Archival Track

Oral Presentations

Are Labels Needed for Incremental Instance Learning?  [Slides]  [Video]
Mert Kilickaya, Joaquin Vanschoren

Just a Glimpse: Rethinking Temporal Information for Video Continual Learning
Lama Alssum, Juan C Leon, Merey Ramazanova, Chen Zhao, Bernard Ghanem

CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning
Amir Nazemi, Zeyad Moustafa, Paul Fieguth

Poster Presentations

A Closer Look at Rehearsal-Free Continual Learning
James S Smith, Junjiao Tian, Shaunak Halbe, Yen-Chang Hsu, Zsolt Kira

D3Former: Debiased Dual Distilled Transformer for Incremental Learning  [Supplementary Material]
Abdelrahman Mohamed, Rushali Grandhe, Joseph K J, Salman Khan, Fahad Shahbaz Khan

How Efficient Are Today's Continual Learning Algorithms?  [Poster]
Md Yousuf Harun, Gianmarco J Gallardo, Tyler L Hayes, Christopher Kanan

Online Distillation with Continual Learning for Cyclic Domain Shifts  [Poster]
Joachim Houyon, Anthony Cioppa, Yasir M Ghunaim, Motasem Alfarra, Anaïs Halin, Maxim C. E. Henry, Bernard Ghanem, Marc Van Droogenbroeck

Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse Data
Elena Camuffo, Simone Milani

Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation  [Poster]
Prasanna B, Sunandini Sanyal, R Venkatesh Babu

CoVIO: Online Continual Learning for Visual-Inertial Odometry
Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada

SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge  [Supplementary Material]  [Poster]
Xiaofan Yu, Yunhui Guo, Sicun Gao, Tajana S Rosing

Density Map Distillation for Incremental Object Counting
Chenshen Wu, Joost van de Weijer

Simulating Task-Free Continual Learning Streams From Existing Datasets  [Supplementary Material]
Aristotelis Chrysakis, Sien Moens

Lifelong Learning of Task-Parameter Relationships for Knowledge Transfer
Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar 

Non-archival Track

Poster Presentations

MEnsA: Mix-up Ensemble Average for Unsupervised Multi Target Domain Adaptation on 3D Point Clouds
Ashish Sinha, Jonghyun Choi

Improving Representational Continuity via Continued Pretraining
Michael Sun, Ananya Kumar, Divyam Madaan, Percy Liang

The Ideal Continual Learner: An Agent That Never Forgets
Liangzu Peng, Paris Giampouras, Rene Vidal

Human Perceptions of Task Load and Trust when Interactively Teaching a Continual Learning Robot
Ali Ayub, Zachary De Francesco, Patrick Holthaus, Chrystopher L. Nehaniv, Kerstin Dautenhahn

Few-Shot Continual Active Learning
Ali Ayub

On the Stability-Plasticity Dilemma of Class-Incremental Learning
Dongwan Kim, Bohyung Han

PointCLIMB: An Exemplar-Free Point Cloud Class Incremental Benchmark
Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudenagudi

Towards a True Evaluation of Rapid Adaptation in Online Continual Learning
Hasan Abed Al Kader Hammoud, Ameya Prabhu, Ser-Nam Lim, Philip Torr, Adel Bibi, Bernard Ghanem

Computationally Budgeted Continual Learning: What Does Matter?
Ameya Prabhu, Hasan Abed Al Kader Hammoud, Puneet Dokania, Philip Torr, Ser-Nam Lim, Bernard Ghanem, Adel Bibi

Real-Time Evaluation in Online Continual Learning: A New Hope
Yasir M Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Philip Torr, Bernard Ghanem

SimCS: Simulation for Online Domain-Incremental Continual Segmentation
Motasem Alfarra, Zhipeng Cai, Adel Bibi, Bernard Ghanem, Matthias Müller

Towards More Objective Evaluation of Class Incremental Learning: Representation Learning Perspective
Sungmin Cha, Jihwan Kwak, Dongsub Shim, Hyunwoo Kim, Moontae Lee, Honglak Lee, Taesup Moon

Renate: A Library for Real-World Continual Learning
Martin Wistuba, Martin Ferianc, Lukas Balles, Cedric Archambeau, Giovanni Zappella

How Well Do Existing Partial Label Learning Methods Adapt to Class Incremental Learning Tasks?
Rishabh R Lalla, Saketh Bachu, Poojan S Dharaiya, Vineeth N Balasubramanian

Adaptable Latent subspace learning for StyleGAN without forgetting
Adarsh Kappiyath, Anmol Garg, Ramya Hebbalaguppe, Prathosh A P

An Effective Buffer Training Strategy for Class-Incremental Object Detection
Junsu Kim, Sumin Hong, Chanwoo Kim, Hoseong Cho, Yihalem Yimolal Tiruneh, Jihyeon Kim, Eunseo Kim, Jihyun Song, Sunhwa Choi, Seungryul Baek

Exploring Continual Learning of Diffusion Models  [Poster]
Michał Zając, Kamil Deja, Anna Kuzina, Jakub M Tomczak, Tomasz Trzcinski, Florian Shkurti, Piotr Miłoś

Prediction Error-based Classification for Class-Incremental Learning  [Poster]
Michał Zając, Tinne Tuytelaars, Gido M van de Ven

Frozen CLIP is an Efficient Continual Learner
Vishal Thengane, Salman Khan, Munawar Hayat, Fahad Khan

SequeL: A Continual Learning Library in PyTorch and JAX
Nikolaos Dimitriadis, François Fleuret, Pascal Frossard