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)
Combining Sequence Distillation and Transfer Learning for Efficient Low-Resource Neural Machine Translation Models
EMNLP 2020
CoMic: Complementary Task Learning & Mimicry for Reusable Skills
ICML 2020
CoMIR: Contrastive Multimodal Image Representation for Registration
NeurIPS 2020
Commonsense Reasoning to Guide Deep Learning for Scene Understanding (Extended Abstract)
IJCAI 2020
Community-Centric Graph Convolutional Network for Unsupervised Community Detection
IJCAI 2020
Comparison between Voting Classifier and Deep Learning methods for Arabic Dialect Identification
COLING 2020
Comparison of Machine Learning Methods for Multi-label Classification of Nursing Education and Licensure Exam Questions
EMNLP 2020
Competing Bandits in Matching Markets
AISTATS 2020
CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning
ACL 2020
Complementary Auxiliary Classifiers for Label-Conditional Text Generation
AAAI 2020
Complete Bottom-Up Predicate Invention in Meta-Interpretive Learning
IJCAI 2020
Composed Variational Natural Language Generation for Few-shot Intents
EMNLP 2020
Composing Elementary Discourse Units in Abstractive Summarization
ACL 2020
Composing Good Shots by Exploiting Mutual Relations
CVPR 2020
Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion
CVPR 2020
Compositionality and Generalization In Emergent Languages
ACL 2020
Compositionality Decomposed: How do Neural Networks Generalise? (Extended Abstract)
IJCAI 2020
Compositional Phrase Alignment and Beyond
EMNLP 2020
Compositional Transfer in Hierarchical Reinforcement Learning
RSS 2020
Compositional Visual Generation with Energy Based Models
NeurIPS 2020
Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition
NeurIPS 2020
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection
NeurIPS 2020
Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning
ACL 2020
Compressing Pre-trained Language Models by Matrix Decomposition
AACL 2020
CompRess: Self-Supervised Learning by Compressing Representations
NeurIPS 2020