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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'20
'25
Papers (including subtopics)
MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning
ACL 2025
MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation
AAAI 2025
More Data or Better Data? A Critical Analysis of Data Selection and Synthesis for Mathematical Reasoning
EMNLP 2025
More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives
ACL 2025
MORE: Molecule Pretraining with Multi-Level Pretext Task
AAAI 2025
More Reliable Pseudo-labels, Better Performance: A Generalized Approach to Single Positive Multi-label Learning
ICCV 2025
More Than a Score: Probing the Impact of Prompt Specificity on LLM Code Generation
IJCNLP 2025
MoRoVoc: A Large Dataset for Geographical Variation Identification of the Spoken Romanian Language
EMNLP 2025
Morpheme Induction for Emergent Language
EMNLP 2025
Morphing Tokens Draw Strong Masked Image Models
ICLR 2025
MOSAIC at GENAI Detection Task 3 : Zero-Shot Detection Using an Ensemble of Models
COLING 2025
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
CVPR 2025
MOSCATO: Predicting Multiple Object State Change Through Actions
ICCV 2025
MoSEs: Uncertainty-Aware AI-Generated Text Detection via Mixture of Stylistics Experts with Conditional Thresholds
EMNLP 2025
MoSiC: Optimal-Transport Motion Trajectory for Dense Self-Supervised Learning
ICCV 2025
MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning
COLING 2025
MOS: Modeling Object-Scene Associations in Generalized Category Discovery
CVPR 2025
MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning
AAAI 2025
Motal: Unsupervised 3D Object Detection by Modality and Task-specific Knowledge Transfer
ICCV 2025
Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation
AAAI 2025
MotionClone: Training-Free Motion Cloning for Controllable Video Generation
ICLR 2025
MotionCraft: Crafting Whole-Body Motion with Plug-and-Play Multimodal Controls
AAAI 2025
MotionMap: Representing Multimodality in Human Pose Forecasting
CVPR 2025
Motion Prior Knowledge Learning with Homogeneous Language Descriptions for Moving Infrared Small Target Detection
AAAI 2025
MotionStone: Decoupled Motion Intensity Modulation with Diffusion Transformer for Image-to-Video Generation
CVPR 2025