Cover Image

Lost or Hidden? A Concept-Level Forgetting in Supervised Continual Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Filus, Katarzyna, Faber, Kamil, Corizzo, Roberto, Kanan, Christopher
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence 68T07 I.2; I.2.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning
by: Książek, Kamil, et al.
Published: (2023)

The Concept Allocation Zone: Tracking How Concepts Form Across Transformer Depth
by: Henry, James
Published: (2026)

A Practical Guide to Streaming Continual Learning
by: Cossu, Andrea, et al.
Published: (2026)

Geometric Evolution Maps: Extracting Stable Concept Probes from Transformer Residual Streams
by: Henry, James
Published: (2026)

Don't Look Back in Anger: MAGIC Net for Streaming Continual Learning with Temporal Dependence
by: Giannini, Federico, et al.
Published: (2026)

Concept Prerequisite Relation Prediction by Using Permutation-Equivariant Directed Graph Neural Networks
by: Qu, Xiran, et al.
Published: (2023)

Neural Concept Verifier: Scaling Prover-Verifier Games via Concept Encodings
by: Turan, Berkant, et al.
Published: (2025)

cPNN: Continuous Progressive Neural Networks for Evolving Streaming Time Series
by: Giannini, Federico, et al.
Published: (2026)

FeNeC: Enhancing Continual Learning via Feature Clustering with Neighbor- or Logit-Based Classification
by: Książek, Kamil, et al.
Published: (2025)

Multi-Level Fusion Graph Neural Network for Molecule Property Prediction
by: Liu, XiaYu, et al.
Published: (2025)

Simple Network Graph Comparative Learning
by: Yu, Qiang, et al.
Published: (2026)

Upside Down Reinforcement Learning with Policy Generators
by: Di Ventura, Jacopo, et al.
Published: (2025)

CGLearn: Consistent Gradient-Based Learning for Out-of-Distribution Generalization
by: Chowdhury, Jawad, et al.
Published: (2024)

Mapping representations in Reinforcement Learning via Semantic Alignment for Zero-Shot Stitching
by: Ricciardi, Antonio Pio, et al.
Published: (2025)

NeuronSpark: A Spiking Neural Network Language Model with Selective State Space Dynamics
by: Tang, Zhengzheng
Published: (2026)

A Machine Learning Framework for Turbofan Health Estimation via Inverse Problem Formulation
by: Leyli-Abadi, Milad, et al.
Published: (2026)

Decentralized Time Series Classification with ROCKET Features
by: Casella, Bruno, et al.
Published: (2025)

Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality
by: Ged, François, et al.
Published: (2023)

From Features to Graphs: Exploring Graph Structures and Pairwise Interactions via GNNs
by: Yamchote, Phaphontee, et al.
Published: (2025)

SafeAnchor: Preventing Cumulative Safety Erosion in Continual Domain Adaptation of Large Language Models
by: Guo, Dongxin, et al.
Published: (2026)

Streaming Continual Learning for Unified Adaptive Intelligence in Dynamic Environments
by: Giannini, Federico, et al.
Published: (2026)

Semantically Guided Adversarial Testing of Vision Models Using Language Models
by: Filus, Katarzyna, et al.
Published: (2025)

SafeAgent: Safeguarding LLM Agents via an Automated Risk Simulator
by: Zhou, Xueyang, et al.
Published: (2025)

Semantic Reward Collapse and the Preservation of Epistemic Integrity in Adaptive AI Systems
by: Parris, William
Published: (2026)

ProactBench: Beyond What The User Asked For
by: Harfi, Sepehr, et al.
Published: (2026)

Graph2Tac: Online Representation Learning of Formal Math Concepts
by: Blaauwbroek, Lasse, et al.
Published: (2024)

How Pruning Reshapes Features: Sparse Autoencoder Analysis of Weight-Pruned Language Models
by: Borobia, Hector, et al.
Published: (2026)

On Privacy Leakage in Tabular Diffusion Models: Influential Factors, Attacker Knowledge, and Metrics
by: Shafieinejad, Masoumeh, et al.
Published: (2026)

Developing Explainable Machine Learning Model using Augmented Concept Activation Vector
by: Hassanpour, Reza, et al.
Published: (2024)

Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design
by: Pepe, Alberto, et al.
Published: (2026)

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection
by: Wu, Chengcan, et al.
Published: (2025)

HGTUL: A Hypergraph-based Model For Trajectory User Linking
by: Chang, Fengjie, et al.
Published: (2025)

Is ReLU Adversarially Robust?
by: Sooksatra, Korn, et al.
Published: (2024)

Causal Dimensionality of Transformer Representations: Measurement, Scaling, and Layer Structure
by: Sarkar, Nilesh, et al.
Published: (2026)

DeepPersona: A Generative Engine for Scaling Deep Synthetic Personas
by: Wang, Zhen, et al.
Published: (2025)

Contrastive Consolidation of Top-Down Modulations Achieves Sparsely Supervised Continual Learning
by: Tran, Viet Anh Khoa, et al.
Published: (2025)

Why Geometric Continuity Emerges in Deep Neural Networks: Residual Connections and Rotational Symmetry Breaking
by: Jeong, Kyungwon, et al.
Published: (2026)

Thinking Machines: Mathematical Reasoning in the Age of LLMs
by: Asperti, Andrea, et al.
Published: (2025)

Safe Continual Reinforcement Learning Methods for Nonstationary Environments. Towards a Survey of the State of the Art
by: Tomashevskiy, Timofey
Published: (2026)

CLMN: Concept based Language Models via Neural Symbolic Reasoning
by: Yang, Yibo
Published: (2025)