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
Learning to Modulate pre-trained Models in RL Thomas Schmied M. Hofmarcher Fabian Paischer Razvan Pascanu Sepp Hochreiter CLL OffRL 26 14 0 26 Jun 2023
Parameter-Level Soft-Masking for Continual Learning Tatsuya Konishi M. Kurokawa C. Ono Zixuan Ke Gyuhak Kim Bin Liu CLL 18 33 0 26 Jun 2023
Learnability and Algorithm for Continual Learning Gyuhak Kim Changnan Xiao Tatsuya Konishi Bin Liu CLL 39 24 0 22 Jun 2023
Class-Incremental Learning based on Label Generation Yijia Shao Yiduo Guo Dongyan Zhao Bin Liu CLL 32 14 0 22 Jun 2023
Continual Learners are Incremental Model Generalizers Jaehong Yoon Sung Ju Hwang Yu Cao CLL 33 5 0 21 Jun 2023
TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings Gusseppe Bravo Rocca Peini Liu Jordi Guitart Ajay Dholakia David Ellison 24 1 0 21 Jun 2023
Kalman Filter for Online Classification of Non-Stationary Data Michalis K. Titsias Alexandre Galashov Amal Rannen-Triki Razvan Pascanu Yee Whye Teh J. Bornschein CLL BDL 81 9 0 14 Jun 2023
A Probabilistic Framework for Modular Continual Learning Lazar Valkov Akash Srivastava Swarat Chaudhuri Charles Sutton CLL 16 1 0 11 Jun 2023
One-Shot Machine Unlearning with Mnemonic Code Tomoya Yamashita Masanori Yamada Takashi Shibata MU 13 1 0 09 Jun 2023
Fast Context Adaptation in Cost-Aware Continual Learning Seyyidahmed Lahmer Federico Mason Federico Chiariotti Andrea Zanella 26 1 0 06 Jun 2023
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning Bo Liu Yifeng Zhu Chongkai Gao Yihao Feng Qian Liu Yuke Zhu Peter Stone CLL 35 118 0 05 Jun 2023
Evolving Knowledge Mining for Class Incremental Segmentation Zhihe Lu Shuicheng Yan Xinchao Wang CLL 41 0 0 03 Jun 2023
Task Relation-aware Continual User Representation Learning Sein Kim Namkyeong Lee Donghyun Kim Min-Chul Yang Chanyoung Park CLL 16 7 0 01 Jun 2023
Approximate Bayesian Class-Conditional Models under Continuous Representation Shift Thomas L. Lee Amos Storkey BDL 22 3 0 30 May 2023
Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions Stefan Leitner M. Jehanzeb Mirza Wei Lin Jakub Micorek Marc Masana Mateusz Koziñski Horst Possegger Horst Bischof CLL 44 2 0 30 May 2023
Continual Task Allocation in Meta-Policy Network via Sparse Prompting Yijun Yang Tianyi Zhou Jing Jiang Guodong Long Yuhui Shi CLL OffRL 44 9 0 29 May 2023
Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study Yiqi Zhong Xianming Liu Deming Zhai Junjun Jiang Xiang Ji AAML 15 0 0 28 May 2023
Mitigating Catastrophic Forgetting in Long Short-Term Memory Networks Ketaki Joshi Raghavendra Pradyumna Pothukuchi Andre Wibisono A. Bhattacharjee CLL 11 0 0 26 May 2023
Batch Model Consolidation: A Multi-Task Model Consolidation Framework Iordanis Fostiropoulos Jiaye Zhu Laurent Itti MoMe CLL 29 3 0 25 May 2023
Condensed Prototype Replay for Class Incremental Learning Jiangtao Kong Zhenyu Zong Dinesh Manocha Huajie Shao 24 2 0 25 May 2023
Camera-Incremental Object Re-Identification with Identity Knowledge Evolution Hantao Yao Lu Yu Jifei Luo Changsheng Xu 39 0 0 25 May 2023
OER: Offline Experience Replay for Continual Offline Reinforcement Learning Sibo Gai Donglin Wang Li He CLL OffRL 57 3 0 23 May 2023
InstructAlign: High-and-Low Resource Language Alignment via Continual Crosslingual Instruction Tuning Samuel Cahyawijaya Holy Lovenia Tiezheng Yu Willy Chung Pascale Fung ALM 39 14 0 23 May 2023
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models Guillermo Ortiz-Jiménez Alessandro Favero P. Frossard MoMe 51 112 0 22 May 2023
Lifelong Language Pretraining with Distribution-Specialized Experts Wuyang Chen Yan-Quan Zhou Nan Du Yanping Huang James Laudon Z. Chen Claire Cu KELM 26 48 0 20 May 2023
