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)
SAFENUDGE: Safeguarding Large Language Models in Real-time with Tunable Safety-Performance Trade-offs
EMNLP 2025
Safe, Out-of-Distribution-Adaptive MPC with Conformalized Neural Network Ensembles
L4DC 2025
SafeQuant: LLM Safety Analysis via Quantized Gradient Inspection
NAACL 2025
SAFE-SQL: Self-Augmented In-Context Learning with Fine-grained Example Selection for Text-to-SQL
EMNLP 2025
Safety-Prioritizing Curricula for Constrained Reinforcement Learning
ICLR 2025
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video
ICCV 2025
SAIL: Sample-Centric In-Context Learning for Document Information Extraction
AAAI 2025
SAIST: Segment Any Infrared Small Target Model Guided by Contrastive Language-Image Pretraining
CVPR 2025
SAKI-RAG: Mitigating Context Fragmentation in Long-Document RAG via Sentence-level Attention Knowledge Integration
EMNLP 2025
SALE-MLP: Structure Aware Latent Embeddings for GNN to Graph-free MLP Distillation
IJCAI 2025
Salient Frequency-aware Exemplar Compression for Resource-constrained Online Continual Learning
AAAI 2025
Saliuitl: Ensemble Salience Guided Recovery of Adversarial Patches against CNNs
CVPR 2025
SALSA: A Secure, Adaptive and Label-Agnostic Scalable Algorithm for Machine Unlearning
UAI 2025
Salvage: Shapley-distribution Approximation Learning Via Attribution Guided Exploration for Explainable Image Classification
ICLR 2025
SAM2Object: Consolidating View Consistency via SAM2 for Zero-Shot 3D Instance Segmentation
CVPR 2025
Sample Efficient Alignment Learning With Episodic Control
EMNLP 2025
SampleMix: A Sample-wise Pre-training Data Mixing Strategy by Coordinating Data Quality and Diversity
EMNLP 2025
SAMPLE: Semantic Alignment through Temporal-Adaptive Multimodal Prompt Learning for Event-Based Open-Vocabulary Action Recognition
ICCV 2025
Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics
AISTATS 2025
Sam’s Fans at the Crypto Trading Challenge Task: A Threshold-Based Decision Approach Based on FinMem Framework
COLING 2025
SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
ICCV 2025
SANCTUARY: An Efficient Evidence-based Automated Fact Checking System
ACL 2025
Sandcastles in the Storm: Revisiting the (Im)possibility of Strong Watermarking
ACL 2025
SAND: Enhancing Open-Set Neuron Descriptions through Spatial Awareness
WACV 2025
SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model’s Parameter-Efficient Fine-Tuning
ICML 2025