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)
SeCuRepair: Semantics-Aligned, Curriculum-Driven, and Reasoning-Enhanced Vulnerability Repair Framework
ACL 2026
SeDev: Structured Semantic Exploration for LLM-Driven Code Generation
ACL 2026
SED-SFT: Selectively Encouraging Diversity in Supervised Fine-Tuning
ACL 2026
SeD-UD: An Influence-Driven and Hierarchically-Decoupled Information Bottleneck for Multimodal Intent Recognition
CVPR 2026
See Further, Think Deeper: Advancing VLM's Reasoning Ability with Low-level Visual Cues and Reflection
CVPR 2026
Seeing Beyond: Extrapolative Domain Adaptive Panoramic Segmentation
CVPR 2026
Seeing Depth Through Frequency and Motion: A Progressive Training Paradigm for Monocular Depth Estimation
CVPR 2026
Seeing is Improving: Visual Feedback for Iterative Text Layout Refinement
CVPR 2026
Seeing Motion Through Polarity for Event-based Action Recognition
CVPR 2026
Seeing Through the Shift: Causality-Inspired Robust Generalized Category Discovery
CVPR 2026
Seeing Through Touch: Tactile-Driven Visual Localization of Material Regions
CVPR 2026
Seeing without Pixels: Perception from Camera Trajectories
CVPR 2026
See Through the Noise: Improving Domain Generalization in Gaze Estimation
CVPR 2026
SegGBC: Justifiable Coarse-to-Fine Granular-Ball Computing for Enhancing Clustering Image Segmentation
CVPR 2026
SegMango: Early Deep Mango Yield Prediction based on Flower Segmentation and Weather Data
WACV 2026
Segmentation Fault at SemEval-2026 Task 13: A Regularization-First Approach with Generator-Based Out-of-Distribution Splits for Detecting AI-Generated Code
SemEval 2026
SegTune: Structured and Fine-Grained Control for Song Generation
ACL 2026
SeLaR: Selective Latent Reasoning in Large Language Models
ACL 2026
Select Before Use: On the Importance of Reference Model Selection in Preference Alignment
ACL 2026
Selective Amnesia using Contrastive Subnet Erasure for Class Level Unlearning in Vision Models
CVPR 2026
Selective Contrastive Learning For Gloss Free Sign Language Translation
ACL 2026
Selective Knowledge Distillation: Fusing LLM Semantic Strengths with DNN Efficiency for Binary Code Similarity Detection
ACL 2026
Selectively Extracting and Injecting Visual Attributes into Text-to-Image Models
CVPR 2026
Selective, Regularized, and Calibrated: Harnessing Vision Foundation Models for Cross-Domain Few-Shot Semantic Segmentation
CVPR 2026
Selective Span-Level Unlearning for Large Language Models
ACL 2026