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)
NLITrans at SemEval-2018 Task 12: Transfer of Semantic Knowledge for Argument Comprehension
SemEval 2018
NLP Web Services for Resource-Scarce Languages
ACL 2018
Noise2Noise: Learning Image Restoration without Clean Data
ICML 2018
Noising and Denoising Natural Language: Diverse Backtranslation for Grammar Correction
NAACL 2018
Non-Adversarial Mapping with VAEs
NeurIPS 2018
Non-Adversarial Unsupervised Word Translation
EMNLP 2018
Non-delusional Q-learning and value-iteration
NeurIPS 2018
Non-linear motor control by local learning in spiking neural networks
ICML 2018
Nonlinear Weighted Finite Automata
AISTATS 2018
Nonoverlap-Promoting Variable Selection
ICML 2018
Nonparametric Density Estimation under Adversarial Losses
NeurIPS 2018
Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training
AISTATS 2018
Nonparametric Preference Completion
AISTATS 2018
Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information
ICML 2018
Nonparametric variable importance using an augmented neural network with multi-task learning
ICML 2018
Nonstochastic Bandits with Composite Anonymous Feedback
COLT 2018
Normal Bandits of Unknown Means and Variances
JMLR 2018
Normalized Cut Loss for Weakly-Supervised CNN Segmentation
CVPR 2018
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care
ICML 2018
Now You Shake Me: Towards Automatic 4D Cinema
CVPR 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
ICML 2018
Object Ordering with Bidirectional Matchings for Visual Reasoning
NAACL 2018
Object-oriented Neural Programming (OONP) for Document Understanding
ACL 2018
Occam's razor is insufficient to infer the preferences of irrational agents
NeurIPS 2018
Occluded Pedestrian Detection Through Guided Attention in CNNs
CVPR 2018