Continual learning with hypernetworks

3 June 2019

Papers citing "Continual learning with hypernetworks"

50 / 92 papers shown

Title
Privacy-Aware Lifelong Learning Ozan Özdenizci Elmar Rueckert Robert Legenstein CLL MU KELM 36 0 0 16 May 2025
Prototype Augmented Hypernetworks for Continual Learning Neil De La Fuente Maria Pilligua Daniel Vidal Albin Soutiff Cecilia Curreli Daniel Cremers Andrey Barsky CLL 36 0 0 12 May 2025
HYPEROFA: Expanding LLM Vocabulary to New Languages via Hypernetwork-Based Embedding Initialization Enes Özeren Yihong Liu Hinrich Schütze 36 0 0 21 Apr 2025
FeNeC: Enhancing Continual Learning via Feature Clustering with Neighbor- or Logit-Based Classification Kamil Książek Hubert Jastrzębski Bartosz Trojan Krzysztof Pniaczek Michał Karp Jacek Tabor CLL 84 0 0 18 Mar 2025
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes V. Chauhan Lei A. Clifton Gaurav Nigam David Clifton CML 63 0 0 12 Feb 2025
Hypencoder: Hypernetworks for Information Retrieval Julian Killingback Hansi Zeng Hamed Zamani 112 1 0 07 Feb 2025
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning Jinglin Liang Jin Zhong Hanlin Gu Zhongqi Lu Xingxing Tang Gang Dai Shuangping Huang Lixin Fan Qiang Yang DiffM 47 7 0 02 Sep 2024
Principled Weight Initialization for Hypernetworks Oscar Chang Lampros Flokas Hod Lipson 30 73 0 13 Dec 2023
Deep Reinforcement Learning with Task-Adaptive Retrieval via Hypernetwork Yonggang Jin Chenxu Wang Tianyu Zheng Liuyu Xiang Yao-Chun Yang Junge Zhang Jie Fu Zhaofeng He 3DH 45 0 0 19 Jun 2023
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation V. Chauhan Jiandong Zhou Ghadeer O. Ghosheh Soheila Molaei David Clifton 30 8 0 25 May 2023
Focus Your Attention (with Adaptive IIR Filters) Shahar Lutati Itamar Zimerman Lior Wolf 32 10 0 24 May 2023
HyperINR: A Fast and Predictive Hypernetwork for Implicit Neural Representations via Knowledge Distillation Qi Wu David Bauer Yuyang Chen Kwan-Liu Ma 39 14 0 09 Apr 2023
I2I: Initializing Adapters with Improvised Knowledge Tejas Srinivasan Furong Jia Mohammad Rostami Jesse Thomason CLL 32 6 0 04 Apr 2023
Exploring Continual Learning of Diffusion Models Michal Zajac Kamil Deja Anna Kuzina Jakub M. Tomczak Tomasz Trzciñski Florian Shkurti Piotr Milo's DiffM 35 11 0 27 Mar 2023
Modular Deep Learning Jonas Pfeiffer Sebastian Ruder Ivan Vulić Edoardo Ponti MoMe OOD 34 73 0 22 Feb 2023
Preventing Catastrophic Forgetting in Continual Learning of New Natural Language Tasks Sudipta Kar Giuseppe Castellucci Simone Filice S. Malmasi Oleg Rokhlenko CLL KELM 56 6 0 22 Feb 2023
Hypernetworks build Implicit Neural Representations of Sounds Filip Szatkowski Karol J. Piczak Przemtslaw Spurek Jacek Tabor Tomasz Trzciñski 24 11 0 09 Feb 2023
Exploring the Approximation Capabilities of Multiplicative Neural Networks for Smooth Functions Ido Ben-Shaul Tomer Galanti S. Dekel 31 3 0 11 Jan 2023
Continual Learning with Optimal Transport based Mixture Model Quyen Tran Hoang Phan Khoat Than Dinh Q. Phung Trung Le CLL 21 1 0 30 Nov 2022
Hypernetworks for Zero-shot Transfer in Reinforcement Learning S. Rezaei-Shoshtari Charlotte Morissette F. Hogan Gregory Dudek David Meger OffRL 17 14 0 28 Nov 2022
DynaGAN: Dynamic Few-shot Adaptation of GANs to Multiple Domains S. Kim Kyoungkook Kang Geon-Yeong Kim Seung-Hwan Baek Sunghyun Cho 32 19 0 26 Nov 2022
Continual Learning of Natural Language Processing Tasks: A Survey Zixuan Ke Bin Liu KELM CLL VLM 37 69 0 23 Nov 2022
HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization Jingang Qu T. Faney Zehao Wang Patrick Gallinari Soleiman Yousef J. D. Hemptinne OOD 24 7 0 15 Nov 2022
