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)
Dynamic Magic: Unleashing Restricted Knowledge for Lifelong Person Re-Identification
CVPR 2026
Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation
ACL 2026
DynamicsBoost: Dynamic Plausible Video Generation via Annotation-Free Continuation Preference Optimization
CVPR 2026
Dynamics: Language-Based Representation for Inferring Rigid-Body Dynamics From Videos
CVPR 2026
EagleNet: Energy-Aware Fine-Grained Relationship Learning Network for Text-Video Retrieval
CVPR 2026
EagleVision: A Dual-Stage Framework with BEV-grounding-based Chain-of-Thought for Spatial Intelligence
CVPR 2026
Easy2Hard: From Partially to Fully Unmatched Modalities as Negative Samples in Contrastive Learning
CVPR 2026
EasyOmnimatte: Taming Pretrained Inpainting Diffusion Models for End-to-End Video Layered Decompositio
CVPR 2026
EasyV2V: A High-quality Instruction-based Video Editing Framework
CVPR 2026
EchoFoley: Event-Centric Hierarchical Control for Video Grounded Creative Sound Generation
CVPR 2026
ECO: Energy-Constrained Operator Learning for Chaotic Dynamics with Boundedness Guarantees
L4DC 2026
E-comIQ-ZH: A Human-Aligned Dataset and Benchmark for Fine-Grained Evaluation of E-commerce Posters with Chain-of-Thought
CVPR 2026
EconProver: Towards More Economical Test-Time Scaling for Automated Theorem Proving
ACL 2026
ECT-3DMedSAM: Efficient Cross Teaching Using Segment Anything Model for Semi-Supervised 3D Medical Image Segmentation
MIDL 2026
Edge-Focused Super-Resolution for Omnidirectional Images with Spherical Geometric Augmentation
CVPR 2026
Edge-RecViT: Efficient Vision Transformer via Semantic-Refined Dynamic Recursion
CVPR 2026
Edges Compete for Trust: Group Relative Edge Optimization for Building Reconstruction from Point Clouds
CVPR 2026
Edit-aware RAW reconstruction
CVPR 2026
Edit-Aware Reward Modeling for Chinese Grammatical Error Correction
ACL 2026
Editprint: General Digital Image Forensics via Editing Fingerprint with Self-Augmentation Training
CVPR 2026
EDSD: Entropy-Driven Design for Faster Speculative Decoding
ACL 2026
EEGiT: Teaching Vision Transformers to Understand the EEG signal
CVPR 2026
Efficient Learned Data Compression via Dual-Stream Feature Decoupling
ACL 2026
Efficiently Learning To Reason or Not to Reason: Root-token Policy Optimization for Adaptive Thinking
ACL 2026
Efficient Paths and Dense Rewards: Probabilistic Flow Reasoning for Large Language Models
ACL 2026