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)
Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography
ICML 2019
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning
ICLR 2019
Discriminator optimal transport
NeurIPS 2019
Discriminator Rejection Sampling
ICLR 2019
Disentangled behavioural representations
NeurIPS 2019
Disentangled Representation Learning for Non-Parallel Text Style Transfer
ACL 2019
Disentangling Adversarial Robustness and Generalization
CVPR 2019
Disentangling Style Factors from Speaker Representations
Interspeech 2019
Disjoint Label Space Transfer Learning with Common Factorised Space
AAAI 2019
Dispatching Through Pricing: Modeling Ride-Sharing and Designing Dynamic Prices
IJCAI 2019
Dissimilarity Coefficient Based Weakly Supervised Object Detection
CVPR 2019
Distant Learning for Entity Linking with Automatic Noise Detection
ACL 2019
Distantly Supervised Biomedical Knowledge Acquisition via Knowledge Graph Based Attention
NAACL 2019
Distantly Supervised Entity Relation Extraction with Adapted Manual Annotations
AAAI 2019
Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning
ACL 2019
Distant Supervised Relation Extraction with Separate Head-Tail CNN
EMNLP 2019
Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding
AAAI 2019
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs
CVPR 2019
Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning
ACL 2019
Distilling Translations with Visual Awareness
ACL 2019
Distill Knowledge From NRSfM for Weakly Supervised 3D Pose Learning
ICCV 2019
DistInit: Learning Video Representations Without a Single Labeled Video
ICCV 2019
Distributionally Adversarial Attack
AAAI 2019
Distributionally Robust Optimization and Generalization in Kernel Methods
NeurIPS 2019
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing
AAAI 2019