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PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
v1v2 (latest)

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

15 November 2017
Arun Mallya
Svetlana Lazebnik
    CLL
ArXiv (abs)PDFHTMLGithub (233★)

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

50 / 800 papers shown
Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded Updates
Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded Updates
Atsuki Yamaguchi
Terufumi Morishita
Aline Villavicencio
Nikolaos Aletras
CLL
221
0
0
04 Dec 2025
Continual Learning for Singing Voice Separation with Human in the Loop Adaptation
Continual Learning for Singing Voice Separation with Human in the Loop Adaptation
Ankur Gupta
Anshul Rai
Archit Bansal
Vipul Arora
VLM
283
0
0
02 Dec 2025
Provably Safe Model Updates
Leo Elmecker-Plakolm
Pierre Fasterling
Philip Sosnin
Calvin Tsay
Matthew Wicker
AAMLKELM
155
0
0
01 Dec 2025
Stable-Drift: A Patient-Aware Latent Drift Replay Method for Stabilizing Representations in Continual Learning
Stable-Drift: A Patient-Aware Latent Drift Replay Method for Stabilizing Representations in Continual Learning
P. Theofilou
Anuhya Thota
Stefanos D. Kollias
Mamatha Thota
MedIm
314
0
0
27 Nov 2025
Prompt-Aware Adaptive Elastic Weight Consolidation for Continual Learning in Medical Vision-Language Models
Prompt-Aware Adaptive Elastic Weight Consolidation for Continual Learning in Medical Vision-Language Models
Ziyuan Gao
Philippe Morel
CLL
214
0
0
25 Nov 2025
MedPEFT-CL: Dual-Phase Parameter-Efficient Continual Learning with Medical Semantic Adapter and Bidirectional Memory Consolidation
MedPEFT-CL: Dual-Phase Parameter-Efficient Continual Learning with Medical Semantic Adapter and Bidirectional Memory Consolidation
Ziyuan Gao
CLLMedIm
192
0
0
21 Nov 2025
InTAct: Interval-based Task Activation Consolidation for Continual Learning
InTAct: Interval-based Task Activation Consolidation for Continual Learning
Patryk Krukowski
Jan Miksa
Piotr Helm
Jacek Tabor
Paweł Wawrzyński
Przemysław Spurek
CLL
276
0
0
21 Nov 2025
Learning from Mistakes: Loss-Aware Memory Enhanced Continual Learning for LiDAR Place Recognition
Learning from Mistakes: Loss-Aware Memory Enhanced Continual Learning for LiDAR Place Recognition
Xufei Wang
Junqiao Zhao
Siyue Tao
Qiwen Gu
Wonbong Kim
T. Feng
CLL
214
0
0
19 Nov 2025
FSC-Net: Fast-Slow Consolidation Networks for Continual Learning
FSC-Net: Fast-Slow Consolidation Networks for Continual Learning
Mohamed El Gorrim
CLL
208
0
0
12 Nov 2025
ExpReS-VLA: Specializing Vision-Language-Action Models Through Experience Replay and Retrieval
ExpReS-VLA: Specializing Vision-Language-Action Models Through Experience Replay and Retrieval
Shahram Najam Syed
Yatharth Ahuja
Arthur Jakobsson
Jeff Ichnowski
VLM
108
1
0
09 Nov 2025
ProDER: A Continual Learning Approach for Fault Prediction in Evolving Smart Grids
ProDER: A Continual Learning Approach for Fault Prediction in Evolving Smart Grids
Emad Efatinasab
Nahal Azadi
Davide Dalle Pezze
Gian Antonio Susto
Chuadhry Mujeeb Ahmed
M. Rampazzo
152
0
0
07 Nov 2025
