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)
Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models
EMNLP 2024
Multi-Loss Fusion: Angular and Contrastive Integration for Machine-Generated Text Detection
EMNLP 2024
MultiLS: An End-to-End Lexical Simplification Framework
EMNLP 2024
MultiMax: Sparse and Multi-Modal Attention Learning
ICML 2024
MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language Models
MIDL 2024
Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference
EMNLP 2024
Multi-modal Concept Alignment Pre-training for Generative Medical Visual Question Answering
ACL 2024
Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media
AAAI 2024
Multi-Modal Disordered Representation Learning Network for Description-Based Person Search
AAAI 2024
Multimodal Ensembling for Zero-Shot Image Classification
AAAI 2024
Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network
AAAI 2024
Multi-Modal Gaze Following in Conversational Scenarios
WACV 2024
Multimodal Graph Neural Architecture Search under Distribution Shifts
AAAI 2024
Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizer
CVPR 2024
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping
CVPR 2024
Multimodal Instruction Tuning with Conditional Mixture of LoRA
ACL 2024
Multi-Modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation
AAAI 2024
Multimodal Language Models Show Evidence of Embodied Simulation
COLING 2024
Multimodal Large Language Models Make Text-to-Image Generative Models Align Better
NeurIPS 2024
Multi-Modal Latent Space Learning for Chain-of-Thought Reasoning in Language Models
AAAI 2024
Multi-modal Learning for Geospatial Vegetation Forecasting
CVPR 2024
Multi-modal Preference Alignment Remedies Degradation of Visual Instruction Tuning on Language Models
ACL 2024
Multi-Modal Prompting for Open-Vocabulary Video Visual Relationship Detection
AAAI 2024
Multimodal Prompt Perceiver: Empower Adaptiveness Generalizability and Fidelity for All-in-One Image Restoration
CVPR 2024
Multi-Modal Retrieval For Large Language Model Based Speech Recognition
ACL 2024