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)
Consistency Regularization Training for Compositional Generalization
ACL 2023
Consonant is all you need: a compact representation of English text for efficient NLP
EMNLP 2023
Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars
NeurIPS 2023
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
CVPR 2023
Content-based Unrestricted Adversarial Attack
NeurIPS 2023
Context-Aware Document Simplification
ACL 2023
Context-Aware Pretraining for Efficient Blind Image Decomposition
CVPR 2023
Context-Based Trit-Plane Coding for Progressive Image Compression
CVPR 2023
Context Consistency Regularization for Label Sparsity in Time Series
ICML 2023
Context or Knowledge is Not Always Necessary: A Contrastive Learning Framework for Emotion Recognition in Conversations
ACL 2023
Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering
EMNLP 2023
Contextualized Soft Prompts for Extraction of Event Arguments
ACL 2023
Contextual Knowledge Learning for Dialogue Generation
ACL 2023
Continual Contrastive Finetuning Improves Low-Resource Relation Extraction
ACL 2023
Continual Learning with Scaled Gradient Projection
AAAI 2023
Continual Variational Autoencoder via Continual Generative Knowledge Distillation
AAAI 2023
Continual Vision-Language Representation Learning with Off-Diagonal Information
ICML 2023
Continuous Parametric Optical Flow
NeurIPS 2023
Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation With Implicit Neural Representations
CVPR 2023
ContraCLM: Contrastive Learning For Causal Language Model
ACL 2023
ContraFeat: Contrasting Deep Features for Semantic Discovery
AAAI 2023
ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-Real Novel View Synthesis via Contrastive Learning
CVPR 2023
CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet Extraction
EMNLP 2023
Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning
ICLR 2023
Contrastive Attention Networks for Attribution of Early Modern Print
AAAI 2023