Sharing the Learned Knowledge-base to Estimate Convolutional Filter Parameters for Continual Image Restoration
Sharing the Learned Knowledge-base to Estimate Convolutional Filter Parameters for Continual Image Restoration
Aupendu Kar
Krishnendu Ghosh
P. Biswas
CLLSupR
330
0
0
07 Nov 2025
Dynamic Routing Between Experts: A Data-Efficient Approach to Continual Learning in Vision-Language Models
Dynamic Routing Between Experts: A Data-Efficient Approach to Continual Learning in Vision-Language Models
Jay Mohta
Kenan E. Ak
Dimitrios Dimitriadis
Yan Xu
Mingwei Shen
CLLVLM
311
0
0
03 Nov 2025
Path-Coordinated Continual Learning with Neural Tangent Kernel-Justified Plasticity: A Theoretical Framework with Near State-of-the-Art Performance
Path-Coordinated Continual Learning with Neural Tangent Kernel-Justified Plasticity: A Theoretical Framework with Near State-of-the-Art Performance
Rathin Chandra Shit
CLLAAML
256
2
0
03 Nov 2025
Continual Knowledge Adaptation for Reinforcement Learning
Continual Knowledge Adaptation for Reinforcement Learning
Jinwu Hu
Zihao Lian
Z. Wen
Chenghao Li
Guohao Chen
Xutao Wen
Bin Xiao
Mingkui Tan
CLLKELM
197
1
0
22 Oct 2025
COLA: Continual Learning via Autoencoder Retrieval of Adapters
COLA: Continual Learning via Autoencoder Retrieval of Adapters
Jaya Krishna Mandivarapu
CLL
295
0
0
22 Oct 2025
From Local to Global: Revisiting Structured Pruning Paradigms for Large Language Models
From Local to Global: Revisiting Structured Pruning Paradigms for Large Language Models
Ziyan Wang
Enmao Diao
Qi Le
Pu Wang
Minwoo Lee
Shu-ping Yeh
Evgeny Stupachenko
Hao Feng
Li Yang
139
1
0
20 Oct 2025
Learning After Model Deployment
Learning After Model Deployment
Derda Kaymak
Gyuhak Kim
Tomoya Kaichi
Tatsuya Konishi
Bing-Quan Liu
125
0
0
20 Oct 2025
Towards Error Centric Intelligence I, Beyond Observational Learning
Towards Error Centric Intelligence I, Beyond Observational Learning
Marcus A. Thomas
CML
180
1
0
16 Oct 2025
Enhancing the Cross-Size Generalization for Solving Vehicle Routing Problems via Continual Learning
Enhancing the Cross-Size Generalization for Solving Vehicle Routing Problems via Continual Learning
Jingwen Li
Zhiguang Cao
Yaoxin Wu
Tang Liu
CLL
227
2
0
11 Oct 2025
Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference
Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference
Zichen Wang
Haoyang Hong
Chuanhao Li
Haoxuan Li
Zhiheng Zhang
Huazheng Wang
140
0
0
09 Oct 2025
Deep Generative Continual Learning using Functional LoRA: FunLoRA
Deep Generative Continual Learning using Functional LoRA: FunLoRA
Victor Enescu
Hichem Sahbi
247
0
0
03 Oct 2025
REPAIR: Robust Editing via Progressive Adaptive Intervention and Reintegration
REPAIR: Robust Editing via Progressive Adaptive Intervention and Reintegration
Yisu Wang
Ming Wang
Haoyuan Song
Wenjie Huang
Chaozheng Wang
Yi Xie
Xuming Ran
KELMMoMeCLL
132
1
0
02 Oct 2025
Understanding Catastrophic Interference: On the Identifibility of Latent Representations
Understanding Catastrophic Interference: On the Identifibility of Latent Representations
Yuke Li
Yujia Zheng
Tianyi Xiong
Zhenyi Wang
Tianyi Zhou
