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Learning Types

56,253 papers (3 classified directly here)

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)
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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