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)
Parameterized Prompt for Incremental Object Detection
CVPR 2026
Paraphrasing as Zero-shot Translation with Feature-guided Diversity Enhancement
ACL 2026
ParaUni: Enhance Generation in Unified Multimodal Model with Reinforcement-driven Hierarchical Parallel Information Interaction
CVPR 2026
PARIF: Pushing the Pareto Frontier of Instruction Following and Reasoning with Curriculum Reinforcement Learning
ACL 2026
Parse, Search, and Confirmation: Training-Free Aerial Vision-and-Dialog Navigation with Chain-of-Thought Reasoning and Structured Spatial Memory
CVPR 2026
Partial Weakly-Supervised Oriented Object Detection
CVPR 2026
ParTY: Part-Guidance for Expressive Text-to-Motion Synthesis
CVPR 2026
PaTaRM: Bridging Pairwise and Pointwise Signals via Preference-Aware Task-Adaptive Reward Modeling
ACL 2026
PCA-Seg: Revisiting Cost Aggregation for Open-Vocabulary Semantic and Part Segmentation
CVPR 2026
P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist
ACL 2026
PDD: Manifold-Prior Diverse Distillation for Medical Anomaly Detection
CVPR 2026
PDTrim: Targeted Pruning for Prefill-Decode Disaggregation in Inference
ACL 2026
PDV: Prompt Directional Vectors for Zero-shot Composed Image Retrieval
WACV 2026
PEARL: Geometry Aligns Semantics for Training-Free Open-Vocabulary Semantic Segmentation
CVPR 2026
PE-QAT: Parameter-Efficient Quantization-Aware Training for Large Language Models
ACL 2026
Perplexity-Aware Data Scaling Law: Perplexity Landscapes Predict Performance for Continual Pre-training
ACL 2026
Personalized Image Descriptions from Attention Sequences
CVPR 2026
Personalized Image Privacy Advisors via Federated Daisy-Chaining
WACV 2026
Personalizing LLMs with Binary Feedback: A Preference-Calibrated Optimization Framework
ACL 2026
PET-DINO: Unifying Visual Cues into Grounding DINO with Prompt-Enriched Training
CVPR 2026
PEU Lab at SemEval-2026 Task 4: Pairwise Text Comparison using RoBERTa and Ranking Loss
SemEval 2026
PFGNet: A Fully Convolutional Frequency-Guided Peripheral Gating Network for Efficient Spatiotemporal Predictive Learning
CVPR 2026
PGA: Prior-free Generative Attack for Practical No-box Scenario
CVPR 2026
PG-BIG: Personalized Guidance for Biomechanically Informed Generative Models in Exercise Science
L4DC 2026
PG-VTON: Single-Pass Training-Free Virtual Try-On via Patch-Guided Reference Alignment
CVPR 2026