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)
Inference Stage Optimization for Cross-scenario 3D Human Pose Estimation
NeurIPS 2020
Inferring about fraudulent collusion risk on Brazilian public works contracts in official texts using a Bi-LSTM approach
EMNLP 2020
Inferring Continuous Treatment Doses from Historical Data via Model-Based Entropy-Regularized Reinforcement Learning
ACML 2020
Inferring DQN structure for high-dimensional continuous control
ICML 2020
Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations
AAAI 2020
Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition
CVPR 2020
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
ICML 2020
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
ICLR 2020
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip
AAAI 2020
Information Directed Sampling for Linear Partial Monitoring
COLT 2020
Information Elicitation Mechanisms for Statistical Estimation
AAAI 2020
Information Seeking in the Spirit of Learning: A Dataset for Conversational Curiosity
EMNLP 2020
Information Shaping for Enhanced Goal Recognition of Partially-Informed Agents
AAAI 2020
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback
NeurIPS 2020
Information-Theoretic Local Minima Characterization and Regularization
ICML 2020
Information Theoretic Model Predictive Q-Learning
L4DC 2020
Information-theoretic Task Selection for Meta-Reinforcement Learning
NeurIPS 2020
Injecting Numerical Reasoning Skills into Language Models
ACL 2020
Input-Aware Dynamic Backdoor Attack
NeurIPS 2020
Inquisitive Question Generation for High Level Text Comprehension
EMNLP 2020
InstaNAS: Instance-Aware Neural Architecture Search
AAAI 2020
Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection
CVPR 2020
Instance Credibility Inference for Few-Shot Learning
CVPR 2020
Instance-optimality in differential privacy via approximate inverse sensitivity mechanisms
NeurIPS 2020
Instance Selection for GANs
NeurIPS 2020