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)
CommonCanvas: Open Diffusion Models Trained on Creative-Commons Images
CVPR 2024
Common Event Tethering to Improve Prediction of Rare Clinical Events
UAI 2024
CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions
EMNLP 2024
Commonsense for Zero-Shot Natural Language Video Localization
AAAI 2024
Commonsense Knowledge Editing Based on Free-Text in LLMs
EMNLP 2024
Communication-Efficient Federated Learning with Accelerated Client Gradient
CVPR 2024
Community-Invariant Graph Contrastive Learning
ICML 2024
CompAct: Compressing Retrieved Documents Actively for Question Answering
EMNLP 2024
Compact Language Models via Pruning and Knowledge Distillation
NeurIPS 2024
Comparing Data Augmentation Methods for End-to-End Task-Oriented Dialog Systems
ACL 2024
Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks
AAAI 2024
Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning
AAAI 2024
Complementing Event Streams and RGB Frames for Hand Mesh Reconstruction
CVPR 2024
Complexity Matters: Feature Learning in the Presence of Spurious Correlations
ICML 2024
Complex Organ Mask Guided Radiology Report Generation
WACV 2024
Composite Diffusion: whole >= Sparts
WACV 2024
Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions
AAAI 2024
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning
NeurIPS 2024
Compositional Inversion for Stable Diffusion Models
AAAI 2024
Compositional Video Understanding with Spatiotemporal Structure-based Transformers
CVPR 2024
Compound Text-Guided Prompt Tuning via Image-Adaptive Cues
AAAI 2024
Comprehensive View Embedding Learning for Single-Cell Multimodal Integration
AAAI 2024
Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach
ICML 2024
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold
AAAI 2024
Computational Analysis of Dehumanization of Ukrainians on Russian Social Media
EACL 2024