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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'20
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Papers (including subtopics)
PacGAN: The power of two samples in generative adversarial networks
NeurIPS 2018
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
CVPR 2018
PAC-learning in the presence of adversaries
NeurIPS 2018
Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction
IJCAI 2018
Parallel Bayesian Network Structure Learning
ICML 2018
Parameter sharing between dependency parsers for related languages
EMNLP 2018
Paraphrase Detection on Noisy Subtitles in Six Languages
EMNLP 2018
Parser Training with Heterogeneous Treebanks
ACL 2018
Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning
NeurIPS 2018
Partially-Supervised Image Captioning
NeurIPS 2018
Partial Transfer Learning With Selective Adversarial Networks
CVPR 2018
Part of Speech Tagging in Luyia: A Bantu Macrolanguage
COLING 2018
Part-of-Speech Tagging on an Endangered Language: a Parallel Griko-Italian Resource
COLING 2018
Party Matters: Enhancing Legislative Embeddings with Author Attributes for Vote Prediction
ACL 2018
Path Consistency Learning in Tsallis Entropy Regularized MDPs
ICML 2018
Path-Level Network Transformation for Efficient Architecture Search
ICML 2018
Pathologies of Neural Models Make Interpretations Difficult
EMNLP 2018
PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation Projection
EMNLP 2018
People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting
CVPR 2018
Permutation Invariant Training of Generative Adversarial Network for Monaural Speech Separation
Interspeech 2018
Personalized Dynamics Models for Adaptive Assistive Navigation Systems
CoRL 2018
Personalized Microblog Sentiment Classification via Adversarial Cross-lingual Multi-task Learning
EMNLP 2018
Personalized Text Retrieval for Learners of Chinese as a Foreign Language
COLING 2018
Personalizing Lexical Simplification
COLING 2018
PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits
NeurIPS 2018