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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'20
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Papers (including subtopics)
Exploiting Noisy Data in Distant Supervision Relation Classification
NAACL 2019
Exploiting Persona Information for Diverse Generation of Conversational Responses
IJCAI 2019
Exploiting Semi-Supervised Training Through a Dropout Regularization in End-to-End Speech Recognition
Interspeech 2019
Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets
AAAI 2019
Exploiting the Contagious Effect for Employee Turnover Prediction
AAAI 2019
Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection
AAAI 2019
Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs
NeurIPS 2019
Exploring k out of Top ρ Fraction of Arms in Stochastic Bandits
AISTATS 2019
Exploring Computational User Models for Agent Policy Summarization
IJCAI 2019
Exploring Deep Multimodal Fusion of Text and Photo for Hate Speech Classification
ACL 2019
Exploring Diverse Expressions for Paraphrase Generation
EMNLP 2019
Exploring Methods for the Automatic Detection of Errors in Manual Transcription
Interspeech 2019
Exploring Object Relation in Mean Teacher for Cross-Domain Detection
CVPR 2019
Exploring the Landscape of Spatial Robustness
ICML 2019
Exploring Transfer Learning and Domain Data Selection for the Biomedical Translation
ACL 2019
Exponential Family Estimation via Adversarial Dynamics Embedding
NeurIPS 2019
Extending Event Detection to New Types with Learning from Keywords
EMNLP 2019
Extensible Cross-Modal Hashing
IJCAI 2019
Extract and Aggregate: A Novel Domain-Independent Approach to Factual Data Verification
EMNLP 2019
Extracting relations between outcomes and significance levels in Randomized Controlled Trials (RCTs) publications
ACL 2019
Extractive NarrativeQA with Heuristic Pre-Training
EMNLP 2019
Extract, Transform and Filling: A Pipeline Model for Question Paraphrasing based on Template
EMNLP 2019
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations
ICML 2019
Extreme Multi-Label Legal Text Classification: A Case Study in EU Legislation
NAACL 2019
Facebook AI’s WAT19 Myanmar-English Translation Task Submission
EMNLP 2019