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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'10
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'20
'25
Papers (including subtopics)
SHAS: Approaching optimal Segmentation for End-to-End Speech Translation
Interspeech 2022
Shedding New Light on the Language of the Dark Web
NAACL 2022
SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher
ACL 2022
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
CVPR 2022
Shoring up the foundations: fusing model embeddings and weak supervision
UAI 2022
Short-Term Plasticity Neurons Learning to Learn and Forget
ICML 2022
Should I Run Offline Reinforcement Learning or Behavioral Cloning?
ICLR 2022
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis
NAACL 2022
Show, Don’t Tell: Demonstrations Outperform Descriptions for Schema-Guided Task-Oriented Dialogue
NAACL 2022
Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters
ICML 2022
Shrub Ensembles for Online Classification
AAAI 2022
Shuffle Private Linear Contextual Bandits
ICML 2022
Siamese BERT-Based Model for Web Search Relevance Ranking Evaluated on a New Czech Dataset
AAAI 2022
Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning
CVPR 2022
SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-trained Siamese Transformers
AAAI 2022
Sibylvariant Transformations for Robust Text Classification
ACL 2022
Sim2Real Object-Centric Keypoint Detection and Description
AAAI 2022
SimAN: Exploring Self-Supervised Representation Learning of Scene Text via Similarity-Aware Normalization
CVPR 2022
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval
EMNLP 2022
SimCTC: A Simple Contrast Learning Method of Text Clustering (Student Abstract)
AAAI 2022
Similarity Search for Efficient Active Learning and Search of Rare Concepts
AAAI 2022
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations
AAAI 2022
SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models
ACL 2022
SimMatch: Semi-Supervised Learning With Similarity Matching
CVPR 2022
SimMC: Simple Masked Contrastive Learning of Skeleton Representations for Unsupervised Person Re-Identification
IJCAI 2022