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)
3D Packing for Self-Supervised Monocular Depth Estimation
CVPR 2020
3D Self-Supervised Methods for Medical Imaging
NeurIPS 2020
3D semi-supervised learning with uncertainty-aware multi-view co-training
WACV 2020
3D Sketch-Aware Semantic Scene Completion via Semi-Supervised Structure Prior
CVPR 2020
3FabRec: Fast Few-Shot Face Alignment by Reconstruction
CVPR 2020
4D Visualization of Dynamic Events From Unconstrained Multi-View Videos
CVPR 2020
A 43 Language Multilingual Punctuation Prediction Neural Network Model
Interspeech 2020
AANet: Adaptive Aggregation Network for Efficient Stereo Matching
CVPR 2020
AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism
AAAI 2020
A Bandit Learning Algorithm and Applications to Auction Design
NeurIPS 2020
A Bayesian Approach for Estimating Causal Effects from Observational Data
AAAI 2020
A Benchmark for Systematic Generalization in Grounded Language Understanding
NeurIPS 2020
A Berry Picking Robot With A Hybrid Soft-Rigid Arm: Design and Task Space Control
RSS 2020
A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction
ACL 2020
A Bi-level Formulation for Label Noise Learning with Spectral Cluster Discovery
IJCAI 2020
A Biologically Plausible Neural Network for Slow Feature Analysis
NeurIPS 2020
A Brief History of Learning Symbolic Higher-Level Representations from Data (And a Curious Look Forward)
IJCAI 2020
ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs
AAAI 2020
Abstract Interpretation of Decision Tree Ensemble Classifiers
AAAI 2020
Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks
AAAI 2020
AbuseAnalyzer: Abuse Detection, Severity and Target Prediction for Gab Posts
COLING 2020
A Calculus for Stochastic Interventions:Causal Effect Identification and Surrogate Experiments
AAAI 2020
A Call for More Rigor in Unsupervised Cross-lingual Learning
ACL 2020
Accelerated Bayesian Optimisation through Weight-Prior Tuning
AISTATS 2020
Accelerating and Improving AlphaZero Using Population Based Training
AAAI 2020