Plasticity

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11 papers in the last four weeks, up 57% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

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Two Routes to the Middle: Placement Search and Brain Readouts Converge on Where Continual Learners Should Specialize
Oct 1, 2026Yuan Huang, Zihan Chen, Runbin Zhang +3Human Visual Cortex Self-Supervised Vision Transformers
Northeastern University
Continual Reinforcement Learning with Neuroevolution
Oct 1, 2026Eleni Nisioti, Andrea Cossu, Kathrin Korte +1Neuroevolution Plasticity
IT University of Copenhagen · University of Pisa · Sakana AI
Generalized Residual Closure: General Learning Dynamics for Stability-Plasticity Compatibility
Sep 30, 2026Dongxu Li, Yinuo Zhang, Hongyu Zhang +1Plasticity Learning Dynamics
Xi’an Jiaotong University · Xi’an University of Architecture and Technology
Learn Here, Move Less Elsewhere: Input-Conditioned Plasticity from Retained-Domain Activation Atlases
Sep 28, 2026Jiangtao Lin, Bangyang Wei, Yihang Ding +2Atlas Domain Invariance
Tsinghua Shenzhen International Graduate School, Tsinghua University · School of Vehicle and Mobility, Tsinghua University · SZ DJI Technology Co., Ltd. +1
Learning Dynamics of Continual Learning: A Unified View of Data Attribution, Forgetting, and Plasticity Loss
Sep 27, 2026Yi Ren, Wenlong Deng, Guanzhe Hong +2Continual Learning Learning Dynamics
OATML · University of Oxford · UBC +1
Temperament Engineering: Designing Strategic Behavioural Diversity in Robot Swarms
Sep 24, 2026Edmund R. HuntSwarms Bio-Inspired Framework
School of Engineering Mathematics & Technology, University of Bristol, Ada Lovelace Building, Tankard’s Cl, Bristol, BS8 1TW, United Kingdom.
An Analysis of Streaming Deep Reinforcement Learning for Adaptive Continual Learning in Robotics
Sep 23, 2026Teeratham Vitchutripop, Alyssa Quarles, Wenhe Zhang +2Scalable Robot Learning Plasticity
Department of Computer Science, Yale University, New Haven, CT 06520, USA
Past, Future, All at Once: Mitigating Stability-Plasticity Dilemma via Post-hoc JANUS Rectification
Sep 17, 2026Zhilong Zheng, Letian Tao, Yang Guan +7Parameter-Efficient Adaptation Catastrophic Forgetting
School of Vehicle and Mobility & College of AI, Tsinghua University · Didi Voyager Labs, DiDi Autonomous Driving
A Bellman Optimality Equation for Plasticity
Sep 11, 2026Jeremy Lucas, Doina PrecupPlasticity Bellman Equation
Mila – Quebec Artificial Intelligence Institute Montreal, Quebec, Canada
TASTE: Throughput-Aware Batch Size Tuning for On-Device Edge Learning
Sep 7, 2026Avik Bhatnagar, Federico Nicolas Peccia, Oliver BringmannEdge Devices Batch
FZI Research Center for Information Technology, University of Tübingen Germany
Constitutive State-Space Modeling of Path-Dependent Plasticity: A Resolution-Consistent and Parallelizable Computational Framework
Sep 7, 2026Rui Barreira, Taylan Soydan, Francesco Scipione +2State Space Models Plasticity
Chair of Artificial Intelligence in Mechanics and Manufacturing, ETH Zurich, Switzerland · inspire AG, Zurich, Switzerland · School of Engineering, Brown University, Providence, Rhode Island, USA
SELECT: SELEctive Context Transfer for Class-Incremental Semantic Segmentation
Aug 31, 2026Avi Gupta, Saurabh Yadav, Koteswar Rao Jerripothula +1Efficient Semantic Segmentation Class-Incremental Learning
IIIT Delhi · Microsoft, India · IIT Kanpur +1
Mycelial Search: A Graph-Structured Metaheuristic for Continuous Optimisation
Aug 24, 2026Mohammad Mahdi DehshibiMetaheuristics Robust Optimization
Functional compatibility as a determinant of persistent neural learning
Aug 23, 2026Hossein JavidniaPlasticity Compatibility
School of Computing Dublin City University Dublin, Ireland
Harness Continual Learning: Continual Adaptation Beyond Model Parameters
Aug 19, 2026Borui Kang, Jinrui Gu, Junhan Lv +3Replay-Based Continual Learning Continual Learning
State Key Laboratory for Novel Software Technology, Nanjing University, China · University of Wollongong, Australia
Behavioral Reprogramming of Open-Weights Models: Cognitive Plasticity and Alignment Bounds
Aug 13, 2026Lucia MalíčkováAgent Behavior Modeling Improved Generalization
National Supercomputing Centre, Slovakia.
Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning
Aug 13, 2026Zeyang Zhang, Tieliang Gong, Junyan Lu +1Replay-Based Continual Learning Continual Learning
School of Computer Science and Technology, Xi’an Jiaotong University and Institute of Multimedia Knowledge Fusion and Engineering, Xi’an 710049, China
BPG: Balancing Plasticity and Generalization for Domain Incremental Learning
Aug 11, 2026Qiang Wang, Songlin Dong, Shaokun Wang +5Class-Incremental Learning Multimodal Domain Generalization
College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China · Shenzhen University of Advanced Technology, Shenzhen, China · Harbin Institute of Technology, Shenzhen, China +1
An active-learning framework for real-time depth perception from monocular vision streams
Aug 5, 2026Xiaorong Zeng, Weiqiang Chen, Peng Shi +4Mobilenetv2 Active Learning
School of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen, Fujian 361024, China · King Long United Automotive Industry Co. Ltd., Xiamen 361023, China · School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA 5005, Australia +2
MAGIC-SSCIL: Manifold Anchoring and Geometric Incremental Calibration for Semi-Supervised Class Incremental Learning
Aug 5, 2026Yousef Abdi, Mohammad Asadpour, Yousef SeyfariClass-Incremental Learning Plasticity
Faculty of Electrical and Computer Engineering, Universityof Tabriz, Tabriz, Iran · Faculty of Engineering, University of Maragheh, Maragheh,Iran
NeuMoSync: End-to-End Neuromodulatory Control for Plasticity and Adaptability in Continual Learning
Aug 5, 2026Seyed Roozbeh Razavi Rohani, Khashayar Khajavi, Wesley Chung +2Replay-Based Continual Learning Plasticity
Department of Computer Science Simon Fraser University · Department of Computer Science McGill Univeristy, Mila - Quebec AI Institute
Plasticity of Growing and Elastic Neural Networks in Online Continual Learning
Aug 2, 2026Jeong Min Kong, Richard S. SuttonPlasticity Replay-Based Continual Learning
Department of Electrical and Computer Engineering University of California, Los Angeles (UCLA) · Department of Computing Science University of Alberta Alberta Machine Intelligence Institute (Amii)
The Kinetics of Training: A Driven-Nucleation Rate Law for Emergence, Plasticity Loss, and Circuit Control in Language Models
Jul 29, 2026Lei DongPlasticity Circuits
Independent Researcher
Calibrated Partial Resets: Preventing Policy Collapse in Continual Reinforcement Learning
Jul 27, 2026Luc McCutcheon, Evangelos Chatzaroulas, Saber FallahReplay-Based Continual Learning Plasticity
Department of Mechanical Engineering, University of Surrey, United Kingdom · Department of Computing Science, University of Surrey, United Kingdom
Continual-RL for Generalization in Autonomous Racing on the RoboRacer Platform
Jul 27, 2026Joel Siegert, Edoardo Ghignone, Michele MagnoAutonomous Racing Reinforcement Learning Control
Center for Project-Based Learning, D-ITET, ETH Zurich
Learning to Access Computation: Accessibility Plasticity as a Principle of Adaptive Intelligence
Jul 23, 2026Zhaowen FanPlasticity Neural Dynamics
Department of Computer Science, Sichuan University
PRIME: Plasticity Recovery in Multi-Agent Environments for UAV-Assisted Emergency Communication Networks
Jul 20, 2026Wen Qiu, Zhiqiang He, Wei Zhao +1Multi-Agent Reinforcement Learning Multi-Agent Planning
Department of Information and Communication Engineering, Kitami Institute of Technology, Japan · Graduate School of Informatics and Engineering, University of Electro-Communications, Japan · School of Computer Science and Technology, Anhui University of Technology, China
Towards Human-like Physical Intelligence: LifelongVision-Language-Action Learning for Robotic Manipulation
Jul 16, 2026Yao He, Gan Sun, Wenqi Liang +2Diffusion-Based Vision-Language-Actions Vision-Language-Action Framework
South China University of Technology · University of Trento
Local Redundancy: An Information-Theoretic Measure of Plasticity from Synthetic Memorization
Jul 15, 2026Jiaxuan ChengPlasticity Singular Learning Theory
Massachusetts Institute of Technology, Cambridge, MA, USA.
