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)
MoExtend: Tuning New Experts for Modality and Task Extension
ACL 2024
MOHO: Learning Single-view Hand-held Object Reconstruction with Multi-view Occlusion-Aware Supervision
CVPR 2024
MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence
ICML 2024
Mol2Lang-VLM: Vision- and Text-Guided Generative Pre-trained Language Models for Advancing Molecule Captioning through Multimodal Fusion
ACL 2024
Moleco: Molecular Contrastive Learning with Chemical Language Models for Molecular Property Prediction
EMNLP 2024
Molecule Design by Latent Prompt Transformer
NeurIPS 2024
MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts
NeurIPS 2024
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts
AAAI 2024
MolTC: Towards Molecular Relational Modeling In Language Models
ACL 2024
MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models
NeurIPS 2024
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
NeurIPS 2024
MoML: Online Meta Adaptation for 3D Human Motion Prediction
CVPR 2024
Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models
CVPR 2024
MonkeySee: Space-time-resolved reconstructions of natural images from macaque multi-unit activity
NeurIPS 2024
MoNMT: Modularly Leveraging Monolingual and Bilingual Knowledge for Neural Machine Translation
COLING 2024
Monocular Identity-Conditioned Facial Reflectance Reconstruction
CVPR 2024
Monomial Matrix Group Equivariant Neural Functional Networks
NeurIPS 2024
MonoProb: Self-Supervised Monocular Depth Estimation With Interpretable Uncertainty
WACV 2024
Monotonic Paraphrasing Improves Generalization of Language Model Prompting
EMNLP 2024
Monotonic Representation of Numeric Attributes in Language Models
ACL 2024
More Bang for your Context: Virtual Documents for Question Answering over Long Documents
EMNLP 2024
More is Better: Deep Domain Adaptation with Multiple Sources
IJCAI 2024
More than Minorities and Majorities: Understanding Multilateral Bias in Language Generation
ACL 2024
MoReVQA: Exploring Modular Reasoning Models for Video Question Answering
CVPR 2024
MORPHEUS: Modeling Role from Personalized Dialogue History by Exploring and Utilizing Latent Space
EMNLP 2024