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)
MDFL: Multi-Domain Diffusion-Driven Feature Learning
AAAI 2024
MeaCap: Memory-Augmented Zero-shot Image Captioning
CVPR 2024
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL)
JMLR 2024
Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework
AAAI 2024
MEANT: Multimodal Encoder for Antecedent Information
EMNLP 2024
Measuring Dejavu Memorization Efficiently
NeurIPS 2024
Measuring Per-Unit Interpretability at Scale Without Humans
NeurIPS 2024
MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning
EMNLP 2024
MedCare: Advancing Medical LLMs through Decoupling Clinical Alignment and Knowledge Aggregation
EMNLP 2024
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
NeurIPS 2024
Medical Vision-Language Pre-Training for Brain Abnormalities
COLING 2024
Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion
EMNLP 2024
MedM2G: Unifying Medical Multi-Modal Generation via Cross-Guided Diffusion with Visual Invariant
CVPR 2024
Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning
NeurIPS 2024
MeLFusion: Synthesizing Music from Image and Language Cues using Diffusion Models
CVPR 2024
MELT: Materials-aware Continued Pre-training for Language Model Adaptation to Materials Science
EMNLP 2024
MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing
ACL 2024
Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks
UAI 2024
Memory-Augmenting Decoder-Only Language Models through Encoders (Student Abstract)
AAAI 2024
Memory-Efficient Fine-Tuning of Transformers via Token Selection
EMNLP 2024
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification
AAAI 2024
Memory-Scalable and Simplified Functional Map Learning
CVPR 2024
Merely Judging Metaphor is Not Enough: Research on Reasonable Metaphor Detection
EMNLP 2024
Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging
EMNLP 2024
MERLIN: Multimodal Embedding Refinement via LLM-based Iterative Navigation for Text-Video Retrieval-Rerank Pipeline
EMNLP 2024