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
'5
'10
'15
'20
'25
Papers (including subtopics)
Causal Intervention-based Few-Shot Named Entity Recognition
EMNLP 2023
Causal Intervention for Mitigating Name Bias in Machine Reading Comprehension
ACL 2023
Causal Isotonic Calibration for Heterogeneous Treatment Effects
ICML 2023
Causality-aware Concept Extraction based on Knowledge-guided Prompting
ACL 2023
Causal Recurrent Variational Autoencoder for Medical Time Series Generation
AAAI 2023
Causal Strategic Classification: A Tale of Two Shifts
ICML 2023
Causal Structure Learning for Latent Intervened Non-stationary Data
ICML 2023
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
CLeaR 2023
CauSE: Causal Search Engine for Understanding Contact-Center Conversations
Interspeech 2023
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation
ICCV 2023
CBA: Improving Online Continual Learning via Continual Bias Adaptor
ICCV 2023
CCEval: A Representative Evaluation Benchmark for the Chinese-centric Multilingual Machine Translation
EMNLP 2023
CCSRD: Content-Centric Speech Representation Disentanglement Learning for End-to-End Speech Translation
EMNLP 2023
CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems
AAAI 2023
CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning
AAAI 2023
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification
ICCV 2023
CEIL: Generalized Contextual Imitation Learning
NeurIPS 2023
CELDA: Leveraging Black-box Language Model as Enhanced Classifier without Labels
ACL 2023
CellTranspose: Few-Shot Domain Adaptation for Cellular Instance Segmentation
WACV 2023
Cell Variational Information Bottleneck Network
ACML 2023
CEMA – Cost-Efficient Machine-Assisted Document Annotations
AAAI 2023
CEM: Constrained Entropy Maximization for Task-Agnostic Safe Exploration
AAAI 2023
Center-Aware Adversarial Augmentation for Single Domain Generalization
WACV 2023
Centerless Multi-View K-means Based on the Adjacency Matrix
AAAI 2023
Certifiable Out-of-Distribution Generalization
AAAI 2023