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)
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with K-Means Features
AAAI 2020
Contemporary Polish Language Model (Version 2) Using Big Data and Sub-Word Approach
Interspeech 2020
Context-Aware Answer Extraction in Question Answering
EMNLP 2020
Context-Aware Automatic Text Simplification of Health Materials in Low-Resource Domains
EMNLP 2020
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning
ICML 2020
Context-Aware Goodness of Pronunciation for Computer-Assisted Pronunciation Training
Interspeech 2020
Context Aware Sequence Modeling
IJCAI 2020
Context-Aware Text Normalisation for Historical Dialects
COLING 2020
Context-Aware Zero-Shot Recognition
AAAI 2020
Context-Dependent Domain Adversarial Neural Network for Multimodal Emotion Recognition
Interspeech 2020
Context Mover’s Distance & Barycenters: Optimal Transport of Contexts for Building Representations
AISTATS 2020
Context-Transformer: Tackling Object Confusion for Few-Shot Detection
AAAI 2020
Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting
JMLR 2020
Contextual Combinatorial Volatile Multi-armed Bandit with Adaptive Discretization
AISTATS 2020
Contextual Embeddings for Arabic-English Code-Switched Data
COLING 2020
Contextualized Point-of-Interest Recommendation
IJCAI 2020
Contextualized Weak Supervision for Text Classification
ACL 2020
Contextual Modulation for Relation-Level Metaphor Identification
EMNLP 2020
Contextual Text Style Transfer
EMNLP 2020
Continual Adaptation for Efficient Machine Communication
CoNLL 2020
Continual Deep Learning by Functional Regularisation of Memorable Past
NeurIPS 2020
Continual Learning for Domain Adaptation in Chest X-ray Classification
MIDL 2020
Continual Learning for Multi-Dialect Acoustic Models
Interspeech 2020
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems
EMNLP 2020
Continual Learning in Automatic Speech Recognition
Interspeech 2020