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)
Masking the Unknown: Leveraging Masked Samples for Enhanced Data Augmentation
UAI 2024
MaskINT: Video Editing via Interpolative Non-autoregressive Masked Transformers
CVPR 2024
MasonTigers@LT-EDI-2024: An Ensemble Approach Towards Detecting Homophobia and Transphobia in Social Media Comments
EACL 2024
Mastering Context-to-Label Representation Transformation for Event Causality Identification with Diffusion Models
AAAI 2024
Mastering Memory Tasks with World Models
ICLR 2024
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
ICML 2024
MatchDet: A Collaborative Framework for Image Matching and Object Detection
AAAI 2024
Matching Anything by Segmenting Anything
CVPR 2024
Match More, Extract Better! Hybrid Matching Model for Open Domain Web Keyphrase Extraction
ACL 2024
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models
EMNLP 2024
Matrix Information Theory for Self-Supervised Learning
ICML 2024
MatrixNet: Learning over symmetry groups using learned group representations
NeurIPS 2024
MAVEN-FACT: A Large-scale Event Factuality Detection Dataset
EMNLP 2024
MaxEnt Loss: Calibrating Graph Neural Networks under Out-of-Distribution Shift (Student Abstract)
AAAI 2024
Maximum entropy GFlowNets with soft Q-learning
AISTATS 2024
Maximum Knowledge Orthogonality Reconstruction With Gradients in Federated Learning
WACV 2024
Mayfly: a Neural Data Structure for Graph Stream Summarization
ICLR 2024
M-BEV: Masked BEV Perception for Robust Autonomous Driving
AAAI 2024
MBIAS: Mitigating Bias in Large Language Models While Retaining Context
ACL 2024
McCrolin: Multi-consistency Cross-lingual Training for Retrieval Question Answering
EMNLP 2024
MCIL: Multimodal Counterfactual Instance Learning for Low-resource Entity-based Multimodal Information Extraction
COLING 2024
MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning
AAAI 2024
MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation
CVPR 2024
mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language Models
ACL 2024
MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes
CVPR 2024