:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Mitchell, Rupert, Alliegro, Antonio, Camoriano, Raffaello, Carrión-Ojeda, Dustin, Carta, Antonio, Chalvatzaki, Georgia, Churamani, Nikhil, D'Eramo, Carlo, Hamidi, Samin, Hesse, Robin, Hinder, Fabian, Kamath, Roshni Ramanna, Lomonaco, Vincenzo, Paul, Subarnaduti, Pistilli, Francesca, Tuytelaars, Tinne, van de Ven, Gido M, Kersting, Kristian, Schaub-Meyer, Simone, Mundt, Martin
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2502.11927
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Forgetting of task-specific knowledge in model merging-based continual learning
by: Hess, Timm, et al.
Published: (2025)

Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How
by: Hess, Timm, et al.
Published: (2023)

Prediction Error-based Classification for Class-Incremental Learning
by: Zając, Michał, et al.
Published: (2023)

BOWL: A Deceptively Simple Open World Learner
by: Kamath, Roshni . R., et al.
Published: (2024)

Masked Autoencoders are Efficient Continual Federated Learners
by: Paul, Subarnaduti, et al.
Published: (2023)

Putting a Face to Forgetting: Continual Learning meets Mechanistic Interpretability
by: Masip, Sergi, et al.
Published: (2026)

Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting
by: Hess, Timm, et al.
Published: (2023)

Continual Learning of Diffusion Models with Generative Distillation
by: Masip, Sergi, et al.
Published: (2023)

Core Tokensets for Data-efficient Sequential Training of Transformers
by: Paul, Subarnaduti, et al.
Published: (2024)

FORESCENE: FOREcasting human activity via latent SCENE graphs diffusion
by: Alliegro, Antonio, et al.
Published: (2025)

Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization
by: Dziadzio, Sebastian, et al.
Published: (2023)

A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives
by: Peirone, Simone Alberto, et al.
Published: (2024)

Light to Heavy, Brief to Eternal: An Axion for Every Occasion (in the Early Universe)
by: D'Eramo, Francesco
Published: (2026)

MaskPlanner: Learning-Based Object-Centric Motion Generation from 3D Point Clouds
by: Tiboni, Gabriele, et al.
Published: (2025)

Hier-EgoPack: Hierarchical Egocentric Video Understanding with Diverse Task Perspectives
by: Peirone, Simone Alberto, et al.
Published: (2025)

Learning reusable concepts across different egocentric video understanding tasks
by: Peirone, Simone Alberto, et al.
Published: (2025)

Domain Randomization via Entropy Maximization
by: Tiboni, Gabriele, et al.
Published: (2023)

CHRONOBERG: Capturing Language Evolution and Temporal Awareness in Foundation Models
by: Hegde, Niharika, et al.
Published: (2025)

Learning to Explore in Diverse Reward Settings via Temporal-Difference-Error Maximization
by: Griesbach, Sebastian, et al.
Published: (2025)

Axion Portal to Scalar Dark Matter: Unveiling Stabilizing Symmetry Footprints
by: D'Eramo, Francesco, et al.
Published: (2025)

Deterministic Exploration via Stationary Bellman Error Maximization
by: Griesbach, Sebastian, et al.
Published: (2024)

Back to the phase space: thermal axion dark radiation via couplings to standard model fermions
by: D'Eramo, Francesco, et al.
Published: (2024)

Probing Non-Minimal Dark Sectors via the 21 cm Line at Cosmic Dawn
by: Cima, Federico, et al.
Published: (2025)

Cross-Modal Prototype Alignment and Mixing for Training-Free Few-Shot Classification
by: Goswami, Dipam, et al.
Published: (2026)

Predicting the Susceptibility of Examples to Catastrophic Forgetting
by: Hacohen, Guy, et al.
Published: (2024)

Remembering by Reconstructing: Domain Incremental Learning With Test-Time Training on Video Streams
by: Swinnen, Jonathan, et al.
Published: (2026)

Implicit Gaussian Splatting with Efficient Multi-Level Tri-Plane Representation
by: Wu, Minye, et al.
Published: (2024)

Analysis of Spatial augmentation in Self-supervised models in the purview of training and test distributions
by: Jha, Abhishek, et al.
Published: (2024)

Distributional value gradients for stochastic environments
by: Debes, Baptiste, et al.
Published: (2026)

Multivariate Distributional Reinforcement Learning Using Sliced Divergences
by: Debes, Baptiste, et al.
Published: (2026)

The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation
by: Mundt, Martin, et al.
Published: (2025)

Accelerating Heterogeneous Federated Learning with Closed-form Classifiers
by: Fanì, Eros, et al.
Published: (2024)

On the Computation of the Fisher Information in Continual Learning
by: van de Ven, Gido M.
Published: (2025)

Where is the Truth? The Risk of Getting Confounded in a Continual World
by: Busch, Florian Peter, et al.
Published: (2024)

Dark Matter Freeze-In and Small-Scale Observables: Novel Mass Bounds and Viable Particle Candidates
by: D'Eramo, Francesco, et al.
Published: (2025)

Ultralight Dark Matter from the Edge of Field Space
by: Becker, Mathias, et al.
Published: (2025)

Seasons of Dark Matter Freeze-In Shaped by the Weather of the Early Universe
by: D'Eramo, Francesco, et al.
Published: (2025)

Cosmic-Ray Signatures of Annihilating and Semi-Annihilating Dark Matter via One-Step Cascades
by: D'Eramo, Francesco, et al.
Published: (2026)

Irreducible cosmological backgrounds of a real scalar with a broken symmetry
by: D'Eramo, Francesco, et al.
Published: (2024)

Dark Radiation from the Primordial Thermal Bath in Momentum Space
by: D'Eramo, Francesco, et al.
Published: (2023)