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)
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning
NeurIPS 2019
Success Prediction on Crowdfunding with Multimodal Deep Learning
IJCAI 2019
SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT
CoNLL 2019
Summary Level Training of Sentence Rewriting for Abstractive Summarization
EMNLP 2019
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
NeurIPS 2019
Superset Technique for Approximate Recovery in One-Bit Compressed Sensing
NeurIPS 2019
Supervised and Unsupervised Machine Translation for Myanmar-English and Khmer-English
EMNLP 2019
Supervised Classifiers for Audio Impairments with Noisy Labels
Interspeech 2019
Supervised User Ranking in Signed Social Networks
AAAI 2019
Supervising Unsupervised Open Information Extraction Models
EMNLP 2019
Support and Invertibility in Domain-Invariant Representations
AISTATS 2019
Surf at MEDIQA 2019: Improving Performance of Natural Language Inference in the Clinical Domain by Adopting Pre-trained Language Model
ACL 2019
Surrogate Objectives for Batch Policy Optimization in One-step Decision Making
NeurIPS 2019
Surveys without Questions: A Reinforcement Learning Approach
AAAI 2019
Survey Talk: Modeling in Automatic Speech Recognition: Beyond Hidden Markov Models
Interspeech 2019
SVM-Based Deep Stacking Networks
AAAI 2019
Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning
AAAI 2019
Switch-LSTMs for Multi-Criteria Chinese Word Segmentation
AAAI 2019
SymantoResearch at SemEval-2019 Task 3: Combined Neural Models for Emotion Classification in Human-Chatbot Conversations
SemEval 2019
Symbolic Inductive Bias for Visually Grounded Learning of Spoken Language
ACL 2019
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning
ICCV 2019
Synchronously Generating Two Languages with Interactive Decoding
EMNLP 2019
SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion
ICCV 2019
SyntagNet: Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations
EMNLP 2019
Syntax-aware Multilingual Semantic Role Labeling
EMNLP 2019