Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization
Fuente:
arXiv
Saved in:
| Main Authors: | Dziadzio, Sebastian, Yıldız, Çağatay, van de Ven, Gido M., Trzciński, Tomasz, Tuytelaars, Tinne, Bethge, Matthias |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How
by: Hess, Timm, et al.
Published: (2023)
by: Hess, Timm, et al.
Published: (2023)
Continual Learning of Diffusion Models with Generative Distillation
by: Masip, Sergi, et al.
Published: (2023)
by: Masip, Sergi, et al.
Published: (2023)
Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting
by: Hess, Timm, et al.
Published: (2023)
by: Hess, Timm, et al.
Published: (2023)
Prediction Error-based Classification for Class-Incremental Learning
by: Zając, Michał, et al.
Published: (2023)
by: Zając, Michał, et al.
Published: (2023)
Forgetting of task-specific knowledge in model merging-based continual learning
by: Hess, Timm, et al.
Published: (2025)
by: Hess, Timm, et al.
Published: (2025)
Putting a Face to Forgetting: Continual Learning meets Mechanistic Interpretability
by: Masip, Sergi, et al.
Published: (2026)
by: Masip, Sergi, et al.
Published: (2026)
On the Computation of the Fisher Information in Continual Learning
by: van de Ven, Gido M.
Published: (2025)
by: van de Ven, Gido M.
Published: (2025)
Cross-Modal Prototype Alignment and Mixing for Training-Free Few-Shot Classification
by: Goswami, Dipam, et al.
Published: (2026)
by: Goswami, Dipam, et al.
Published: (2026)
Remembering by Reconstructing: Domain Incremental Learning With Test-Time Training on Video Streams
by: Swinnen, Jonathan, et al.
Published: (2026)
by: Swinnen, Jonathan, et al.
Published: (2026)
Continual Learning and Catastrophic Forgetting
by: van de Ven, Gido M., et al.
Published: (2024)
by: van de Ven, Gido M., et al.
Published: (2024)
Implicit Gaussian Splatting with Efficient Multi-Level Tri-Plane Representation
by: Wu, Minye, et al.
Published: (2024)
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)
by: Jha, Abhishek, et al.
Published: (2024)
Revisiting Supervision for Continual Representation Learning
by: Marczak, Daniel, et al.
Published: (2023)
by: Marczak, Daniel, et al.
Published: (2023)
ONEBench to Test Them All: Sample-Level Benchmarking Over Open-Ended Capabilities
by: Ghosh, Adhiraj, et al.
Published: (2024)
by: Ghosh, Adhiraj, et al.
Published: (2024)
Continual Learning: Applications and the Road Forward
by: Verwimp, Eli, et al.
Published: (2023)
by: Verwimp, Eli, et al.
Published: (2023)
MagMax: Leveraging Model Merging for Seamless Continual Learning
by: Marczak, Daniel, et al.
Published: (2024)
by: Marczak, Daniel, et al.
Published: (2024)
Charm: The Missing Piece in ViT fine-tuning for Image Aesthetic Assessment
by: Behrad, Fatemeh, et al.
Published: (2025)
by: Behrad, Fatemeh, et al.
Published: (2025)
PEO: Training-Free Aesthetic Quality Enhancement in Pre-Trained Text-to-Image Diffusion Models with Prompt Embedding Optimization
by: Margaryan, Hovhannes, et al.
Published: (2025)
by: Margaryan, Hovhannes, et al.
Published: (2025)
RGS-DR: Deferred Reflections and Residual Shading in 2D Gaussian Splatting
by: Kouros, Georgios, et al.
Published: (2025)
by: Kouros, Georgios, et al.
Published: (2025)
Object-Centric Pretraining via Target Encoder Bootstrapping
by: Đukić, Nikola, et al.
Published: (2025)
by: Đukić, Nikola, et al.
Published: (2025)
Spec-Gloss Surfels and Normal-Diffuse Priors for Relightable Glossy Objects
by: Kouros, Georgios, et al.
Published: (2025)
by: Kouros, Georgios, et al.
