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)
Multi-Relational Probabilistic Event Representation Learning via Projected Gaussian Embedding
ACL 2023
Multi-Resolution Monocular Depth Map Fusion by Self-Supervised Gradient-Based Composition
AAAI 2023
Multi-Row, Multi-Span Distant Supervision For Table+Text Question Answering
ACL 2023
Multisample Flow Matching: Straightening Flows with Minibatch Couplings
ICML 2023
Multi-Source (Pre-)Training for Cross-Domain Measurement, Unit and Context Extraction
ACL 2023
Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation
ACL 2023
Multispectral Invisible Coating: Laminated Visible-Thermal Physical Attack against Multispectral Object Detectors Using Transparent Low-E Films
AAAI 2023
Multi-Stage Pre-training Enhanced by ChatGPT for Multi-Scenario Multi-Domain Dialogue Summarization
EMNLP 2023
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
ICML 2023
Multi-target Backdoor Attacks for Code Pre-trained Models
ACL 2023
Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum
NeurIPS 2023
Multitask Multimodal Prompted Training for Interactive Embodied Task Completion
EMNLP 2023
Multitask Pretraining with Structured Knowledge for Text-to-SQL Generation
ACL 2023
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning
ICLR 2023
Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning
ACL 2023
Multi-User Reinforcement Learning with Low Rank Rewards
ICML 2023
Multi-View Action Recognition Using Contrastive Learning
WACV 2023
Multi-View Adversarial Discriminator: Mine the Non-Causal Factors for Object Detection in Unseen Domains
CVPR 2023
Multiview Compressive Coding for 3D Reconstruction
CVPR 2023
Multi-View Domain Adaptive Object Detection on Camera Networks
AAAI 2023
Multi-View Frequency-Attention Alternative to CNN Frontends for Automatic Speech Recognition
Interspeech 2023
Multiview Identifiers Enhanced Generative Retrieval
ACL 2023
Multi-View Masked World Models for Visual Robotic Manipulation
ICML 2023
Multi-View Stereo Representation Revist: Region-Aware MVSNet
CVPR 2023
MultiZoo and MultiBench: A Standardized Toolkit for Multimodal Deep Learning
JMLR 2023