惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

L
Lohrmann on Cybersecurity
Martin Fowler
Martin Fowler
Engineering at Meta
Engineering at Meta
腾讯CDC
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
Microsoft Azure Blog
Microsoft Azure Blog
G
Google Developers Blog
TaoSecurity Blog
TaoSecurity Blog
博客园_首页
Vercel News
Vercel News
Hugging Face - Blog
Hugging Face - Blog
D
Darknet – Hacking Tools, Hacker News & Cyber Security
Last Week in AI
Last Week in AI
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
T
The Exploit Database - CXSecurity.com
量子位
Project Zero
Project Zero
A
Arctic Wolf
小众软件
小众软件
NISL@THU
NISL@THU
C
CERT Recently Published Vulnerability Notes
有赞技术团队
有赞技术团队
MongoDB | Blog
MongoDB | Blog
博客园 - 聂微东
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
N
News and Events Feed by Topic
宝玉的分享
宝玉的分享
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
T
Troy Hunt's Blog
P
Privacy & Cybersecurity Law Blog
Security Latest
Security Latest
B
Blog
酷 壳 – CoolShell
酷 壳 – CoolShell
D
DataBreaches.Net
Schneier on Security
Schneier on Security
The Hacker News
The Hacker News
K
Kaspersky official blog
C
Check Point Blog
Hacker News: Ask HN
Hacker News: Ask HN
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
Webroot Blog
Webroot Blog
www.infosecurity-magazine.com
www.infosecurity-magazine.com
人人都是产品经理
人人都是产品经理
AI
AI
Cisco Talos Blog
Cisco Talos Blog
MyScale Blog
MyScale Blog
Cloudbric
Cloudbric
B
Blog RSS Feed
S
Schneier on Security
P
Palo Alto Networks Blog

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 · 2026-06-02 · via Proceedings of Machine Learning Research

[edit]

Volume 330: Conference on Lifelong Learning Agents, 11-14 August 2025, University of Pennsylvania, Philadelphia, PA, USA

[edit]

Editors: Sarath Chandar, Razvan Pascanu, Eric Eaton, Bing Liu, Rupam Mahmood, Amal Rannen-Triki

[bib][citeproc]

Filter Authors: Filter Titles:

Enhancing Plasticity for First Session Adaptation Continual Learning

; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:1-14

[abs][Download PDF]

Replay can provably increase forgetting

Yasaman Mahdaviyeh, James Lucas, Mengye Ren, Andreas S. Tolias, Richard Zemel, Toniann Pitassi; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:15-42

[abs][Download PDF]

Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion

Achref Jaziri, Étienne Künzel, Visvanathan Ramesh; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:43-63

[abs][Download PDF]

Balancing Expressivity and Robustness: Constrained Rational Activations for Reinforcement Learning

Rafał Surdej, Michał Bortkiewicz, Alex Lewandowski, Mateusz Ostaszewski, Clare Lyle; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:64-88

[abs][Download PDF]

On the Hardness of Unsupervised Domain Adaptation: Optimal Learners and Information-Theoretic Perspective

Zhiyi Dong, Zixuan Liu, Yongyi Mao; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:89-111

[abs][Download PDF]

Learning Without Time-Based Embodiment Resets in Soft-Actor Critic

Homayoon Farrahi, A. Rupam Mahmood; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:112-135

[abs][Download PDF]

Combining Pre-Trained Models for Enhanced Feature Representation in Reinforcement Learning

Elia Piccoli, Malio Li, Giacomo Carfi’, Vincenzo Lomonaco, Davide Bacciu; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:136-161

[abs][Download PDF]

Addressing the Devastating Effects of Single-Task Data Poisoning in Exemplar-free Continual Learning

Stanisław Pawlak, Bartłomiej Twardowski, Tomasz Trzcinski, Joost van de Weijer; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:162-181

[abs][Download PDF]

Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos

Yanlai Yang, Mengye Ren; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:182-203

[abs][Download PDF]

Statistical Bias Leads to Overestimated OOD Generalization in Algorithmic Tasks for Seq2Seq Transformer Models

John Kirk; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:204-221

[abs][Download PDF]

Manifold Metric: A Loss Landscape Approach for Predicting Model Performance

Pranshu Malviya, Jerry Huang, Aristide Baratin, Quentin Fournier, Sarath Chandar; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:222-244

[abs][Download PDF]

Extremely Simple Streaming Forest

Haoyin Xu, Jayanta Dey, Sambit Panda, Joshua T Vogelstein; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:245-260

[abs][Download PDF]

Benchmarking Mobile Device Control Agents across Diverse Configurations

Juyong Lee, Taywon Min, Minyong An, Dongyoon Hahm, Haeone Lee, Changyeon Kim, Kimin Lee; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:261-306

[abs][Download PDF]

Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment

Annie S Chen, Govind Chada, Laura Smith, Archit Sharma, Zipeng Fu, Sergey Levine, Chelsea Finn; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:307-323

[abs][Download PDF]

Query Drift Compensation: Enabling Compatibility in Continual Learning of Retrieval Embedding Models