Intrinsic-Noise Consolidation: A Doob-Barrier-Conditioned Diffusion Turns Analog Device Noise into a Continual-Learning Resource
Jul 8, 2026Gunner Levi HoweSynaptic Plasticity Analog
Creating Intelligence: A Computational Foundation for AGI
Jun 30, 2026Peter OvermannBrain-Inspired Synergistic Framework Dense Associative Memory
FastDSAC: Enhancing Policy Plasticity via Constrained Exploration for Scalable Humanoid Locomotion
Jun 30, 2026Guanchen Lu, Yajuan Dun, Yi Zhou +4Soft Actor-Critic Offline Reinforcement Learning
Chongqing University, Chongqing 400044, China · Ministry of Industry and Information Technology, Beijing 100804, China · Tsinghua University, Beijing 100084, China +1
Surprise as a Signal for Plasticity and Metacognition
Jun 30, 2026Louis MouchonEpisodic Memory Plasticity
Independent Research
Stagnant Neuron: Towards Understanding the Plasticity Loss in Multi-Agent Reinforcement Learning Value Factorization Methods
Jun 24, 2026Zhengzhu Liu, Zeming Gao, Haoyuan Qin +7Multi-Agent Reinforcement Learning Plasticity
Fujian Key Laboratory of Urban Intelligent Sensing and Computing, School of Informatics, Xiamen University (XMU), China · Key Laboratory of Multimedia Trusted Perception and Efficient Computing, XMU, China
Adaptive Hebbian Memory Routing in Vision Transformers for Few-Shot Learning
Jun 23, 2026Mohammed Yusuf Mujawar, Noorbakhsh Amiri GolilarzFew-Shot Learning Vision Transformer
Department of Computer Science The University of Alabama, Tuscaloosa, AL, USA
Can Scale Save Us From Plasticity Loss in Large Language Models?
Jun 23, 2026J. Fernando Hernandez-Garcia, Tomás Figliolia, Beren MillidgePlasticity Transformer Architectures
Zyphra San Francisco, CA
Parallel Manifold Steering: Efficient Adaptation of Large Associative Memories via Residual Energy Shaping
Jun 23, 2026Kanishk AwadhiyaDense Associative Memory Transformer Architectures
Independent Researcher
Distilling a Modular Reservoir Through a Genomic Bottleneck
Jun 20, 2026Mani Hamidi, Sina Khajehabdollahi, Charley M. Wu +1Reservoir Computing Recurrent Neural Networks
Department of Computer Science, University of Tübingen, Tübingen, Germany · Flowers Team Inria, Bordeaux, France · Max Planck Institute for Biological Cybernetics, Tübingen, Germany +3
Provably Sub-Linear Two-Timescale NeuroEvolution with Online Plasticity
Jun 18, 2026Shishen Lin, Yixin ChenNeuroevolution Learning-Based Control
Department of Statistics, University of Warwick, Coventry, United Kingdom · 2Biozentrum, University of Basel, Basel, Switzerland
Hybrid ANN-SNN Pipeline with Local Plasticity
Jun 18, 2026Denis Larionov, Khairutin Shtanchaev, Mikhail Kiselev +2Spiking Neural Networks Time-To-First-Spike
Chuvash State University, Cheboksary, Russia · LLC NForm, Moscow, Russia · Dagestan State Technical University, Makhachkala, Russia +1
Physics-Informed Discovery of Yield Functions in Plasticity via Convex Neural Representations
Jun 12, 2026Hyeonbin Moon, Donghyuk Cho, Jecheon Yu +2Finite Element Method Physics-Informed Learning
Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea · School of Engineering, Deakin University, 75 Pigdons Road, Waurn Ponds, Victoria, 3216, Australia · KAIST InnoCORE PRISM-AI Center, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea +1
MOSAIC: Modality-Specific Adaptation for Incremental Continual Learning in Parkinson's Disease Gait Assessment
Jun 11, 2026Minlin Zeng, Zhipeng Zhou, Yang Qiu +2Replay-Based Continual Learning Class-Incremental Learning