273
0
0
27 Sep 2025
StructPrune: Structured Global Pruning asymptotics with $\mathcal{O}(\sqrt{N})$ GPU Memory
StructPrune: Structured Global Pruning asymptotics with O(N)\mathcal{O}(\sqrt{N})O(N​) GPU Memory
Xinyuan Song
Guangji Bai
Bo Pan
121
0
0
25 Sep 2025
Policy Compatible Skill Incremental Learning via Lazy Learning Interface
Policy Compatible Skill Incremental Learning via Lazy Learning Interface
Daehee Lee
Dongsu Lee
TaeYoon Kwack
Wonje Choi
Honguk Woo
CLL
289
0
0
24 Sep 2025
Efficient Reinforcement Learning by Reducing Forgetting with Elephant Activation Functions
Efficient Reinforcement Learning by Reducing Forgetting with Elephant Activation Functions
Qingfeng Lan
Gautham Vasan
A. R. Mahmood
CLL
137
0
0
23 Sep 2025
Hyperbolic Coarse-to-Fine Few-Shot Class-Incremental Learning
Hyperbolic Coarse-to-Fine Few-Shot Class-Incremental Learning
Jiaxin Dai
Xiang Xiang
121
0
0
23 Sep 2025
An Unlearning Framework for Continual Learning
An Unlearning Framework for Continual Learning
Sayanta Adhikari
Vishnuprasadh Kumaravelu
P. K. Srijith
MUCLL
117
1
0
22 Sep 2025
SPICED: A Synaptic Homeostasis-Inspired Framework for Unsupervised Continual EEG Decoding
SPICED: A Synaptic Homeostasis-Inspired Framework for Unsupervised Continual EEG Decoding
Yangxuan Zhou
Sha Zhao
Jiquan Wang
Haiteng Jiang
Shijian Li
Tao Li
Gang Pan
132
0
0
22 Sep 2025
TinyEcoWeedNet: Edge Efficient Real-Time Aerial Agricultural Weed Detection
TinyEcoWeedNet: Edge Efficient Real-Time Aerial Agricultural Weed Detection
Omar Hesham Khater
Abdul Jabbar Siddiqui
Aiman El-Maleh
M. Shamim Hossain
118
0
0
19 Sep 2025
HAM: Hierarchical Adapter Merging for Scalable Continual Learning
HAM: Hierarchical Adapter Merging for Scalable Continual Learning
Eric Nuertey Coleman
Luigi Quarantiello
Samrat Mukherjee
J. Hurtado
Vincenzo Lomonaco
CLLMoMe
310
1
0
16 Sep 2025
Efficient Single-Step Framework for Incremental Class Learning in Neural Networks
Efficient Single-Step Framework for Incremental Class Learning in Neural Networks
Alejandro Dopico-Castro
O. Fontenla-Romero
Bertha Guijarro-Berdiñas
Amparo Alonso-Betanzos
CLL
139
0
0
14 Sep 2025
Forward-Only Continual Learning
Forward-Only Continual Learning
Jiao Chen
Jiayi He
Fangfang Chen
Zuohong Lv
Jianhua Tang
CLL
166
1
0
01 Sep 2025
BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding
BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding
Xuan-Bac Nguyen
Thanh-Dat Truong
Pawan Sinha
Khoa Luu
CLL
167
0
0
25 Aug 2025
Towards Continual Visual Anomaly Detection in the Medical Domain
Towards Continual Visual Anomaly Detection in the Medical Domain
Manuel Barusco
Francesco Borsatti
Nicola Beda
Davide Dalle Pezze
Gian Antonio Susto
116
1
0
25 Aug 2025
ONG: Orthogonal Natural Gradient Descent
ONG: Orthogonal Natural Gradient Descent
Yajat Yadav
Patrick Mendoza
Jathin Korrapati
179
0
0
24 Aug 2025
Modular Embedding Recomposition for Incremental Learning
Modular Embedding Recomposition for Incremental Learning
Aniello Panariello
Emanuele Frascaroli
Pietro Buzzega
Lorenzo Bonicelli
Angelo Porrello
Simone Calderara
VLM
210
2
0
22 Aug 2025
