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)
Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance
EMNLP 2025
Comparison-Based Automatic Evaluation for Meeting Summarization
Interspeech 2025
Comparison of Acoustic and Textual Features for Dysarthria Severity Classification in Amyotrophic Lateral Sclerosis
Interspeech 2025
Compass Control: Multi Object Orientation Control for Text-to-Image Generation
CVPR 2025
Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising
CVPR 2025
CompleteMe: Reference-based Human Image Completion
ICCV 2025
Complexity Experts are Task-Discriminative Learners for Any Image Restoration
CVPR 2025
Composable Cross-prompt Essay Scoring by Merging Models
EMNLP 2025
Compositional Caching for Training-free Open-vocabulary Attribute Detection
CVPR 2025
Compositional Targeted Multi-Label Universal Perturbations
CVPR 2025
Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo
AISTATS 2025
Comprehensive and Efficient Distillation for Lightweight Sentiment Analysis Models
EMNLP 2025
Comprehensive Evaluation on Lexical Normalization: Boundary-Aware Approaches for Unsegmented Languages
EMNLP 2025
Comprehensive Layer-wise Analysis of SSL Models for Audio Deepfake Detection
NAACL 2025
Comprehensive Multi-Modal Prototypes Are Simple and Effective Classifiers for Vast-Vocabulary Object Detection
AAAI 2025
Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning
AAAI 2025
Computing high-dimensional optimal transport by flow neural networks
AISTATS 2025
ConceptCarve: Dynamic Realization of Evidence
ACL 2025
Concept Forgetting via Label Annealing
UAI 2025
Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization
CVPR 2025
ConceptSplit: Decoupled Multi-Concept Personalization of Diffusion Models via Token-wise Adaptation and Attention Disentanglement
ICCV 2025
ConCodeEval: Evaluating Large Language Models for Code Constraints in Domain-Specific Languages
ACL 2025
Conditional Generative Learning from Invariant Representations in Multi-Source: Robustness and Efficiency
AISTATS 2025
Conditional [MASK] Discrete Diffusion Language Model
EMNLP 2025
Conditional Multi-Stage Failure Recovery for Embodied Agents
ACL 2025