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)
On Trajectory Augmentations for Off-Policy Evaluation
ICLR 2024
On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning
AAAI 2024
Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance
CVPR 2024
OpenESS: Event-based Semantic Scene Understanding with Open Vocabularies
CVPR 2024
OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding
NeurIPS 2024
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
NeurIPS 2024
OpenOmni: A Collaborative Open Source Tool for Building Future-Ready Multimodal Conversational Agents
EMNLP 2024
Open Problem: Can Local Regularization Learn All Multiclass Problems?
COLT 2024
Open-RAG: Enhanced Retrieval Augmented Reasoning with Open-Source Large Language Models
EMNLP 2024
OpenSep: Leveraging Large Language Models with Textual Inversion for Open World Audio Separation
EMNLP 2024
Open-Set Domain Adaptation for Semantic Segmentation
CVPR 2024
Open-Vocabulary 3D Semantic Segmentation with Foundation Models
CVPR 2024
Open-Vocabulary Calibration for Fine-tuned CLIP
ICML 2024
Open-Vocabulary Segmentation with Semantic-Assisted Calibration
CVPR 2024
Open Vocabulary Semantic Scene Sketch Understanding
CVPR 2024
Open-Vocabulary Video Anomaly Detection
CVPR 2024
Open-Vocabulary Video Relation Extraction
AAAI 2024
Open-World Human-Object Interaction Detection via Multi-modal Prompts
CVPR 2024
Open-world Multi-label Text Classification with Extremely Weak Supervision
EMNLP 2024
Open-World Semantic Segmentation Including Class Similarity
CVPR 2024
OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation
CVPR 2024
Opinion Unaware Image Quality Assessment via Adversarial Convolutional Variational Autoencoder
WACV 2024
Optical Flow Domain Adaptation via Target Style Transfer
WACV 2024
Optimal deep learning of holomorphic operators between Banach spaces
NeurIPS 2024
Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos
NeurIPS 2024