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)
Multiresolution Knowledge Distillation for Anomaly Detection
CVPR 2021
Multi-Scale Aligned Distillation for Low-Resolution Detection
CVPR 2021
Multi-Scale Matching Networks for Semantic Correspondence
ICCV 2021
Multi-Scale Representation Learning on Proteins
NeurIPS 2021
Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition
AAAI 2021
Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation
EMNLP 2021
Multi-Source Domain Adaptation With Collaborative Learning for Semantic Segmentation
CVPR 2021
Multi-SpectroGAN: High-Diversity and High-Fidelity Spectrogram Generation with Adversarial Style Combination for Speech Synthesis
AAAI 2021
Multi-Stage Aggregated Transformer Network for Temporal Language Localization in Videos
CVPR 2021
Multi-stage Pre-training over Simplified Multimodal Pre-training Models
ACL 2021
Multi-Stage Progressive Image Restoration
CVPR 2021
Multi-stage Training with Improved Negative Contrast for Neural Passage Retrieval
EMNLP 2021
Multi-stream based marked point process
ACML 2021
Multi-Stream Gated and Pyramidal Temporal Convolutional Neural Networks for Audio-Visual Speech Separation in Multi-Talker Environments
Interspeech 2021
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation
ICCV 2021
Multi-task Actor-Critic with Knowledge Transfer via a Shared Critic
ACML 2021
Multi-task and Multi-corpora Training Strategies to Enhance Argumentative Sentence Linking Performance
EMNLP 2021
Multi-task Learning in Argument Mining for Persuasive Online Discussions
EMNLP 2021
Multi-Task Retrieval for Knowledge-Intensive Tasks
ACL 2021
Multi-Task Self-Training for Learning General Representations
ICCV 2021
Multi-type Disentanglement without Adversarial Training
AAAI 2021
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows
ICLR 2021
Multi-View Cross-Lingual Structured Prediction with Minimum Supervision
ACL 2021
Multi-View Information-Bottleneck Representation Learning
AAAI 2021
Multi-View Representation Learning with Manifold Smoothness
AAAI 2021