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)
Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals
NeurIPS 2018
Multivariate Time Series Imputation with Generative Adversarial Networks
NeurIPS 2018
Multi-View Consistency as Supervisory Signal for Learning Shape and Pose Prediction
CVPR 2018
Multi-view Models for Political Ideology Detection of News Articles
EMNLP 2018
MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling
IJCAI 2018
Music Genre Recognition Using Deep Neural Networks and Transfer Learning
Interspeech 2018
NAG: Network for Adversary Generation
CVPR 2018
Named Entity Recognition for Hindi-English Code-Mixed Social Media Text
ACL 2018
Named Entity Recognition on Code-Switched Data: Overview of the CALCS 2018 Shared Task
ACL 2018
Named-Entity Tagging and Domain adaptation for Better Customized Translation
ACL 2018
Natural Language Inference with Definition Embedding Considering Context On the Fly
ACL 2018
Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes
NeurIPS 2018
Near-Optimal Machine Teaching via Explanatory Teaching Sets
AISTATS 2018
Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models
NeurIPS 2018
Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model
NeurIPS 2018
NetGAN: Generating Graphs via Random Walks
ICML 2018
Neural Adaptation Layers for Cross-domain Named Entity Recognition
EMNLP 2018
Neural Adversarial Training for Semi-supervised Japanese Predicate-argument Structure Analysis
ACL 2018
Neural Architecture Optimization
NeurIPS 2018
Neural Argument Generation Augmented with Externally Retrieved Evidence
ACL 2018
Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input
NAACL 2018
Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering
ACL 2018
Neural Dynamic Programming for Musical Self Similarity
ICML 2018
Neural Fine-Grained Entity Type Classification with Hierarchy-Aware Loss
NAACL 2018
Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples
ICLR 2018