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)
ARF-RLHF: Adaptive Reward-Following for RLHF through Emotion-Driven Self-Supervision and Trace-Biased Dynamic Optimization
ACL 2026
ARK: Answer-Centric Retriever Tuning via KG-augmented Curriculum Learning
ACL 2026
ARMFlow: AutoRegressive MeanFlow for Online 3D Human Reaction Generation
CVPR 2026
ART-ASyn: Anatomy-aware Realistic Texture-based Anomaly Synthesis Framework for Chest X-Rays
WACV 2026
Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects
CVPR 2026
ArtPro: Self-Supervised Articulated Object Reconstruction with Adaptive Integration of Mobility Proposals
CVPR 2026
A Sanity Check for Multi-In-Domain Face Forgery Detection in the Real World
CVPR 2026
ASC: Learning Augmentation Severity-Consistent Representations Improves Generalization via Augmentation Search
WACV 2026
A Semantically Disentangled Unified Model for Multi-category 3D Anomaly Detection
CVPR 2026
A Sequence-Graph Fusion Framework via BiMamba and Fourier-KAN for Interpretable Drug-Target Affinity Prediction
UAI 2026
asetclarity at SemEval-2026 Task 6: An Imbalance-Aware RoBERTa Cross-Encoder for Political Response Clarity Classification
SemEval 2026
A Simple yet Effective Adaptive Inter-organ Contrastive Learning Framework for Unsupervised Domain Adaptation
MIDL 2026
Assignment-Driven Hash Learning in a Hyper-Semantic Space for On-the-Fly Category Discovery
CVPR 2026
A Stitch in Time: Learning Procedural Workflow via Self-Supervised Plackett-Luce Ranking
CVPR 2026
ASTRA: An Automated Framework for Strategy Discovery, Retrieval, and Evolution for Jailbreaking LLMs
ACL 2026
ASTraNet at SemEval-2026 Task 13: Not All Code Looks the Same: Multi-View Structural and Semantic Detection of Machine-Generated Code
SemEval 2026
A Style is Worth One Code: Unlocking Code-to-Style Image Generation with Discrete Style Space
CVPR 2026
A Supervised Multi-task Framework for Joint cryo-ET Restoration Enabled by Generative Physical Simulation
CVPR 2026
AsymLoc: Towards Asymmetric Feature Matching for Efficient Visual Localization
CVPR 2026
A Temporal and Content Co-Awareness Latent Diffusion for Controllable Hand Image Generation
CVPR 2026
ATGL: An Adaptive-Threshold Global Loss for Document-level Relation Extraction
ACL 2026
A Training-Free Style-Personalization via SVD-Based Feature Decomposition
CVPR 2026
Attack for Defense: Adversarial Agents for Point Prompt Optimization Empowering Segment Anything Model
CVPR 2026
Attention-to-Survival: Multimodal Fracture Risk Prediction Based on Pelvic Radiographs and Clinical Data from the Study of Osteoporotic Fractures
MIDL 2026
Attribute-Preserving Pseudo-Labeling for Diffusion-Based Face Swapping
CVPR 2026