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
'5
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'15
'20
'25
Papers (including subtopics)
Prototype Guided Backdoor Defense via Activation Space Manipulation
ICCV 2025
Prototype-guided Knowledge Propagation with Adaptive Learning for Lifelong Person Re-identification
IJCAI 2025
Prototypical Calibrating Ambiguous Samples for Micro-Action Recognition
AAAI 2025
Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss
NAACL 2025
Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition
AAAI 2025
ProtoXTM: Cross-Lingual Topic Modeling with Document-Level Prototype-based Contrastive Learning
EMNLP 2025
Provable Discriminative Hyperspherical Embedding for Out-of-Distribution Detection
AAAI 2025
Provable weak-to-strong generalization via benign overfitting
ICLR 2025
Provably Adaptive Average Reward Reinforcement Learning for Metric Spaces
UAI 2025
Proverbs Run in Pairs: Evaluating Proverb Translation Capability of Large Language Model
ACL 2025
Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning
CVPR 2025
PRO-VPT: Distribution-Adaptive Visual Prompt Tuning via Prompt Relocation
ICCV 2025
ProxAnn: Use-Oriented Evaluations of Topic Models and Document Clustering
ACL 2025
Proxy-Driven Robust Multimodal Sentiment Analysis with Incomplete Data
ACL 2025
Proxy-informed Bayesian transfer learning with unknown sources
UAI 2025
Proxy Tuning for Financial Sentiment Analysis: Overcoming Data Scarcity and Computational Barriers
COLING 2025
PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds
CVPR 2025
PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection
CVPR 2025
PScalpel: A Machine Learning-based Guider for Protein Phase-Separating Behaviour Alteration
AAAI 2025
PseDet: Revisiting the Power of Pseudo Label in Incremental Object Detection
ICLR 2025
Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning
AAAI 2025
Pseudo-label Data Construction Method and Syntax-enhanced Model for Chinese Semantic Error Recognition
COLING 2025
Pseudo-Label Reconstruction for Partial Multi-Label Learning
IJCAI 2025
PseudoMapTrainer: Learning Online Mapping without HD Maps
ICCV 2025
Pseudo-SD: Pseudo Controlled Stable Diffusion for Semi-Supervised and Cross-Domain Semantic Segmentation
ICCV 2025