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)
Clink! Chop! Thud! - Learning Object Sounds from Real-World Interactions
ICCV 2025
CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination
AAAI 2025
CLIP-driven View-aware Prompt Learning for Unsupervised Vehicle Re-identification
AAAI 2025
CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP
ACL 2025
CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic Segmentation
ICCV 2025
CLIP-Fusion: A Spatio-Temporal Quality Metric for Frame Interpolation
WACV 2025
CLIP-GS: Unifying Vision-Language Representation with 3D Gaussian Splatting
ICCV 2025
CLIP is Almost All You Need: Towards Parameter-Efficient Scene Text Retrieval without OCR
CVPR 2025
CLIP-PCQA: Exploring Subjective-Aligned Vision-Language Modeling for Point Cloud Quality Assessment
AAAI 2025
CLMTracing: Black-box User-level Watermarking for Code Language Model Tracing
EMNLP 2025
CLNX: Bridging Code and Natural Language for C/C++ Vulnerability-Contributing Commits Identification
AAAI 2025
CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss
CVPR 2025
Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models
CVPR 2025
Closest Neighbors are Harmful for Lightweight Masked Auto-encoders
CVPR 2025
Closing the Domain Gap in Manga Colorization via Aligned Paired Dataset
WACV 2025
Cluster Based Heterogeneous Federated Foundation Model Adaptation and Fine-Tuning
AAAI 2025
Clustered Invariant Risk Minimization
AISTATS 2025
Cluster-guided Contrastive Class-imbalanced Graph Classification
AAAI 2025
Clustering-based Hard Negative Sampling for Supervised Contrastive Speaker Verification
Interspeech 2025
Clustering Properties of Self-Supervised Learning
ICML 2025
CM3T: Framework for Efficient Multimodal Learning for Inhomogeneous Interaction Datasets
WACV 2025
CMSP-ST: Cross-modal Mixup with Speech Purification for End-to-End Speech Translation
Interspeech 2025
CMT: A Cascade MAR with Topology Predictor for Multimodal Conditional CAD Generation
ICCV 2025
CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models
AAAI 2025
CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection
AAAI 2025