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Proceedings of Machine Learning Research

Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research
Proceedings of Machine Learning Research
PMLR · 2026-05-29 · via Proceedings of Machine Learning Research

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Volume 274: Conference on Lifelong Learning Agents, 29-1 August 2024, University of Pisa, Pisa, Italy

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Editors: Vincenzo Lomonaco, Stefano Melacci, Tinne Tuytelaars, Sarath Chandar, Razvan Pascanu

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Automatic Pruning of Fine-tuning Datasets for Transformer-based Language Models

Sayed Mohammadreza Tayaranian Hosseini, Seyyed Hasan Mozafari, Brett H. Meyer, James J. Clark, Warren J. Gross; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:1-28

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Simplified priors for Object-Centric Learning

; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:29-48

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A Contrastive Symmetric Forward-Forward Algorithm (SFFA) for Continual Learning Tasks

Erik B Terres-Escudero, Javier Del Ser, Pablo Garcia-Bringas; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:49-69

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Masked Autoencoders are Efficient Continual Federated Learners

Subarnaduti Paul, Lars-Joel Frey, Roshni Ramanna Kamath, Kristian Kersting, Martin Mundt; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:70-85

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Towards More Diverse Evaluation of Class Incremental Learning: Representation Learning Perspective

Sungmin Cha, Jihwan Kwak, Dongsub Shim, Hyunwoo Kim, Moontae Lee, Honglak Lee, Taesup Moon; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:86-101

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Beyond Unimodal Learning: The Importance of Integrating Multiple Modalities for Lifelong Learning

Fahad Sarfraz, Bahram Zonooz, Elahe Arani; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:102-120

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Local vs Global continual learning

Giulia Lanzillotta, Sidak Pal Singh, Benjamin F Grewe, Thomas Hofmann; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:121-143

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Mitigating Interference in the Knowledge Continuum through Attention-Guided Incremental Learning

Prashant Shivaram Bhat, Bharath Chennamkulam Renjith, Elahe Arani, Bahram Zonooz; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:144-160

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Replaying with Realistic Latent Vectors in Generative Continual Learning

Hyemin Jeong, Seong-Woong Kim, Dong-Wan Choi; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:161-178

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Memory Head for Pre-Trained Backbones in Continual Learning

Matteo Tiezzi, Federico Becattini, Simone Marullo, Stefano Melacci; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:179-197

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Hadamard Domain Training with Integers for Class Incremental Quantized Learning

Martin Schiemer, Clemens JS Schaefer, Mark James Horeni, Yu Emma Wang, Juan Ye, Siddharth Joshi; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:198-220

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Subspace-Configurable Networks

Dong Wang, Olga Saukh, Xiaoxi He, Lothar Thiele; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:221-251

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Adaptive Action Advising with Different Rewards

Yue Guo, Xijia Zhang, Simon Stepputtis, Joseph Campbell, Katia P. Sycara; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:252-267

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Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning

Norman Di Palo, Leonard Hasenclever, Jan Humplik, Arunkumar Byravan; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:268-284

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Learning to learn without forgetting using attention

Anna Vettoruzzo, Joaquin Vanschoren, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:285-300

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Cross-Domain Policy Transfer by Representation Alignment via Multi-Domain Behavioral Cloning

Hayato Watahiki, Ryo Iwase, Ryosuke Unno, Yoshimasa Tsuruoka; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:301-323

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Gradual Fine-Tuning with Graph Routing for Multi-Source Unsupervised Domain Adaptation

Yao Ma, Samuel Louvan, Zhunxuan Wang; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:324-341

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On the Limitation and Experience Replay for GNNs in Continual Learning

Junwei Su, Difan Zou, Chuan Wu; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:342-366

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PANDAS: Prototype-based Novel Class Discovery and Detection

Tyler L. Hayes, César Roberto de Souza, Namil Kim, Jiwon Kim, Riccardo Volpi, Diane Larlus; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:367-387

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Integrating Present and Past in Unsupervised Continual Learning

Yipeng Zhang, Laurent Charlin, Richard Zemel, Mengye Ren; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:388-409

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Maintaining Plasticity in Continual Learning via Regenerative Regularization

Saurabh Kumar, Henrik Marklund, Benjamin Van Roy; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:410-430

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Continual Learning of Diffusion Models with Generative Distillation

Sergi Masip, Pau Rodriguez, Tinne Tuytelaars, Gido M van de Ven; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:431-456

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iWISDM: Assessing instruction following in multimodal models at scale

Xiaoxuan Lei, Lucas Gomez, Hao Yuan Bai, Pouya Bashivan; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:457-480

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t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making

William Yue, Bo Liu, Peter Stone; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:481-497

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Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization

Sebastian Dziadzio, Çagatay Yildiz, Gido M. van de Ven, Tomasz Trzcinski, Tinne Tuytelaars, Matthias Bethge; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:498-513

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Channel-Selective Normalization for Label-Shift Robust Test-Time Adaptation

Pedro Vianna, Muawiz Sajjad Chaudhary, Paria Mehrbod, An Tang, Guy Cloutier, Guy Wolf, Michael Eickenberg, Eugene Belilovsky; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:514-533

