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)
Unsupervised Lexical Simplification with Context Augmentation
EMNLP 2023
Unsupervised Melody-to-Lyrics Generation
ACL 2023
Unsupervised Object Localization: Observing the Background To Discover Objects
CVPR 2023
Unsupervised Open-domain Keyphrase Generation
ACL 2023
Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera
NeurIPS 2023
Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation
NeurIPS 2023
Unsupervised representation learning with recognition-parametrised probabilistic models
AISTATS 2023
Unsupervised Selective Rationalization with Noise Injection
ACL 2023
Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations
ICLR 2023
Unsupervised Sounding Pixel Learning
EMNLP 2023
Unsupervised Space-Time Network for Temporally-Consistent Segmentation of Multiple Motions
CVPR 2023
Unsupervised Subtitle Segmentation with Masked Language Models
ACL 2023
Unsupervised Summarization Re-ranking
ACL 2023
Unsupervised Task Graph Generation from Instructional Video Transcripts
ACL 2023
Unsupervised Transfer Components Learning for Cross-Domain Speech Emotion Recognition
Interspeech 2023
Unsupervised visualization of image datasets using contrastive learning
ICLR 2023
Unsupervised Volumetric Animation
CVPR 2023
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense
AAAI 2023
Unveiling Concepts Learned by a World-Class Chess-Playing Agent
IJCAI 2023
Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing
AAAI 2023
Unveiling the Implicit Toxicity in Large Language Models
EMNLP 2023
Unveiling the Latent Space Geometry of Push-Forward Generative Models
ICML 2023
UoT at NADI 2023 shared task: Automatic Arabic Dialect Identification is Made Possible
EMNLP 2023
UPPAM: A Unified Pre-training Architecture for Political Actor Modeling based on Language
ACL 2023
UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning
EMNLP 2023