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

Vihang Prakash Patil, Andreas Radler, Daniel Klotz, Sepp Hochreiter; 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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