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)

Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings AISTATS 2021 Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting IJCAI 2021 Non-Autoregressive Predictive Coding for Learning Speech Representations from Local Dependencies Interspeech 2021 Non-Autoregressive Text Generation with Pre-trained Language Models EACL 2021 Non-Gaussian Gaussian Processes for Few-Shot Regression NeurIPS 2021 Non-Intrusive Speech Quality Assessment with Transfer Learning and Subject-Specific Scaling Interspeech 2021 Non-Parametric Few-Shot Learning for Word Sense Disambiguation NAACL 2021 Non-stationary Reinforcement Learning without Prior Knowledge: an Optimal Black-box Approach COLT 2021 No-regret Algorithms for Multi-task Bayesian Optimization AISTATS 2021 No Regrets for Learning the Prior in Bandits NeurIPS 2021 Not Just Classification: Recognizing Implicit Discourse Relation on Joint Modeling of Classification and Generation EMNLP 2021 Not Quite There Yet: Combining Analogical Patterns and Encoder-Decoder Networks for Cognitively Plausible Inflection ACL 2021 NUS-IDS at CASE 2021 Task 1: Improving Multilingual Event Sentence Coreference Identification With Linguistic Information ACL 2021 Objective Bound Conditional Gaussian Process for Bayesian Optimization ICML 2021 Offline Meta Reinforcement Learning -- Identifiability Challenges and Effective Data Collection Strategies NeurIPS 2021 Offline Meta-Reinforcement Learning with Advantage Weighting ICML 2021 Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks ACL 2021 On Classifying whether Two Texts are on the Same Side of an Argument EMNLP 2021 On Data Efficiency of Meta-learning AISTATS 2021 One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning ICML 2021 One Semantic Parser to Parse Them All: Sequence to Sequence Multi-Task Learning on Semantic Parsing Datasets ACL 2021 One-Shot Affordance Detection IJCAI 2021 One-Shot Federated Learning: Theoretical Limits and Algorithms to Achieve Them JMLR 2021 One-shot Graph Neural Architecture Search with Dynamic Search Space AAAI 2021 One-Shot Image Recognition Using Prototypical Encoders With Reduced Hubness WACV 2021