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)
SDDiff: Boosting Radar Perception via Spatial-Doppler Diffusion
IJCAI 2025
SDD: Self-Degraded Defense against Malicious Fine-tuning
ACL 2025
SDGO: Self-Discrimination-Guided Optimization for Consistent Safety in Large Language Models
EMNLP 2025
SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning
ICLR 2025
sDPO: Don’t Use Your Data All at Once
COLING 2025
SEAD: Unsupervised Ensemble of Streaming Anomaly Detectors
ICML 2025
SeaExam and SeaBench: Benchmarking LLMs with Local Multilingual Questions in Southeast Asia
NAACL 2025
SEA-HELM: Southeast Asian Holistic Evaluation of Language Models
ACL 2025
SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection
ICLR 2025
SEAL: Semantic Attention Learning for Long Video Representation
CVPR 2025
SEAL: Structure and Element Aware Learning Improves Long Structured Document Retrieval
EMNLP 2025
Seal Your Backdoor with Variational Defense
ICCV 2025
Seamlessly Integrating Tree-Based Positional Embeddings into Transformer Models for Source Code Representation
ACL 2025
SEARA: An Automated Approach for Obtaining Optimal Retrievers
EMNLP 2025
Search-in-Context: Efficient Multi-Hop QA over Long Contexts via Monte Carlo Tree Search with Dynamic KV Retrieval
ACL 2025
Search-o1: Agentic Search-Enhanced Large Reasoning Models
EMNLP 2025
Search Query Embeddings via User-behavior-driven Contrastive Learning
NAACL 2025
Search Strategy Generation for Branch and Bound Using Genetic Programming
AAAI 2025
Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty
EMNLP 2025
SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning
ICCV 2025
SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models
AAAI 2025
SEA: Supervised Embedding Alignment for Token-Level Visual-Textual Integration in MLLMs
EMNLP 2025
SEBRA : Debiasing through Self-Guided Bias Ranking
ICLR 2025
Second Language (Arabic) Acquisition of LLMs via Progressive Vocabulary Expansion
ACL 2025
Second Order Bounds for Contextual Bandits with Function Approximation
ICLR 2025