A Theoretical Study on Solving Continual Learning Gyuhak Kim Changnan Xiao Tatsuya Konishi Zixuan Ke Bin Liu CLL 27 71 0 04 Nov 2022
HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks Filip Szatkowski Karol J. Piczak Przemysław Spurek Jacek Tabor Tomasz Trzciñski 23 12 0 03 Nov 2022
Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis Luca Galimberti Anastasis Kratsios Giulia Livieri OOD 30 14 0 24 Oct 2022
Boosting Natural Language Generation from Instructions with Meta-Learning Budhaditya Deb Guoqing Zheng Ahmed Hassan Awadallah 24 13 0 20 Oct 2022
Augmentative Topology Agents For Open-Ended Learning Muhammad Umair Nasir Michael Beukman Steven D. James C. Cleghorn 39 3 0 20 Oct 2022
NOCaL: Calibration-Free Semi-Supervised Learning of Odometry and Camera Intrinsics Ryan-Rhys Griffiths J. Naylor D. Dansereau 27 1 0 14 Oct 2022
Continual Learning by Modeling Intra-Class Variation L. Yu Tianyang Hu Lanqing Hong Zhen Liu Adrian Weller Weiyang Liu CLL 56 12 0 11 Oct 2022
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation Xiaohan Zou Tong Lin CLL 33 2 0 03 Oct 2022
OCD: Learning to Overfit with Conditional Diffusion Models Shahar Lutati Lior Wolf DiffM 27 8 0 02 Oct 2022
HyperHawkes: Hypernetwork based Neural Temporal Point Process Manisha Dubey P. K. Srijith M. Desarkar AI4TS 123 1 0 01 Oct 2022
Learn the Time to Learn: Replay Scheduling in Continual Learning Marcus Klasson Hedvig Kjellström Chen Zhang CLL 37 9 0 18 Sep 2022
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay Gyuhak Kim Zixuan Ke Bin Liu VLM CLL OODD 25 29 0 20 Aug 2022
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning Phung Lai Han Hu Nhathai Phan Ruoming Jin My T. Thai An M. Chen 25 2 0 26 Jul 2022
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
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 37 27 0 15 Jul 2022
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution Zhenyi Wang Li Shen Le Fang Qiuling Suo Tiehang Duan Mingchen Gao OOD 39 41 0 15 Jul 2022
Goal-Conditioned Generators of Deep Policies Francesco Faccio Vincent Herrmann Aditya A. Ramesh Louis Kirsch Jürgen Schmidhuber OffRL 40 8 0 04 Jul 2022
Points2NeRF: Generating Neural Radiance Fields from 3D point cloud D. Zimny Joanna Waczyñska Tomasz Trzciñski Przemysław Spurek 34 18 0 02 Jun 2022
Interpolating Compressed Parameter Subspaces Siddhartha Datta N. Shadbolt 37 5 0 19 May 2022
Incremental Learning with Differentiable Architecture and Forgetting Search James Smith Zachary Seymour Han-Pang Chiu OOD CLL AI4CE 49 4 0 19 May 2022
Continual learning on 3D point clouds with random compressed rehearsal M. Zamorski Michal Stypulkowski Konrad Karanowski Tomasz Trzciñski Maciej Ziȩba 3DPC 27 9 0 16 May 2022
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks Siddhartha Datta AAML 36 4 0 15 May 2022
Layer-wised Model Aggregation for Personalized Federated Learning Xiaosong Ma Jie Zhang Song Guo Wenchao Xu FedML 33 171 0 09 May 2022
A Closer Look at Rehearsal-Free Continual Learning James Smith Junjiao Tian Shaunak Halbe Yen-Chang Hsu Z. Kira VLM CLL 26 60 0 31 Mar 2022
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning Quang Pham Chenghao Liu Guosheng Lin BDL OnRL 38 57 0 30 Mar 2022
HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both Language and Vision-and-Language Tasks Zhengkun Zhang Wenya Guo Xiaojun Meng Yasheng Wang Yadao Wang Xin Jiang Qun Liu Zhenglu Yang 36 16 0 08 Mar 2022
SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification S. Hashim Muhammad Ali Karthik Nandakumar Mohammad Yaqub 24 3 0 03 Feb 2022