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)

PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches ICLR 2025 Pos3R: 6D Pose Estimation for Unseen Objects Made Easy CVPR 2025 Position: Don’t Use the CLT in LLM Evals With Fewer Than a Few Hundred Datapoints ICML 2025 PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation EMNLP 2025 PrAd: Prompt Adaptive Tuning for Decoder-only Language Models EMNLP 2025 PreciseCam: Precise Camera Control for Text-to-Image Generation CVPR 2025 Predicate Hierarchies Improve Few-Shot State Classification ICLR 2025 Predicting Depression in Screening Interviews from Interactive Multi-Theme Collaboration ACL 2025 Predicting Event Memorability using Personalized Federated Learning WACV 2025 Predicting the Target Word of Game-playing Conversations using a Low-Rank Dialect Adapter for Decoder Models NAACL 2025 Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation ICLR 2025 Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation CVPR 2025 Preserving Multilingual Quality While Tuning Query Encoder on English Only NAACL 2025 PresiUniv at FinCausal 2025 Shared Task: Applying Fine-tuned Language Models to Explain Financial Cause and Effect with Zero-shot Learning COLING 2025 Pre-trained Semantic Interaction based Inductive Graph Neural Networks for Text Classification COLING 2025 Pre-Trained Vision-Language Models as Noisy Partial Annotators AAAI 2025 Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG ICML 2025 Pre-Training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck AAAI 2025 Pretraining Language Models with LoRA and Artificial Languages EMNLP 2025 Prevalence of Negative Transfer in Continual Reinforcement Learning: Analyses and a Simple Baseline ICLR 2025 Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak Learners AISTATS 2025 PRIORITY2REWARD: Incorporating Healthworker Preferences for Resource Allocation Planning AAAI 2025 Priority on High-Quality: Selecting Instruction Data via Consistency Verification of Noise Injection EMNLP 2025 Prior Prompt Engineering for Reinforcement Fine-Tuning EMNLP 2025 PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models ICLR 2025