Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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'20
'25
Papers (including subtopics)
SuperPC: A Single Diffusion Model for Point Cloud Completion, Upsampling, Denoising, and Colorization
CVPR 2025
Superpowering Open-Vocabulary Object Detectors for X-ray Vision
ICCV 2025
SuperRAG: Beyond RAG with Layout-Aware Graph Modeling
NAACL 2025
Supervised and Semi-Supervised Diffusion Maps with Label-Driven Diffusion
ICLR 2025
Supervised Contrastive Learning from Weakly-Labeled Audio Segments for Musical Version Matching
ICML 2025
Supervised Exploratory Learning for Long-Tailed Visual Recognition
ICCV 2025
Supervised Learning with Evolving Tasks and Performance Guarantees
JMLR 2025
Supervised Machine Learning based Amharic Text Complexity Classification Using Automatic Annotator Tool
ACL 2025
Supervising Sound Localization by In-the-wild Egomotion
CVPR 2025
Supportive Negatives Spectral Augmentation for Source-Free Cross-Domain Segmentation
AAAI 2025
SuPreME: A Supervised Pre-training Framework for Multimodal ECG Representation Learning
EMNLP 2025
SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition
Interspeech 2025
Surgical Workflow Recognition and Blocking Effectiveness Detection in Laparoscopic Liver Resection with Pringle Maneuver
AAAI 2025
Surprise Calibration for Better In-Context Learning
EMNLP 2025
Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks
AISTATS 2025
SUTrack: Towards Simple and Unified Single Object Tracking
AAAI 2025
SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning
AAAI 2025
SV-data2vec: Guiding Video Representation Learning with Latent Skeleton Targets
WACV 2025
SVD-GCL: A Noise-Augmented Hybrid Graph Contrastive Learning Framework for Recommendation
COLING 2025
SVIP: Semantically Contextualized Visual Patches for Zero-Shot Learning
ICCV 2025
SVLTA: Benchmarking Vision-Language Temporal Alignment via Synthetic Video Situation
CVPR 2025
Swahili News Classification: Performance, Challenges, and Explainability Across ML, DL, and Transformers
ACL 2025
Swap Path Network for Robust Person Search Pre-Training
WACV 2025
Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation
AAAI 2025
SwinIA: Self-Supervised Blind-Spot Image Denoising without Convolutions
WACV 2025