Doubly Perturbed Task Free Continual Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Lee, Byung Hyun, Oh, Min-hwan, Chun, Se Young |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unlearning the Unpromptable: Prompt-free Instance Unlearning in Diffusion Models
by: Lee, Kyungryeol, et al.
Published: (2026)
by: Lee, Kyungryeol, et al.
Published: (2026)
Concept Pinpoint Eraser for Text-to-image Diffusion Models via Residual Attention Gate
by: Lee, Byung Hyun, et al.
Published: (2025)
by: Lee, Byung Hyun, et al.
Published: (2025)
Localized Concept Erasure for Text-to-Image Diffusion Models Using Training-Free Gated Low-Rank Adaptation
by: Lee, Byung Hyun, et al.
Published: (2025)
by: Lee, Byung Hyun, et al.
Published: (2025)
Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis
by: Lee, Byung Hyun, et al.
Published: (2025)
by: Lee, Byung Hyun, et al.
Published: (2025)
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
by: Lee, Gihun, et al.
Published: (2023)
by: Lee, Gihun, et al.
Published: (2023)
Semantic-Aware Gaussian Process Calibration with Structured Layerwise Kernels for Deep Neural Networks
by: Lee, Kyung-hwan, et al.
Published: (2025)
by: Lee, Kyung-hwan, et al.
Published: (2025)
Gradient-free Decoder Inversion in Latent Diffusion Models
by: Hong, Seongmin, et al.
Published: (2024)
by: Hong, Seongmin, et al.
Published: (2024)
Denoising Task Difficulty-based Curriculum for Training Diffusion Models
by: Kim, Jin-Young, et al.
Published: (2024)
by: Kim, Jin-Young, et al.
Published: (2024)
Learning Symmetries via Weight-Sharing with Doubly Stochastic Tensors
by: van der Linden, Putri A., et al.
Published: (2024)
by: van der Linden, Putri A., et al.
Published: (2024)
Adaptive Residual Transformation for Enhanced Feature-Based OOD Detection in SAR Imagery
by: Lee, Kyung-hwan, et al.
Published: (2024)
by: Lee, Kyung-hwan, et al.
Published: (2024)
CapeLLM: Support-Free Category-Agnostic Pose Estimation with Multimodal Large Language Models
by: Kim, Junho, et al.
Published: (2024)
by: Kim, Junho, et al.
Published: (2024)
Measurement-Consistent Langevin Corrector for Stabilizing Latent Diffusion Inverse Problem Solvers
by: Hyoseok, Lee, et al.
Published: (2026)
by: Hyoseok, Lee, et al.
Published: (2026)
Consistent Prompting for Rehearsal-Free Continual Learning
by: Gao, Zhanxin, et al.
Published: (2024)
by: Gao, Zhanxin, et al.
Published: (2024)
Skrr: Skip and Re-use Text Encoder Layers for Memory Efficient Text-to-Image Generation
by: Seo, Hoigi, et al.
Published: (2025)
by: Seo, Hoigi, et al.
Published: (2025)
Doubly Stochastic Mean-Shift Clustering
by: Trigano, Tom, et al.
Published: (2026)
by: Trigano, Tom, et al.
Published: (2026)
Towards Redundancy-Free Sub-networks in Continual Learning
by: Chen, Cheng, et al.
Published: (2023)
by: Chen, Cheng, et al.
Published: (2023)
GACL: Exemplar-Free Generalized Analytic Continual Learning
by: Zhuang, Huiping, et al.
Published: (2024)
by: Zhuang, Huiping, et al.
Published: (2024)
Learning 3D Scene Analogies with Neural Contextual Scene Maps
by: Kim, Junho, et al.
Published: (2025)
by: Kim, Junho, et al.
Published: (2025)
I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning
by: Dong, Songlin, et al.
Published: (2024)
by: Dong, Songlin, et al.
Published: (2024)
Erasing Thousands of Concepts: Towards Scalable and Practical Concept Erasure for Text-to-Image Diffusion Models
by: Seo, Hoigi, et al.
Published: (2026)
by: Seo, Hoigi, et al.
Published: (2026)
Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models
by: Ahrens, Kyra, et al.
