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)
MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities
AAAI 2024
Message Passing on Semantic-Anchor-Graphs for Fine-grained Emotion Representation Learning and Classification
EMNLP 2024
MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models
NeurIPS 2024
Meta-Crafting: Improved Detection of Out-of-Distributed Texts via Crafting Metadata Space (Student Abstract)
AAAI 2024
Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration
NeurIPS 2024
MetaKP: On-Demand Keyphrase Generation
EMNLP 2024
Meta-Learned Kernel for Blind Super-Resolution Kernel Estimation
WACV 2024
Meta-Point Learning and Refining for Category-Agnostic Pose Estimation
CVPR 2024
MetaPro 2.0: Computational Metaphor Processing on the Effectiveness of Anomalous Language Modeling
ACL 2024
Meta-Reasoning: Semantics-Symbol Deconstruction for Large Language Models
ACL 2024
MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity
AAAI 2024
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
NeurIPS 2024
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
NeurIPS 2024
Methods for recovering conditional independence graphs (Abstract Reprint)
IJCAI 2024
Metric Learning from Limited Pairwise Preference Comparisons
UAI 2024
MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task
EMNLP 2024
MEVTR: A Multilingual Model Enhanced with Visual Text Representations
COLING 2024
MFP: Making Full Use of Probability Maps for Interactive Image Segmentation
CVPR 2024
MGCL: Multi-Granularity Clue Learning for Emotion-Cause Pair Extraction via Cross-Grained Knowledge Distillation
EMNLP 2024
MGMap: Mask-Guided Learning for Online Vectorized HD Map Construction
CVPR 2024
mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval
EMNLP 2024
MIBench: Evaluating Multimodal Large Language Models over Multiple Images
EMNLP 2024
MICap: A Unified Model for Identity-Aware Movie Descriptions
CVPR 2024
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment
AAAI 2024
Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games
NeurIPS 2024