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning Runqi Wang Xiaoyue Duan Guoliang Kang Jianzhuang Liu Shaohui Lin Songcen Xu Jinhu Lv Baochang Zhang CLL VLM 15 29 0 19 May 2023
Mode-Aware Continual Learning for Conditional Generative Adversarial Networks Cat P. Le Juncheng Dong Ahmed Aloui Vahid Tarokh TTA GAN 33 1 0 19 May 2023
Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks Saptarshi Nath Christos Peridis Eseoghene Ben-Iwhiwhu Xinran Liu Shirin Dora Cong Liu Soheil Kolouri Andrea Soltoggio CLL 28 8 0 18 May 2023
Schema-adaptable Knowledge Graph Construction Hongbin Ye Honghao Gui Xin Xu Xi Chen Huajun Chen Ningyu Zhang 43 4 0 15 May 2023
RepCL: Exploring Effective Representation for Continual Text Classification Yifan Song Peiyi Wang Dawei Zhu Tianyu Liu Zhifang Sui Sujian Li CLL 30 1 0 12 May 2023
Improving Continual Relation Extraction by Distinguishing Analogous Semantics Wenzheng Zhao Yuanning Cui Wei Hu CLL 17 14 0 11 May 2023
Domain Incremental Lifelong Learning in an Open World Yinpei Dai Hao Lang Yinhe Zheng Yu Bowen Fei Huang Yongbin Li CLL 35 5 0 11 May 2023
DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on Wearable Medical Sensors Chia-Hao Li N. Jha 29 7 0 09 May 2023
On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning Lorenzo Bonicelli Matteo Boschini Emanuele Frascaroli Angelo Porrello M. Pennisi Giovanni Bellitto S. Palazzo C. Spampinato Simone Calderara CLL 26 3 0 05 May 2023
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning Zifeng Wang Zheng Zhan Yifan Gong Yucai Shao Stratis Ioannidis Yanzhi Wang Jennifer Dy CLL 60 11 0 30 Apr 2023
The Ideal Continual Learner: An Agent That Never Forgets Liangzu Peng Paris V. Giampouras René Vidal CLL 110 26 0 29 Apr 2023
Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D Object Detection Barza Nisar Hruday Vishal Kanna Anand Steven L. Waslander 35 1 0 27 Apr 2023
A baseline on continual learning methods for video action recognition Giulia Castagnolo C. Spampinato Francesco Rundo Daniela Giordano S. Palazzo CLL 32 2 0 20 Apr 2023
Non-exemplar Class-incremental Learning by Random Auxiliary Classes Augmentation and Mixed Features Kenny Song Quan Xia Guoqiang Liang Zhaoji Chen Yanning Zhang CLL 33 6 0 16 Apr 2023
Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation B. Prasanna Sunandini Sanyal R. Venkatesh Babu CLL 32 4 0 15 Apr 2023
CoSDA: Continual Source-Free Domain Adaptation H. Feng Zhaorui Yang He-Tuo Chen Tianyu Pang Chao Du Minfeng Zhu Wei Chen Shuicheng Yan CLL TTA 37 3 0 13 Apr 2023
iPINNs: Incremental learning for Physics-informed neural networks Aleksandr Dekhovich M. Sluiter David Tax Miguel A. Bessa AI4CE DiffM 20 10 0 10 Apr 2023
ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning Hongxiang Gao Xingyao Wang Zhenghua Chen Min-man Wu Jianqing Li Chengyu Liu 24 8 0 10 Apr 2023
Federated Incremental Semantic Segmentation Jiahua Dong Duzhen Zhang Yang Cong Wei Cong Henghui Ding Dengxin Dai FedML 37 39 0 10 Apr 2023
Does Continual Learning Equally Forget All Parameters? Haiyan Zhao Dinesh Manocha Guodong Long Jing Jiang Chengqi Zhang CLL KELM 39 13 0 09 Apr 2023
Exploring Data Geometry for Continual Learning Zhi Gao C. Xu Feng Li Yunde Jia Mehrtash Harandi Yuwei Wu CLL 21 9 0 08 Apr 2023
Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting Timm Hess Eli Verwimp Gido M. van de Ven Tinne Tuytelaars CLL 26 7 0 03 Apr 2023
CoDeC: Communication-Efficient Decentralized Continual Learning Sakshi Choudhary Sai Aparna Aketi Gobinda Saha Kaushik Roy CLL 53 3 0 27 Mar 2023
Forget-free Continual Learning with Soft-Winning SubNetworks Haeyong Kang Jaehong Yoon Sultan Rizky Hikmawan Madjid Sung Ju Hwang Chang D. Yoo CLL 36 4 0 27 Mar 2023
Preserving Linear Separability in Continual Learning by Backward Feature Projection Qiao Gu Dongsub Shim Florian Shkurti CLL KELM 21 10 0 26 Mar 2023