Published: (2023)
by: Ahrens, Kyra, et al.
Published: (2023)
STAR: Stability-Inducing Weight Perturbation for Continual Learning
by: Eskandar, Masih, et al.
Published: (2025)
by: Eskandar, Masih, et al.
Published: (2025)
Multi-modal Representation Learning for Cross-modal Prediction of Continuous Weather Patterns from Discrete Low-Dimensional Data
by: Qayyum, Alif Bin Abdul, et al.
Published: (2024)
by: Qayyum, Alif Bin Abdul, et al.
Published: (2024)
Confounder-Free Continual Learning via Recursive Feature Normalization
by: Shah, Yash, et al.
Published: (2025)
by: Shah, Yash, et al.
Published: (2025)
Rehearsal-free and Task-free Online Continual Learning With Contrastive Prompt
by: Wang, Aopeng, et al.
Published: (2025)
by: Wang, Aopeng, et al.
Published: (2025)
Attention Frequency Modulation: Training-Free Spectral Modulation of Diffusion Cross-Attention
by: Oh, Seunghun, et al.
Published: (2026)
by: Oh, Seunghun, et al.
Published: (2026)
Deep Internal Learning: Deep Learning from a Single Input
by: Tirer, Tom, et al.
Published: (2023)
by: Tirer, Tom, et al.
Published: (2023)
Geometrical Properties of Text Token Embeddings for Strong Semantic Binding in Text-to-Image Generation
by: Seo, Hoigi, et al.
Published: (2025)
by: Seo, Hoigi, et al.
Published: (2025)
Improving Transformation-based Defenses against Adversarial Examples with First-order Perturbations
by: Zhang, Haimin, et al.
Published: (2021)
by: Zhang, Haimin, et al.
Published: (2021)
FREE: Faster and Better Data-Free Meta-Learning
by: Wei, Yongxian, et al.
Published: (2024)
by: Wei, Yongxian, et al.
Published: (2024)
A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning
by: Lee, Chungpa, et al.
Published: (2025)
by: Lee, Chungpa, et al.
Published: (2025)
Scaling Continual Learning to 300+ Tasks with Bi-Level Routing Mixture-of-Experts
by: Lou, Meng, et al.
Published: (2026)
by: Lou, Meng, et al.
Published: (2026)
Where and How to Perturb: On the Design of Perturbation Guidance in Diffusion and Flow Models
by: Ahn, Donghoon, et al.
Published: (2025)
by: Ahn, Donghoon, et al.
Published: (2025)
Tuning-Free Multi-Event Long Video Generation via Synchronized Coupled Sampling
by: Kim, Subin, et al.
Published: (2025)
by: Kim, Subin, et al.
Published: (2025)
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
by: Huang, Wei-Cheng, et al.
Published: (2024)
by: Huang, Wei-Cheng, et al.
Published: (2024)
The impact of model size on catastrophic forgetting in Online Continual Learning
by: Lee, Eunhae
Published: (2024)
by: Lee, Eunhae
Published: (2024)
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
by: Goswami, Dipam, et al.
Published: (2023)
by: Goswami, Dipam, et al.
Published: (2023)
Uncolorable Examples: Preventing Unauthorized AI Colorization via Perception-Aware Chroma-Restrictive Perturbation
by: Nii, Yuki, et al.
Published: (2025)
by: Nii, Yuki, et al.
Published: (2025)
Theoretical Understanding of Learning from Adversarial Perturbations
by: Kumano, Soichiro, et al.
Published: (2024)
by: Kumano, Soichiro, 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)
Similar Items
-
Unlearning the Unpromptable: Prompt-free Instance Unlearning in Diffusion Models
by: Lee, Kyungryeol, et al.
Published: (2026) -
Concept Pinpoint Eraser for Text-to-image Diffusion Models via Residual Attention Gate
by: Lee, Byung Hyun, et al.
Published: (2025) -
Localized Concept Erasure for Text-to-Image Diffusion Models Using Training-Free Gated Low-Rank Adaptation
by: Lee, Byung Hyun, et al.
Published: (2025) -
Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis
by: Lee, Byung Hyun, et al.
Published: (2025) -
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
by: Lee, Gihun, et al.
Published: (2023)