Negatives Make A Positive: An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning Apr 4, 2024 Few-Shot Learning Pseudo Label
— Unverified 0 NERIF: GPT-4V for Automatic Scoring of Drawn Models Nov 21, 2023 Few-Shot Learning
— Unverified 0 Network Traffic Classification Using Machine Learning, Transformer, and Large Language Models Mar 4, 2025 Few-Shot Learning Model Selection
— Unverified 0 Neural Attention Memory Feb 18, 2023 Few-Shot Learning Zero-shot Generalization
— Unverified 0 Neural-Bayesian Program Learning for Few-shot Dialogue Intent Parsing Oct 8, 2024 Feature Engineering Few-Shot Learning
— Unverified 0 Neural Graph Matching Networks for Fewshot 3D Action Recognition Sep 1, 2018 3D Action Recognition Action Recognition
— Unverified 0 Neural networks that overcome classic challenges through practice Oct 14, 2024 Few-Shot Learning Systematic Generalization
— Unverified 0 Neural Variational Dropout Processes Sep 29, 2021 Few-Shot Learning Image Inpainting
— Unverified 0 NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results Aug 31, 2022 Few-Shot Image Classification Few-Shot Learning
— Unverified 0 Next-item Recommendations in Short Sessions Jul 15, 2021 Few-Shot Learning Meta-Learning
— Unverified 0 Nexus at ArAIEval Shared Task: Fine-Tuning Arabic Language Models for Propaganda and Disinformation Detection Nov 6, 2023 Decision Making Few-Shot Learning
— Unverified 0 Non-greedy Gradient-based Hyperparameter Optimization Over Long Horizons Sep 28, 2020 Few-Shot Learning Hyperparameter Optimization
— Unverified 0 Non-negative Subspace Feature Representation for Few-shot Learning in Medical Imaging Apr 3, 2024 Attribute Dimensionality Reduction
— Unverified 0 NSP-NER: A Prompt-based Learner for Few-shot NER Driven by Next Sentence Prediction Nov 16, 2021 Few-Shot Learning Few-shot NER
— Unverified 0 Object-Level Representation Learning for Few-Shot Image Classification May 28, 2018 Classification Few-Shot Image Classification
— Unverified 0 ODOR: The ICPR2022 ODeuropa Challenge on Olfactory Object Recognition Jan 24, 2023 Domain Adaptation Few-Shot Learning
— Unverified 0 OmniRL: In-Context Reinforcement Learning by Large-Scale Meta-Training in Randomized Worlds Feb 5, 2025 Few-Shot Learning Imitation Learning
— Unverified 0 Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Oct 14, 2021 Few-Shot Learning Transfer Learning
— Unverified 0 On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor Oct 11, 2019 Few-Shot Learning Transfer Learning
— Unverified 0 On Codex Prompt Engineering for OCL Generation: An Empirical Study Mar 28, 2023 Few-Shot Learning Prompt Engineering
— Unverified 0 On Conditional and Compositional Language Model Differentiable Prompting Jul 4, 2023 Few-Shot Learning Language Modeling
— Unverified 0 On-Device Machine Learning: An Algorithms and Learning Theory Perspective Nov 2, 2019 BIG-bench Machine Learning Few-Shot Learning
— Unverified 0 One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification Sep 14, 2021 Classification Few-Shot Learning
— Unverified 0 One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Jan 28, 2025 Few-Shot Learning GPU
— Unverified 0 One Model to Rule them All: Towards Zero-Shot Learning for Databases May 3, 2021 All Few-Shot Learning
— Unverified 0 One of these (Few) Things is Not Like the Others May 22, 2020 Benchmarking Few-Shot Learning
— Unverified 0 One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations Jun 2, 2021 All Few-Shot Learning
— Unverified 0 One-shot and few-shot learning of word embeddings Oct 27, 2017 Few-Shot Learning Sentence
— Unverified 0 One-shot and few-shot learning of word embeddings Jan 1, 2018 Few-Shot Learning Sentence
— Unverified 0 One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing Sep 6, 2018 Few-Shot Learning One-Shot Learning
— Unverified 0 One-shot learning for the long term: consolidation with an artificial hippocampal algorithm Feb 15, 2021 Continual Learning Few-Shot Learning
— Unverified 0 On Label-Efficient Computer Vision: Building Fast and Effective Few-Shot Image Classifiers Oct 19, 2021 Active Learning Continual Learning
— Unverified 0 Online Few-shot Gesture Learning on a Neuromorphic Processor Aug 3, 2020 Few-Shot Learning Gesture Recognition
— Unverified 0 Reconciling meta-learning and continual learning with online mixtures of tasks Dec 14, 2018 Continual Learning Few-Shot Learning
— Unverified 0 Online Meta-Learning Channel Autoencoder for Dynamic End-to-end Physical Layer Optimization Jan 3, 2025 Few-Shot Learning Meta-Learning
— Unverified 0 On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval Nov 1, 2023 Contrastive Learning Entity Retrieval
— Unverified 0 Making Large Language Models Better Reasoners with Step-Aware Verifier Jun 6, 2022 Arithmetic Reasoning Few-Shot Learning
— Unverified 0 On the cross-lingual transferability of multilingual prototypical models across NLU tasks Jul 19, 2022 Few-Shot Learning Meta-Learning
— Unverified 0 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 0 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 0 A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness Dec 2, 2023 Few-Shot Learning In-Context Learning
— Unverified 0 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 0 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 0 On the Informativeness of Supervision Signals Nov 2, 2022 Contrastive Learning Few-Shot Learning
— Unverified 0 On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization May 29, 2024 Few-Shot Learning Meta-Learning
— Unverified 0 On the low-shot transferability of [V]-Mamba Mar 15, 2024 Few-Shot Learning Mamba
— Unverified 0 On the Multilingual Capabilities of Very Large-Scale English Language Models Nov 16, 2021 Extractive Question-Answering Few-Shot Learning
— Unverified 0 On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence Apr 13, 2023 Few-Shot Learning Scene Classification
— Unverified 0 On The Relationship between Visual Anomaly-free and Anomalous Representations Oct 9, 2024 Anomaly Detection Domain Adaptation
— Unverified 0 On the Role of Neural Collapse in Transfer Learning Dec 30, 2021 Clustering Few-Shot Learning
— Unverified 0 