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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32

66

53

67

103

206

482

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1,124

1,566

1,867

2,410

2,658

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856

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Papers (including subtopics)

Few-Shot Self-Rationalization with Natural Language Prompts NAACL 2022 Few-shot Subgoal Planning with Language Models NAACL 2022 Few-shot Table-to-text Generation with Prefix-Controlled Generator COLING 2022 Few-Shot Tabular Data Enrichment Using Fine-Tuned Transformer Architectures ACL 2022 Few-Shot Weakly-Supervised Object Detection via Directional Statistics WACV 2022 Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space ICLR 2022 Findings of the Shared Task on Multi-task Learning in Dravidian Languages ACL 2022 Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge AISTATS 2022 Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms NeurIPS 2022 Fine-grained Image Captioning with CLIP Reward NAACL 2022 Finer-grained Modeling units-based Meta-Learning for Low-resource Tibetan Speech Recognition Interspeech 2022 Finetuned Language Models are Zero-Shot Learners ICLR 2022 Fine-Tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning CVPR 2022 Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees NeurIPS 2022 Finetuning Latin BERT for Word Sense Disambiguation on the Thesaurus Linguae Latinae AACL 2022 FinSim4-ESG Shared Task: Learning Semantic Similarities for the Financial Domain. Extended edition to ESG insights EMNLP 2022 Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification ICML 2022 FLAIR: Federated Learning Annotated Image Repository NeurIPS 2022 FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings NeurIPS 2022 Flamingo: a Visual Language Model for Few-Shot Learning NeurIPS 2022 Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision CoRL 2022 FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning AISTATS 2022 FLUID: Few-Shot Self-Supervised Image Deraining WACV 2022 FLVoogd: Robust And Privacy Preserving Federated Learning ACML 2022 Focus-Driven Contrastive Learning for Medical Question Summarization COLING 2022