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)
Multi-Task Learning for Mispronunciation Detection on Singapore Children’s Mandarin Speech
Interspeech 2017
Multi-Task Learning for Prosodic Structure Generation Using BLSTM RNN with Structured Output Layer
Interspeech 2017
Multi-Task Learning for Speaker-Role Adaptation in Neural Conversation Models
IJCNLP 2017
Multi-Task Learning of Keyphrase Boundary Classification
ACL 2017
Multitask Learning with CTC and Segmental CRF for Speech Recognition
Interspeech 2017
Multi-task Learning with Labeled and Unlabeled Tasks
ICML 2017
Multitask Learning with Low-Level Auxiliary Tasks for Encoder-Decoder Based Speech Recognition
Interspeech 2017
Multitask Spectral Learning of Weighted Automata
NeurIPS 2017
Multi-Task Structured Prediction for Entity Analysis: Search-Based Learning Algorithms
ACML 2017
Multi-Task Video Captioning with Video and Entailment Generation
ACL 2017
Multi-view Clustering with Adaptively Learned Graph
ACML 2017
Multi-View Decision Processes: The Helper-AI Problem
NeurIPS 2017
Multi-view Feature Learning with Discriminative Regularization
IJCAI 2017
Multi-View Supervision for Single-View Reconstruction via Differentiable Ray Consistency
CVPR 2017
Multi-View Unsupervised User Feature Embedding for Social Media-based Substance Use Prediction
EMNLP 2017
MUSE: Modularizing Unsupervised Sense Embeddings
EMNLP 2017
Mutual Alignment Transfer Learning
CoRL 2017
Naturalizing a Programming Language via Interactive Learning
ACL 2017
Natural Language Does Not Emerge ‘Naturally’ in Multi-Agent Dialog
EMNLP 2017
Natural Value Approximators: Learning when to Trust Past Estimates
NeurIPS 2017
Nearly Instance Optimal Sample Complexity Bounds for Top-k Arm Selection
AISTATS 2017
Near Minimax Optimal Players for the Finite-Time 3-Expert Prediction Problem
NeurIPS 2017
Near-optimal Bayesian Active Learning with Correlated and Noisy Tests
AISTATS 2017
Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs
NeurIPS 2017
Neural Architectures for Fine-grained Entity Type Classification
EACL 2017