Saved in:
| Main Authors: | Zhao, Hanbin, Fu, Yongjian, Kang, Mintong, Tian, Qi, Wu, Fei, Li, Xi |
|---|---|
| Format: | Preprint |
| Published: |
2020
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2006.15524 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FG-OrIU: Towards Better Forgetting via Feature-Gradient Orthogonality for Incremental Unlearning
by: Feng, Qian, et al.
Published: (2026)
by: Feng, Qian, et al.
Published: (2026)
Class-Incremental Few-Shot Event Detection
by: Zhao, Kailin, et al.
Published: (2024)
by: Zhao, Kailin, et al.
Published: (2024)
Bias Mitigating Few-Shot Class-Incremental Learning
by: Zhao, Li-Jun, et al.
Published: (2024)
by: Zhao, Li-Jun, et al.
Published: (2024)
Automatic Attack Discovery for Few-Shot Class-Incremental Learning via Large Language Models
by: Kang, Haidong, et al.
Published: (2025)
by: Kang, Haidong, et al.
Published: (2025)
Compositional Few-Shot Class-Incremental Learning
by: Zou, Yixiong, et al.
Published: (2024)
by: Zou, Yixiong, et al.
Published: (2024)
Singular Value Fine-tuning for Few-Shot Class-Incremental Learning
by: Wang, Zhiwu, et al.
Published: (2025)
by: Wang, Zhiwu, et al.
Published: (2025)
Knowledge Adaptation Network for Few-Shot Class-Incremental Learning
by: Wang, Ye, et al.
Published: (2024)
by: Wang, Ye, et al.
Published: (2024)
An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning
by: Li, Dong, et al.
Published: (2024)
by: Li, Dong, et al.
Published: (2024)
Unlocking Prototype Potential: An Efficient Tuning Framework for Few-Shot Class-Incremental Learning
by: Jiang, Shengqin, et al.
Published: (2026)
by: Jiang, Shengqin, et al.
Published: (2026)
Few-Shot Class-Incremental Learning with Prior Knowledge
by: Jiang, Wenhao, et al.
Published: (2024)
by: Jiang, Wenhao, et al.
Published: (2024)
An experimental approach on Few Shot Class Incremental Learning
by: Adam, Marinela
Published: (2025)
by: Adam, Marinela
Published: (2025)
NTK-Guided Few-Shot Class Incremental Learning
by: Liu, Jingren, et al.
Published: (2024)
by: Liu, Jingren, et al.
Published: (2024)
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning
by: Liu, Chengyan, et al.
Published: (2024)
by: Liu, Chengyan, et al.
Published: (2024)
PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning
by: Tian, Songsong, et al.
Published: (2024)
by: Tian, Songsong, et al.
Published: (2024)
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models
by: Zhu, Mingli, et al.
Published: (2024)
by: Zhu, Mingli, et al.
Published: (2024)
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data
by: Liu, Cuiwei, et al.
Published: (2024)
by: Liu, Cuiwei, et al.
Published: (2024)
A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets
by: Doan, Thang, et al.
Published: (2024)
by: Doan, Thang, et al.
Published: (2024)
Breaking Forgetting: Training-Free Few-Shot Class-Incremental Learning via Conditional Diffusion
by: Kang, Haidong, et al.
Published: (2025)
by: Kang, Haidong, et al.
Published: (2025)
Multimodal Parameter-Efficient Few-Shot Class Incremental Learning
by: D'Alessandro, Marco, et al.
Published: (2023)
by: D'Alessandro, Marco, et al.
Published: (2023)
Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning
by: Zhou, Yuan, et al.
Published: (2024)
by: Zhou, Yuan, et al.
Published: (2024)
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning
by: Li, Linhao, et al.
Published: (2025)
by: Li, Linhao, et al.
Published: (2025)
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning
by: Fang, Pengfei, et al.
Published: (2024)
by: Fang, Pengfei, et al.
