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)
Convergence and Quality of Iterative Voting Under Non-Scoring Rules
IJCAI 2017
Convergence Rate of Stochastic k-means
AISTATS 2017
Coordinated Multi-Agent Imitation Learning
ICML 2017
Coordinated Versus Decentralized Exploration In Multi-Agent Multi-Armed Bandits
IJCAI 2017
CORe50: a New Dataset and Benchmark for Continuous Object Recognition
CoRL 2017
Co-reference Resolution of Elided Subjects and Possessive Pronouns in Spanish-English Statistical Machine Translation
EACL 2017
Correlational Dueling Bandits with Application to Clinical Treatment in Large Decision Spaces
IJCAI 2017
Cost-Effective Active Learning from Diverse Labelers
IJCAI 2017
Count-Based Exploration with Neural Density Models
ICML 2017
Counterfactual Data-Fusion for Online Reinforcement Learners
ICML 2017
Counterfactual Fairness
NeurIPS 2017
Counterfactual Language Model Adaptation for Suggesting Phrases
IJCNLP 2017
Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation
EMNLP 2017
Coupling Distributed and Symbolic Execution for Natural Language Queries
ICML 2017
Creating POS Tagging and Dependency Parsing Experts via Topic Modeling
EACL 2017
CRF Autoencoder for Unsupervised Dependency Parsing
EMNLP 2017
Cross-Domain Classification of Drowsiness in Speech: The Case of Alcohol Intoxication and Sleep Deprivation
Interspeech 2017
Cross-Domain Recommendation: An Embedding and Mapping Approach
IJCAI 2017
Crossing Nets: Combining GANs and VAEs With a Shared Latent Space for Hand Pose Estimation
CVPR 2017
Cross-language Learning with Adversarial Neural Networks
CoNLL 2017
Cross-lingual and cross-domain discourse segmentation of entire documents
ACL 2017
Cross-lingual Character-Level Neural Morphological Tagging
EMNLP 2017
Cross-Lingual Dependency Parsing with Late Decoding for Truly Low-Resource Languages
EACL 2017
Cross-lingual Distillation for Text Classification
ACL 2017
Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation
EMNLP 2017