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

3

2

4

12

24

14

20

29

31

32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

'5

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Papers (including subtopics)

A Closer Look at Prototype Classifier for Few-shot Image Classification NeurIPS 2022 A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning NeurIPS 2022 A contrastive rule for meta-learning NeurIPS 2022 A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning NeurIPS 2022 ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment NeurIPS 2022 Active Bayesian Causal Inference NeurIPS 2022 Active Example Selection for In-Context Learning EMNLP 2022 Active Few-Shot Learning for Sound Event Detection Interspeech 2022 Active Learning Helps Pretrained Models Learn the Intended Task NeurIPS 2022 Active Learning on Pre-trained Language Model with Task-Independent Triplet Loss AAAI 2022 Active Learning with Safety Constraints NeurIPS 2022 Active Multi-Task Representation Learning ICML 2022 ActPerFL: Active Personalized Federated Learning ACL 2022 AdaCat: Adaptive categorical discretization for autoregressive models UAI 2022 AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation ICLR 2022 AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning EMNLP 2022 AdapterHub Playground: Simple and Flexible Few-Shot Learning with Adapters ACL 2022 AdapterShare: Task Correlation Modeling with Adapter Differentiation EMNLP 2022 Adapting a Language Model While Preserving its General Knowledge EMNLP 2022 Adapting Coreference Resolution Models through Active Learning ACL 2022 Adapting to Mixing Time in Stochastic Optimization with Markovian Data ICML 2022 Adapting to Online Label Shift with Provable Guarantees NeurIPS 2022 Adaptive Artificial Intelligence Scheduling Methods for Large-Scale, Stochastic, Industrial Applications IJCAI 2022 Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport NeurIPS 2022 Adaptive Interest for Emphatic Reinforcement Learning NeurIPS 2022