Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
Prior Prompt Engineering for Reinforcement Fine-Tuning
EMNLP 2025
PRISM: A Framework for Producing Interpretable Political Bias Embeddings with Political-Aware Cross-Encoder
ACL 2025
PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning
EMNLP 2025
Privacy-Preserving Neural Processes for Probabilistic User Modeling
UAI 2025
Privacy-Preserving Speaker Verification via End-to-End Secure Representation Learning
Interspeech 2025
ProAPO: Progressively Automatic Prompt Optimization for Visual Classification
CVPR 2025
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows
AAAI 2025
Probabilistic Prototype Calibration of Vision-language Models for Generalized Few-shot Semantic Segmentation
ICCV 2025
Probability-Consistent Preference Optimization for Enhanced LLM Reasoning
ACL 2025
Probability Distribution Collapse: A Critical Bottleneck to Compact Unsupervised Neural Grammar Induction
EMNLP 2025
Probing for Arithmetic Errors in Language Models
EMNLP 2025
Probing LLM World Models: Enhancing Guesstimation with Wisdom of Crowds Decoding
EMNLP 2025
Probing Neural Network Generalization using Default Patterns
NAACL 2025
Probing Relative Interaction and Dynamic Calibration in Multi-modal Entity Alignment
ACL 2025
Probing the Mid-level Vision Capabilities of Self-Supervised Learning
CVPR 2025
Probing the Robustness Properties of Neural Speech Codecs
Interspeech 2025
Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex Reasoning
ACL 2025
ProbMED: A Probabilistic Framework for Medical Multimodal Binding
ICCV 2025
ProcessBench: Identifying Process Errors in Mathematical Reasoning
ACL 2025
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise
EMNLP 2025
Profiler: Black-box AI-generated Text Origin Detection via Context-aware Inference Pattern Analysis
EMNLP 2025
Progressive Correspondence Regenerator for Robust 3D Registration
CVPR 2025
Progressive Growing of Video Tokenizers for Temporally Compact Latent Spaces
ICCV 2025
Progressive LoRA for Multimodal Continual Instruction Tuning
ACL 2025
Progressive Multimodal Reasoning via Active Retrieval
ACL 2025