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)
MuseCL: Predicting Urban Socioeconomic Indicators via Multi-Semantic Contrastive Learning
IJCAI 2024
Musical Phrase Segmentation via Grammatical Induction
IJCAI 2024
MusicFlow: Cascaded Flow Matching for Text Guided Music Generation
ICML 2024
MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering
NeurIPS 2024
Mutli-Armed Bandits with Network Interference
NeurIPS 2024
Mutual-Modality Adversarial Attack with Semantic Perturbation
AAAI 2024
MVP-Bench: Can Large Vision-Language Models Conduct Multi-level Visual Perception Like Humans?
EMNLP 2024
MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving
AAAI 2024
“My Answer is C”: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models
ACL 2024
My Science Tutor (MyST)–a Large Corpus of Children’s Conversational Speech
COLING 2024
MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling
ACL 2024
Named Entity Driven Zero-Shot Image Manipulation
CVPR 2024
Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives
EMNLP 2024
Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model
AAAI 2024
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
NeurIPS 2024
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries
ACL 2024
Natural Language Decomposition and Interpretation of Complex Utterances
IJCAI 2024
Natural Light Can Also Be Dangerous: Traffic Sign Misinterpretation Under Adversarial Natural Light Attacks
WACV 2024
NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers
ICLR 2024
Navigate Beyond Shortcuts: Debiased Learning Through the Lens of Neural Collapse
CVPR 2024
Navigating Continual Test-time Adaptation with Symbiosis Knowledge
IJCAI 2024
Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models
EMNLP 2024
Navigating Open Set Scenarios for Skeleton-Based Action Recognition
AAAI 2024
Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science
COLING 2024
Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes
AAAI 2024