Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2104.00405
Cited By
Avalanche: an End-to-End Library for Continual Learning
1 April 2021
Vincenzo Lomonaco
Lorenzo Pellegrini
Andrea Cossu
Antonio Carta
G. Graffieti
Tyler L. Hayes
Matthias De Lange
Marc Masana
Jary Pomponi
Gido M. van de Ven
Martin Mundt
Qi She
Keiland W Cooper
Jérémy Forest
Eden Belouadah
Simone Calderara
G. I. Parisi
Fabio Cuzzolin
A. Tolias
Simone Scardapane
L. Antiga
Subutai Amhad
Adrian Daniel Popescu
Christopher Kanan
Joost van de Weijer
Tinne Tuytelaars
D. Bacciu
Davide Maltoni
BDL
AI4TS
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Avalanche: an End-to-End Library for Continual Learning"
50 / 111 papers shown
Title
Noise-Tolerant Coreset-Based Class Incremental Continual Learning
Edison Mucllari
Aswin Raghavan
Z. Daniels
CLL
NoLa
185
0
0
23 Apr 2025
Continual Learning Strategies for 3D Engineering Regression Problems: A Benchmarking Study
Kaira M. Samuel
Faez Ahmed
52
0
0
16 Apr 2025
Technical Report for the 5th CLVision Challenge at CVPR: Addressing the Class-Incremental with Repetition using Unlabeled Data -- 4th Place Solution
Panagiota Moraiti
Efstathios Karypidis
48
0
0
19 Mar 2025
A margin-based replacement for cross-entropy loss
Michael W. Spratling
Heiko H. Schütt
68
0
0
21 Jan 2025
CLOFAI: A Dataset of Real And Fake Image Classification Tasks for Continual Learning
William Doherty
Anton Lee
Heitor Murilo Gomes
CLL
40
0
0
19 Jan 2025
A Contrastive Symmetric Forward-Forward Algorithm (SFFA) for Continual Learning Tasks
Erik B. Terres-Escudero
Javier Del Ser
Pablo García Bringas
AAML
CLL
45
0
0
10 Jan 2025
Deep evolving semi-supervised anomaly detection
Jack Belham
Aryan Bhosale
Samrat Mukherjee
Biplab Banerjee
Fabio Cuzzolin
70
0
0
01 Dec 2024
One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering
Deepayan Das
Davide Talon
Massimiliano Mancini
Yiming Wang
Elisa Ricci
46
0
0
04 Nov 2024
Continual Human Pose Estimation for Incremental Integration of Keypoints and Pose Variations
Muhammad Saif Ullah Khan
Muhammad Ahmed Ullah Khan
Muhammad Zeshan Afzal
Didier Stricker
CLL
33
1
0
30 Sep 2024
TEAL: New Selection Strategy for Small Buffers in Experience Replay Class Incremental Learning
Shahar Shaul-Ariel
D. Weinshall
VLM
37
0
0
30 Jun 2024
The impact of model size on catastrophic forgetting in Online Continual Learning
Eunhae Lee
CLL
41
0
0
28 Jun 2024
CLoG: Benchmarking Continual Learning of Image Generation Models
Haotian Zhang
Junting Zhou
Haowei Lin
Hang Ye
Jianhua Zhu
Zihao Wang
Liangcai Gao
Yizhou Wang
Yitao Liang
DiffM
VLM
37
1
0
07 Jun 2024
Choice of PEFT Technique in Continual Learning: Prompt Tuning is Not All You Need
Martin Wistuba
Prabhu Teja Sivaprasad
Lukas Balles
Giovanni Zappella
40
0
0
05 Jun 2024
Parameterizing Federated Continual Learning for Reproducible Research
Bart Cox
Jeroen Galjaard
Aditya Shankar
Jérémie Decouchant
Lydia Y. Chen
FedML
56
0
0
04 Jun 2024
An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates
Albin Soutif--Cormerais
Simone Magistri
Joost van de Weijer
Andew D. Bagdanov
40
1
0
28 May 2024
Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation
Wenxuan Zhang
Youssef Mohamed
Guohao Li
Philip Torr
Adel Bibi
Mohamed Elhoseiny
CLL
48
5
0
19 Apr 2024
Calibration of Continual Learning Models
Lanpei Li
Elia Piccoli
Andrea Cossu
Davide Bacciu
Vincenzo Lomonaco
CLL
45
2
0
11 Apr 2024
Continual Policy Distillation of Reinforcement Learning-based Controllers for Soft Robotic In-Hand Manipulation
Lanpei Li
Enrico Donato
Vincenzo Lomonaco
Egidio Falotico
23
2
0
05 Apr 2024
Continual Learning with Weight Interpolation
Jkedrzej Kozal
Jan Wasilewski
Bartosz Krawczyk
Michal Wo'zniak
CLL
MoMe
42
6
0
05 Apr 2024
Workload Estimation for Unknown Tasks: A Survey of Machine Learning Under Distribution Shift
Josh Bhagat Smith
Julie A. Adams
24
0
0
20 Mar 2024
Self-generated Replay Memories for Continual Neural Machine Translation
Michele Resta
Davide Bacciu
CLL
28
2
0
19 Mar 2024
Continual Learning by Three-Phase Consolidation
Davide Maltoni
Lorenzo Pellegrini
CLL
28
0
0
12 Mar 2024
Adaptive Hyperparameter Optimization for Continual Learning Scenarios
Rudy Semola
