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)
A Unified View of Multi-Label Performance Measures
ICML 2017
Autoencoder Regularized Network For Driving Style Representation Learning
IJCAI 2017
Automated Curriculum Learning for Neural Networks
ICML 2017
Automatically augmenting an emotion dataset improves classification using audio
EACL 2017
Automatically Labeled Data Generation for Large Scale Event Extraction
ACL 2017
Automatic Compositor Attribution in the First Folio of Shakespeare
ACL 2017
Automatic Discovery, Association Estimation and Learning of Semantic Attributes for a Thousand Categories
CVPR 2017
Automatic Labelling of Prosodic Prominence, Phrasing and Disfluencies in French Speech by Simulating the Perception of Naïve and Expert Listeners
Interspeech 2017
Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning
IJCAI 2017
Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA
JMLR 2017
Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning
ICML 2017
Avoiding Discrimination through Causal Reasoning
NeurIPS 2017
BabelDomains: Large-Scale Domain Labeling of Lexical Resources
EACL 2017
Backstitch: Counteracting Finite-Sample Bias via Negative Steps
Interspeech 2017
Balancing information exposure in social networks
NeurIPS 2017
Bandit Structured Prediction for Neural Sequence-to-Sequence Learning
ACL 2017
Bayesian GAN
NeurIPS 2017
Bayesian Modeling of Lexical Resources for Low-Resource Settings
ACL 2017
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model
NeurIPS 2017
Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation
ACL 2017
Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN
IJCAI 2017
Beyond Worst-case: A Probabilistic Analysis of Affine Policies in Dynamic Optimization
NeurIPS 2017
Bidirectional Modelling for Short Duration Language Identification
Interspeech 2017
Bidirectional Multirate Reconstruction for Temporal Modeling in Videos
CVPR 2017
Binary Linear Compression for Multi-label Classification
IJCAI 2017