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
'5
'10
'15
'20
'25
Papers (including subtopics)
Monte Carlo Tree Search based Space Transfer for Black Box Optimization
NeurIPS 2024
Monte Carlo Tree Search in the Presence of Transition Uncertainty
AAAI 2024
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning
WACV 2024
MoPE: Mixture of Prefix Experts for Zero-Shot Dialogue State Tracking
COLING 2024
Moral Foundations of Large Language Models
EMNLP 2024
Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learning
EACL 2024
More Discriminative Sentence Embeddings via Semantic Graph Smoothing
EACL 2024
More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages
EMNLP 2024
More Insightful Feedback for Tutoring: Enhancing Generation Mechanisms and Automatic Evaluation
EMNLP 2024
More is Better: Deep Domain Adaptation with Multiple Sources
IJCAI 2024
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs
EMNLP 2024
More than Just Statistical Recurrence: Human and Machine Unsupervised Learning of Māori Word Segmentation across Morphological Processes
NAACL 2024
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization
EMNLP 2024
MorphingMinds at SemEval-2024 Task 10: Emotion Recognition in Conversation in Hindi-English Code-Mixed Conversations
SemEval 2024
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology
CVPR 2024
Mosaic-SDF for 3D Generative Models
CVPR 2024
MoSAR: Monocular Semi-Supervised Model for Avatar Reconstruction using Differentiable Shading
CVPR 2024
MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer
NeurIPS 2024
Mothman at SemEval-2024 Task 9: An Iterative System for Chain-of-Thought Prompt Optimization
SemEval 2024
Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning
AAAI 2024
Motif: Intrinsic Motivation from Artificial Intelligence Feedback
ICLR 2024
Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking
CVPR 2024
Motion Blur Decomposition with Cross-shutter Guidance
CVPR 2024
MotionCraft: Physics-Based Zero-Shot Video Generation
NeurIPS 2024
MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators
AAAI 2024