:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Vladymyrov, Max, Zhmoginov, Andrey, Sandler, Mark
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2301.04584
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Contextually Guided Transformers via Low-Rank Adaptation
by: Zhmoginov, Andrey, et al.
Published: (2025)

Projectable Models: One-Shot Generation of Small Specialized Transformers from Large Ones
by: Zhmoginov, Andrey, et al.
Published: (2025)

Long Context In-Context Compression by Getting to the Gist of Gisting
by: Petrov, Aleksandar, et al.
Published: (2025)

Unlocking Compositional Generalization in Continual Few-Shot Learning
by: Nguyen-Lam, Phu-Quy, et al.
Published: (2026)

Boosting Meta-Training with Base Class Information for Few-Shot Learning
by: Jiang, Weihao, et al.
Published: (2024)

Narrowing the Focus: Learned Optimizers for Pretrained Models
by: Kristiansen, Gus, et al.
Published: (2024)

CFTS-GAN: Continual Few-Shot Teacher Student for Generative Adversarial Networks
by: Ali, Munsif, et al.
Published: (2024)

Linear Transformers are Versatile In-Context Learners
by: Vladymyrov, Max, et al.
Published: (2024)

Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification
by: Ma'sum, Muhammad Anwar, et al.
Published: (2024)

Meta-Learning Guided Pruning for Few-Shot Plant Pathology on Edge Devices
by: Uddin, Mohammed Mudassir, et al.
Published: (2026)

HyperFlow: Gradient-Free Emulation of Few-Shot Fine-Tuning
by: Kim, Donggyun, et al.
Published: (2025)

Domain-Aware Continual Zero-Shot Learning
by: Yi, Kai, et al.
Published: (2021)

Remembering Transformer for Continual Learning
by: Sun, Yuwei, et al.
Published: (2024)

Few-Shot Learning with Class Imbalance
by: Ochal, Mateusz, et al.
Published: (2021)

Aspect-Based Few-Shot Learning
by: van Engeland, Tim, et al.
Published: (2024)

Few-Shot Continual Learning for 3D Brain MRI with Frozen Foundation Models
by: Chen, Chi-Sheng, et al.
Published: (2026)

HyperTokens: Controlling Token Dynamics for Continual Video-Language Understanding
by: Nguyen, Toan, et al.
Published: (2026)

MetaCropFollow: Few-Shot Adaptation with Meta-Learning for Under-Canopy Navigation
by: Woehrle, Thomas, et al.
Published: (2024)

Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution
by: Özdemir, Zeynep, et al.
Published: (2024)

A Bag of Tricks for Few-Shot Class-Incremental Learning
by: Roy, Shuvendu, et al.
Published: (2024)

BECLR: Batch Enhanced Contrastive Few-Shot Learning
by: Poulakakis-Daktylidis, Stylianos, et al.
Published: (2024)

BATR-FST: Bi-Level Adaptive Token Refinement for Few-Shot Transformers
by: Al-Habib, Mohammed, et al.
Published: (2025)

Adaptive Multi-Scale Correlation Meta-Network for Few-Shot Remote Sensing Image Classification
by: Kaushish, Anurag, et al.
Published: (2026)

Weighted Ensemble Models Are Strong Continual Learners
by: Marouf, Imad Eddine, et al.
Published: (2023)

On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning
by: Fang, Pengfei, et al.
Published: (2024)

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs
by: Hu, Jiacheng, et al.
Published: (2024)

Fine-tuning Vision Classifiers On A Budget
by: Kumar, Sunil, et al.
Published: (2024)

A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot
by: Abdollahzadeh, Milad, et al.
Published: (2023)

Cross-Modal Few-Shot Learning: a Generative Transfer Learning Framework
by: Yang, Zhengwei, et al.
Published: (2024)

Learning and Unlearning of Fabricated Knowledge in Language Models
by: Sun, Chen, et al.
Published: (2024)

Verbalized Representation Learning for Interpretable Few-Shot Generalization
by: Yang, Cheng-Fu, et al.
Published: (2024)

Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications
by: Hu, Minyang, et al.
Published: (2024)

Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning
by: Lee, Juntae, et al.
Published: (2025)

Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets
by: Pereg, Deborah, et al.
Published: (2022)

Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning
by: Tekin, Selim Furkan, et al.
Published: (2024)

Continuous Subspace Optimization for Continual Learning
by: Cheng, Quan, et al.
Published: (2025)

Color as the Impetus: Transforming Few-Shot Learner
by: Qi, Chaofei, et al.
Published: (2025)

Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering
by: Gupta, Akash, et al.
Published: (2025)

Semantic Meta-Split Learning: A TinyML Scheme for Few-Shot Wireless Image Classification
by: Eldeeb, Eslam, et al.
Published: (2024)

IPEC: Test-Time Incremental Prototype Enhancement Classifier for Few-Shot Learning
by: Liao, Wenwen, et al.
Published: (2026)