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Few-Shot Learning

1062 directly classified papers

Papers per year

Papers

Data-Efficient Algorithms and Neural Natural Language Processing: Applications in the Healthcare Domain IJCAI 2022
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations IJCAI 2022
A Data Cartography based MixUp for Pre-trained Language Models NAACL 2022
Class-Incremental Learning With Strong Pre-Trained Models CVPR 2022
Cross-lingual Few-Shot Learning on Unseen Languages IJCNLP 2022
Unsupervised Question Answering via Answer Diversifying COLING 2022
Imagination-Augmented Natural Language Understanding NAACL 2022
Compositional Task-Oriented Parsing as Abstractive Question Answering NAACL 2022
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks NAACL 2022
Understanding Benign Overfitting in Gradient-Based Meta Learning NIPS 2022
Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales NIPS 2022
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels NIPS 2022
Few-Shot Fast-Adaptive Anomaly Detection NIPS 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation NIPS 2022
A Benchmark for Compositional Visual Reasoning NIPS 2022
Interactive Symbol Grounding with Complex Referential Expressions NAACL 2022
Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances NAACL 2022
Label Definitions Improve Semantic Role Labeling NAACL 2022
Extreme Zero-Shot Learning for Extreme Text Classification NAACL 2022
Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification NAACL 2022
Embedding Hallucination for Few-shot Language Fine-tuning NAACL 2022
Contrastive Learning for Prompt-based Few-shot Language Learners NAACL 2022
Template-free Prompt Tuning for Few-shot NER NAACL 2022
Few-Shot Document-Level Relation Extraction NAACL 2022
Masked Feature Generation Network for Few-Shot Learning IJCAI 2022