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)
POSITION BIAS MITIGATES POSITION BIAS: Mitigate Position Bias Through Inter-Position Knowledge Distillation
EMNLP 2025
Position: General Intelligence Requires Reward-based Pretraining
ICML 2025
Position Really Matters: Towards a Holistic Approach for Prompt Tuning
NAACL 2025
Positive2Negative: Breaking the Information-Lossy Barrier in Self-Supervised Single Image Denoising
CVPR 2025
PositiveCoOp: Rethinking Prompting Strategies for Multi-Label Recognition with Partial Annotations
WACV 2025
Positive Experience Reflection for Agents in Interactive Text Environments
ACL 2025
Positive Text Reframing under Multi-strategy Optimization
COLING 2025
Positive-Unlabeled Diffusion Models for Preventing Sensitive Data Generation
ICLR 2025
PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling
ICLR 2025
PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing
ICLR 2025
PoSum-Bench: Benchmarking Position Bias in LLM-based Conversational Summarization
EMNLP 2025
Potentially Problematic Word Usages and How to Detect Them: A Survey
EMNLP 2025
POT: Prototypical Optimal Transport for Weakly Supervised Semantic Segmentation
CVPR 2025
Power of Cooperative Supervision: Multiple Teachers Framework for Advanced 3D Semi-Supervised Object Detection
ICCV 2025
Power of Diversity: Enhancing Data-Free Black-Box Attack with Domain-Augmented Learning
AAAI 2025
PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides
EMNLP 2025
PPT: Patch Order Do Matters In Time Series Pretext Task
ICLR 2025
Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs—a Graph Sequential Embedding Method
AAAI 2025
Practical Solutions to Practical Problems in Developing Argument Mining Systems
ACL 2025
PRACTIQ: A Practical Conversational Text-to-SQL dataset with Ambiguous and Unanswerable Queries
NAACL 2025
PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis
AAAI 2025
Pragmatic Inference Chain (PIC) Improving LLMs’ Reasoning of Authentic Implicit Toxic Language
EMNLP 2025
Pragmatic Metacognitive Prompting Improves LLM Performance on Sarcasm Detection
COLING 2025
PRDetect: Perturbation-Robust LLM-generated Text Detection Based on Syntax Tree
NAACL 2025
Pre-annotation Matters: A Comparative Study on POS and Dependency Annotation for an Alsatian Dialect
ACL 2025