Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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'20
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Papers (including subtopics)
Semantic Role Labeling Guided Out-of-distribution Detection
COLING 2024
Semantic Routing via Autoregressive Modeling
NeurIPS 2024
Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention
AAAI 2024
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models
EACL 2024
Semantic Shield: Defending Vision-Language Models Against Backdooring and Poisoning via Fine-grained Knowledge Alignment
CVPR 2024
Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP
EMNLP 2024
Semantic Training Signals Promote Hierarchical Syntactic Generalization in Transformers
EMNLP 2024
SEMA: Semantic Attention for Capturing Long-Range Dependencies in Egocentric Lifelogs
WACV 2024
SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning
NeurIPS 2024
SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense
SemEval 2024
Semi-Automatic Topic Discovery and Classification for Epidemic Intelligence via Large Language Models
COLING 2024
Semi-Open 3D Object Retrieval via Hierarchical Equilibrium on Hypergraph
NeurIPS 2024
Semiparametric Token-Sequence Co-Supervision
ACL 2024
SemiReward: A General Reward Model for Semi-supervised Learning
ICLR 2024
Semi-supervised 3D Object Detection with PatchTeacher and PillarMix
AAAI 2024
Semi-supervised Active Learning for Video Action Detection
AAAI 2024
Semi-Supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning
AAAI 2024
Semi-supervised Class-Agnostic Motion Prediction with Pseudo Label Regeneration and BEVMix
AAAI 2024
Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection
NAACL 2024
Semi-supervised Group DRO: Combating Sparsity with Unlabeled Data
ALT 2024
Semi-supervised Inference for Block-wise Missing Data without Imputation
JMLR 2024
Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data
NeurIPS 2024
Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach
AAAI 2024
Semi-supervised learning with Noisy Students improves domain generalization in optic disc and cup segmentation in uncropped fundus images
MIDL 2024
Semi-supervised Multi-label Learning with Balanced Binary Angular Margin Loss
NeurIPS 2024