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
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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)
Domain Adaptation of Neural Machine Translation by Lexicon Induction
ACL 2019
Domain Adaptation with BERT-based Domain Classification and Data Selection
EMNLP 2019
Domain Adaptive Dialog Generation via Meta Learning
ACL 2019
Domain Adaptive Text Style Transfer
EMNLP 2019
Domain Agnostic Learning with Disentangled Representations
ICML 2019
Domain-agnostic Question-Answering with Adversarial Training
EMNLP 2019
Domain Agnostic Real-Valued Specificity Prediction
AAAI 2019
Domain Generalization by Solving Jigsaw Puzzles
CVPR 2019
Domain-Symmetric Networks for Adversarial Domain Adaptation
CVPR 2019
Domes to Drones: Self-Supervised Active Triangulation for 3D Human Pose Reconstruction
NeurIPS 2019
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study
ACL 2019
Don’t Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja
EMNLP 2019
Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing
EMNLP 2019
Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
EMNLP 2019
Don’t Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference
ACL 2019
Doodle to Search: Practical Zero-Shot Sketch-Based Image Retrieval
CVPR 2019
Doris Martin at SemEval-2019 Task 4: Hyperpartisan News Detection with Generic Semi-supervised Features
SemEval 2019
Do Sentence Interactions Matter? Leveraging Sentence Level Representations for Fake News Classification
EMNLP 2019
"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors
CVPR 2019
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain
ACL 2019
Doubly-Robust Lasso Bandit
NeurIPS 2019
Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?
EMNLP 2019
DppNet: Approximating Determinantal Point Processes with Deep Networks
NeurIPS 2019
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation
ICCV 2019
Dr.Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations
ACL 2019