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)
MUCS@LT-EDI-2024: Exploring Joint Representation for Memes Classification
EACL 2024
Mudslide: A Universal Nuclear Instance Segmentation Method
CVPR 2024
Muharaf: Manuscripts of Handwritten Arabic Dataset for Cursive Text Recognition
NeurIPS 2024
MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate
EMNLP 2024
Multi-agent Collaborative Perception via Motion-aware Robust Communication Network
CVPR 2024
Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset
CVPR 2024
Multi-Attribute Interactions Matter for 3D Visual Grounding
CVPR 2024
Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation
AAAI 2024
Multi-Cross Sampling and Frequency-Division Reconstruction for Image Compressed Sensing
AAAI 2024
Multi-Domain Incremental Learning for Face Presentation Attack Detection
AAAI 2024
Multi-Domain Multi-Scale Diffusion Model for Low-Light Image Enhancement
AAAI 2024
Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition
AAAI 2024
Multi-Expert Distillation for Few-Shot Coordination (Student Abstract)
AAAI 2024
Multi-Head Mixture-of-Experts
NeurIPS 2024
Multi-label Sequential Sentence Classification via Large Language Model
EMNLP 2024
Multi-Label Supervised Contrastive Learning
AAAI 2024
Multi-Level Cross-Modal Alignment for Image Clustering
AAAI 2024
Multi-Level Cross-Modal Alignment for Speech Relation Extraction
EMNLP 2024
Multi-level Disentangling Network for Cross-Subject Emotion Recognition Based on Multimodal Physiological Signals
IJCAI 2024
Multi-Level Information Retrieval Augmented Generation for Knowledge-based Visual Question Answering
EMNLP 2024
Multi-level Relational Learning with Synergistic Graphs for Multivariate Time Series Forecasting
ACML 2024
Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization
NeurIPS 2024
Multilingual Contrastive Decoding via Language-Agnostic Layers Skipping
EMNLP 2024
Multilingual Diversity Improves Vision-Language Representations
NeurIPS 2024
Multilingual Synopses of Movie Narratives: A Dataset for Vision-Language Story Understanding
EMNLP 2024