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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'25
Papers (including subtopics)
Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications
L4DC 2025
MissionGNN: Hierarchical Multimodal GNN-Based Weakly Supervised Video Anomaly Recognition with Mission-Specific Knowledge Graph Generation
WACV 2025
Misspecified Q-Learning with Sparse Linear Function Approximation: Tight Bounds on Approximation Error
ICLR 2025
MissRAG: Addressing the Missing Modality Challenge in Multimodal Large Language Models
ICCV 2025
MistSense: Versatile Online Detection of Procedural and Execution Mistakes
ICCV 2025
Mitigate the Gap: Improving Cross-Modal Alignment in CLIP
ICLR 2025
Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning
EMNLP 2025
Mitigating Catastrophic Overfitting in Fast Adversarial Training via Label Information Elimination
ICCV 2025
Mitigating Confounding in Speech-Based Dementia Detection through Weight Masking
ACL 2025
Mitigating Demonstration Bias through Global Coevolutionary Reasoning
ACL 2025
Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement
AAAI 2025
Mitigating Forgetting in Continual Learning with Selective Gradient Projection
IJCNLP 2025
Mitigating Hallucinated Translations in Large Language Models with Hallucination-focused Preference Optimization
NAACL 2025
Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow
AAAI 2025
Mitigating Hallucinations in LM-Based TTS Models via Distribution Alignment Using GFlowNets
EMNLP 2025
Mitigating Hallucinations in Multimodal Spatial Relations through Constraint-Aware Prompting
NAACL 2025
Mitigating Interviewer Bias in Multimodal Depression Detection: An Approach with Adversarial Learning and Contextual Positional Encoding
EMNLP 2025
Mitigating Label Length Bias in Large Language Models
IJCNLP 2025
Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries
ICML 2025
Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering
ACL 2025
Mitigating Non-Representative Prototypes and Representation Bias in Few-Shot Continual Relation Extraction
ACL 2025
Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations
EMNLP 2025
Mitigating Object Hallucinations via Sentence-Level Early Intervention
ICCV 2025
Mitigating Out-of-Entity Errors in Named Entity Recognition: A Sentence-Level Strategy
COLING 2025
Mitigating Paraphrase Attacks on Machine-Text Detection via Paraphrase Inversion
ACL 2025