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)
See Say and Segment: Teaching LMMs to Overcome False Premises
CVPR 2024
Seg2Act: Global Context-aware Action Generation for Document Logical Structuring
EMNLP 2024
Segment and Caption Anything
CVPR 2024
Segment Any Change
NeurIPS 2024
Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation
EMNLP 2024
Segment beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation
AAAI 2024
Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations
NeurIPS 2024
SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction
ICLR 2024
SEIT: Structural Enhancement for Unsupervised Image Translation in Frequency Domain
AAAI 2024
Select and Augment: Enhanced Dense Retrieval Knowledge Graph Augmentation (Abstract Reprint)
AAAI 2024
Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability
EMNLP 2024
Selective and Orthogonal Feature Activation for Pedestrian Attribute Recognition
AAAI 2024
Selective Attention: Enhancing Transformer through Principled Context Control
NeurIPS 2024
Selective Generation for Controllable Language Models
NeurIPS 2024
Selectively Answering Visual Questions
ACL 2024
Selectively Informative Description can Reduce Undesired Embedding Entanglements in Text-to-Image Personalization
CVPR 2024
Selective-Stereo: Adaptive Frequency Information Selection for Stereo Matching
CVPR 2024
Selective Vision is the Challenge for Visual Reasoning: A Benchmark for Visual Argument Understanding
EMNLP 2024
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation
ACL 2024
Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations
EMNLP 2024
Self-Augmented In-Context Learning for Unsupervised Word Translation
ACL 2024
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection
NeurIPS 2024
Self-Calibrating Vicinal Risk Minimisation for Model Calibration
CVPR 2024
SelfCodeAlign: Self-Alignment for Code Generation
NeurIPS 2024
Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy
ACL 2024