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)
Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries
ACL 2025
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF
JMLR 2025
Principled Personas: Defining and Measuring the Intended Effects of Persona Prompting on Task Performance
EMNLP 2025
Prior2Former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation
ICCV 2025
Prior-Constrained Association Learning for Fine-Grained Generalized Category Discovery
AAAI 2025
Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits
AISTATS 2025
Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak Learners
AISTATS 2025
Prioritized Generative Replay
ICLR 2025
PRIORITY2REWARD: Incorporating Healthworker Preferences for Resource Allocation Planning
AAAI 2025
Prior Prompt Engineering for Reinforcement Fine-Tuning
EMNLP 2025
PRISM: Efficient Long-Range Reasoning With Short-Context LLMs
EMNLP 2025
PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning
EMNLP 2025
PRISM: Reducing Spurious Implicit Biases in Vision-Language Models with LLM-Guided Embedding Projection
ICCV 2025
Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting
ICML 2025
Privacy-Aware Lifelong Learning
ICLR 2025
Privacy-centric Deep Motion Retargeting for Anonymization of Skeleton-Based Motion Visualization
ICCV 2025
Privacy in Metalearning and Multitask Learning: Modeling and Separations
AISTATS 2025
Privately Counting Partially Ordered Data
ICLR 2025
Private Mechanism Design via Quantile Estimation
ICLR 2025
PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models
ACL 2025
Proactive Data-driven Scheduling of Business Processes
IJCAI 2025
Proactive Guidance of Multi-Turn Conversation in Industrial Search
ACL 2025
ProAPO: Progressively Automatic Prompt Optimization for Visual Classification
CVPR 2025
Probabilistic Conformal Prediction with Approximate Conditional Validity
ICLR 2025
Probabilistic Language-Image Pre-Training
ICLR 2025