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

852

1,124

1,566

1,867

2,410

2,658

2,486

856

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Papers (including subtopics)

On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm NeurIPS 2023 On the Vulnerability of Backdoor Defenses for Federated Learning AAAI 2023 On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks NeurIPS 2023 Oolong: Investigating What Makes Transfer Learning Hard with Controlled Studies EMNLP 2023 OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models ACL 2023 OpenICL: An Open-Source Framework for In-context Learning ACL 2023 Open-Set Likelihood Maximization for Few-Shot Learning CVPR 2023 Open Set Video HOI detection from Action-Centric Chain-of-Look Prompting ICCV 2023 OpenSR: Open-Modality Speech Recognition via Maintaining Multi-Modality Alignment ACL 2023 Open-VCLIP: Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization ICML 2023 Open-Vocabulary Attribute Detection CVPR 2023 Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer AAAI 2023 Open-Vocabulary Object Detection upon Frozen Vision and Language Models ICLR 2023 Open-Vocabulary Point-Cloud Object Detection Without 3D Annotation CVPR 2023 Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction CVPR 2023 OpineSum: Entailment-based self-training for abstractive opinion summarization ACL 2023 Opportunities and Challenges in Neural Dialog Tutoring EACL 2023 Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits ICML 2023 Optimal Parameter-Transfer Learning by Semiparametric Model Averaging JMLR 2023 Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics ICLR 2023 Optimizing Crop Management with Reinforcement Learning and Imitation Learning IJCAI 2023 Optimizing Prompts for Text-to-Image Generation NeurIPS 2023 Optimizing the Collaboration Structure in Cross-Silo Federated Learning ICML 2023 Ord2Seq: Regarding Ordinal Regression as Label Sequence Prediction ICCV 2023 Order Matters in the Presence of Dataset Imbalance for Multilingual Learning NeurIPS 2023