conftrace_

Learning Paradigms

14,967 papers (9 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Transfer Learning (8,172) Few-Shot Learning (2,681) Meta-Learning (1,719) Federated Learning (1,560) Zero-Shot Learning (878) Continual Learning (189) Domain Adaptation (184) Self-Supervised Learning (158) Active Learning (154) Multi-Task Learning (145) Semi-Supervised Learning (86) In-Context Learning (53) Unsupervised Learning (53) Domain Generalization (26) Weakly Supervised Learning (23)

Papers per year

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12

24

14

20

29

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32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

'5

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Papers (including subtopics)

Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning ICML 2023 Tuning Pre-trained Model via Moment Probing ICCV 2023 Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection ICLR 2023 Two Examples are Better than One: Context Regularization for Gradient-based Prompt Tuning ACL 2023 Two-stage Finetuning of Wav2vec 2.0 for Speech Emotion Recognition with ASR and Gender Pretraining Interspeech 2023 Two-Stage Predict+Optimize for MILPs with Unknown Parameters in Constraints NeurIPS 2023 Typology Guided Multilingual Position Representations: Case on Dependency Parsing ACL 2023 UAlberta at SemEval-2023 Task 1: Context Augmentation and Translation for Multilingual Visual Word Sense Disambiguation SemEval 2023 UBC-DLNLP at SemEval-2023 Task 12: Impact of Transfer Learning on African Sentiment Analysis SemEval 2023 UDAPTER - Efficient Domain Adaptation Using Adapters EACL 2023 UIO at SemEval-2023 Task 12: Multilingual fine-tuning for sentiment classification in low-resource Languages SemEval 2023 ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding CVPR 2023 UM6P at SemEval-2023 Task 12: Out-Of-Distribution Generalization Method for African Languages Sentiment Analysis SemEval 2023 Uncertainty Estimation by Fisher Information-based Evidential Deep Learning ICML 2023 Uncertainty Guided Global Memory Improves Multi-Hop Question Answering EMNLP 2023 Understanding and Improving Visual Prompting: A Label-Mapping Perspective CVPR 2023 Understanding Few-Shot Learning: Measuring Task Relatedness and Adaptation Difficulty via Attributes NeurIPS 2023 Understanding Hessian Alignment for Domain Generalization ICCV 2023 Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization NeurIPS 2023 Understanding In-Context Learning via Supportive Pretraining Data ACL 2023 Understanding new tasks through the lens of training data via exponential tilting ICLR 2023 UniEvent: Unified Generative Model with Multi-Dimensional Prefix for Zero-Shot Event-Relational Reasoning ACL 2023 Unified Contextual Query Rewriting ACL 2023 Unified Pre-Training with Pseudo Texts for Text-To-Image Person Re-Identification ICCV 2023 UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding ACL 2023