Enhancing Memory Recall in LLMs with Gauss-Tin: A Hybrid Instructional and Gaussian Replay Approach
Enhancing Memory Recall in LLMs with Gauss-Tin: A Hybrid Instructional and Gaussian Replay Approach
Iing Muttakhiroh
Thomas Fevens
CLL
100
0
0
13 Aug 2025
GaussianUpdate: Continual 3D Gaussian Splatting Update for Changing Environments
GaussianUpdate: Continual 3D Gaussian Splatting Update for Changing Environments
Lin Zeng
Boming Zhao
Jiarui Hu
Xujie Shen
Ziqiang Dang
Hujun Bao
Zhaopeng Cui
3DGS
136
5
0
12 Aug 2025
OpenHAIV: A Framework Towards Practical Open-World Learning
OpenHAIV: A Framework Towards Practical Open-World Learning
Xiang Xiang
Yuwen Tan
Zhuo Xu
Jing Ma
Jiaxin Dai
Yifan Liang
Hanlin Li
CLLVLM
146
0
0
10 Aug 2025
Contrastive Regularization over LoRA for Multimodal Biomedical Image Incremental Learning
Contrastive Regularization over LoRA for Multimodal Biomedical Image Incremental Learning
Haojie Zhang
Yixiong Liang
Hulin Kuang
Lihui Cen
Zhe Qu
Yigang Cen
Min Zeng
Shichao Kan
CLL
160
1
0
08 Aug 2025
Exploring Stability-Plasticity Trade-offs for Continual Named Entity Recognition
Exploring Stability-Plasticity Trade-offs for Continual Named Entity RecognitionIEEE Transactions on Audio, Speech, and Language Processing (TASLP), 2025
Duzhen Zhang
Chenxing Li
Jiahua Dong
Qi Liu
Dong Yu
122
0
0
05 Aug 2025
T2S: Tokenized Skill Scaling for Lifelong Imitation Learning
T2S: Tokenized Skill Scaling for Lifelong Imitation Learning
Hongquan Zhang
Jingyu Gong
Zhizhong Zhang
Xin Tan
Yanyun Qu
Yuan Xie
CLL
191
0
0
02 Aug 2025
C3D-AD: Toward Continual 3D Anomaly Detection via Kernel Attention with Learnable Advisor
C3D-AD: Toward Continual 3D Anomaly Detection via Kernel Attention with Learnable Advisor
Haoquan Lu
Hanzhe Liang
Jie Zhang
Chenxi Hu
Jinbao Wang
Can Gao
136
0
0
02 Aug 2025
Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning
Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning
Jiong Yin
Liang-Sheng Li
Jiehua Zhang
Yuhan Gao
Chenggang Yan
Xichun Sheng
CLL
230
1
0
29 Jul 2025
A Comprehensive Data-centric Overview of Federated Graph Learning
A Comprehensive Data-centric Overview of Federated Graph Learning
Zhengyu Wu
X. Li
Yinlin Zhu
Zekai Chen
Guochen Yan
...
Hao Zhang
Yuming Ai
X. Jin
Rong-Hua Li
Guoren Wang
FedMLAI4CE
276
2
0
22 Jul 2025
LifelongPR: Lifelong point cloud place recognition based on sample replay and prompt learning
LifelongPR: Lifelong point cloud place recognition based on sample replay and prompt learning
Xianghong Zou
Jianping Li
Zhe Chen
Zhen Cao
Zhen Dong
Qiegen Liu
Bisheng Yang
CLL
176
0
0
14 Jul 2025
Confounder-Free Continual Learning via Recursive Feature Normalization
Confounder-Free Continual Learning via Recursive Feature Normalization
Yash Shah
Camila Gonzalez
Mohammad H. Abbasi
Qingyu Zhao
K. Pohl
Ehsan Adeli
CLLBDL
334
0
0
11 Jul 2025
LW2G: Learning Whether to Grow for Prompt-based Continual Learning
LW2G: Learning Whether to Grow for Prompt-based Continual Learning
Qian Feng
Dawei Zhou
Hanbin Zhao
Chao Zhang
Jiahua Dong
Dengxin Dai
Hui Qian
VLMCLL
322
10
0
01 Jul 2025
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