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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Papers (including subtopics)
Open-Set Domain Adaptation for Semantic Segmentation
CVPR 2024
Open-Set Facial Expression Recognition
AAAI 2024
Open-Set Graph Domain Adaptation via Separate Domain Alignment
AAAI 2024
Open-Set Object Detection by Aligning Known Class Representations
WACV 2024
Open-Set Semi-Supervised Text Classification via Adversarial Disagreement Maximization
ACL 2024
OpenSight: A Simple Open-Vocabulary Framework for LiDAR-Based Object Detection
ECCV 2024
OpenT2T: An Open-Source Toolkit for Table-to-Text Generation
EMNLP 2024
OpenVNA: A Framework for Analyzing the Behavior of Multimodal Language Understanding System under Noisy Scenarios
ACL 2024
Open-Vocabulary 3D Semantic Segmentation with Foundation Models
CVPR 2024
Open-Vocabulary Federated Learning with Multimodal Prototyping
NAACL 2024
Open-Vocabulary Object Detection via Language Hierarchy
NeurIPS 2024
Open-Vocabulary Segmentation with Semantic-Assisted Calibration
CVPR 2024
Open Vocabulary Semantic Scene Sketch Understanding
CVPR 2024
Open-Vocabulary Video Anomaly Detection
CVPR 2024
Open-World Human-Object Interaction Detection via Multi-modal Prompts
CVPR 2024
Open-world Multi-label Text Classification with Extremely Weak Supervision
EMNLP 2024
Open-World Semantic Segmentation Including Class Similarity
CVPR 2024
Opinions Are Not Always Positive: Debiasing Opinion Summarization with Model-Specific and Model-Agnostic Methods
COLING 2024
Opinion Unaware Image Quality Assessment via Adversarial Convolutional Variational Autoencoder
WACV 2024
Opponent Modeling based on Subgoal Inference
NeurIPS 2024
Opponent Modeling with In-context Search
NeurIPS 2024
Opponent-Model Search in Games with Incomplete Information
AAAI 2024
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
NeurIPS 2024
Optimal Algorithms for Online Convex Optimization with Adversarial Constraints
NeurIPS 2024
Optimal Attack and Defense for Reinforcement Learning
AAAI 2024