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)
Phantora: Maximizing Code Reuse in Simulation-based Machine Learning System Performance Estimation
NSDI 2026
Phased DMD: Few-step Distribution Matching Distillation via Score Matching within Subintervals
CVPR 2026
Phased One-Step Adversarial Equilibrium for Video Diffusion Models
AAAI 2026
PhaSR: Generalized Image Shadow Removal with Physically Aligned Priors
CVPR 2026
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction
CVPR 2026
Phrase-grounded APO for Improving Chest X-ray Report Generation
CVPR 2026
Phrase-Grounding-Aware Supervised Fine-Tuning for Chart Recognition via Side-Masked Attention
CVPR 2026
pH-Strips for Selective Forgetting: A Blunt but Fast Diagnostic Baseline for Machine Unlearning
CVPR 2026
Physically-Grounded Turbulence Mitigation with Frame-Shared Degradation Parameters
CVPR 2026
Physics-Guided Multistep Deformation Reversal for Ancient Bamboo Slip Restoration
CVPR 2026
PhysSkin: Real-Time and Generalizable Physics-Based Animation via Self-Supervised Neural Skinning
CVPR 2026
PhysVid: Physics Aware Local Conditioning for Generative Video Models
CVPR 2026
PIAST: Rapid Prompting with In-context Augmentation for Scarce Training data
ACL 2026
Pico-Banana-400K: A Large-Scale Dataset for Text-Guided Image Editing
CVPR 2026
PIKACHU: Prototypical In-context Knowledge Adaptation for Clinical Heterogeneous Usage
MIDL 2026
PiSA: A Self-Augmented Data Engine and Training Strategy for 3D Understanding with Large Models
WACV 2026
PixARMesh: Autoregressive Mesh-Native Single-View Scene Reconstruction
CVPR 2026
PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation
CVPR 2026
Pixel Phantoms at SemEval-2026 Task 13: Exploring Classical and Neural Approaches for AI-Generated Code Detection
SemEval 2026
Pixel Phantoms at SemEval-2026 Task 3: Language-Specific Transformer Regression for Dimensional Aspect-Based Sentiment Analysis
SemEval 2026
PIX-TAB: Efficient PIXel-Precise TABle Structure Recognition Approach with Speculative Decoding and Region-Based Image Segmentation
CVPR 2026
PlannerRFT: Reinforcing Diffusion Planners through Closed-Loop and Sample-Efficient Fine-Tuning
CVPR 2026
PLlama at SemEval-2026 Task 4: Zero-shot Prompting with Llama-3.2 for Narrative Similarity
SemEval 2026
Plug-and-Play Incomplete Multi-View Clustering via Janus-Faced Affinity Learning with Topology Harmonization
CVPR 2026
Pluggable Pruning with Contiguous Layer Distillation for Diffusion Transformers
CVPR 2026