few-shot learning

A Meta-Learning Approach for User-Defined Spoken Term Classification with Varying Classes and Examples Interspeech 2021 Amortized Bayesian Prototype Meta-learning: A New Probabilistic Meta-learning Approach to Few-shot Image Classification AISTATS 2021 Analyzing the Effects of Reasoning Types on Cross-Lingual Transfer Performance EMNLP 2021 An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling EMNLP 2021 An Exploratory Analysis of Multilingual Word-Level Quality Estimation with Cross-Lingual Transformers ACL 2021 A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning ICML 2021 argmax centroid NeurIPS 2021 AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models EMNLP 2021 A Systematic Investigation of KB-Text Embedding Alignment at Scale ACL 2021 Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots EMNLP 2021 Attentional Constellation Nets for Few-Shot Learning ICLR 2021 Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition AAAI 2021 AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation ACL 2021 Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning EMNLP 2021 BabyBERTa: Learning More Grammar With Small-Scale Child-Directed Language CoNLL 2021 Bayesian Model-Agnostic Meta-Learning with Matrix-Valued Kernels for Quality Estimation ACL 2021 Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation AAAI 2021 Binocular Mutual Learning for Improving Few-Shot Classification ICCV 2021 BOIL: Towards Representation Change for Few-shot Learning ICLR 2021 Boosting the Generalization Capability in Cross-Domain Few-Shot Learning via Noise-Enhanced Supervised Autoencoder ICCV 2021 Boundary Knowledge Translation based Reference Semantic Segmentation IJCAI 2021 Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis ICLR 2021 Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation ICML 2021 Calibrate Before Use: Improving Few-shot Performance of Language Models ICML 2021 Case-based Reasoning for Natural Language Queries over Knowledge Bases EMNLP 2021