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)
Oath Breakers at SemEval-2025 Task 06: PromiseEval
SemEval 2025
Object-Centric Pretraining via Target Encoder Bootstrapping
ICLR 2025
Objective drives the consistency of representational similarity across datasets
ICML 2025
Object-Level Backdoor Attacks in RGB-T Semantic Segmentation with Cross-Modality Trigger Optimization
IJCAI 2025
Object-level Correlation for Few-Shot Segmentation
ICCV 2025
ObjectRelator: Enabling Cross-View Object Relation Understanding Across Ego-Centric and Exo-Centric Perspectives
ICCV 2025
OccFlowNet: Occupancy Estimation via Differentiable Rendering and Occupancy Flow
WACV 2025
Occlusion-aware Non-Rigid Point Cloud Registration via Unsupervised Neural Deformation Correntropy
ICLR 2025
Occlusion-aware Text-Image-Point Cloud Pretraining for Open-World 3D Object Recognition
CVPR 2025
Occupancy Learning with Spatiotemporal Memory
ICCV 2025
OccuTriage: An AI Agent Orchestration Framework for Occupational Health Triage Prediction
ACL 2025
OCSplats: Observation Completeness Quantification and Label Noise Separation in 3DGS
ICCV 2025
Octopus: Alleviating Hallucination via Dynamic Contrastive Decoding
CVPR 2025
ODA-GAN: Orthogonal Decoupling Alignment GAN Assisted by Weakly-supervised Learning for Virtual Immunohistochemistry Staining
CVPR 2025
ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks
AAAI 2025
ODD: Overlap-aware Estimation of Model Performance under Distribution Shift
UAI 2025
ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches
ICCV 2025
ODE: Open-Set Evaluation of Hallucinations in Multimodal Large Language Models
CVPR 2025
ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction
ICCV 2025
Offline RL via Feature-Occupancy Gradient Ascent
AISTATS 2025
Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood
ICLR 2025
Offline Safe Reinforcement Learning Using Trajectory Classification
AAAI 2025
Offline-to-Online Hyperparameter Transfer for Stochastic Bandits
AAAI 2025
Off-policy Predictive Control with Causal Sensitivity Analysis
UAI 2025
OGP-Net: Optical Guidance Meets Pixel-Level Contrastive Distillation for Robust Multi-Modal and Missing Modality Segmentation
AAAI 2025