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)
MapExpert: Online HD Map Construction with Simple and Efficient Sparse Map Element Expert
AAAI 2025
MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale
AAAI 2025
MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation
ACL 2025
MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation
ICLR 2025
Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models
AAAI 2025
Mapping Smarter, Not Harder: A Test-Time Reinforcement Learning Agent That Improve Without Labels or Model Updates
EMNLP 2025
MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment
ACL 2025
Marcel: A Lightweight and Open-Source Conversational Agent for University Student Support
EMNLP 2025
Marco Large Translation Model at WMT2025: Transforming Translation Capability in LLMs via Quality-Aware Training and Decoding
EMNLP 2025
MaRI: Material Retrieval Integration across Domains
CVPR 2025
MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis
AAAI 2025
Marten: Visual Question Answering with Mask Generation for Multi-modal Document Understanding
CVPR 2025
Mask-Adapter: The Devil is in the Masks for Open-Vocabulary Segmentation
CVPR 2025
MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-aware Temporal Masking
IJCAI 2025
Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling
ICLR 2025
Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis
AAAI 2025
Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding
CVPR 2025
Masking in Multi-hop QA: An Analysis of How Language Models Perform with Context Permutation
ACL 2025
Masking meets Supervision: A Strong Learning Alliance
CVPR 2025
MaskPrompt: Open-Vocabulary Affordance Segmentation with Object Shape Mask Prompts
AAAI 2025
MaskTwins: Dual-form Complementary Masking for Domain-Adaptive Image Segmentation
ICML 2025
Massively Multilingual Instruction-Following Information Extraction
ACL 2025
Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape LLM Alignment Quality
EMNLP 2025
Mastering Collaborative Multi-modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness
ICCV 2025
MASV: Speaker Verification with Global and Local Context Mamba
Interspeech 2025