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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'20
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Papers (including subtopics)
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLMs-Powered Assistance
ACL 2024
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds
CVPR 2024
Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning
ICLR 2024
Hierarchical Adversarial Correction to Mitigate Identity Term Bias in Toxicity Detection
ACL 2024
Hierarchical Aligned Multimodal Learning for NER on Tweet Posts
AAAI 2024
Hierarchical and Density-based Causal Clustering
NeurIPS 2024
Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection
AAAI 2024
Hierarchical Correlation Clustering and Tree Preserving Embedding
CVPR 2024
Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation
CVPR 2024
Hierarchical Intra-modal Correlation Learning for Label-free 3D Semantic Segmentation
CVPR 2024
Hierarchical Multi-Task Learning with CTC and Recursive Operation
Interspeech 2024
Hierarchical Object-Aware Dual-Level Contrastive Learning for Domain Generalized Stereo Matching
NeurIPS 2024
Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention
AAAI 2024
Hierarchical Topic Modeling via Contrastive Learning and Hyperbolic Embedding
COLING 2024
Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits
AAAI 2024
Hierarchy-Agnostic Unsupervised Segmentation: Parsing Semantic Image Structure
NeurIPS 2024
HierarchyEverywhere at SemEval-2024 Task 4: Detection of Persuasion Techniques in Memes Using Hierarchical Text Classifier
SemEval 2024
HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation
AAAI 2024
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling
ICML 2024
High-dimensional (Group) Adversarial Training in Linear Regression
NeurIPS 2024
Higher-Order Causal Message Passing for Experimentation with Complex Interference
NeurIPS 2024
High-Fidelity Pseudo-Labels for Boosting Weakly-Supervised Segmentation
WACV 2024
High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature Correspondence Analysis
WACV 2024
High-Order Contrastive Learning with Fine-grained Comparative Levels for Sparse Ordinal Tensor Completion
ICML 2024
High-order Joint Constituency and Dependency Parsing
COLING 2024