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)
Partially-supervised Mention Detection
COLING 2020
Partially Zero-shot Domain Adaptation from Incomplete Target Data with Missing Classes
WACV 2020
Partial Multi-Label Learning via Multi-Subspace Representation
IJCAI 2020
Partial Multi-Label Learning with Label Distribution
AAAI 2020
Partial Multi-Label Learning with Noisy Label Identification
AAAI 2020
Partial Optimal Tranport with applications on Positive-Unlabeled Learning
NeurIPS 2020
Particle Filter Recurrent Neural Networks
AAAI 2020
Partner Selection for the Emergence of Cooperation in Multi-Agent Systems Using Reinforcement Learning
AAAI 2020
PaStaNet: Toward Human Activity Knowledge Engine
CVPR 2020
PASTRIE: A Corpus of Prepositions Annotated with Supersense Tags in Reddit International English
COLING 2020
Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning
NeurIPS 2020
PatchVAE: Learning Local Latent Codes for Recognition
CVPR 2020
PATQUEST: Papago Translation Quality Estimation
EMNLP 2020
Pattern-Structure Diffusion for Multi-Task Learning
CVPR 2020
Pay Attention to Features, Transfer Learn Faster CNNs
ICLR 2020
Pay Your Trip for Traffic Congestion: Dynamic Pricing in Traffic-Aware Road Networks
AAAI 2020
Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates
ICML 2020
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
ICML 2020
Perceptual Quality Assessment of Smartphone Photography
CVPR 2020
Performance as a Constraint: An Improved Wisdom of Crowds Using Performance Regularization
IJCAI 2020
Periodic Q-Learning
L4DC 2020
Permutation Invariant Graph Generation via Score-Based Generative Modeling
AISTATS 2020
Personalized Early Stage Alzheimer’s Disease Detection: A Case Study of President Reagan’s Speeches
ACL 2020
Personalized PageRank with Syntagmatic Information for Multilingual Word Sense Disambiguation
ACL 2020
Personalized Prediction of Trust Links in Social Networks (Student Abstract)
AAAI 2020