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)
Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium
COLT 2020
Learn with Noisy Data via Unsupervised Loss Correction for Weakly Supervised Reading Comprehension
COLING 2020
Least General Generalizations in Description Logic: Verification and Existence
AAAI 2020
Less is Better: A cognitively inspired unsupervised model for language segmentation
COLING 2020
Less Is Better: Unweighted Data Subsampling via Influence Function
AAAI 2020
Less is More: Attention Supervision with Counterfactuals for Text Classification
EMNLP 2020
Let’s Stop Incorrect Comparisons in End-to-end Relation Extraction!
EMNLP 2020
Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection
EMNLP 2020
Leveraging Document-Level Label Consistency for Named Entity Recognition
IJCAI 2020
Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation
ACL 2020
Leveraging Multi-Token Entities in Document-Level Named Entity Recognition
AAAI 2020
Leveraging Multi-View Image Sets for Unsupervised Intrinsic Image Decomposition and Highlight Separation
AAAI 2020
Leveraging Photometric Consistency Over Time for Sparsely Supervised Hand-Object Reconstruction
CVPR 2020
Leveraging Pretrained Image Classifiers for Language-Based Segmentation
WACV 2020
Leveraging Unlabeled Speech for Sequence Discriminative Training of Acoustic Models
Interspeech 2020
LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks
CVPR 2020
LGML: Logic Guided Machine Learning (Student Abstract)
AAAI 2020
Lifelong Language Knowledge Distillation
EMNLP 2020
Lifelong Learning with a Changing Action Set
AAAI 2020
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting
NeurIPS 2020
Lifelong Spectral Clustering
AAAI 2020
Lifelong Zero-Shot Learning
IJCAI 2020
Lightweight 3D Human Pose Estimation Network Training Using Teacher-Student Learning
WACV 2020
Lightweight and Robust Representation of Economic Scales from Satellite Imagery
AAAI 2020
Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation
CVPR 2020