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)

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103

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482

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1,566

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Papers (including subtopics)

Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages AAAI 2020 Weakly Supervised Sequence Tagging from Noisy Rules AAAI 2020 What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation CVPR 2020 What Can Learned Intrinsic Rewards Capture? ICML 2020 What is being transferred in transfer learning? NeurIPS 2020 When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining then Meta-Learning for Few-Shot Text Classification (Student Abstract) AAAI 2020 Winnowing with Gradient Descent COLT 2020 Word Frequency Does Not Predict Grammatical Knowledge in Language Models EMNLP 2020 XL-AMR: Enabling Cross-Lingual AMR Parsing with Transfer Learning Techniques EMNLP 2020 XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization EMNLP 2020 XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning ICML 2020 Zero-Shot Crosslingual Sentence Simplification EMNLP 2020 Zero-Shot Cross-Lingual Transfer with Meta Learning EMNLP 2020 Zero-Shot Sketch-Based Image Retrieval via Graph Convolution Network AAAI 2020 Zero-Shot Text-to-SQL Learning with Auxiliary Task AAAI 2020 Zero-Shot Transfer Learning with Synthesized Data for Multi-Domain Dialogue State Tracking ACL 2020 ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization EMNLP 2020 A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs ICML 2019 Accelerating Imitation Learning with Predictive Models AISTATS 2019 ACE: Adapting to Changing Environments for Semantic Segmentation ICCV 2019 A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification EMNLP 2019 A Closer Look at Few-shot Classification ICLR 2019 ACMM: Aligned Cross-Modal Memory for Few-Shot Image and Sentence Matching ICCV 2019 A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning IJCAI 2019 A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics ACL 2019