Dipam Goswami, Liying Wang, Bartłomiej Twardowski, Joost van de Weijer; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:324-340

[abs][Download PDF]

Warming Up for Zeroth-Order Federated Pre-Training with Low Resource Clients

Gwen Legate, Irina Rish, Eugene Belilovsky; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:341-357

[abs][Download PDF]

BOWL: A Deceptively Simple Open World Learner

Roshni Ramanna Kamath, Rupert Mitchell, Subarnaduti Paul, Kristian Kersting, Martin Mundt; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:358-375

[abs][Download PDF]

Retrieval-Augmented Decision Transformer: External Memory for In-context RL

Thomas Schmied, Fabian Paischer, Vihang Prakash Patil, Markus Hofmarcher, Razvan Pascanu, Sepp Hochreiter; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:376-417

[abs][Download PDF]

Preserving Plasticity in Continual Learning with Adaptive Linearity Injection

Seyed Roozbeh Razavi Rohani, Khashayar Khajavi, Wesley Chung, Mo Chen, Sharan Vaswani; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:418-444

[abs][Download PDF]

A Good Start Matters: Enhancing Continual Learning with Data-Driven Weight Initialization

Md Yousuf Harun, Christopher Kanan; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:445-464

[abs][Download PDF]

Revisiting Replay and Gradient Alignment for Continual Pre-Training of Large Language Models

Istabrak Abbes, Gopeshh Subbaraj, Matthew Riemer, Nizar Islah, Tsuguchika Tabaru, Hiroaki Kingetsu, Sarath Chandar, Irina Rish; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:465-486

[abs][Download PDF]

Teach YOLO to Remember: A Self-Distillation Approach for Continual Object Detection

Riccardo De Monte, Davide Dalle Pezze, Gian Antonio Susto; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:487-499

[abs][Download PDF]

Reevaluating Meta-Learning Optimization Algorithms Through Contextual Self-Modulation

Roussel Desmond Nzoyem, David A.W. Barton, Tom Deakin; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:500-524

[abs][Download PDF]

NoProp: Training Neural Networks without Back-propagation or Forward-propagation

Qinyu Li, Yee Whye Teh, Razvan Pascanu; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:525-544

[abs][Download PDF]

Replay Consolidation with Label Propagation for Continual Object Detection

Riccardo De Monte, Davide Dalle Pezze, Marina Ceccon, Francesco Pasti, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto, Nicola Bellotto; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:545-564

[abs][Download PDF]

Prediction-Oriented Subsampling from Data Streams

Benedetta Lavinia Mussati, Freddie Bickford Smith, Tom Rainforth, S Roberts; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:565-580

[abs][Download PDF]

On Supernet Transfer Learning for Effective Task Adaptation

Prabhant Singh, Joaquin Vanschoren; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:581-597

[abs][Download PDF]

Using Partition-Tree Weighting and MAML for Continual and Online Learning

Anna Koop, Michael Bowling, Michael Bradley Johanson; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:598-611

[abs][Download PDF]

SECURE: Semantics-aware Embodied Conversation under Unawareness for Lifelong Robot Learning

Rimvydas Rubavicius, Peter David Fagan, Alex Lascarides, Subramanian Ramamoorthy; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:612-634

[abs][Download PDF]

What can grokking teach us about learning under non-stationarity?

Clare Lyle, Ghada Sokar, András György, Razvan Pascanu; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:635-656

[abs][Download PDF]

Self-Regulated Neurogenesis for Online Data-Incremental Learning

Murat Onur Yildirim, Elif Ceren Gok Yildirim, Decebal Constantin Mocanu, Joaquin Vanschoren; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:657-671

[abs][Download PDF]

Beyond Cosine Decay: On the effectiveness of Infinite Learning Rate Schedule for Continual Pre-training

Vaibhav Singh, Paul Janson, Paria Mehrbod, Adam Ibrahim, Irina Rish, Eugene Belilovsky, Benjamin Thérien; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:672-695

[abs][Download PDF]

CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation

Shishir Muralidhara, Didier Stricker, René Schuster; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:696-712

[abs][Download PDF]

Data-dependent and Oracle Bounds on Forgetting in Continual Learning

Lior Friedman, Ron Meir; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:713-735

[abs][Download PDF]

Improving Multimodal Large Language Models Using Continual Learning

Shikhar Srivastava, Md Yousuf Harun, Robik Singh Shrestha, Christopher Kanan; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:736-755

[abs][Download PDF]

CLA: Latent Alignment for Online Continual Self-Supervised Learning

Giacomo Cignoni, Andrea Cossu, Alexandra Gomez-Villa, Joost van de Weijer, Antonio Carta; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:756-775

[abs][Download PDF]

Reinitializing weights vs units for maintaining plasticity in neural networks

J. Fernando Hernandez-Garcia, Shibhansh Dohare, Jun Luo, Richard S. Sutton; Proceedings of The 4th Conference on Lifelong Learning Agents, PMLR 330:776-806

[abs][Download PDF]