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)
Unsupervised Perceptual Rewards for Imitation Learning
RSS 2017
Unsupervised Pixel-Level Domain Adaptation With Generative Adversarial Networks
CVPR 2017
Unsupervised Pretraining for Sequence to Sequence Learning
EMNLP 2017
Unsupervised Representation Learning Using Convolutional Restricted Boltzmann Machine for Spoof Speech Detection
Interspeech 2017
Unsupervised Segmentation of Phoneme Sequences based on Pitman-Yor Semi-Markov Model using Phoneme Length Context
IJCNLP 2017
Unsupervised Semantic Scene Labeling for Streaming Data
CVPR 2017
Unsupervised Sequence Classification using Sequential Output Statistics
NeurIPS 2017
Unsupervised Sequential Sensor Acquisition
AISTATS 2017
Unsupervised Speech Signal to Symbol Transformation for Zero Resource Speech Applications
Interspeech 2017
Unsupervised Text Segmentation Based on Native Language Characteristics
ACL 2017
Unsupervised Training for Large Vocabulary Translation Using Sparse Lexicon and Word Classes
EACL 2017
Unsupervised Transformation Learning via Convex Relaxations
NeurIPS 2017
Unsupervised Vanishing Point Detection and Camera Calibration From a Single Manhattan Image With Radial Distortion
CVPR 2017
Unsupervised Video Summarization With Adversarial LSTM Networks
CVPR 2017
Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos
CVPR 2017
UntrimmedNets for Weakly Supervised Action Recognition and Detection
CVPR 2017
UPC-USMBA at SemEval-2017 Task 3: Combining multiple approaches for CQA for Arabic
SemEval 2017
Using Argument-based Features to Predict and Analyse Review Helpfulness
EMNLP 2017
Using Deep Neural Networks to Automate Large Scale Statistical Analysis for Big Data Applications
ACML 2017
Using Explicit Discourse Connectives in Translation for Implicit Discourse Relation Classification
IJCNLP 2017
Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning
IJCAI 2017
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
EMNLP 2017
Using Options and Covariance Testing for Long Horizon Off-Policy Policy Evaluation
NeurIPS 2017
Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning
EMNLP 2017
Using Twitter Language to Predict the Real Estate Market
EACL 2017