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)
Learning Scale-Aware Spatio-temporal Implicit Representation for Event-based Motion Deblurring
ICML 2024
Learning Spatially-Aware Language and Audio Embeddings
NeurIPS 2024
Learning Structured Representations with Hyperbolic Embeddings
NeurIPS 2024
Learning Subject-Aware Cropping by Outpainting Professional Photos
AAAI 2024
Learning Successor Features the Simple Way
NeurIPS 2024
Learning symmetries via weight-sharing with doubly stochastic tensors
NeurIPS 2024
Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection
AAAI 2024
Learning the 3D Fauna of the Web
CVPR 2024
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning
ECCV 2024
Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation
AAAI 2024
Learning to Approximate Adaptive Kernel Convolution on Graphs
AAAI 2024
Learning to Ask Denotative and Connotative Questions for Knowledge-based VQA
EMNLP 2024
Learning to Assist Humans without Inferring Rewards
NeurIPS 2024
Learning to compute Gröbner bases
NeurIPS 2024
Learning to Control Camera Exposure via Reinforcement Learning
CVPR 2024
Learning to Correct for QA Reasoning with Black-box LLMs
EMNLP 2024
Learning to Count without Annotations
CVPR 2024
Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation
ACL 2024
Learning To Generate Training Datasets for Robust Semantic Segmentation
WACV 2024
Learning to Jointly Understand Visual and Tactile Signals
ICLR 2024
Learning to Learn Better Visual Prompts
AAAI 2024
Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs
CVPR 2024
Learning to Manipulate Artistic Images
AAAI 2024
Learning to Match Representations is Better for End-to-End Task-Oriented Dialog System
EMNLP 2024
Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning
AAAI 2024