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

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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

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Papers (including subtopics)

PROTAUGMENT: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning ACL 2021 PROTEST-ER: Retraining BERT for Protest Event Extraction ACL 2021 ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection EMNLP 2021 Prototype Completion With Primitive Knowledge for Few-Shot Learning CVPR 2021 Provable Hierarchical Imitation Learning via EM AISTATS 2021 Provable Meta-Learning of Linear Representations ICML 2021 Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature NeurIPS 2021 Provable Rich Observation Reinforcement Learning with Combinatorial Latent States ICLR 2021 Provably Efficient Learning of Transferable Rewards ICML 2021 Provably efficient multi-task reinforcement learning with model transfer NeurIPS 2021 Provably Faster Algorithms for Bilevel Optimization NeurIPS 2021 Provably Secure Federated Learning against Malicious Clients AAAI 2021 Pseudo-Label Guided Unsupervised Domain Adaptation of Contextual Embeddings EACL 2021 PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning ICML 2021 PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning AAAI 2021 PTST-UoM at SemEval-2021 Task 10: Parsimonious Transfer for Sequence Tagging SemEval 2021 Pure Exploration in Kernel and Neural Bandits NeurIPS 2021 QActor: Active Learning on Noisy Labels ACML 2021 Query Adaptive Few-Shot Object Detection With Heterogeneous Graph Convolutional Networks ICCV 2021 Question Generation for Adaptive Education ACL 2021 QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning NeurIPS 2021 Radar Odometry Combining Probabilistic Estimation and Unsupervised Feature Learning RSS 2021 RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems ACL 2021 Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning EMNLP 2021 Ranking Neural Checkpoints CVPR 2021