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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'10
'15
'20
'25
Papers (including subtopics)
One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation
AAAI 2025
One-for-More: Continual Diffusion Model for Anomaly Detection
CVPR 2025
One Leaf Reveals the Season: Occlusion-Based Contrastive Learning with Semantic-Aware Views for Efficient Visual Representation
ICML 2025
One Look is Enough: Seamless Patchwise Refinement for Zero-Shot Monocular Depth Estimation on High-Resolution Images
ICCV 2025
One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL
ACL 2025
One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs
ICLR 2025
One Node One Model: Featuring the Missing-Half for Graph Clustering
AAAI 2025
OneNRC@TSAR2025 Shared Task Small Models for Readability Controlled Text Simplification
EMNLP 2025
One Object, Multiple Lies: A Benchmark for Cross-task Adversarial Attack on Unified Vision-Language Models
ICCV 2025
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models
ICCV 2025
One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency
CVPR 2025
One Shot Dominance: Knowledge Poisoning Attack on Retrieval-Augmented Generation Systems
EMNLP 2025
One-Shot Knowledge Transfer for Scalable Person Re-Identification
ICCV 2025
One-step Label Shift Adaptation via Robust Weight Estimation
IJCAI 2025
One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy
ICML 2025
One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-object Trajectory
ICCV 2025
One VLM to Keep it Learning: Generation and Balancing for Data-Free Continual Visual Question Answering
WACV 2025
On Finding Hubs in High Dimensions with Sampling
AAAI 2025
On Generalization Across Environments In Multi-Objective Reinforcement Learning
ICLR 2025
On Guardrail Models’ Robustness to Mutations and Adversarial Attacks
EMNLP 2025
On Information-Theoretic Measures of Predictive Uncertainty
UAI 2025
On Integrating LLMs Into an Argument Annotation Workflow
ACL 2025
On Integrating Logical Analysis of Data into Random Forests
IJCAI 2025
On Large Language Model Continual Unlearning
ICLR 2025
On Linear Representations and Pretraining Data Frequency in Language Models
ICLR 2025