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
'5
'10
'15
'20
'25
Papers (including subtopics)
Overcoming Catastrophic Forgetting by Incremental Moment Matching
NeurIPS 2017
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space
ICML 2017
Parallel-Data-Free Many-to-Many Voice Conversion Based on DNN Integrated with Eigenspace Using a Non-Parallel Speech Corpus
Interspeech 2017
Parallel Symmetric Class Expression Learning
JMLR 2017
Parameter-Free Online Learning via Model Selection
NeurIPS 2017
Parametric Simplex Method for Sparse Learning
NeurIPS 2017
ParlAI: A Dialog Research Software Platform
EMNLP 2017
Parser Adaptation for Social Media by Integrating Normalization
ACL 2017
Parseval Networks: Improving Robustness to Adversarial Examples
ICML 2017
Parsing Universal Dependencies without training
EACL 2017
Part-of-Speech Tagging for Twitter with Adversarial Neural Networks
EMNLP 2017
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference
NeurIPS 2017
Perception of Non-Contrastive Variations in American English by Japanese Learners: Flaps are Less Favored Than Stops
Interspeech 2017
Perishability of Data: Dynamic Pricing under Varying-Coefficient Models
JMLR 2017
Permutation-based Causal Inference Algorithms with Interventions
NeurIPS 2017
Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks
CVPR 2017
Pessimistic Leader-Follower Equilibria with Multiple Followers
IJCAI 2017
Phonological Feature Based Mispronunciation Detection and Diagnosis Using Multi-Task DNNs and Active Learning
Interspeech 2017
PixelGAN Autoencoders
NeurIPS 2017
Player Movement Models for Video Game Level Generation
IJCAI 2017
Playing Repeated Network Interdiction Games with Semi-Bandit Feedback
IJCAI 2017
Pocket Knowledge Base Population
ACL 2017
Poisson Random Fields for Dynamic Feature Models
JMLR 2017
Policy Gradient With Value Function Approximation For Collective Multiagent Planning
NeurIPS 2017
Polynomial time algorithms for dual volume sampling
NeurIPS 2017