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)
Preference Identification by Interaction Overlap for Bundle Recommendation
IJCAI 2025
Preference Optimization for Reasoning with Pseudo Feedback
ICLR 2025
Preference-Oriented Supervised Fine-Tuning: Favoring Target Model over Aligned Large Language Models
AAAI 2025
Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning
EMNLP 2025
Preliminary Evaluation of the Test-Time Training Layers in Recommendation System (Student Abstract)
AAAI 2025
Preserve or Modify? Context-Aware Evaluation for Balancing Preservation and Modification in Text-Guided Image Editing
CVPR 2025
Preserving Diversity in Supervised Fine-Tuning of Large Language Models
ICLR 2025
Preserving Zero-shot Capability in Supervised Fine-tuning for Multi-label Text Classification
NAACL 2025
PresiUniv at FinCausal 2025 Shared Task: Applying Fine-tuned Language Models to Explain Financial Cause and Effect with Zero-shot Learning
COLING 2025
PreSumm: Predicting Summarization Performance Without Summarizing
ACL 2025
Pre-trained Behavioral Model for Malicious User Prediction on Social Platform
AAAI 2025
Pre-trained Language Models Learn Remarkably Accurate Representations of Numbers
EMNLP 2025
Pre-Trained Multiple Latent Variable Generative Models are Good Defenders Against Adversarial Attacks
WACV 2025
Pretrained Reversible Generation as Unsupervised Visual Representation Learning
ICCV 2025
Pre-Trained Vision-Language Models as Noisy Partial Annotators
AAAI 2025
Pre-training Auto-regressive Robotic Models with 4D Representations
ICML 2025
Pre-Training Curriculum for Multi-Token Prediction in Language Models
ACL 2025
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation
ICML 2025
Pre-Training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck
AAAI 2025
Pretraining Strategies using Monolingual and Parallel Data for Low-Resource Machine Translation
ACL 2025
Preventing Latent Diffusion Model-Based Image Mimicry via Angle Shifting and Ensemble Learning
IJCAI 2025
Preventing Rogue Agents Improves Multi-Agent Collaboration
ACL 2025
PricingLogic: Evaluating LLMs Reasoning on Complex Tourism Pricing Tasks
EMNLP 2025
Primal-Dual Spectral Representation for Off-policy Evaluation
AISTATS 2025
PRIMAL: Physically Reactive and Interactive Motor Model for Avatar Learning
ICCV 2025