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)
CYUT-III Team Chinese Grammatical Error Diagnosis System Report in NLPTEA-2018 CGED Shared Task
ACL 2018
DA-GAN: Instance-Level Image Translation by Deep Attention Generative Adversarial Networks
CVPR 2018
Data Collection for Dialogue System: A Startup Perspective
NAACL 2018
Data Distillation: Towards Omni-Supervised Learning
CVPR 2018
Data-Driven Measurement Models for Active Localization in Sparse Environments
RSS 2018
Data-driven Onboard Scheduling for an Autonomous Observation Satellite
IJCAI 2018
Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control
AISTATS 2018
Data Requirements, Selection and Augmentation for DNN-based Speech Synthesis from Crowdsourced Data
Interspeech 2018
Datasets of Slovene and Croatian Moderated News Comments
EMNLP 2018
DCFEE: A Document-level Chinese Financial Event Extraction System based on Automatically Labeled Training Data
ACL 2018
Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer
NAACL 2018
DebugSL: An Interactive Tool for Debugging Sentiment Lexicons
NAACL 2018
DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation
CVPR 2018
Decision Boundary Analysis of Adversarial Examples
ICLR 2018
Decision Conversations Decoded
NAACL 2018
Decision-Making Under Uncertainty in Multi-Agent and Multi-Robot Systems: Planning and Learning
IJCAI 2018
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning
EMNLP 2018
Deconfounded Lexicon Induction for Interpretable Social Science
NAACL 2018
Deconvolutional Time Series Regression: A Technique for Modeling Temporally Diffuse Effects
EMNLP 2018
Decoupling Strategy and Generation in Negotiation Dialogues
EMNLP 2018
Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing
EMNLP 2018
Deep Adversarial Metric Learning
CVPR 2018
Deep Adversarial Subspace Clustering
CVPR 2018
DeepAlignment: Unsupervised Ontology Matching with Refined Word Vectors
NAACL 2018
Deep Anomaly Detection Using Geometric Transformations
NeurIPS 2018