J. Hurtado
Vincenzo Lomonaco
Davide Bacciu
38
4
0
09 Mar 2024
Maintaining Adversarial Robustness in Continuous Learning
Xiaolei Ru
Xiaowei Cao
Zijia Liu
Jack Murdoch Moore
Xin-Ya Zhang
Xia Zhu
Wenjia Wei
Gang Yan
AAML
27
1
0
17 Feb 2024
Class incremental learning with probability dampening and cascaded gated classifier
Jary Pomponi
Alessio Devoto
Simone Scardapane
CLL
20
0
0
02 Feb 2024
Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization
Sebastian Dziadzio
cCaugatay Yildiz
Gido M. van de Ven
Tomasz Trzciñski
Tinne Tuytelaars
Matthias Bethge
27
1
0
27 Dec 2023
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Everton L. Aleixo
J. Colonna
Marco Cristo
Everlandio Fernandes
CLL
62
22
0
16 Dec 2023
Benchmarking Continual Learning from Cognitive Perspectives
Xiaoqian Liu
Junge Zhang
Mingyi Zhang
Peipei Yang
21
0
0
06 Dec 2023
MIND: Multi-Task Incremental Network Distillation
Jacopo Bonato
Francesco Pelosin
Luigi Sabetta
Alessandro Nicolosi
CLL
16
7
0
05 Dec 2023
Continual Learning of Diffusion Models with Generative Distillation
Sergi Masip
Pau Rodriguez
Tinne Tuytelaars
Gido M. van de Ven
VLM
DiffM
36
8
0
23 Nov 2023
Task Arithmetic with LoRA for Continual Learning
Rajas Chitale
Ankit Vaidya
Aditya Kane
Archana Ghotkar
32
14
0
04 Nov 2023
Towards Continually Learning Application Performance Models
Ray A. O. Sinurat
Anurag Daram
Haryadi S. Gunawi
Robert B. Ross
Sandeep Madireddy
23
0
0
25 Oct 2023
CL-MASR: A Continual Learning Benchmark for Multilingual ASR
Luca Della Libera
Pooneh Mousavi
Salah Zaiem
Cem Subakan
Mirco Ravanelli
AuLLM
CLL
48
13
0
25 Oct 2023
On the Disconnect Between Theory and Practice of Neural Networks: Limits of the NTK Perspective
Jonathan Wenger
Felix Dangel
Agustinus Kristiadi
36
0
0
29 Sep 2023
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation
Damian Sójka
Sebastian Cygert
Bartlomiej Twardowski
Tomasz Trzciñski
TTA
15
5
0
18 Sep 2023
Towards Robust Continual Learning with Bayesian Adaptive Moment Regularization
Jack Foster
Alexandra Brintrup
CLL
42
0
0
15 Sep 2023
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
Hai-Long Sun
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
110
27
0
13 Sep 2023
Continual Cross-Dataset Adaptation in Road Surface Classification
Paolo Cudrano
Matteo Bellusci
Giuseppe Macino
Matteo Matteucci
CLL
24
1
0
05 Sep 2023
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams
Yiqun Diao
Yutong Yang
Yue Liu
Bin He
Mian Lu
24
1
0
29 Aug 2023
Overcoming Generic Knowledge Loss with Selective Parameter Update
Wenxuan Zhang
Paul Janson
Rahaf Aljundi
Mohamed Elhoseiny
KELM
CLL
37
10
0
23 Aug 2023
Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures
Sandeep Madireddy
A. Yanguas-Gil
Prasanna Balaprakash
CLL
26
1
0
08 Aug 2023
Detecting Morphing Attacks via Continual Incremental Training
Lorenzo Pellegrini
Guido Borghi
Annalisa Franco
Davide Maltoni
CLL
47
3
0
27 Jul 2023
Class-Incremental Mixture of Gaussians for Deep Continual Learning
Lukasz Korycki
Bartosz Krawczyk
CLL
BDL
23
1
0
09 Jul 2023
Improving Online Continual Learning Performance and Stability with Temporal Ensembles
Albin Soutif--Cormerais
Antonio Carta
Joost van de Weijer
CLL
15
11
0
29 Jun 2023
Partial Hypernetworks for Continual Learning
Hamed Hemati
Vincenzo Lomonaco
D. Bacciu
Damian Borth
CLL
24
7
0
19 Jun 2023
Studying Generalization on Memory-Based Methods in Continual Learning
Felipe del-Rio
J. Hurtado
Cristian-Radu Buc
Alvaro Soto
Vincenzo Lomonaco
BDL
38
3
0
16 Jun 2023
KrADagrad: Kronecker Approximation-Domination Gradient Preconditioned Stochastic Optimization
Jonathan Mei
Alexander Moreno
Luke Walters
ODL
29
1
0
30 May 2023
SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired Continual Learning
Mustafa Burak Gurbuz
J. M. Moorman
Constantinos Dovrolis
CLL
34
0
0
29 May 2023
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code
Martin Weyssow
Xin Zhou
Kisub Kim
David Lo
H. Sahraoui
CLL
KELM
53
10
0
06 May 2023
MLHOps: Machine Learning for Healthcare Operations
Kristoffer Larsen
Vallijah Subasri
A. Krishnan
Cláudio Tinoco Mesquita
Diana Paez
Laleh Seyyed-Kalantari
Amalia Peix
LM&MA
AI4TS
VLM
27
2
0
04 May 2023
1
2
3
Next