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)
Incomplete learning of multi-modal connectome for brain disorder diagnosis via modal-mixup and deep supervision
MIDL 2023
Incomplete Multimodality-Diffused Emotion Recognition
NeurIPS 2023
Incomplete Multi-view Clustering via Prototype-based Imputation
IJCAI 2023
Incomplete Utterance Rewriting as Sequential Greedy Tagging
ACL 2023
In-Context Demonstration Selection with Cross Entropy Difference
EMNLP 2023
In-Context Learning Creates Task Vectors
EMNLP 2023
In-context Learning for Few-shot Multimodal Named Entity Recognition
EMNLP 2023
In-Context Learning for Text Classification with Many Labels
EMNLP 2023
In-context Learning of Large Language Models for Controlled Dialogue Summarization: A Holistic Benchmark and Empirical Analysis
EMNLP 2023
In-Context Meta-Learning vs. Semantic Score-Based Similarity: A Comparative Study in Arabic Short Answer Grading
EMNLP 2023
Incorporating Attribution Importance for Improving Faithfulness Metrics
ACL 2023
Incorporating Factuality Inference to Identify Document-level Event Factuality
ACL 2023
Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach
AISTATS 2023
Incorporating Probing Signals into Multimodal Machine Translation via Visual Question-Answering Pairs
EMNLP 2023
Incorporating Syntactic Knowledge into Pre-trained Language Model using Optimization for Overcoming Catastrophic Forgetting
EMNLP 2023
Incorporating Task-Specific Concept Knowledge into Script Learning
EACL 2023
Incorporating Unlikely Negative Cues for Distinctive Image Captioning
IJCAI 2023
Increasing Impact of Mobile Health Programs: SAHELI for Maternal and Child Care
AAAI 2023
Incremental Aggregated Riemannian Gradient Method for Distributed PCA
AISTATS 2023
Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning
AAAI 2023
Incremental Generalized Category Discovery
ICCV 2023
Incremental Image De-raining via Associative Memory
AAAI 2023
Incremental Learning of Structured Memory via Closed-Loop Transcription
ICLR 2023
Incremental Reinforcement Learning with Dual-Adaptive ε-Greedy Exploration
AAAI 2023
Incrementer: Transformer for Class-Incremental Semantic Segmentation With Knowledge Distillation Focusing on Old Class
CVPR 2023