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)

Clustered-patch Element Connection for Few-shot Learning IJCAI 2023 CLUTR: Curriculum Learning via Unsupervised Task Representation Learning ICML 2023 CMNet: Contrastive Magnification Network for Micro-Expression Recognition AAAI 2023 Coarse-to-fine Few-shot Learning for Named Entity Recognition ACL 2023 Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis ICML 2023 CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks ICML 2023 CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object Detection NeurIPS 2023 Code4Struct: Code Generation for Few-Shot Event Structure Prediction ACL 2023 Code-Aware Cross-Program Transfer Hyperparameter Optimization AAAI 2023 CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors ACL 2023 CodeT5+: Open Code Large Language Models for Code Understanding and Generation EMNLP 2023 Codex to corpus: Exploring annotation and processing for an open and extensible machine-readable edition of the Florentine Codex ACL 2023 COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective ACL 2023 ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning ACL 2023 Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach ACL 2023 Collaboratively Learning Linear Models with Structured Missing Data NeurIPS 2023 Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits ICML 2023 CoLLAT: On Adding Fine-grained Audio Understanding to Language Models using Token-Level Locked-Language Tuning NeurIPS 2023 Combinatorial Causal Bandits AAAI 2023 Combining Behaviors with the Successor Features Keyboard NeurIPS 2023 Combining Parameter-efficient Modules for Task-level Generalisation EACL 2023 CommonAccent: Exploring Large Acoustic Pretrained Models for Accent Classification Based on Common Voice Interspeech 2023 Common Ground in Cooperative Communication NeurIPS 2023 Commonsense Knowledge Transfer for Pre-trained Language Models ACL 2023 Communication-Efficient Collaborative Best Arm Identification AAAI 2023