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)

Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction NeurIPS 2023 Evidential Conditional Neural Processes AAAI 2023 Evidential Uncertainty and Diversity Guided Active Learning for Scene Graph Generation ICLR 2023 EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning NeurIPS 2023 Evolving Connectivity for Recurrent Spiking Neural Networks NeurIPS 2023 Evolving Semantic Prototype Improves Generative Zero-Shot Learning ICML 2023 Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings NeurIPS 2023 Example-based Hypernetworks for Multi-source Adaptation to Unseen Domains EMNLP 2023 Expand, Highlight, Generate: RL-driven Document Generation for Passage Reranking EMNLP 2023 Expanding Scope: Adapting English Adversarial Attacks to Chinese ACL 2023 Expert Data Augmentation in Imitation Learning (Student Abstract) AAAI 2023 Explaining with Contrastive Phrasal Highlighting: A Case Study in Assisting Humans to Detect Translation Differences EMNLP 2023 Exploiting Inferential Structure in Neural Processes UAI 2023 Exploiting Multiple Abstractions in Episodic RL via Reward Shaping AAAI 2023 Exploiting Network Compressibility and Topology in Zero-Cost NAS AutoML 2023 Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference AISTATS 2023 Exploring Active 3D Object Detection from a Generalization Perspective ICLR 2023 Exploring and Utilizing Pattern Imbalance CVPR 2023 Exploring Chain of Thought Style Prompting for Text-to-SQL EMNLP 2023 Exploring Continual Learning for Code Generation Models ACL 2023 Exploring Distributional Shifts in Large Language Models for Code Analysis EMNLP 2023 Exploring Diverse In-Context Configurations for Image Captioning NeurIPS 2023 Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays MIDL 2023 Exploring Incompatible Knowledge Transfer in Few-Shot Image Generation CVPR 2023 Exploring Model Transferability through the Lens of Potential Energy ICCV 2023