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)
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition
ICML 2024
MAFA: Managing False Negatives for Vision-Language Pre-training
CVPR 2024
MagiCapture: High-Resolution Multi-Concept Portrait Customization
AAAI 2024
MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions
ICML 2024
Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification
CVPR 2024
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization
NeurIPS 2024
MAIR: A Massive Benchmark for Evaluating Instructed Retrieval
EMNLP 2024
Make-A-Voice: Revisiting Voice Large Language Models as Scalable Multilingual and Multitask Learners
ACL 2024
Make Compound Sentences Simple to Analyze: Learning to Split Sentences for Aspect-based Sentiment Analysis
EMNLP 2024
Make Lossy Compression Meaningful for Low-Light Images
AAAI 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models
CVPR 2024
Make Pixels Dance: High-Dynamic Video Generation
CVPR 2024
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior
AAAI 2024
Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training
EMNLP 2024
Making AI Policies Transparent to Humans through Demonstrations
AAAI 2024
Making Harmful Behaviors Unlearnable for Large Language Models
ACL 2024
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding
CVPR 2024
MALT Powers Up Adversarial Attacks
NeurIPS 2024
MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space
NeurIPS 2024
MAmmoTH2: Scaling Instructions from the Web
NeurIPS 2024
Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification
AAAI 2024
Manifold Constraints for Imperceptible Adversarial Attacks on Point Clouds
AAAI 2024
ManiFPT: Defining and Analyzing Fingerprints of Generative Models
CVPR 2024
ManipLLM: Embodied Multimodal Large Language Model for Object-Centric Robotic Manipulation
CVPR 2024
MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
NeurIPS 2024