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)
PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference
ACL 2025
PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplanar MRI Slices
WACV 2025
PlaNet: Learning to Mitigate Atmospheric Turbulence in Planetary Images
AAAI 2025
PlanGPT: Enhancing Urban Planning with a Tailored Agent Framework
ACL 2025
Planning-Aware Code Infilling via Horizon-Length Prediction
EMNLP 2025
Planning-Driven Programming: A Large Language Model Programming Workflow
ACL 2025
PLA: Prompt Learning Attack against Text-to-Image Generative Models
ICCV 2025
PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling
AAAI 2025
Playpen: An Environment for Exploring Learning From Dialogue Game Feedback
EMNLP 2025
Please Translate Again: Two Simple Experiments on Whether Human-Like Reasoning Helps Translation
EMNLP 2025
Plug-and-Play PPO: An Adaptive Point Prompt Optimizer Making SAM Greater
CVPR 2025
Pluralistic Alignment for Healthcare: A Role-Driven Framework
EMNLP 2025
PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter
CVPR 2025
POIL:Preference Optimization for Imitation Learning
ACML 2025
Point-Based Shape Representation Generation with a Correspondence-Preserving Diffusion Model
MIDL 2025
Point Cloud Self-supervised Learning via 3D to Multi-view Masked Learner
ICCV 2025
PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space Model
AAAI 2025
Pointing to a Llama and Call it a Camel: On the Sycophancy of Multimodal Large Language Models
EMNLP 2025
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud
WACV 2025
Point-Level Topological Representation Learning on Point Clouds
ICML 2025
POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion
EMNLP 2025
PointSR: Self-Regularized Point Supervision for Drone-View Object Detection
CVPR 2025
POI Recommendation via Multi-Objective Adversarial Imitation Learning
AAAI 2025
PokerBench: Training Large Language Models to Become Professional Poker Players
AAAI 2025
Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model
ICLR 2025