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)
Towards Understanding Parametric Generalized Category Discovery on Graphs
ICML 2025
Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective
ICLR 2025
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
ICLR 2025
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments
AAAI 2025
Towards Universal AI-Generated Image Detection by Variational Information Bottleneck Network
CVPR 2025
Towards Universal Dataset Distillation via Task-Driven Diffusion
CVPR 2025
Towards Universal Debiasing for Language Models-based Tabular Data Generation
EMNLP 2025
Towards Unsupervised Blind Face Restoration using Diffusion Prior
WACV 2025
Towards Video Thinking Test: A Holistic Benchmark for Advanced Video Reasoning and Understanding
ICCV 2025
Towards Visual Localization Interoperability: Cross-Feature for Collaborative Visual Localization and Mapping
ICCV 2025
Towards VLM-based Hybrid Explainable Prompt Enhancement for Zero-Shot Industrial Anomaly Detection
IJCAI 2025
Towards Zero-Shot 3D Anomaly Localization
WACV 2025
Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models
CVPR 2025
Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation
AAAI 2025
TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning
EMNLP 2025
TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos
ICCV 2025
Trace: Structural Riemannian Bridge Matching for Transferable Source Localization in Information Propagation
IJCAI 2025
TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs
AAAI 2025
Tracing Copied Pixels and Regularizing Patch Affinity in Copy Detection
ICCV 2025
TrackAny3D: Transferring Pretrained 3D Models for Category-unified 3D Point Cloud Tracking
ICCV 2025
Tracking Evolving Relationship Between Characters in Books in the Era of Large Language Models
NAACL 2025
Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images
ICLR 2025
Tracking Universal Features Through Fine-Tuning and Model Merging
NAACL 2025
TrackVerse: A Large-Scale Object-Centric Video Dataset for Image-Level Representation Learning
ICCV 2025
Trade-offs in Image Generation: How Do Different Dimensions Interact?
ICCV 2025