Using dependency parsing for few-shot learning in distributional semantics May 12, 2022 Dependency Parsing Few-Shot Learning
— Unverified On the Economics of Multilingual Few-shot Learning: Modeling the Cost-Performance Trade-offs of Machine Translated and Manual Data May 12, 2022 Few-Shot Learning Machine Translation
— Unverified Towards Answering Open-ended Ethical Quandary Questions May 12, 2022 Few-Shot Learning Generative Question Answering
— Unverified Feature Extractor Stacking for Cross-domain Few-shot Learning May 12, 2022 Cross-Domain Few-Shot cross-domain few-shot learning
Code Code Available ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning May 11, 2022 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified Towards Unified Prompt Tuning for Few-shot Text Classification May 11, 2022 Classification Few-Shot Learning
— Unverified ALLSH: Active Learning Guided by Local Sensitivity and Hardness May 10, 2022 Active Learning Few-Shot Learning
— Unverified Privacy Enhancement for Cloud-Based Few-Shot Learning May 10, 2022 Few-Shot Image Classification Few-Shot Learning
Code Code Available KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering May 6, 2022 Contrastive Learning Extractive Question-Answering
— Unverified Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning May 4, 2022 Few-Shot Learning Memorization
Code Code Available Generalized Knowledge Distillation via Relationship Matching May 4, 2022 Few-Shot Learning Incremental Learning
Code Code Available Lifelong Ensemble Learning based on Multiple Representations for Few-Shot Object Recognition May 4, 2022 3D Object Recognition Ensemble Learning
— Unverified Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction May 3, 2022 BIG-bench Machine Learning Bilevel Optimization
— Unverified Improving In-Context Few-Shot Learning via Self-Supervised Training May 3, 2022 Diversity Few-Shot Learning
— Unverified On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification May 2, 2022 Deep Learning Domain Adaptation
— Unverified Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot Learning May 1, 2022 Few-Shot Learning Retrieval
— Unverified Exploiting Language Model Prompts Using Similarity Measures: A Case Study on the Word-in-Context Task May 1, 2022 Few-Shot Learning In-Context Learning
— Unverified Dual Context-Guided Continuous Prompt Tuning for Few-Shot Learning May 1, 2022 Few-Shot Learning
— Unverified EICO: Improving Few-Shot Text Classification via Explicit and Implicit Consistency Regularization May 1, 2022 Few-Shot Learning Few-Shot Text Classification
— Unverified English-Malay Word Embeddings Alignment for Cross-lingual Emotion Classification with Hierarchical Attention Network May 1, 2022 Cross-Lingual Word Embeddings Emotion Classification
— Unverified Knowledge Distillation Meets Few-Shot Learning: An Approach for Few-Shot Intent Classification Within and Across Domains May 1, 2022 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified Zero- and Few-Shot NLP with Pretrained Language Models May 1, 2022 Few-Shot Learning
— Unverified EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing Apr 30, 2022 Few-Shot Learning Knowledge Distillation
— Unverified On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model Apr 28, 2022 Few-Shot Learning In-Context Learning
— Unverified Executive Function: A Contrastive Value Policy for Resampling and Relabeling Perceptions via Hindsight Summarization? Apr 27, 2022 Continual Learning Few-Shot Learning
— Unverified Meta-free few-shot learning via representation learning with weight averaging Apr 26, 2022 Classification Few-Shot Learning
— Unverified Function-words Enhanced Attention Networks for Few-Shot Inverse Relation Classification Apr 26, 2022 Few-Shot Learning Meta-Learning
— Unverified Super-Prompting: Utilizing Model-Independent Contextual Data to Reduce Data Annotation Required in Visual Commonsense Tasks Apr 25, 2022 Few-Shot Learning In-Context Learning
— Unverified Few-Shot Speaker Identification Using Depthwise Separable Convolutional Network with Channel Attention Apr 24, 2022 Audio Classification Few-Shot Learning
— Unverified Few-Shot Object Detection with Proposal Balance Refinement Apr 22, 2022 Few-Shot Learning Few-Shot Object Detection
— Unverified Zero and Few-shot Learning for Author Profiling Apr 22, 2022 Author Profiling Few-Shot Learning
— Unverified Few-shot learning for medical text: A systematic review Apr 21, 2022 Articles Few-Shot Learning
— Unverified Active Few-Shot Learning with FASL Apr 20, 2022 Active Learning Few-Shot Learning
Code Code Available Less than Few: Self-Shot Video Instance Segmentation Apr 19, 2022 Few-Shot Learning Instance Segmentation
— Unverified A Study on Prompt-based Few-Shot Learning Methods for Belief State Tracking in Task-oriented Dialog Systems Apr 18, 2022 Few-Shot Learning Language Modelling
— Unverified Learning Compositional Representations for Effective Low-Shot Generalization Apr 17, 2022 Attribute Domain Adaptation
— Unverified Few-Shot Transfer Learning to improve Chest X-Ray pathology detection using limited triplets Apr 16, 2022 Diagnostic Few-Shot Learning
Code Code Available Multi-Modal Few-Shot Object Detection with Meta-Learning-Based Cross-Modal Prompting Apr 16, 2022 Few-Shot Learning Few-Shot Object Detection
— Unverified Impossible Triangle: What's Next for Pre-trained Language Models? Apr 13, 2022 Data Augmentation Few-Shot Learning
— Unverified GDC- Generalized Distribution Calibration for Few-Shot Learning Apr 11, 2022 Few-Shot Learning
— Unverified A Simple Approach to Adversarial Robustness in Few-shot Image Classification Apr 11, 2022 Adversarial Robustness Few-Shot Image Classification
Code Code Available MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification Apr 11, 2022 Few-Shot Learning Few-Shot Text Classification
— Unverified Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling Apr 7, 2022 Few-Shot Learning
— Unverified Interval Bound Interpolation for Few-shot Learning with Few Tasks Apr 7, 2022 Few-Shot Learning Meta-Learning
Code Code Available AutoProtoNet: Interpretability for Prototypical Networks Apr 2, 2022 Few-Shot Learning Meta-Learning
Code Code Available On the Efficiency of Integrating Self-supervised Learning and Meta-learning for User-defined Few-shot Keyword Spotting Apr 1, 2022 Few-Shot Learning Keyword Spotting
— Unverified Selecting task with optimal transport self-supervised learning for few-shot classification Apr 1, 2022 Data Augmentation Few-Shot Learning
— Unverified Leveraging pre-trained language models for conversational information seeking from text Mar 31, 2022 Few-Shot Learning In-Context Learning
— Unverified Enabling hand gesture customization on wrist-worn devices Mar 29, 2022 Few-Shot Learning Transfer Learning
— Unverified Supervised Graph Contrastive Learning for Few-shot Node Classification Mar 29, 2022 Classification Contrastive Learning
— Unverified 