Alignment with human representations supports robust few-shot learning Jan 27, 2023 Few-Shot Learning
— Unverified Explore the Power of Dropout on Few-shot Learning Jan 26, 2023 Deep Learning Few-Shot Image Classification
— Unverified FewShotTextGCN: K-hop neighborhood regularization for few-shot learning on graphs Jan 25, 2023 Document Classification Few-Shot Learning
— Unverified ODOR: The ICPR2022 ODeuropa Challenge on Olfactory Object Recognition Jan 24, 2023 Domain Adaptation Few-Shot Learning
— Unverified AI of Brain and Cognitive Sciences: From the Perspective of First Principles Jan 20, 2023 Few-Shot Learning image-classification
— Unverified Exploiting Style Transfer-based Task Augmentation for Cross-Domain Few-Shot Learning Jan 19, 2023 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified Concept Discovery for Fast Adapatation Jan 19, 2023 Few-Shot Learning Meta-Learning
— Unverified Continual HyperTransformer: A Meta-Learner for Continual Few-Shot Learning Jan 11, 2023 class-incremental learning Class Incremental Learning
— Unverified Few-shot Learning for Cross-Target Stance Detection by Aggregating Multimodal Embeddings Jan 11, 2023 Few-Shot Learning Stance Detection
— Unverified L-HYDRA: Multi-Head Physics-Informed Neural Networks Jan 5, 2023 Few-Shot Learning Meta-Learning
Code Code Available High-level semantic feature matters few-shot unsupervised domain adaptation Jan 5, 2023 Domain Adaptation Few-Shot Learning
— Unverified Task Weighting in Meta-learning with Trajectory Optimisation Jan 4, 2023 Few-Shot Learning Meta-Learning
— Unverified A Theory of Human-Like Few-Shot Learning Jan 3, 2023 Common Sense Reasoning Few-Shot Learning
— Unverified A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge Jan 3, 2023 Few-Shot Learning Graph Representation Learning
— Unverified P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot Classification Jan 2, 2023 Classification Few-Shot Learning
Code Code Available Boosting Transductive Few-Shot Fine-Tuning With Margin-Based Uncertainty Weighting and Probability Regularization Jan 1, 2023 Few-Shot Learning
— Unverified Few-shot Continual Infomax Learning Jan 1, 2023 Continual Learning Few-Shot Learning
— Unverified Bi-Level Meta-Learning for Few-Shot Domain Generalization Jan 1, 2023 Domain Generalization Few-Shot Learning
— Unverified GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task Jan 1, 2023 class-incremental learning Class Incremental Learning
— Unverified Task-aware Adaptive Learning for Cross-domain Few-shot Learning Jan 1, 2023 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified Unleashing the Power of Shared Label Structures for Human Activity Recognition Jan 1, 2023 Activity Recognition Decoder
— Unverified Frequency Guidance Matters in Few-Shot Learning Jan 1, 2023 Few-Shot Learning Metric Learning
— Unverified Generalization Bounds for Few-Shot Transfer Learning with Pretrained Classifiers Dec 23, 2022 Few-Shot Learning Generalization Bounds
— Unverified Few-shot human motion prediction for heterogeneous sensors Dec 22, 2022 Few-Shot Learning Human motion prediction
Code Code Available Robust Meta-Representation Learning via Global Label Inference and Classification Dec 22, 2022 Few-Shot Learning Meta-Learning
Code Code Available JASMINE: Arabic GPT Models for Few-Shot Learning Dec 21, 2022 Few-Shot Learning
— Unverified OpineSum: Entailment-based self-training for abstractive opinion summarization Dec 21, 2022 Abstractive Text Summarization Articles
— Unverified Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning Dec 21, 2022 Few-Shot Learning Language Modelling
— Unverified In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models Dec 20, 2022 Few-Shot Learning In-Context Learning
— Unverified Human in the loop: How to effectively create coherent topics by manually labeling only a few documents per class Dec 19, 2022 Document Classification Few-Shot Learning
— Unverified A Comparative Study on Textual Saliency of Styles from Eye Tracking, Annotations, and Language Models Dec 19, 2022 Few-Shot Learning
Code Code Available Check-worthy Claim Detection across Topics for Automated Fact-checking Dec 16, 2022 Data Augmentation Fact Checking
— Unverified ALERT: Adapting Language Models to Reasoning Tasks Dec 16, 2022 Few-Shot Learning Language Modeling
— Unverified FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks Dec 16, 2022 Federated Learning Few-Shot Learning
— Unverified Multi-task Learning for Cross-Lingual Sentiment Analysis Dec 14, 2022 Articles Few-Shot Learning
Code Code Available A Statistical Model for Predicting Generalization in Few-Shot Classification Dec 13, 2022 Few-Shot Learning
Code Code Available Localized Latent Updates for Fine-Tuning Vision-Language Models Dec 13, 2022 Few-Shot Learning
— Unverified Technical Report -- Competition Solution for Prompt Tuning using Pretrained Language Model Dec 13, 2022 Few-Shot Learning Language Modeling
— Unverified Cap2Aug: Caption guided Image to Image data Augmentation Dec 11, 2022 Classification Cross-Domain Few-Shot
— Unverified An AI-Powered VVPAT Counter for Elections in India Dec 9, 2022 Few-Shot Learning Image Classification
Code Code Available Demystifying Prompts in Language Models via Perplexity Estimation Dec 8, 2022 Few-Shot Learning
— Unverified Towards Automatic Cetacean Photo-Identification: A Framework for Fine-Grain, Few-Shot Learning in Marine Ecology Dec 7, 2022 Few-Shot Learning
— Unverified Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning Dec 7, 2022 Active Learning Efficient Exploration
— Unverified Multi-Objective Linear Ensembles for Robust and Sparse Training of Few-Bit Neural Networks Dec 7, 2022 Combinatorial Optimization Few-Shot Learning
Code Code Available JamPatoisNLI: A Jamaican Patois Natural Language Inference Dataset Dec 7, 2022 Cross-Lingual Transfer Few-Shot Learning
— Unverified Few-shot Medical Image Segmentation with Cycle-resemblance Attention Dec 7, 2022 Few-Shot Learning Image Segmentation
— Unverified Improving Few-Shot Performance of Language Models via Nearest Neighbor Calibration Dec 5, 2022 Few-Shot Learning Few-Shot Text Classification
— Unverified Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation Dec 5, 2022 Contrastive Learning Cross-Domain Few-Shot
— Unverified Can In-context Learners Learn a Reasoning Concept from Demonstrations? Dec 3, 2022 Few-Shot Learning In-Context Learning
Code Code Available Few-Shot Nested Named Entity Recognition Dec 2, 2022 Contrastive Learning Few-Shot Learning
— Unverified 