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)
Explicit and Implicit Examinee-Question Relation Exploiting for Efficient Computerized Adaptive Testing
AAAI 2025
Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement Learning
L4DC 2025
Exploiting Fine-Grained Skip Behaviors for Micro-Video Recommendation
AAAI 2025
Exploiting Label Skewness for Spiking Neural Networks in Federated Learning
IJCAI 2025
Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking
AAAI 2025
Exploiting Prompt-induced Confidence for Black-Box Attacks on LLMs
EMNLP 2025
Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks
IJCAI 2025
Exploiting Vision Language Model for Training-Free 3D Point Cloud OOD Detection via Graph Score Propagation
ICCV 2025
Exploit Your Latents: Coarse-Grained Protein Backmapping with Latent Diffusion Models
AAAI 2025
Exploration-Driven Generative Interactive Environments
CVPR 2025
Exploration Lab IITK at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection
SemEval 2025
Exploration Lab IITK at SemEval-2025 Task 8: Multi-LLM Agent QA over Tabular Data
SemEval 2025
Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF
ICLR 2025
Exploring a Principled Framework for Deep Subspace Clustering
ICLR 2025
Exploring Artificial Image Generation for Stance Detection
EMNLP 2025
Exploring Chain-of-Thought Reasoning for Steerable Pluralistic Alignment
EMNLP 2025
Exploring CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation
CVPR 2025
Exploring Compositional Generalization of Multimodal LLMs for Medical Imaging
ACL 2025
Exploring Contextual Attribute Density in Referring Expression Counting
CVPR 2025
Exploring Deductive and Inductive Reasoning Capabilities of Large Language Models in Procedural Planning
EMNLP 2025
Exploring Explanations Improves the Robustness of In-Context Learning
ACL 2025
Exploring Exploration in Bayesian Optimization
UAI 2025
Exploring Forgetting in Large Language Model Pre-Training
ACL 2025
Exploring In-context Example Generation for Machine Translation
ACL 2025
Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection
CVPR 2025