-task Weighting Framework Pavan Kumar Anasosalu Vasu Shreyas Saxena Oncel Tuzel 18 5 0 11 Jun 2021
Optimizing Reusable Knowledge for Continual Learning via Metalearning J. Hurtado Alain Raymond-Sáez Alvaro Soto CLL 29 37 0 09 Jun 2021
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks Zhilu Zhang Vianne R. Gao M. Sabuncu UQCV 38 6 0 09 Jun 2021
Model Zoo: A Growing "Brain" That Learns Continually Rahul Ramesh Pratik Chaudhari CLL FedML 16 61 0 06 Jun 2021
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization? Dinghuai Zhang Kartik Ahuja Yilun Xu Yisen Wang Aaron Courville OOD 22 95 0 05 Jun 2021
A study on the plasticity of neural networks Tudor Berariu Wojciech M. Czarnecki Soham De J. Bornschein Samuel L. Smith Razvan Pascanu Claudia Clopath CLL AI4CE 25 30 0 31 May 2021
Efficient and robust multi-task learning in the brain with modular latent primitives Christian David Márton Léo Gagnon Guillaume Lajoie Kanaka Rajan 25 6 0 28 May 2021
$Neural Network Training Using $\ell_1$-Regularization and Bi-fidelity Data$ Neural Network Training Using $\ell_1$ -Regularization and Bi-fidelity Data Subhayan De Alireza Doostan 23 24 0 27 May 2021
Continual World: A Robotic Benchmark For Continual Reinforcement Learning Maciej Wołczyk Michal Zajkac Razvan Pascanu Lukasz Kuciñski Piotr Milo's CLL OffRL 17 89 0 23 May 2021
ACAE-REMIND for Online Continual Learning with Compressed Feature Replay Kai Wang Luis Herranz Joost van de Weijer CLL 24 14 0 18 May 2021
Shared and Private VAEs with Generative Replay for Continual Learning Subhankar Ghosh CLL BDL 23 0 0 17 May 2021
Continual Learning via Bit-Level Information Preserving Yujun Shi Li-xin Yuan Yunpeng Chen Jiashi Feng CLL 23 42 0 10 May 2021
Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning Yuyang Gao Giorgio Ascoli Liang Zhao 27 4 0 05 May 2021
Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors Zhuoyun Li Changhong Zhong Sijia Liu Ruixuan Wang Weishi Zheng CLL 17 29 0 28 Apr 2021
How Well Does Self-Supervised Pre-Training Perform with Streaming Data? Dapeng Hu Shipeng Yan Qizhengqiu Lu Lanqing Hong Hailin Hu Yifan Zhang Zhenguo Li Xinchao Wang Jiashi Feng 53 28 0 25 Apr 2021
Continual Learning with Fully Probabilistic Models Benedikt Pfülb A. Gepperth Benedikt Bagus BDL 35 8 0 19 Apr 2021
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay Benedikt Pfülb A. Gepperth VLM BDL 24 12 0 19 Apr 2021
On Learning the Geodesic Path for Incremental Learning Christian Simon Piotr Koniusz Mehrtash Harandi CLL 27 116 0 17 Apr 2021
Rehearsal revealed: The limits and merits of revisiting samples in continual learning Eli Verwimp Matthias De Lange Tinne Tuytelaars CLL 25 105 0 15 Apr 2021
Continual Learning for Text Classification with Information Disentanglement Based Regularization Yufan Huang Yanzhe Zhang Jiaao Chen Xuezhi Wang Diyi Yang CLL 26 106 0 12 Apr 2021
Synthesized Trust Learning from Limited Human Feedback for Human-Load-Reduced Multi-Robot Deployments Yijiang Pang Chao Huang R. Liu 6 2 0 07 Apr 2021
Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning Boyu Yang Mingbao Lin Binghao Liu Mengying Fu Chang-rui Liu Rongrong Ji QiXiang Ye CLL 32 14 0 06 Apr 2021
Towards Lifelong Learning of End-to-end ASR Heng-Jui Chang Hung-yi Lee Lin-Shan Lee KELM CLL 35 34 0 04 Apr 2021