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From Categories to Classifiers: Name-Only Continual Learning by Exploring the Web

Ameya Prabhu, Hasan Abed Al Kader Hammoud, Ser-Nam Lim, Bernard Ghanem, Philip Torr, Adel Bibi; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:534-559

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Tomorrow Brings Greater Knowledge: Large Language Models Join Dynamic Temporal Knowledge Graphs

Christian Di Maio, Andrea Zugarini, Francesco Giannini, Marco Maggini, Stefano Melacci; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:560-576

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Consistency Regularisation for Unsupervised Domain Adaptation in Monocular Depth Estimation

Amir El-Ghoussani, Julia Hornauer, Gustavo Carneiro, Vasileios Belagiannis; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:577-596

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Continual Learning for Unsupervised Concept Bottleneck Discovery

Luca Salvatore Lorello, Marco Lippi, Stefano Melacci; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:597-619

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Label Augmentation for Neural Networks Robustness

Fatemeh Amerehi, Patrick Healy; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:620-640

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Stable Update of Regression Trees

Morten Blørstad, Berent Ånund Strømnes Lunde, Nello Blaser; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:641-651

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Towards realistic incremental scenario in class incremental semantic segmentation

Jihwan Kwak, Sungmin Cha, Taesup Moon; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:652-671

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POWN: Prototypical Open-World Node Classification

Marcel Hoffmann, Lukas Galke, Ansgar Scherp; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:672-691

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Compositional Interfaces for Compositional Generalization

Jelena Luketina, Jack Lanchantin, Sainbayar Sukhbaatar, Arthur Szlam; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:692-709

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ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning

Hosung Lee, Sejin Kim, Seungpil Lee, Sanha Hwang, Jihwan Lee, Byung-Jun Lee, Sundong Kim; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:710-731

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Enhanced Label Propagation through Affinity Matrix Fusion for Source-Free Domain Adaptation

Li Guo, Yuxuan Xia, Shengjie Wang; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:732-749

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Disentangling the Causes of Plasticity Loss in Neural Networks

Clare Lyle, Zeyu Zheng, Khimya Khetarpal, Hado van Hasselt, Razvan Pascanu, James Martens, Will Dabney; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:750-783

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Decoupled Prompt-Adapter Tuning for Continual Activity Recognition

Di Fu, Thanh Vinh Vo, Haozhe Ma, Tze-Yun Leong; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:784-797

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Optimizing the Learning Rate for the Online Training of Neural Networks

Lucas Cazzonelli, Cedric Kulbach, Steffen Thoma; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:798-814

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Keep moving: identifying task-relevant subspaces to maximise plasticity for newly learned tasks

Daniel Anthes, Sushrut Thorat, Peter König, Tim C Kietzmann; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:815-831

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Probabilistic Test-Time Generalization by Variational Neighbor-Labeling

Sameer Ambekar, Zehao Xiao, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:832-851

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Less is more: Summarizing Patch Tokens for efficient Multi-Label Class-Incremental Learning

Thomas De Min, Massimiliano Mancini, Stéphane Lathuilière, Subhankar Roy, Elisa Ricci; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:852-868

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SymbolicAI: A framework for logic-based approaches combining generative models and solvers

Marius-Constantin Dinu, Claudiu Leoveanu-Condrei, Markus Holzleitner, Werner Zellinger, Sepp Hochreiter; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:869-914

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Chunking: Continual Learning is not just about Distribution Shift

Thomas L Lee, Amos Storkey; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:915-937

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Patch-Based Contrastive Learning and Memory Consolidation for Online Unsupervised Continual Learning

Cameron Ethan Taylor, Vassilis Vassiliades, Constantine Dovrolis; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:938-958

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Partial Models for Building Adaptive Model-Based Reinforcement Learning Agents

Safa Alver, Ali Rahimi-Kalahroudi, Doina Precup; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:959-977

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The Empirical Impact of Forgetting and Transfer in Continual Visual Odometry

Paolo Cudrano, Xiaoyu Luo, Matteo Matteucci; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:978-995

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An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates

Albin Soutif, Simone Magistri, Joost van de Weijer, Andrew D. Bagdanov; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:996-1012

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Statistical Context Detection for Deep Lifelong Reinforcement Learning

Jeffery Dick, Saptarshi Nath, Christos Peridis, Eseoghene Ben-Iwhiwhu, Soheil Kolouri, Andrea Soltoggio; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:1013-1031

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GRASP: A Rehearsal Policy for Efficient Online Continual Learning

Md Yousuf Harun, Jhair Gallardo, Junyu Chen, Christopher Kanan; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:1032-1052

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Sub-goal Distillation: A Method to Improve Small Language Agents

Maryam Hashemzadeh, Elias Stengel-Eskin, Sarath Chandar, Marc-Alexandre Côté; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:1053-1075

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Reflecting on the State of Rehearsal-Free Continual Learning with Pretrained Models

Lukas Thede, Karsten Roth, Olivier J Henaff, Matthias Bethge, Zeynep Akata; Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:1076-1093

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