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)
POST: POlicy-Based Switch Tracking
AAAI 2020
Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development
AAAI 2020
PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction
EMNLP 2020
Practical Federated Gradient Boosting Decision Trees
AAAI 2020
Practical No-box Adversarial Attacks against DNNs
NeurIPS 2020
Precise Tradeoffs in Adversarial Training for Linear Regression
COLT 2020
PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition
CVPR 2020
Predicting and Using Target Length in Neural Machine Translation
AACL 2020
Predicting Choice with Set-Dependent Aggregation
ICML 2020
Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers
CVPR 2020
Predicting Depression in Screening Interviews from Latent Categorization of Interview Prompts
ACL 2020
Predicting Detection Filters for Small Footprint Open-Vocabulary Keyword Spotting
Interspeech 2020
Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning
CVPR 2020
Predicting independent living outcomes from written reports of social workers
EMNLP 2020
Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution
CVPR 2020
Predicting Opioid Overdose Crude Rates with Text-Based Twitter Features (Student Abstract)
AAAI 2020
Predicting Performance for Natural Language Processing Tasks
ACL 2020
Predicting Propositional Satisfiability via End-to-End Learning
AAAI 2020
Predicting the Difficulty and Response Time of Multiple Choice Questions Using Transfer Learning
ACL 2020
Predicting the Topical Stance and Political Leaning of Media using Tweets
ACL 2020
Predicting Typological Features in WALS using Language Embeddings and Conditional Probabilities: ÚFAL Submission to the SIGTYP 2020 Shared Task
EMNLP 2020
Prediction Focused Topic Models via Feature Selection
AISTATS 2020
Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
ICML 2020
Prediction of Sleepiness Ratings from Voice by Man and Machine
Interspeech 2020
Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks
ICLR 2020