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Learning Types

56,254 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 (1,984) 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)

Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses NeurIPS 2023 Human-in-the-Loop Vehicle ReID AAAI 2023 Human-in-the-Loop Video Semantic Segmentation Auto-Annotation WACV 2023 Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax AAAI 2023 Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic Segmentation CVPR 2023 HuPR: A Benchmark for Human Pose Estimation Using Millimeter Wave Radar WACV 2023 HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image AAAI 2023 HW-TSC 2023 Submission for the Quality Estimation Shared Task EMNLP 2023 HW-TSC at IWSLT2023: Break the Quality Ceiling of Offline Track via Pre-Training and Domain Adaptation ACL 2023 HW-TSC’s Participation in the WMT 2023 Automatic Post Editing Shared Task EMNLP 2023 Hybrid Active Learning via Deep Clustering for Video Action Detection CVPR 2023 Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection ICML 2023 Hybrid Learning with New Value Function for the Maximum Common Induced Subgraph Problem AAAI 2023 Hybrid Search for Efficient Planning with Completeness Guarantees NeurIPS 2023 Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks ACL 2023 HYDRA: Hybrid Robot Actions for Imitation Learning CoRL 2023 Hyperbolic Contrastive Learning for Visual Representations Beyond Objects CVPR 2023 Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach NeurIPS 2023 Hyperbolic Image-text Representations ICML 2023 Hyperbolic Self-paced Learning for Self-supervised Skeleton-based Action Representations ICLR 2023 Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels NeurIPS 2023 HyperCUT: Video Sequence From a Single Blurry Image Using Unsupervised Ordering CVPR 2023 Hyper-HMM: aligning human brains and semantic features in a common latent event space NeurIPS 2023 HyperJump: Accelerating HyperBand via Risk Modelling AAAI 2023 HyperMatch: Noise-Tolerant Semi-Supervised Learning via Relaxed Contrastive Constraint CVPR 2023