Nanyang Technological University, Singapore · Pacific Parkinson’s Research Centre, University of British Columbia, Canada
Preserving Plasticity in Continual Learning via Dynamical Isometry
Jun 8, 2026Andries Rosseau, Robert Müller, Ann NowéPlasticity Continual Learning
AI Lab, Vrije Universiteit Brussel · Aganthos
When RL Fails after SFT: Rejuvenating Model Plasticity for Robust SFT-to-RL Handoff
Jun 7, 2026Runze Liu, Jiashun Liu, Xu Wan +2Plasticity Neurons
Hong Kong University of Science and Technology · Zhejiang University · State Key Laboratory of Multimodal Artificial Intelligence Systems, CASIA
Theoretical Foundations of Continual Learning via Drift-Plus-Penalty
Jun 7, 2026Nazreen Shah, Govinda Arya, Bharath B. N. +1Replay-Based Continual Learning Continual Learning
IIIT Delhi · IIT Dharwad
Sparse Subspace-to-Expert Sharing for Task-Agnostic Continual Learning
Jun 5, 2026Fatema Siddika, Md Anwar Hossen, Tanwi Mallick +1Replay-Based Continual Learning Continual Learning
Iowa State University, Ames, USA · Argonne National Laboratory, USA
Re-Evaluating Continual Learning with Few-Shot Adaptation
Jun 2, 2026Amogh Inamdar, Matthew So, Vici Milenia +1Replay-Based Continual Learning Continual Learning
Department of Computer Science Columbia University
SaluNet: Enabling Total Plasticity in Normalization-Free Deep Networks
Jun 1, 2026Mourad ZaiedBatch Normalization Deep Network
University of Gabes, Tuisia · Department of electrical engineering National Engineering School of Gabes (ENIG) University of Gabes Avenue Omar Ibn El Khattab, Zrig Eddakhlania 6029, Gabes, Tunisia
Continual Learning as a Multiphase Moving-Boundary Problem
Jun 1, 2026Snigdha Chandan KhilarContinual Learning Plasticity
Independent Researcher
PEFT-Arena: Understanding Parameter-Efficient Finetuning from a Stability-Plasticity Perspective
May 27, 2026Yangyi Huang, Ruotian Peng, Zeju Qiu +4Parameter-Efficient Fine-Tuning Methods Model Fine-Tuning
The Chinese University of Hong Kong · Westlake University · MPI for Intelligent Systems
Janus-LoRA: A Balanced Low-Rank Adaptation for Continual Learning
May 27, 2026Cheng Chen, Pengpeng Zeng, Yuyu Guo +3Replay-Based Continual Learning Continual Learning
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China · School of Computer Science and Technology, Tongji University, Shanghai, China · Independent Researcher +1
Energy-Structured Low-Rank Adaptation for Continual Learning
May 26, 2026Longhua Li, Lei Qi, Qi Tian +1Replay-Based Continual Learning Continual Learning
School of Computer Science and Engineering, Southeast University, Nanjing, China · Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China · Huawei Technologies, Shenzhen, China
Architecture-driven Shift: towards a lightweight selector for capturing the trends of logit shift
May 26, 2026Zhong Ye, Yu Hu, Ruilin TangLogit Lens Parameter-Efficient Adaptation
School of Computer Science and Technology Guangdong University of Technology Guangzhou, China · School of Computer Science and Engineering2026 South China University of Technology Guangzhou, China
Balancing Plasticity and Stability with Fast and Slow Successor Features
May 25, 2026Raymond Chua, Doina Precup, Blake RichardsPlasticity Learning Dynamics
School of Computer Science, McGill University, Montr´eal, Canada · Mila - Quebec Artificial Intelligence Institute, Montr´eal, QC, Canada · CIFAR Learning in Machines and Brains +3
Scalable Reinforcement Learning via Adaptive Batch Scaling
May 20, 2026Jongchan ParkBatch Plasticity
Hyundai Motor Company
