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)
Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models
UAI 2024
SheffieldVeraAI at SemEval-2024 Task 4: Prompting and fine-tuning a Large Vision-Language Model for Binary Classification of Persuasion Techniques in Memes
SemEval 2024
Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection
CoRL 2024
SHMT: Self-supervised Hierarchical Makeup Transfer via Latent Diffusion Models
NeurIPS 2024
SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations
AAAI 2024
Shortcuts Arising from Contrast: Towards Effective and Lightweight Clean-Label Attacks in Prompt-Based Learning
EMNLP 2024
Show and Guide: Instructional-Plan Grounded Vision and Language Model
EMNLP 2024
Siamese Learning with Joint Alignment and Regression for Weakly-Supervised Video Paragraph Grounding
CVPR 2024
SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning
ACL 2024
Sieve: Multimodal Dataset Pruning using Image Captioning Models
CVPR 2024
SignCLIP: Connecting Text and Sign Language by Contrastive Learning
EMNLP 2024
Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics
AAAI 2024
SignGraph: A Sign Sequence is Worth Graphs of Nodes
CVPR 2024
Sign Language Translation with Sentence Embedding Supervision
ACL 2024
Sign Rank Limitations for Inner Product Graph Decoders
ICML 2024
SIG: Speaker Identification in Literature via Prompt-Based Generation
AAAI 2024
SimDA: Simple Diffusion Adapter for Efficient Video Generation
CVPR 2024
SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection
AAAI 2024
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models
AAAI 2024
Similarity-Navigated Conformal Prediction for Graph Neural Networks
NeurIPS 2024
Simple and Fast Distillation of Diffusion Models
NeurIPS 2024
Simple but Effective Compound Geometric Operations for Temporal Knowledge Graph Completion
ACL 2024
Simple Contrastive Multi-View Clustering with Data-Level Fusion
IJCAI 2024
Simple Image-Level Classification Improves Open-Vocabulary Object Detection
AAAI 2024
Simple Orthogonal Graph Representation Learning (Student Abstract)
AAAI 2024