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)
(De)-regularized Maximum Mean Discrepancy Gradient Flow
JMLR 2025
DERI: Cross-Modal ECG Representation Learning with Deep ECG-Report Interaction
IJCAI 2025
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI
CVPR 2025
Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm
ICLR 2025
Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation
EMNLP 2025
Describe Anything: Detailed Localized Image and Video Captioning
ICCV 2025
Descriptive and Discriminative Document Identifiers for Generative Retrieval
AAAI 2025
DesignCLIP: Multimodal Learning with CLIP for Design Patent Understanding
EMNLP 2025
Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport
AAAI 2025
Designing Mechanical Meta-Materials by Learning Equivariant Flows
ICLR 2025
Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph Modeling
AAAI 2025
Design Principles of Multi-Scale J-Invariant Networks for Self-Supervised Image Denoising
WACV 2025
Design Principle Transfer in Neural Architecture Search via Large Language Models
AAAI 2025
DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding
ICCV 2025
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation
ICCV 2025
Detect Any Mirrors: Boosting Learning Reliability on Large-Scale Unlabeled Data with an Iterative Data Engine
CVPR 2025
Detect Anything 3D in the Wild
ICCV 2025
Detecting Adversarial Data Using Perturbation Forgery
CVPR 2025
Detecting and Corrupting Convolution-based Unlearnable Examples
AAAI 2025
Detecting and Mitigating Challenges in Zero-Shot Video Summarization with Video LLMs
ACL 2025
Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback
AAAI 2025
Detecting Backdoor Samples in Contrastive Language Image Pretraining
ICLR 2025
Detecting Hallucinations in Scientific Claims by Combining Prompting Strategies and Internal State Classification
ACL 2025
Detecting Honkadori based on Waka Embeddings
NAACL 2025
Detecting Hyperpartisanship and Rhetorical Bias in Climate Journalism: A Sentence-Level Italian Dataset
ACL 2025