Published: (2024)
Hyperbolic Coarse-to-Fine Few-Shot Class-Incremental Learning
by: Dai, Jiaxin, et al.
Published: (2025)
by: Dai, Jiaxin, et al.
Published: (2025)
A Bag of Tricks for Few-Shot Class-Incremental Learning
by: Roy, Shuvendu, et al.
Published: (2024)
by: Roy, Shuvendu, et al.
Published: (2024)
Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning
by: Paramonov, Kirill, et al.
Published: (2025)
by: Paramonov, Kirill, et al.
Published: (2025)
12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning
by: Wibowo, Yoga Esa, et al.
Published: (2024)
by: Wibowo, Yoga Esa, et al.
Published: (2024)
When Sensing Varies with Contexts: Context-as-Transform for Tactile Few-Shot Class-Incremental Learning
by: Lin, Yifeng, et al.
Published: (2026)
by: Lin, Yifeng, et al.
Published: (2026)
Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt
by: Liu, Chenxi, et al.
Published: (2024)
by: Liu, Chenxi, et al.
Published: (2024)
MoTiC: Momentum Tightness and Contrast for Few-Shot Class-Incremental Learning
by: He, Zeyu, et al.
Published: (2025)
by: He, Zeyu, et al.
Published: (2025)
Language-Inspired Relation Transfer for Few-shot Class-Incremental Learning
by: Zhao, Yifan, et al.
Published: (2025)
by: Zhao, Yifan, et al.
Published: (2025)
Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning
by: Lee, Juntae, et al.
Published: (2025)
by: Lee, Juntae, et al.
Published: (2025)
Few Shot Class Incremental Learning using Vision-Language models
by: Kumar, Anurag, et al.
Published: (2024)
by: Kumar, Anurag, et al.
Published: (2024)
Few-Shot Class Incremental Learning via Robust Transformer Approach
by: Paeedeh, Naeem, et al.
Published: (2024)
by: Paeedeh, Naeem, et al.
Published: (2024)
Consistency-Driven Calibration and Matching for Few-Shot Class-Incremental Learning
by: Wang, Qinzhe, et al.
Published: (2025)
by: Wang, Qinzhe, et al.
Published: (2025)
Partitioned Memory Storage Inspired Few-Shot Class-Incremental learning
by: Zhang, Renye, et al.
Published: (2025)
by: Zhang, Renye, et al.
Published: (2025)
Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning
by: Li, Xiaojie, et al.
Published: (2025)
by: Li, Xiaojie, et al.
Published: (2025)
Embedding Space Allocation with Angle-Norm Joint Classifiers for Few-Shot Class-Incremental Learning
by: Tu, Dunwei, et al.
Published: (2024)
by: Tu, Dunwei, et al.
Published: (2024)
Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning
by: Han, Jizhou, et al.
Published: (2025)
by: Han, Jizhou, et al.
Published: (2025)
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning
by: Oh, Junghun, et al.
Published: (2024)
by: Oh, Junghun, et al.
Published: (2024)
Few-Shot Class-Incremental Learning For Efficient SAR Automatic Target Recognition
by: Karantaidis, George, et al.
Published: (2025)
by: Karantaidis, George, et al.
Published: (2025)
Similar Items
-
FG-OrIU: Towards Better Forgetting via Feature-Gradient Orthogonality for Incremental Unlearning
by: Feng, Qian, et al.
Published: (2026) -
Class-Incremental Few-Shot Event Detection
by: Zhao, Kailin, et al.
Published: (2024) -
Bias Mitigating Few-Shot Class-Incremental Learning
by: Zhao, Li-Jun, et al.
Published: (2024) -
Automatic Attack Discovery for Few-Shot Class-Incremental Learning via Large Language Models
by: Kang, Haidong, et al.
Published: (2025) -
Compositional Few-Shot Class-Incremental Learning
by: Zou, Yixiong, et al.
Published: (2024)