Saved in:
| Main Authors: | Park, Seoyoung, Lee, Haemin, Lee, Hankook |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.04420 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting
by: Lee, Jaebin, et al.
Published: (2025)
by: Lee, Jaebin, et al.
Published: (2025)
Communication-Efficient Federated Low-Rank Update Algorithm and its Connection to Implicit Regularization
by: Park, Haemin, et al.
Published: (2024)
by: Park, Haemin, et al.
Published: (2024)
Learning Equi-angular Representations for Online Continual Learning
by: Seo, Minhyuk, et al.
Published: (2024)
by: Seo, Minhyuk, et al.
Published: (2024)
Training-free Detection of AI-generated images via Cropping Robustness
by: Choi, Sungik, et al.
Published: (2025)
by: Choi, Sungik, et al.
Published: (2025)
Automatic Piecewise Linear Regression for Predicting Student Learning Satisfaction
by: Choi, Haemin, et al.
Published: (2025)
by: Choi, Haemin, et al.
Published: (2025)
From Offline to Online Memory-Free and Task-Free Continual Learning via Fine-Grained Hypergradients
by: Michel, Nicolas, et al.
Published: (2025)
by: Michel, Nicolas, et al.
Published: (2025)
Active Learning for Continual Learning: Keeping the Past Alive in the Present
by: Park, Jaehyun, et al.
Published: (2025)
by: Park, Jaehyun, et al.
Published: (2025)
SubDyve: Subgraph-Driven Dynamic Propagation for Virtual Screening Enhancement Controlling False Positive
by: Yi, Jungseob, et al.
Published: (2025)
by: Yi, Jungseob, et al.
Published: (2025)
Co-LoRA: Collaborative Model Personalization on Heterogeneous Multi-Modal Clients
by: Seo, Minhyuk, et al.
Published: (2025)
by: Seo, Minhyuk, et al.
Published: (2025)
Adaptive Replay Buffer for Offline-to-Online Reinforcement Learning
by: Song, Chihyeon, et al.
Published: (2025)
by: Song, Chihyeon, et al.
Published: (2025)
SVD-AE: Simple Autoencoders for Collaborative Filtering
by: Hong, Seoyoung, et al.
Published: (2024)
by: Hong, Seoyoung, et al.
Published: (2024)
ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection
by: Yoon, Sanghyu, et al.
Published: (2025)
by: Yoon, Sanghyu, et al.
Published: (2025)
Continual Reinforcement Learning by Planning with Online World Models
by: Liu, Zichen, et al.
Published: (2025)
by: Liu, Zichen, et al.
Published: (2025)
PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning
by: Ma'sum, M. Anwar, et al.
Published: (2025)
by: Ma'sum, M. Anwar, et al.
Published: (2025)
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
by: Lee, Daehee, et al.
Published: (2024)
by: Lee, Daehee, et al.
Published: (2024)
GRID: Scalable Task-Agnostic Prompt-Based Continual Learning for Language Models
by: Tiwari, Anushka, et al.
Published: (2025)
by: Tiwari, Anushka, et al.
Published: (2025)
Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs
by: Choi, Jeongwhan, et al.
Published: (2025)
by: Choi, Jeongwhan, et al.
Published: (2025)
Task Addition in Multi-Task Learning by Geometrical Alignment
by: Yim, Soorin, et al.
Published: (2024)
by: Yim, Soorin, et al.
Published: (2024)
Soft Contrastive Learning for Time Series
by: Lee, Seunghan, et al.
Published: (2023)
by: Lee, Seunghan, et al.
Published: (2023)
Learning to Embed Time Series Patches Independently
by: Lee, Seunghan, et al.
Published: (2023)
by: Lee, Seunghan, et al.
Published: (2023)
When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series
by: Park, Min-Yeong, et al.
Published: (2025)
by: Park, Min-Yeong, et al.
Published: (2025)
Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning
by: Park, Kwanyoung, et al.
Published: (2024)
by: Park, Kwanyoung, et al.