Published: (2025)
Same accuracy, twice as fast: continuous training surpasses retraining from scratch
by: Verwimp, Eli, et al.
Published: (2025)
by: Verwimp, Eli, et al.
Published: (2025)
Eff-GRot: Efficient and Generalizable Rotation Estimation with Transformers
by: Mathioulakis, Fanis, et al.
Published: (2025)
by: Mathioulakis, Fanis, et al.
Published: (2025)
How to Merge Your Multimodal Models Over Time?
by: Dziadzio, Sebastian, et al.
Published: (2024)
by: Dziadzio, Sebastian, et al.
Published: (2024)
Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery
by: Rypeść, Grzegorz, et al.
Published: (2023)
by: Rypeść, Grzegorz, et al.
Published: (2023)
OASIS: Online Sample Selection for Continual Visual Instruction Tuning
by: Lee, Minjae, et al.
Published: (2025)
by: Lee, Minjae, et al.
Published: (2025)
A Practitioner's Guide to Continual Multimodal Pretraining
by: Roth, Karsten, et al.
Published: (2024)
by: Roth, Karsten, et al.
Published: (2024)
Visually-Aware Context Modeling for News Image Captioning
by: Qu, Tingyu, et al.
Published: (2023)
by: Qu, Tingyu, et al.
Published: (2023)
Introducing Routing Functions to Vision-Language Parameter-Efficient Fine-Tuning with Low-Rank Bottlenecks
by: Qu, Tingyu, et al.
Published: (2024)
by: Qu, Tingyu, et al.
Published: (2024)
Towards More Accurate Personalized Image Generation: Addressing Overfitting and Evaluation Bias
by: Li, Mingxiao, et al.
Published: (2025)
by: Li, Mingxiao, et al.
Published: (2025)
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation
by: Sójka, Damian, et al.
Published: (2023)
by: Sójka, Damian, et al.
Published: (2023)
Unsupervised Parameter Efficient Source-free Post-pretraining
by: Jha, Abhishek, et al.
Published: (2025)
by: Jha, Abhishek, et al.
Published: (2025)
Divide and not forget: Ensemble of selectively trained experts in Continual Learning
by: Rypeść, Grzegorz, et al.
Published: (2024)
by: Rypeść, Grzegorz, et al.
Published: (2024)
Exploring the Stability Gap in Continual Learning: The Role of the Classification Head
by: Łapacz, Wojciech, et al.
Published: (2024)
by: Łapacz, Wojciech, et al.
Published: (2024)
DM-Align: Leveraging the Power of Natural Language Instructions to Make Changes to Images
by: Trusca, Maria Mihaela, et al.
Published: (2024)
by: Trusca, Maria Mihaela, et al.
Published: (2024)
Investigating Continual Pretraining in Large Language Models: Insights and Implications
by: Yıldız, Çağatay, et al.
Published: (2024)
by: Yıldız, Çağatay, et al.
Published: (2024)
Sprite Sheet Diffusion: Generate Game Character for Animation
by: Hsieh, Cheng-An, et al.
Published: (2024)
by: Hsieh, Cheng-An, et al.
Published: (2024)
Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning
by: Rypeść, Grzegorz, et al.
Published: (2024)
by: Rypeść, Grzegorz, et al.
Published: (2024)
Neural Bloom: A Deep Learning Approach to Real-Time Lighting
by: Karp, Rafal, et al.
Published: (2025)
by: Karp, Rafal, et al.
Published: (2025)
Multivariate Distributional Reinforcement Learning Using Sliced Divergences
by: Debes, Baptiste, et al.
Published: (2026)
by: Debes, Baptiste, et al.
Published: (2026)
Similar Items
-
Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How
by: Hess, Timm, et al.
Published: (2023) -
Continual Learning of Diffusion Models with Generative Distillation
by: Masip, Sergi, et al.
Published: (2023) -
Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting
by: Hess, Timm, et al.
Published: (2023) -
Prediction Error-based Classification for Class-Incremental Learning
by: Zając, Michał, et al.
Published: (2023) -
Forgetting of task-specific knowledge in model merging-based continual learning
by: Hess, Timm, et al.
Published: (2025)