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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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)

Complex Question Answering on knowledge graphs using machine translation and multi-task learning EACL 2021 CompositeTasking: Understanding Images by Spatial Composition of Tasks CVPR 2021 Comprehensive Study: How the Context Information of Different Granularity Affects Dialogue State Tracking? ACL 2021 Concept Learners for Few-Shot Learning ICLR 2021 Conditional Bures Metric for Domain Adaptation CVPR 2021 Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data ICLR 2021 Conditional Self-Supervised Learning for Few-Shot Classification IJCAI 2021 Confident Anchor-Induced Multi-Source Free Domain Adaptation NeurIPS 2021 Constrained differentially private federated learning for low-bandwidth devices UAI 2021 Constrained Language Models Yield Few-Shot Semantic Parsers EMNLP 2021 Constrained Multi-Task Learning for Event Coreference Resolution NAACL 2021 Contextualize Knowledge Bases with Transformer for End-to-end Task-Oriented Dialogue Systems EMNLP 2021 Contextual policy transfer in reinforcement learning domains via deep mixtures-of-experts UAI 2021 Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors AISTATS 2021 Continual Learning via Local Module Composition NeurIPS 2021 Continual Quality Estimation with Online Bayesian Meta-Learning ACL 2021 Continuous Coordination As a Realistic Scenario for Lifelong Learning ICML 2021 ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts EMNLP 2021 Contrastive Multi-document Question Generation EACL 2021 Contrastive Neural Processes for Self-Supervised Learning ACML 2021 Contrastive prototype learning with augmented embeddings for few-shot learning UAI 2021 Control-Aware Representations for Model-based Reinforcement Learning ICLR 2021 Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning AISTATS 2021 Convergence Properties of Stochastic Hypergradients AISTATS 2021 ConVEx: Data-Efficient and Few-Shot Slot Labeling NAACL 2021