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)

Question-Answer Sentence Graph for Joint Modeling Answer Selection EACL 2023 Random Grid Neural Processes for Parametric Partial Differential Equations ICML 2023 RankDNN: Learning to Rank for Few-Shot Learning AAAI 2023 RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank ICML 2023 Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback ICCV 2023 RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction EMNLP 2023 RbA: Segmenting Unknown Regions Rejected by All ICCV 2023 RDumb: A simple approach that questions our progress in continual test-time adaptation NeurIPS 2023 Read-only Prompt Optimization for Vision-Language Few-shot Learning ICCV 2023 Ready, Set, Plan! Planning to Goal Sets Using Generalized Bayesian Inference CoRL 2023 Reanalyzing L2 Preposition Learning with Bayesian Mixed Effects and a Pretrained Language Model ACL 2023 Reasoning in Large Language Models Through Symbolic Math Word Problems ACL 2023 ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph EMNLP 2023 Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning CVPR 2023 Recasting Continual Learning as Sequence Modeling NeurIPS 2023 RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning Attacks NeurIPS 2023 Reconstructing Training Data from Model Gradient, Provably AISTATS 2023 Recurrent Hypernetworks are Surprisingly Strong in Meta-RL NeurIPS 2023 ReDASPersuasion at SemEval-2023 Task 3: Persuasion Detection using Multilingual Transformers and Language Agnostic Features SemEval 2023 Reducing Communication for Split Learning by Randomized Top-k Sparsification IJCAI 2023 Reducing Training Time in Cross-Silo Federated Learning Using Multigraph Topology ICCV 2023 ReGen: A good Generative Zero-Shot Video Classifier Should be Rewarded ICCV 2023 Regression-Free Model Updates for Spoken Language Understanding ACL 2023 Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-Trained Vision-Language Models ICCV 2023 Regularizing Neural Networks with Meta-Learning Generative Models NeurIPS 2023