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
'15
'20
'25
Papers (including subtopics)
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
ICML 2023
Coco at SemEval-2023 Task 10: Explainable Detection of Online Sexism
SemEval 2023
CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Low Resource With Contrastive Learning
EMNLP 2023
CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation
NeurIPS 2023
CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning
CVPR 2023
Code4Struct: Code Generation for Few-Shot Event Structure Prediction
ACL 2023
CodeAnno: Extending WebAnno with Hierarchical Document Level Annotation and Automation
EACL 2023
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models
AAAI 2023
Code-Aware Cross-Program Transfer Hyperparameter Optimization
AAAI 2023
Code Execution with Pre-trained Language Models
ACL 2023
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
ICLR 2023
CodeNLP at SemEval-2023 Task 2: Data Augmentation for Named Entity Recognition by Combination of Sequence Generation Strategies
SemEval 2023
CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation
RSS 2023
Code-Switched Text Synthesis in Unseen Language Pairs
ACL 2023
CodeTransOcean: A Comprehensive Multilingual Benchmark for Code Translation
EMNLP 2023
CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis
ICML 2023
CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift
NeurIPS 2023
CoEdIT: Text Editing by Task-Specific Instruction Tuning
EMNLP 2023
Co-evolving data-driven and NLU-driven Synthesizers for Generating Code in Domain Growth and Data Scarcity
EMNLP 2023
COFFEE: A Contrastive Oracle-Free Framework for Event Extraction
ACL 2023
Cognitively Inspired Learning of Incremental Drifting Concepts
IJCAI 2023
Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency
EMNLP 2023
Coherent Probabilistic Forecasting of Temporal Hierarchies
AISTATS 2023
Coherent Soft Imitation Learning
NeurIPS 2023
COHESENTIA: A Novel Benchmark of Incremental versus Holistic Assessment of Coherence in Generated Texts
EMNLP 2023