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
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'25
Papers (including subtopics)
Consistent Amortized Clustering via Generative Flow Networks
AISTATS 2025
ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints
ICCV 2025
Constrained Sequential Inference in Machine Learning Using Constraint Programming
IJCAI 2025
ConstStyle: Robust Domain Generalization with Unified Style Transformation
ICCV 2025
Contamination Budget: Trade-offs Between Breadth, Depth and Difficulty
IJCAI 2025
Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification
AAAI 2025
Content-free Logical Modification of Large Language Model by Disentangling and Modifying Logic Representation
AAAI 2025
Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels
AAAI 2025
Context-Aware Hierarchical Merging for Long Document Summarization
ACL 2025
Context is all you need? Low-resource conversational ASR profits from context, coming from the same or from the other speaker
Interspeech 2025
Context is Key: A Benchmark for Forecasting with Essential Textual Information
ICML 2025
Contextual Document Embeddings
ICLR 2025
Contextualized Automatic Speech Recognition with Dynamic Vocabulary Prediction and Activation
Interspeech 2025
ContextualStory: Consistent Visual Storytelling with Spatially-Enhanced and Storyline Context
AAAI 2025
Contextual Structure Knowledge Transfer for Graph Neural Networks
AAAI 2025
Contextures: Representations from Contexts
ICML 2025
Continual Gradient Low-Rank Projection Fine-Tuning for LLMs
ACL 2025
Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis
ICCV 2025
Continual Personalization for Diffusion Models
ICCV 2025
Continual Pre-Training is (not) What You Need in Domain Adaptation
ACML 2025
Continual SFT Matches Multimodal RLHF with Negative Supervision
CVPR 2025
Continual Unsupervised Generative Modelling via Online Optimal Transport
AAAI 2025
Continuity-Preserving Convolutional Autoencoders for Learning Continuous Latent Dynamical Models from Images
ICLR 2025
Continuous Learning for Children's ASR: Overcoming Catastrophic Forgetting with Elastic Weight Consolidation and Synaptic Intelligence
Interspeech 2025
Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI Segmentation
WACV 2025