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)
Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations
NeurIPS 2024
Neural Persistence Dynamics
NeurIPS 2024
Neural Physical Simulation with Multi-Resolution Hash Grid Encoding
AAAI 2024
Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses
NeurIPS 2024
Neural Redshift: Random Networks are not Random Functions
CVPR 2024
Neural Refinement for Absolute Pose Regression with Feature Synthesis
CVPR 2024
NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks
NeurIPS 2024
Neural Style Protection: Counteracting Unauthorized Neural Style Transfer
WACV 2024
NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping
NeurIPS 2024
NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation
NeurIPS 2024
NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views
AAAI 2024
Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional Training
ACL 2024
NextLevelBERT: Masked Language Modeling with Higher-Level Representations for Long Documents
ACL 2024
N-gram Unsupervised Compoundation and Feature Injection for Better Symbolic Music Understanding
AAAI 2024
NICE: Neurogenesis Inspired Contextual Encoding for Replay-free Class Incremental Learning
CVPR 2024
nlp_enjoyers at TextGraphs-17 Shared Task: Text-Graph Representations for Knowledge Graph Question Answering using all-MPNet
ACL 2024
No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages
EMNLP 2024
No Head Left Behind – Multi-Head Alignment Distillation for Transformers
AAAI 2024
Noise-Aware Image Captioning with Progressively Exploring Mismatched Words
AAAI 2024
NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models
CVPR 2024
Noise-Free Optimization in Early Training Steps for Image Super-resolution
AAAI 2024
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation
AAAI 2024
Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods
NeurIPS 2024
No More Shortcuts: Realizing the Potential of Temporal Self-Supervision
AAAI 2024
Non-autoregressive Sequence-to-Sequence Vision-Language Models
CVPR 2024