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)
A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing
ACL 2020
A Programmatic and Semantic Approach to Explaining and Debugging Neural Network Based Object Detectors
CVPR 2020
A PTAS for the Bayesian Thresholding Bandit Problem
AISTATS 2020
A Quantile-based Approach for Hyperparameter Transfer Learning
ICML 2020
Arabic dialect identification: An Arabic-BERT model with data augmentation and ensembling strategy
COLING 2020
Arabic Dialect Identification Using BERT-Based Domain Adaptation
COLING 2020
Arabic Dialect Identification Using BERT Fine-Tuning
COLING 2020
Arabic Dialects Identification for All Arabic countries
COLING 2020
Arabisc: Context-Sensitive Neural Spelling Checker
AACL 2020
Are All Languages Created Equal in Multilingual BERT?
ACL 2020
A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks
ACL 2020
A Recurrent Model for Collective Entity Linking with Adaptive Features
AAAI 2020
A Re-evaluation of Knowledge Graph Completion Methods
ACL 2020
A Reinforced Generation of Adversarial Examples for Neural Machine Translation
ACL 2020
A Reinforcement Learning Approach to Strategic Belief Revelation with Social Influence
AAAI 2020
A Relaxed Matching Procedure for Unsupervised BLI
ACL 2020
Are Noisy Sentences Useless for Distant Supervised Relation Extraction?
AAAI 2020
A Report on the VarDial Evaluation Campaign 2020
COLING 2020
ARES: A Reading Comprehension Ensembling Service
EMNLP 2020
Are Some Words Worth More than Others?
EMNLP 2020
A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models
AAAI 2020
A Retrieve-and-Rewrite Initialization Method for Unsupervised Machine Translation
ACL 2020
Are we Estimating or Guesstimating Translation Quality?
ACL 2020
Argot: Generating Adversarial Readable Chinese Texts
IJCAI 2020
A Risk Communication Event Detection Model via Contrastive Learning
COLING 2020