Normative Networks for Source Separation via Local Plasticity and Dendritic Computation
May 19, 2026Bariscan Bozkurt, Efe Ali Gorguner, Francesco Innocenti +1Independent Component Analysis Separation
Gatsby Computational Neuroscience Unit, University College London, UK · Brain Network Dynamics Unit, University of Oxford, UK · Department of Computer Science, University of Oxford, UK +1
Reconfigurable Nonlinear Photonic Networks for In-Situ Learning and Memory Formation via Driven-Dissipative Dynamics
May 19, 2026Isaac YorkePhotonic Transformer Accelerators Neuromorphic Computing
Department of Engineering and Architecture, University of Parma, Parco Area delle Scienze 181/A I-43124 Parma, Italy
MANGO: Meta-Adaptive Network Gradient Optimization for Online Continual Learning
May 18, 2026Ankita Awasthi, Marco Apolinario, Kaushik RoyReplay-Based Continual Learning Plasticity
Purdue University, USA · TU Delft, Netherlands
On the Stability of Growth in Structural Plasticity
May 14, 2026Lute Lillo, Nick CheneyPlasticity Growth
University of Vermont
NeuroTrain: Surveying Local Learning Rules for Spiking Neural Networks with an Open Benchmarking Framework
May 14, 2026Alessio Caviglia, Filippo Marostica, Roberta Bardini +2Spiking Neural Networks Neural Network Training
Politecnico di Torino, Control and Computer Engineering Department, Corso Duca degli Abruzzi 24, Torino, I-10129, , Italy

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Two Routes to the Middle: Placement Search and Brain Readouts Converge on Where Continual Learners Should Specialize

Yuan Huang, Zihan Chen, Runbin Zhang, Hongwei Ding+2

Northeastern University

Human Visual Cortex Self-Supervised Vision Transformers Visual Perception Plasticity Continual Learning

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Continual learners that keep a task-specific adapter in every block of a pre-trained vision transformer accumulate storage linearly with the number of tasks; keeping task-specific adapters in only a few blocks curbs this growth but raises the question of where to place them. We investigate this question from two perspectives. Algorithmically, training all contiguous four-block placements yields an inverted U: final accuracy peaks at intermediate depth and varies by up to 3.5 percentage points (pp), while inexpensive criteria based on weight spectra or activation statistics favor the deepest blocks. From neuroscience, the hierarchical organization and intermediate-stage plasticity of the visual cortex motivate us to ask whether a measurement taken outside the learner can guide layer specialization without placement search. LS-B observes the first tasks through a frozen fMRI encoding model of twelve human visual areas and commits task-specific capacity once to the blocks whose readouts vary most across tasks relative to their stable structure. Across three ViT-B/16 backbones, LS-B yields stable, backbone-specific allocations. On the two backbones with placement search, AugReg and iBOT, the selected blocks overlap the intermediate-depth region identified by search. Under matched storage and observation budgets, the selected blocks outperform the shallowest and deepest four-block configurations. On Split ImageNet-R, LS-B uses 60% of full-BiLoRA adapter storage while remaining within 1.5 pp of its final accuracy. The allocation requires no labels or backpropagation, adds under 0.6% runtime, and exhibits backbone-specific cortical signatures.

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