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)
Know Thine Enemy: Adaptive Attacks on Misinformation Detection Using Reinforcement Learning
ACL 2024
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
EMNLP 2024
KnowVrDU: A Unified Knowledge-aware Prompt-Tuning Framework for Visually-rich Document Understanding
COLING 2024
Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning
CVPR 2024
KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis
NeurIPS 2024
KoCommonGEN v2: A Benchmark for Navigating Korean Commonsense Reasoning Challenges in Large Language Models
ACL 2024
KPConvX: Modernizing Kernel Point Convolution with Kernel Attention
CVPR 2024
k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text
ACL 2024
KTCN: Enhancing Open-World Object Detection with Knowledge Transfer and Class-Awareness Neutralization
IJCAI 2024
KUL@SMM4H2024: Optimizing Text Classification with Quality-Assured Augmentation Strategies
ACL 2024
Kuro Siwo: 33 billion m^2 under the water. A global multi-temporal satellite dataset for rapid flood mapping
NeurIPS 2024
L4D-Track: Language-to-4D Modeling Towards 6-DoF Tracking and Shape Reconstruction in 3D Point Cloud Stream
CVPR 2024
LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection
CVPR 2024
Label Attentive Distillation for GNN-Based Graph Classification
AAAI 2024
Label Confidence Weighted Learning for Target-level Sentence Simplification
EMNLP 2024
Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training
AAAI 2024
Label-Free Synthetic Pretraining of Object Detectors
WACV 2024
LabelPrompt: Effective prompt-based learning for relation classification
ACML 2024
Label Propagation for Zero-shot Classification with Vision-Language Models
CVPR 2024
Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks
AAAI 2024
Label Supervised Contrastive Learning for Imbalanced Text Classification in Euclidean and Hyperbolic Embedding Spaces
EACL 2024
Lacuna Language Learning: Leveraging RNNs for Ranked Text Completion in Digitized Coptic Manuscripts
ACL 2024
LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation
AAAI 2024
LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition
CVPR 2024
LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations
NeurIPS 2024