conftrace_

few-shot classification

90 papers

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Also known as

FSC

Co-occurring keywords

few-shot learning (3398) representation learning (6206) metric learning (1190) image classification (1944) transfer learning (5449) domain adaptation (4595) vision-language model (2348) data augmentation (3052) knowledge distillation (3725) zero-shot learning (3650)

Papers

Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification NIPS 2023
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification NIPS 2023
Geodesic Multi-Modal Mixup for Robust Fine-Tuning NIPS 2023
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification CVPR 2023
Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification WACV 2023
CALIP: Zero-Shot Enhancement of CLIP with Parameter-Free Attention AAAI 2023
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning ICML 2023
CORL: Compositional Representation Learning for Few-Shot Classification WACV 2023
Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification NAACL 2022
Learning To Affiliate: Mutual Centralized Learning for Few-Shot Classification CVPR 2022
Generating Representative Samples for Few-Shot Classification CVPR 2022
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information ICML 2022
Efficient Variance Reduction for Meta-learning ICML 2022
Meta-Learning with Self-Improving Momentum Target NIPS 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification CVPR 2022
A Closer Look at Embedding Propagation for Manifold Smoothing JMLR 2022
Adaptive Poincaré Point to Set Distance for Few-Shot Classification AAAI 2022
Integrative Few-Shot Learning for Classification and Segmentation CVPR 2022
Making Pretrained Language Models Good Long-tailed Learners EMNLP 2022
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning NIPS 2022
Symmetry-induced Disentanglement on Graphs NIPS 2022
Label Hallucination for Few-Shot Classification AAAI 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification CVPR 2022
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning EMNLP 2022
Improving Generalization in Meta-learning via Task Augmentation ICML 2021