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few-shot learning

3390 papers

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Also known as

ICL FSL FSAS FSED FSOD FSSL FSR FSC FFG FSAC FEW-SHOT FSCD FSIG FLAD FSCIL FSS FSRE FSIL CDFSL FS-XLT

Co-occurring keywords

large language model (12755) zero-shot learning (3637) transfer learning (5442) in-context learning (1369) text classification (6776) domain adaptation (4578) prompt engineering (1128) language model (4573) representation learning (6174) contrastive learning (3979)

Papers

Home Action Genome: Cooperative Compositional Action Understanding CVPR 2021
Dynamic Class Queue for Large Scale Face Recognition in the Wild CVPR 2021
Transformation Invariant Few-Shot Object Detection CVPR 2021
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CVPR 2021
PROTAUGMENT: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning ACL 2021
On Training Instance Selection for Few-Shot Neural Text Generation IJCNLP 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution NIPS 2021
Meta-learning with an Adaptive Task Scheduler NIPS 2021
Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization NIPS 2021
How Fine-Tuning Allows for Effective Meta-Learning NIPS 2021
Gradient-based Hyperparameter Optimization Over Long Horizons NIPS 2021
True Few-Shot Learning with Language Models NIPS 2021
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning NIPS 2021
Online Meta-Learning via Learning with Layer-Distributed Memory NIPS 2021
Multi-Objective Meta Learning NIPS 2021
Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess NIPS 2021
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis NIPS 2021
Effective Meta-Regularization by Kernelized Proximal Regularization NIPS 2021
IIITT at CASE 2021 Task 1: Leveraging Pretrained Language Models for Multilingual Protest Detection IJCNLP 2021
Multimodal Few-Shot Learning with Frozen Language Models NIPS 2021
Uniform Sampling over Episode Difficulty NIPS 2021
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima NIPS 2021
Exploring the Limits of Out-of-Distribution Detection NIPS 2021
Towards Enabling Meta-Learning from Target Models NIPS 2021
Realistic evaluation of transductive few-shot learning NIPS 2021