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)
MobiZO: Enabling Efficient LLM Fine-Tuning at the Edge via Inference Engines
EMNLP 2025
Modalities Contribute Unequally: Enhancing Medical Multi-modal Learning through Adaptive Modality Token Re-balancing
ICML 2025
Modality-Agnostic Multimodal Emotion Recognition using a Contrastive Masked Autoencoder
Interspeech 2025
Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models
ACL 2025
Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-Based Semantic Segmentation
WACV 2025
Modality-Specific Speech Enhancement and Noise-Adaptive Fusion for Acoustic and Body-Conduction Microphone Framework
Interspeech 2025
Model as Loss: A Self-Consistent Training Paradigm
Interspeech 2025
Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds
ICLR 2025
ModelCitizens: Representing Community Voices in Online Safety
EMNLP 2025
ModelDiff: Symbolic Dynamic Programming for Model-Aware Policy Transfer in Deep Q-Learning
AAAI 2025
Model Evaluation in the Dark: Robust Classifier Metrics with Missing Labels
AISTATS 2025
Model Extrapolation Expedites Alignment
ACL 2025
Model Immunization from a Condition Number Perspective
ICML 2025
Modeling Background Knowledge with Frame Semantics for Fine-grained Sentiment Classification
ACL 2025
Modeling Complex Semantics Relation with Contrastively Fine-Tuned Relational Encoders
ACL 2025
Modeling Inter-Intra Heterogeneity for Graph Federated Learning
AAAI 2025
Modeling Thousands of Human Annotators for Generalizable Text-to-Image Person Re-identification
CVPR 2025
Model Merging for Knowledge Editing
ACL 2025
Model Performance-Guided Evaluation Data Selection for Effective Prompt Optimization
ACL 2025
Model Poisoning Attacks to Federated Learning via Multi-Round Consistency
CVPR 2025
Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws
ICML 2025
MODL: Multilearner Online Deep Learning
AISTATS 2025
Modular Sentence Encoders: Separating Language Specialization from Cross-Lingual Alignment
ACL 2025
MoEdit: On Learning Quantity Perception for Multi-object Image Editing
CVPR 2025
MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
CVPR 2025