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)
Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion
AAAI 2025
MKD: Multi-Knowledge Distillation for Real-Time Object Detection on Edge Devices
ACML 2025
MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network
AAAI 2025
MLAN: Language-Based Instruction Tuning Preserves and Transfers Knowledge in Multimodal Language Models
ACL 2025
MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse
AAAI 2025
ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection
AAAI 2025
MLLM-as-a-Judge for Image Safety without Human Labeling
CVPR 2025
M-LLM Based Video Frame Selection for Efficient Video Understanding
CVPR 2025
MMA: Cross-Domain Knowledge Integration via Mixture of Multi-Domain Agents
EMNLP 2025
M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation Evaluation
ACL 2025
MMAG: Multimodal Learning for Mucus Anomaly Grading in Nasal Endoscopy via Semantic Attribute Prompting
EMNLP 2025
MMDocIR: Benchmarking Multimodal Retrieval for Long Documents
EMNLP 2025
MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization
ICML 2025
mmFAS: Multimodal Face Anti-Spoofing Using Multi-Level Alignment and Switch-Attention Fusion
AAAI 2025
MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation
AAAI 2025
MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlation
IJCAI 2025
MMLoRA: Multitask Memory Parameter-Efficient Fine-Tuning for Multimodal SER
Interspeech 2025
MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation
EMNLP 2025
MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding
AAAI 2025
MMS-LLaMA: Efficient LLM-based Audio-Visual Speech Recognition with Minimal Multimodal Speech Tokens
ACL 2025
MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception
CVPR 2025
MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models
ACL 2025
MM-Verify: Enhancing Multimodal Reasoning with Chain-of-Thought Verification
ACL 2025
“Mm, Wat?” Detecting Other-initiated Repair Requests in Dialogue
EMNLP 2025
MobileViCLIP: An Efficient Video-Text Model for Mobile Devices
ICCV 2025