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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'25
Papers (including subtopics)
Attacking Misinformation Detection Using Adversarial Examples Generated by Language Models
EMNLP 2025
Attack-inspired Calibration Loss for Calibrating Crack Recognition
AAAI 2025
Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models
AAAI 2025
Attack on Prompt: Backdoor Attack in Prompt-Based Continual Learning
AAAI 2025
Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning
AAAI 2025
Attention-Based Class-Conditioned Alignment for Multi-Source Domain Adaptation of Object Detectors
WACV 2025
Attention-based Conditional Random Field for Financial Fraud Detection
IJCAI 2025
Attention-Driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models Without Fine-Tuning
AAAI 2025
Attention-Guided Masked Autoencoders for Learning Image Representations
WACV 2025
Attention-Imperceptible Backdoor Attacks on Vision Transformers
AAAI 2025
Attention-Seeker: Dynamic Self-Attention Scoring for Unsupervised Keyphrase Extraction
COLING 2025
Attention with Dependency Parsing Augmentation for Fine-Grained Attribution
ACL 2025
AttentiveMOS: A Lightweight Attention-Only Model forSpeech Quality Prediction
Interspeech 2025
Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning
CVPR 2025
Attribute Association Driven Multi-Task Learning for Session-based Recommendation
IJCAI 2025
AttributeForge: An Agentic LLM Framework for Automated Product Schema Modeling
EMNLP 2025
Attribute-Missing Multi-view Graph Clustering
CVPR 2025
Attributes as Textual Genes: Leveraging LLMs as Genetic Algorithm Simulators for Conditional Synthetic Data Generation
EMNLP 2025
A Two-Head Loss Function for Deep Average-K Classification
WACV 2025
A Two-Stage LLM System for Enhanced Regulatory Information Retrieval and Answer Generation
COLING 2025
Audio-Based Crowd-Sourced Evaluation of Machine Translation Quality
EMNLP 2025
Audio-Visual Adaptive Fusion Network for Question Answering Based on Contrastive Learning
AAAI 2025
Audio-Visual Semantic Graph Network for Audio-Visual Event Localization
CVPR 2025
Audit-FT at the Regulations Challenge Task: An Open-Source Large Language Model for Audit
COLING 2025
AUEB-Archimedes at RIRAG-2025: Is Obligation concatenation really all you need?
COLING 2025