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)
Non-convolutional graph neural networks.
NeurIPS 2024
Non-stationary Domain Generalization: Theory and Algorithm
UAI 2024
No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning
AAAI 2024
No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO
NeurIPS 2024
Not All Classes Stand on Same Embeddings: Calibrating a Semantic Distance with Metric Tensor
CVPR 2024
Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation
EMNLP 2024
Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers
CVPR 2024
Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-Distillation
CVPR 2024
Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment
EMNLP 2024
No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation
CVPR 2024
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations
NeurIPS 2024
Novel Class Discovery in Chest X-rays via Paired Images and Text
AAAI 2024
Novel View Synthesis with View-Dependent Effects from a Single Image
CVPR 2024
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
NeurIPS 2024
NU at WASSA 2024 Empathy and Personality Shared Task: Enhancing Personality Predictions with Knowledge Graphs; A Graphical Neural Network and LightGBM Ensemble Approach
ACL 2024
Nuclear Fusion Diamond Polishing Dataset
NeurIPS 2024
NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data
EMNLP 2024
NYCU-NLP at EXALT 2024: Assembling Large Language Models for Cross-Lingual Emotion and Trigger Detection
ACL 2024
O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation
ECCV 2024
Object Attribute Matters in Visual Question Answering
AAAI 2024
Object-Aware Adaptive-Positivity Learning for Audio-Visual Question Answering
AAAI 2024
Object Aware Contrastive Prior for Interactive Image Segmentation
WACV 2024
Object-Aware Domain Generalization for Object Detection
AAAI 2024
Object-Aware Query Perturbation for Cross-Modal Image-Text Retrieval
ECCV 2024
Object Recognition as Next Token Prediction
CVPR 2024