Published: (2024)
Learning the Model While Learning Q: Finite-Time Sample Complexity of Online SyncMBQ
by: Lim, Han-Dong, et al.
Published: (2024)
by: Lim, Han-Dong, et al.
Published: (2024)
Is Optimal Transport Necessary for Inverse Reinforcement Learning?
by: Dong, Zixuan, et al.
Published: (2025)
by: Dong, Zixuan, et al.
Published: (2025)
Are Human-generated Demonstrations Necessary for In-context Learning?
by: Li, Rui, et al.
Published: (2023)
by: Li, Rui, et al.
Published: (2023)
Set-based Meta-Interpolation for Few-Task Meta-Learning
by: Lee, Seanie, et al.
Published: (2022)
by: Lee, Seanie, et al.
Published: (2022)
Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning
by: Park, Jongchan, et al.
Published: (2025)
by: Park, Jongchan, et al.
Published: (2025)
PromptWise: Online Learning for Cost-Aware Prompt Assignment in Generative Models
by: Hu, Xiaoyan, et al.
Published: (2025)
by: Hu, Xiaoyan, et al.
Published: (2025)
Prompt-Driven Continual Graph Learning
by: Wang, Qi, et al.
Published: (2025)
by: Wang, Qi, et al.
Published: (2025)
Learning to Continually Learn with the Bayesian Principle
by: Lee, Soochan, et al.
Published: (2024)
by: Lee, Soochan, et al.
Published: (2024)
Recasting Continual Learning as Sequence Modeling
by: Lee, Soochan, et al.
Published: (2023)
by: Lee, Soochan, et al.
Published: (2023)
HGMP:Heterogeneous Graph Multi-Task Prompt Learning
by: Jiao, Pengfei, et al.
Published: (2025)
by: Jiao, Pengfei, et al.
Published: (2025)
DAMEL: Dual-Axis Multi-Expert Learning for Class-Imbalanced Learning
by: Lee, Hyuck, et al.
Published: (2026)
by: Lee, Hyuck, et al.
Published: (2026)
Axial Neural Networks for Dimension-Free Foundation Models
by: Kim, Hyunsu, et al.
Published: (2025)
by: Kim, Hyunsu, et al.
Published: (2025)
Holdout-Loss-Based Data Selection for LLM Finetuning via In-Context Learning
by: Zhang, Ling, et al.
Published: (2025)
by: Zhang, Ling, et al.
Published: (2025)
Task-Aware Adaptive Modulation: A Replay-Free and Resource-Efficient Approach For Continual Graph Learning
by: Liu, Jingtao, et al.
Published: (2025)
by: Liu, Jingtao, et al.
Published: (2025)
Chunk-Guided Q-Learning
by: Song, Gwanwoo, et al.
Published: (2026)
by: Song, Gwanwoo, et al.
Published: (2026)
Task-Specific Preconditioner for Cross-Domain Few-Shot Learning
by: Kang, Suhyun, et al.
Published: (2024)
by: Kang, Suhyun, et al.
Published: (2024)
Causally Sufficient and Necessary Feature Expansion for Class-Incremental Learning
by: Zhang, Zhen, et al.
Published: (2026)
by: Zhang, Zhen, et al.
Published: (2026)
REP: Resource-Efficient Prompting for Rehearsal-Free Continual Learning
by: Jeon, Sungho, et al.
Published: (2024)
by: Jeon, Sungho, et al.
Published: (2024)
Similar Items
-
TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting
by: Lee, Jaebin, et al.
Published: (2025) -
Communication-Efficient Federated Low-Rank Update Algorithm and its Connection to Implicit Regularization
by: Park, Haemin, et al.
Published: (2024) -
Learning Equi-angular Representations for Online Continual Learning
by: Seo, Minhyuk, et al.
Published: (2024) -
Training-free Detection of AI-generated images via Cropping Robustness
by: Choi, Sungik, et al.
Published: (2025) -
Automatic Piecewise Linear Regression for Predicting Student Learning Satisfaction
by: Choi, Haemin, et al.
Published: (2025)