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)

Data Center Cooling System Optimization Using Offline Reinforcement Learning ICLR 2025 Data-Centric AI for Chest X-Ray Analysis in Resource-Constrained Settings IJCAI 2025 Data-Efficient 3D Visual Grounding via Order-Aware Referring WACV 2025 Data-Efficient Automatic Prompt Optimization for Memory-Enhanced Conversational Agents EMNLP 2025 Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbor Retrieval with Limited Labeled Data EMNLP 2025 Data-Efficiently Learn Large Language Model for Universal 3D Scene Perception NAACL 2025 Data-Efficient Selection via Grammatical Complexity in Continual Pre-training of Domain-Specific LLMs EMNLP 2025 DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback ICLR 2025 Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation AAAI 2025 Data or Language Supervision: What Makes CLIP Better than DINO? EMNLP 2025 Data Poisoning for In-context Learning NAACL 2025 Data Scaling Laws in Imitation Learning for Robotic Manipulation ICLR 2025 Data-scarce Behavior Editing of Language Models EMNLP 2025 Dataset Distillation via the Wasserstein Metric ICCV 2025 Dataset Ownership Verification in Contrastive Pre-trained Models ICLR 2025 Data Shapley in One Training Run ICLR 2025 Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning ACL 2025 DavIR: Data Selection via Implicit Reward for Large Language Models ACL 2025 DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework AAAI 2025 DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Remote Sensing Change Detection WACV 2025 Debate Helps Weak-to-Strong Generalization AAAI 2025 Debiased Active Learning with Variational Gradient Rectifier AAAI 2025 Debiasing Federated Learning with Correlated Client Participation ICLR 2025 Decentralized Federated Learning with Model Caching on Mobile Agents AAAI 2025 Decentralized Low-Rank Fine-Tuning of Large Language Models ACL 2025