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

'10

'15

'20

'25

Papers (including subtopics)

DINE: Domain Adaptation From Single and Multiple Black-Box Predictors CVPR 2022 Discovering Language-neutral Sub-networks in Multilingual Language Models EMNLP 2022 DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text Generation EMNLP 2022 Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning ACL 2022 Disentangled Latent Speech Representation for Automatic Pathological Intelligibility Assessment Interspeech 2022 Disentangling Transfer in Continual Reinforcement Learning NeurIPS 2022 Disentangling Visual Embeddings for Attributes and Objects CVPR 2022 DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training ICML 2022 Distilling Hypernymy Relations from Language Models: On the Effectiveness of Zero-Shot Taxonomy Induction NAACL 2022 Distinguishing between pre- and post-treatment in the speech of patients with chronic obstructive pulmonary disease Interspeech 2022 Distinguishing Unseen From Seen for Generalized Zero-Shot Learning CVPR 2022 DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems AAAI 2022 Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior JMLR 2022 Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space NeurIPS 2022 Distributed Learning of Finite Gaussian Mixtures JMLR 2022 Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees NeurIPS 2022 Distributed Stochastic Nash Equilibrium Learning in Locally Coupled Network Games with Unknown Parameters L4DC 2022 Distributionally Adaptive Meta Reinforcement Learning NeurIPS 2022 Distributional Reinforcement Learning for Risk-Sensitive Policies NeurIPS 2022 Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions ICLR 2022 DivBO: Diversity-aware CASH for Ensemble Learning NeurIPS 2022 Divergence-aware Federated Self-Supervised Learning ICLR 2022 Diverse Client Selection for Federated Learning via Submodular Maximization ICLR 2022 Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers EMNLP 2022 ”Diversity and Uncertainty in Moderation” are the Key to Data Selection for Multilingual Few-shot Transfer NAACL 2022