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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Papers (including subtopics)
Debiasify: Self-Distillation for Unsupervised Bias Mitigation
WACV 2025
Debiasing Multilingual LLMs in Cross-lingual Latent Space
EMNLP 2025
Debiasing Online Preference Learning via Preference Feature Preservation
ACL 2025
Debiasing the Fine-Grained Classification Task in LLMs with Bias-Aware PEFT
ACL 2025
Debiasing Trace Guidance: Top-down Trace Distillation and Bottom-up Velocity Alignment for Unsupervised Anomaly Detection
ICCV 2025
DecAD: Decoupling Anomalies in Latent Space for Multi-Class Unsupervised Anomaly Detection
ICCV 2025
Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach
AAAI 2025
Decentralized Convergence to Equilibrium Prices in Trading Networks
AAAI 2025
Decentralized Low-Rank Fine-Tuning of Large Language Models
ACL 2025
DecepBench: Benchmarking Multimodal Deception Detection
ACL 2025
DecEx-RAG: Boosting Agentic Retrieval-Augmented Generation with Decision and Execution Optimization via Process Supervision
EMNLP 2025
DECIDER: Difference-aware Contrastive Diffusion Model with Adversarial Perturbations for Image Change Captioning
AAAI 2025
Decision-Aware Preference Modeling for Multi-Behavior Recommendation
IJCAI 2025
Decision from Suboptimal Classifiers: Excess Risk Pre- and Post-Calibration
AISTATS 2025
Decision-Point Guided Safe Policy Improvement
AISTATS 2025
Decision SpikeFormer: Spike-Driven Transformer for Decision Making
CVPR 2025
DeCo: Defect-Aware Modeling with Contrasting Matching for Optimizing Task Assignment in Online IC Testing
IJCAI 2025
Decoder Gradient Shield: Provable and High-Fidelity Prevention of Gradient-Based Box-Free Watermark Removal
CVPR 2025
Decoder-Only LLMs can be Masked Auto-Encoders
ACL 2025
Decoding Actionability: A Computational Analysis of Teacher Observation Feedback
ACL 2025
Decoding Uncertainty: The Impact of Decoding Strategies for Uncertainty Estimation in Large Language Models
EMNLP 2025
Decomposed Distribution Matching in Dataset Condensation
WACV 2025
Decomposed Prompting: Probing Multilingual Linguistic Structure Knowledge in Large Language Models
IJCNLP 2025
Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic Segmentation
AAAI 2025
Deconstructing Denoising Diffusion Models for Self-Supervised Learning
ICLR 2025