Context-Aware Meta-Learning Oct 17, 2023 Few-Shot Image Classification In-Context Learning
Code Code Available Subspace Adaptation Prior for Few-Shot Learning Oct 13, 2023 Few-Shot Image Classification Few-Shot Learning
Code Code Available PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification Oct 5, 2023 Classification Contrastive Learning
— Unverified SemiReward: A General Reward Model for Semi-supervised Learning Oct 4, 2023 Few-Shot Image Classification Image Classification
Code Code Available Logarithm-transform aided Gaussian Sampling for Few-Shot Learning Sep 28, 2023 Classification Few-Shot Image Classification
Code Code Available MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification Sep 17, 2023 Data Augmentation Diversity
— Unverified PRE: Vision-Language Prompt Learning with Reparameterization Encoder Sep 14, 2023 Few-Shot Image Classification Prompt Engineering
Code Code Available Language Models as Black-Box Optimizers for Vision-Language Models Sep 12, 2023 Few-Shot Image Classification image-classification
Code Code Available Support-Set Context Matters for Bongard Problems Sep 7, 2023 Few-Shot Image Classification Few-Shot Learning
Code Code Available Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models Aug 22, 2023 Few-Shot Image Classification image-classification
— Unverified Few-shot Image Classification based on Gradual Machine Learning Jul 28, 2023 Classification Few-Shot Image Classification
— Unverified DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation Jul 28, 2023 Few-Shot Image Classification Few-Shot Learning
Code Code Available Feature Activation Map: Visual Explanation of Deep Learning Models for Image Classification Jul 11, 2023 Classification Contrastive Learning
— Unverified FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models? Jul 9, 2023 Contrastive Learning Few-Shot Image Classification
— Unverified Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation Jul 7, 2023 Few-Shot Image Classification image-classification
— Unverified Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning Jul 6, 2023 Few-Shot Image Classification Few-Shot Learning
Code Code Available Distilling Large Vision-Language Model with Out-of-Distribution Generalizability Jul 6, 2023 Few-Shot Image Classification Image Classification
Code Code Available Multi-Similarity Contrastive Learning Jul 6, 2023 Caption Generation Contrastive Learning
— Unverified Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation Jun 23, 2023 Few-Shot Image Classification Few-Shot Imitation Learning
Code Code Available SuSana Distancia is all you need: Enforcing class separability in metric learning via two novel distance-based loss functions for few-shot image classification May 15, 2023 All Few-Shot Image Classification
— Unverified Multistage Relation Network With Dual-Metric for Few-Shot Hyperspectral Image Classification Apr 28, 2023 Classification Few-Shot Image Classification
Code Code Available ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning Apr 26, 2023 Few-Shot Image Classification Few-Shot Learning
Code Code Available Meta-Learning with a Geometry-Adaptive Preconditioner Apr 4, 2023 Few-Shot Image Classification Few-Shot Learning
Code Code Available Strong Baselines for Parameter Efficient Few-Shot Fine-tuning Apr 4, 2023 Few-Shot Image Classification image-classification
— Unverified VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution Apr 4, 2023 Disentanglement Domain Generalization
Code Code Available 