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)
Data driven semi-supervised learning
NeurIPS 2021
Data-Driven System Level Synthesis
L4DC 2021
Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective
NeurIPS 2021
Data-Efficient Language Shaped Few-shot Image Classification
EMNLP 2021
Data-Efficient Reinforcement Learning for Malaria Control
IJCAI 2021
Data-Free Model Extraction
CVPR 2021
Data-Free Universal Adversarial Perturbation and Black-Box Attack
ICCV 2021
Data Processing Matters: SRPH-Konvergen AI’s Machine Translation System for WMT’21
EMNLP 2021
DatasetGAN: Efficient Labeled Data Factory With Minimal Human Effort
CVPR 2021
Data-to-text Generation by Splicing Together Nearest Neighbors
EMNLP 2021
Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection
CVPR 2021
DATE: Detecting Anomalies in Text via Self-Supervision of Transformers
NAACL 2021
DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature Distributions
CVPR 2021
DB-GAN: Boosting Object Recognition Under Strong Lighting Conditions
WACV 2021
DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network
ICCV 2021
DCT-SNN: Using DCT To Distribute Spatial Information Over Time for Low-Latency Spiking Neural Networks
ICCV 2021
DDSAS: Dynamic and Differentiable Space-Architecture Search
ACML 2021
Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification
NeurIPS 2021
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems
AAAI 2021
De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention
ACL 2021
De-Biasing Neural Networks With Estimated Offset for Class Imbalanced Learning
WACV 2021
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation
AAAI 2021
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
NeurIPS 2021
Decentralized Learning in Online Queuing Systems
NeurIPS 2021
Decentralized multi-agent active search for sparse signals
UAI 2021