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Few-Shot Learning

2558 directly classified papers

Papers per year

Papers

Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty NIPS 2022
Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion NIPS 2022
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning NIPS 2022
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning NIPS 2022
Ranking Distance Calibration for Cross-Domain Few-Shot Learning CVPR 2022
BoostMIS: Boosting Medical Image Semi-Supervised Learning With Adaptive Pseudo Labeling and Informative Active Annotation CVPR 2022
Task Discrepancy Maximization for Fine-Grained Few-Shot Classification CVPR 2022
EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning CVPR 2022
A Closer Look at Few-Shot Image Generation CVPR 2022
Learning What Not To Segment: A New Perspective on Few-Shot Segmentation CVPR 2022
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue EMNLP 2022
Zero-shot Cross-lingual Transfer of Prompt-based Tuning with a Unified Multilingual Prompt EMNLP 2022
ZeroGen: Efficient Zero-shot Learning via Dataset Generation EMNLP 2022
Knowledge-Enhanced Self-Supervised Prototypical Network for Few-Shot Event Detection EMNLP 2022
Rethinking Generalization in Few-Shot Classification NIPS 2022
Diversity vs. Recognizability: Human-like generalization in one-shot generative models NIPS 2022
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid NIPS 2022
PAC Prediction Sets for Meta-Learning NIPS 2022
ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment NIPS 2022
Semantic Self-Segmentation for Abstractive Summarization of Long Documents in Low-Resource Regimes AAAI 2022
CINS: Comprehensive Instruction for Few-Shot Learning in Task-Oriented Dialog Systems AAAI 2022
Stage Conscious Attention Network (SCAN): A Demonstration-Conditioned Policy for Few-Shot Imitation AAAI 2022
How to Distribute Data across Tasks for Meta-Learning? AAAI 2022
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs NIPS 2022
Few-shot Relational Reasoning via Connection Subgraph Pretraining NIPS 2022