Learning Types
56,254 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 (1,984)
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
2,020
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Joint Document-Level Event Extraction via Token-Token Bidirectional Event Completed Graph
ACL 2023
Joint-Former: Jointly Regularized and Locally Down-sampled Conformer for Semi-supervised Sound Event Detection
Interspeech 2023
Joint Generator-Ranker Learning for Natural Language Generation
ACL 2023
Joint Geometrical and Statistical Domain Adaptation for Cross-domain Code Vulnerability Detection
EMNLP 2023
Joint Instance Reconstruction and Feature Subspace Alignment for Cross-Domain Speech Emotion Recognition
Interspeech 2023
Joint Learning for Legal Text Retrieval and Textual Entailment: Leveraging the Relationship between Relevancy and Affirmation
EMNLP 2023
Joint Learning Model for Low-Resource Agglutinative Language Morphological Tagging
ACL 2023
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization
NeurIPS 2023
Jointly Imputing Multi-View Data with Optimal Transport
AAAI 2023
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training
IJCAI 2023
JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification
EMNLP 2023
Jointprop: Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation
ACL 2023
Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering
AAAI 2023
Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data
ACL 2023
Joint Video Multi-Frame Interpolation and Deblurring Under Unknown Exposure Time
CVPR 2023
Joint Visual Grounding and Tracking With Natural Language Specification
CVPR 2023
JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery
ICCV 2023
JourneyDB: A Benchmark for Generative Image Understanding
NeurIPS 2023
Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimoda Emotion Recognition
EMNLP 2023
JUAGE at SemEval-2023 Task 10: Parameter Efficient Classification
SemEval 2023
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
NeurIPS 2023
Jump Interval-Learning for Individualized Decision Making with Continuous Treatments
JMLR 2023
Just Adjust One Prompt: Enhancing In-Context Dialogue Scoring via Constructing the Optimal Subgraph of Demonstrations and Prompts
EMNLP 2023
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback
EMNLP 2023
Just Like a Human Would, Direct Access to Sarcasm Augmented with Potential Result and Reaction
ACL 2023