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)
Phrase2VecGLM: Neural generalized language model–based semantic tagging for complex query reformulation in medical IR
ACL 2018
Phrase-Based & Neural Unsupervised Machine Translation
EMNLP 2018
Phrase-based Unsupervised Machine Translation with Compositional Phrase Embeddings
EMNLP 2018
Picking Apart Story Salads
EMNLP 2018
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos
ICML 2018
Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling
CVPR 2018
PixelSNAIL: An Improved Autoregressive Generative Model
ICML 2018
Planning and Learning with Stochastic Action Sets
IJCAI 2018
PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training
IJCAI 2018
Playing hard exploration games by watching YouTube
NeurIPS 2018
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
NeurIPS 2018
Polarity and Intensity: the Two Aspects of Sentiment Analysis
ACL 2018
Policy and Value Transfer in Lifelong Reinforcement Learning
ICML 2018
Policy Evaluation and Optimization with Continuous Treatments
AISTATS 2018
Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing
ACL 2018
Policy Optimization as Wasserstein Gradient Flows
ICML 2018
Policy Optimization by Genetic Distillation
ICLR 2018
Policy Optimization via Importance Sampling
NeurIPS 2018
Policy Optimization with Demonstrations
ICML 2018
Policy Regret in Repeated Games
NeurIPS 2018
pomegranate: Fast and Flexible Probabilistic Modeling in Python
JMLR 2018
Pose-Guided Photorealistic Face Rotation
CVPR 2018
Positive and Unlabeled Learning for Detecting Software Functional Clones with Adversarial Training
IJCAI 2018
Positive and Unlabeled Learning via Loss Decomposition and Centroid Estimation
IJCAI 2018
Practical Block-Wise Neural Network Architecture Generation
CVPR 2018