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 De-Biased Representations for Remote-Sensing Imagery
NeurIPS 2024
Learning Degradation-Independent Representations for Camera ISP Pipelines
CVPR 2024
Learning Diffusion Texture Priors for Image Restoration
CVPR 2024
Learning Discriminative Noise Guidance for Image Forgery Detection and Localization
AAAI 2024
Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation
CVPR 2024
Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information Minimization
NeurIPS 2024
Learning Distinguishable Trajectory Representation with Contrastive Loss
NeurIPS 2024
Learning Distributions on Manifolds with Free-Form Flows
NeurIPS 2024
Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck
AAAI 2024
Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret
AAAI 2024
Learning Equi-angular Representations for Online Continual Learning
CVPR 2024
Learning Formal Mathematics From Intrinsic Motivation
NeurIPS 2024
Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation
NeurIPS 2024
Learning from an Infant’s Visual Experience
AAAI 2024
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration
AAAI 2024
Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL
EMNLP 2024
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features
ICML 2024
Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training
EMNLP 2024
Learning from Others: Similarity-based Regularization for Mitigating Dataset Bias.
ACL 2024
Learning from Pattern Completion: Self-supervised Controllable Generation
NeurIPS 2024
Learning from Relevant Subgoals in Successful Dialogs using Iterative Training for Task-oriented Dialog Systems
EMNLP 2024
Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate
NeurIPS 2024
Learning Generalized Medical Image Segmentation from Decoupled Feature Queries
AAAI 2024
Learning Generalized Segmentation for Foggy-Scenes by Bi-directional Wavelet Guidance
AAAI 2024
Learning Geometry-Aware Representations for New Intent Discovery
ACL 2024