Few-Shot Learning
2,681 papers
Papers per year
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Papers
A Nested Bi-level Optimization Framework for Robust Few Shot Learning
AAAI 2022
A Rationale-Centric Framework for Human-in-the-loop Machine Learning
ACL 2022
Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection
ACL 2022
ASCM: An Answer Space Clustered Prompting Method without Answer Engineering
ACL 2022
ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models
EMNLP 2022
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts
EMNLP 2022
Attentional Meta-learners for Few-shot Polythetic Classification
ICML 2022
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-Shot Learning
CVPR 2022
A Unified Dialogue User Simulator for Few-shot Data Augmentation
EMNLP 2022
Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models
COLING 2022
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels
NeurIPS 2022
Balanced and Hierarchical Relation Learning for One-Shot Object Detection
CVPR 2022
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization
NeurIPS 2022
BatchFormer: Learning To Explore Sample Relationships for Robust Representation Learning
CVPR 2022
BBTv2: Towards a Gradient-Free Future with Large Language Models
EMNLP 2022
BEIKE NLP at SemEval-2022 Task 4: Prompt-Based Paragraph Classification for Patronizing and Condescending Language Detection
SemEval 2022
Benchmarking transfer learning approaches for sentiment analysis of Arabic dialect
EMNLP 2022
Better Embedding and More Shots for Few-shot Learning
IJCAI 2022
Better Few-Shot Relation Extraction with Label Prompt Dropout
EMNLP 2022
Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation
IJCAI 2022
BigBio: A Framework for Data-Centric Biomedical Natural Language Processing
NeurIPS 2022
Black-Box Tuning for Language-Model-as-a-Service
ICML 2022
Boosting Natural Language Generation from Instructions with Meta-Learning
EMNLP 2022
BoostMIS: Boosting Medical Image Semi-Supervised Learning With Adaptive Pseudo Labeling and Informative Active Annotation
CVPR 2022
Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models
NAACL 2022