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)
Lakksh at SemEval-2026 Task 11(1 & 2): Neuro-Symbolic Decomposition to Mitigate Content Bias in Syllogistic Reasoning
SemEval 2026
lamanhnguyen at SemEval-2026 Task 2: Uncovering Lexical Bias and Momentum Lag in Longitudinal Emotion Prediction using Multi-task DeBERTa
SemEval 2026
LAMCL: A Length-aware Momentum Contrastive Learning Framework for Multiscale Machine-Revised Text Detection
ACL 2026
LangPose: Language-Aligned Motion for Robust 3D Human Pose Estimation
WACV 2026
Language Does Matter for Cross-Domain Few-Shot Visual Feature Enhancement
CVPR 2026
Language-driven Fine-grained Retrieval
CVPR 2026
Language-Free Generative Editing from One Visual Example
CVPR 2026
Language-Grounded Decoupled Action Representation for Robotic Manipulation
CVPR 2026
Language-guided Frequency Modulation for Large Vision-Language Models
CVPR 2026
Language Models Struggle to Use Representations Learned In-Context
ACL 2026
LAOF: Robust Latent Action Learning with Optical Flow Constraints
CVPR 2026
Large Language Model-Enhanced Multi-Armed Bandits
ACL 2026
Large Sign Language Models: Toward 3D American Sign Language Translation
WACV 2026
LASAR: Towards Spatio-temporal Reasoning with Latent Cognitive Map
CVPR 2026
LaS-Comp: Zero-shot 3D Completion with Latent-Spatial Consistency
CVPR 2026
LATE-iimas at SemEval-2026 Task 10: Conspiracy Detection via DeBERTa-v3 Ensemble and Weighted Loss Optimization
SemEval 2026
Latent Chain-of-Thought World Modeling for End-to-End Autonomous Driving
CVPR 2026
LatentGate: Low-Latency Semantic Routing via Frozen-Backbone Probing of Small Language Models
ACL 2026
Lattice at SemEval-2026 Task 1: Why did the prompt engineer break up with their LLM? Because zero-shot was zero-fun.
SemEval 2026
LayoutAD: Exploring Semantic-Geometric Misalignment Reasoning for Scene Layout Anomaly Detection
CVPR 2026
LCR-RAG: Enhancing Logical Consistency in Retrieval-Augmented Generation via Neuro-symbolic Reinforcement Learning
ACL 2026
LEADER: Learning Reliable Local-to-Global Correspondences for LiDAR Relocalization
CVPR 2026
LeapAlign: Post-training Flow Matching Models at Any Generation Step by Building Two-Step Trajectories
CVPR 2026
LEAP: Layer-wise Exit-Aware Pretraining for Efficient Transformer Inference
ACL 2026
Learnability-Guided Diffusion for Dataset Distillation
CVPR 2026