Continual learning with hypernetworks

3 June 2019

Papers citing "Continual learning with hypernetworks"

42 / 92 papers shown

Title
Designing Universal Causal Deep Learning Models: The Geometric (Hyper)Transformer Beatrice Acciaio Anastasis Kratsios G. Pammer OOD 54 20 0 31 Jan 2022
Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers Wenju Sun Qingyong Li Jing Zhang Danyu Wang Wen Wang Yangli-ao Geng BDL 24 3 0 05 Jan 2022
Generative Kernel Continual learning Mohammad Mahdi Derakhshani Xiantong Zhen Ling Shao Cees G. M. Snoek BDL VLM 41 0 0 26 Dec 2021
Event-Aware Multimodal Mobility Nowcasting Zhaonan Wang Renhe Jiang Hao Xue Flora D. Salim Xuan Song Ryosuke Shibasaki 40 35 0 14 Dec 2021
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks Zixuan Ke Bing-Quan Liu Hu Xu Lei Shu CLL 31 55 0 05 Dec 2021
HyperInverter: Improving StyleGAN Inversion via Hypernetwork Tan M. Dinh Anh Tran Rang Nguyen Binh-Son Hua 38 116 0 01 Dec 2021
HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing Yuval Alaluf Omer Tov Ron Mokady Rinon Gal Amit H. Bermano 51 265 0 30 Nov 2021
Meta Internal Learning Raphael Bensadoun Shir Gur Tomer Galanti Lior Wolf GAN 31 8 0 06 Oct 2021
Hypernetworks for Continual Semi-Supervised Learning Dhanajit Brahma Vinay Kumar Verma Piyush Rai BDL CLL 30 12 0 05 Oct 2021
DualNet: Continual Learning, Fast and Slow Quang Pham Chenghao Liu Guosheng Lin CLL 77 44 0 01 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 30 73 0 23 Sep 2021
Repulsive Deep Ensembles are Bayesian Francesco DÁngelo Vincent Fortuin UQCV BDL 61 95 0 22 Jun 2021
Deep Gaussian Processes: A Survey Kalvik Jakkala AI4CE GP BDL 29 19 0 21 Jun 2021
Graceful Degradation and Related Fields J. Dymond 31 4 0 21 Jun 2021
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning James Smith Yen-Chang Hsu John C. Balloch Yilin Shen Hongxia Jin Z. Kira CLL 65 162 0 17 Jun 2021
Natural continual learning: success is a journey, not (just) a destination Ta-Chu Kao Kristopher T. Jensen Gido M. van de Ven A. Bernacchia Guillaume Hennequin CLL 23 48 0 15 Jun 2021
Optimizing Reusable Knowledge for Continual Learning via Metalearning J. Hurtado Alain Raymond-Sáez Alvaro Soto CLL 34 37 0 09 Jun 2021
Adaptive Filters in Graph Convolutional Neural Networks Andrea Apicella Francesco Isgrò A. Pollastro R. Prevete GNN 27 16 0 21 May 2021
Class-Incremental Experience Replay for Continual Learning under Concept Drift Lukasz Korycki Bartosz Krawczyk 23 31 0 24 Apr 2021
Contextual HyperNetworks for Novel Feature Adaptation A. Lamb Evgeny S. Saveliev Yingzhen Li Sebastian Tschiatschek Camilla Longden Simon Woodhead José Miguel Hernández-Lobato Richard Turner Pashmina Cameron Cheng Zhang OOD 20 6 0 12 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
Replay in Deep Learning: Current Approaches and Missing Biological Elements Tyler L. Hayes G. Krishnan M. Bazhenov H. Siegelmann T. Sejnowski Christopher Kanan CLL 41 130 0 01 Apr 2021
Efficient Feature Transformations for Discriminative and Generative Continual Learning Vinay Kumar Verma Kevin J Liang Nikhil Mehta Piyush Rai Lawrence Carin CLL 43 76 0 25 Mar 2021
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks Zhou Xian Shamit Lal H. Tung Emmanouil Antonios Platanios Katerina Fragkiadaki AI4CE 33 23 0 17 Mar 2021
Continual Learning for Recurrent Neural Networks: an Empirical Evaluation Andrea Cossu Antonio Carta Vincenzo Lomonaco D. Bacciu CLL 41 107 0 12 Mar 2021
Personalized Federated Learning using Hypernetworks Aviv Shamsian Aviv Navon Ethan Fetaya Gal Chechik FedML 41 327 0 08 Mar 2021
Posterior Meta-Replay for Continual Learning Christian Henning Maria R. Cervera Francesco DÁngelo J. Oswald Regina Traber Benjamin Ehret Seijin Kobayashi Benjamin Grewe João Sacramento CLL BDL 51 55 0 01 Mar 2021
PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains Eyal Ben-David Nadav Oved Roi Reichart VLM OOD 17 88 0 24 Feb 2021
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping Prakhar Kaushik Alex Gain Adam Kortylewski Alan Yuille CLL 11 69 0 22 Feb 2021
Energy-Based Models for Continual Learning Shuang Li Yilun Du Gido M. van de Ven Igor Mordatch 27 42 0 24 Nov 2020
Continual Learning with Deep Artificial Neurons Blake Camp J. Mandivarapu Rolando Estrada 18 8 0 13 Nov 2020
Controllable Pareto Multi-Task Learning Xi Lin Zhiyuan Yang Qingfu Zhang Sam Kwong MoE 77 73 0 13 Oct 2020
Continual Model-Based Reinforcement Learning with Hypernetworks Yizhou Huang Kevin Xie Homanga Bharadhwaj Florian Shkurti CLL 22 46 0 25 Sep 2020
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data Jonathan Pilault Amine Elhattami C. Pal CLL MoE 30 89 0 19 Sep 2020
Initial Classifier Weights Replay for Memoryless Class Incremental Learning Eden Belouadah Adrian Daniel Popescu Ioannis Kanellos CLL 29 23 0 31 Aug 2020
Supermasks in Superposition Mitchell Wortsman Vivek Ramanujan Rosanne Liu Aniruddha Kembhavi Mohammad Rastegari J. Yosinski Ali Farhadi SSL CLL 33 279 0 26 Jun 2020
Gaussian Gated Linear Networks David Budden Adam H. Marblestone Eren Sezener Tor Lattimore Greg Wayne J. Veness BDL AI4CE 27 12 0 10 Jun 2020
On Infinite-Width Hypernetworks Etai Littwin Tomer Galanti Lior Wolf Greg Yang 11 11 0 27 Mar 2020
Neuroevolution of Self-Interpretable Agents Yujin Tang Duong Nguyen David R Ha 29 111 0 18 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 309 10,378 0 12 Dec 2018
Self-Net: Lifelong Learning via Continual Self-Modeling Blake Camp J. Mandivarapu Rolando Estrada CLL SSL 27 16 0 25 May 2018
Overcoming Catastrophic Interference by Conceptors Xu He H. Jaeger BDL 28 13 0 16 Jul 2017