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)
Multi-Task Learning using Dynamic Task Weighting for Conversational Question Answering
EMNLP 2020
Multi-Task Learning with Generative Adversarial Training for Multi-Passage Machine Reading Comprehension
AAAI 2020
Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization
ICML 2020
Multi-Task Neural Model for Agglutinative Language Translation
ACL 2020
Multi-Task Self-Supervised Learning for Disfluency Detection
AAAI 2020
Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level Annotation
COLING 2020
Multi-Task Siamese Neural Network for Improving Replay Attack Detection
Interspeech 2020
Multi-turn Response Selection using Dialogue Dependency Relations
EMNLP 2020
Multi-Type Resource Allocation with Partial Preferences
AAAI 2020
Multi-View Attribute Graph Convolution Networks for Clustering
IJCAI 2020
Multi-View Clustering in Latent Embedding Space
AAAI 2020
Multi-View Consistency for Relation Extraction via Mutual Information and Structure Prediction
AAAI 2020
Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation
CVPR 2020
Multiview Co-segmentation for Wide Baseline Images using Cross-view Supervision
WACV 2020
Multi-View Deep Attention Network for Reinforcement Learning (Student Abstract)
AAAI 2020
Multi-View Partial Multi-Label Learning with Graph-Based Disambiguation
AAAI 2020
Multiview Supervision By Registration
WACV 2020
Multi-Word Lexical Simplification
COLING 2020
MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking Baselines
ACL 2020
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering
EMNLP 2020
MuTual: A Dataset for Multi-Turn Dialogue Reasoning
ACL 2020
Mutual exclusivity as a challenge for deep neural networks
NeurIPS 2020
Mutual information deep regularization for semi-supervised segmentation
MIDL 2020
Mutual Information Estimation using LSH Sampling
IJCAI 2020
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification
ICLR 2020