Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
Mitigating Hallucinations in Large Vision-Language Models by Self-Injecting Hallucinations
EMNLP 2025
Mitigating Hallucinations in Multimodal Spatial Relations through Constraint-Aware Prompting
NAACL 2025
Mitigating Hallucinations in Vision-Language Models through Image-Guided Head Suppression
EMNLP 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 Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance
ICML 2025
Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention
CVPR 2025
Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations
EMNLP 2025
Mitigating Overfitting During Speech Foundation Model Fine-tuning: Applications to Dysarthric Speech Detection
Interspeech 2025
Mitigating Paraphrase Attacks on Machine-Text Detection via Paraphrase Inversion
ACL 2025
Mitigating Pervasive Modality Absence Through Multimodal Generalization and Refinement
AAAI 2025
Mitigating Subgroup Disparities in Multi-Label Speech Emotion Recognition: A Pseudo-Labeling and Unsupervised Learning Approach
Interspeech 2025
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent
EMNLP 2025
MixDiff: Mixing Natural and Synthetic Images for Robust Self-Supervised Representations
WACV 2025
Mixed-Curvature Multi-Modal Knowledge Graph Completion
AAAI 2025
MixerMDM: Learnable Composition of Human Motion Diffusion Models
CVPR 2025
Mixing Inference-time Experts for Enhancing LLM Reasoning
EMNLP 2025
Mixture-of-Attack-Experts with Class Regularization for Unified Physical-Digital Face Attack Detection
AAAI 2025
Mixture of Languages: Improved Multilingual Encoders Through Language Grouping
EMNLP 2025
Mixture of LoRA Experts for Continual Information Extraction with LLMs
EMNLP 2025
Mixture of LoRA Experts for Low-Resourced Multi-Accent Automatic Speech Recognition
Interspeech 2025
Mixture of Multimodal Adapters for Sentiment Analysis
NAACL 2025
Mixture-of-Scores: Robust Image-Text Data Valuation via Three Lines of Code
ICCV 2025
Mixture of Small and Large Models for Chinese Spelling Check
ACL 2025
Mixup Regularization: A Probabilistic Perspective
UAI 2025