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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)

CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels NeurIPS 2023 CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations ICML 2023 C-STANCE: A Large Dataset for Chinese Zero-Shot Stance Detection ACL 2023 CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness AAAI 2023 cTBLS: Augmenting Large Language Models with Conversational Tables ACL 2023 CT-GAT: Cross-Task Generative Adversarial Attack based on Transferability EMNLP 2023 CTP:Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation ICCV 2023 CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation EMNLP 2023 CTVIS: Consistent Training for Online Video Instance Segmentation ICCV 2023 CTW: Confident Time-Warping for Time-Series Label-Noise Learning IJCAI 2023 CUDA: Convolution-Based Unlearnable Datasets CVPR 2023 CUDA-GHR: Controllable Unsupervised Domain Adaptation for Gaze and Head Redirection WACV 2023 Cultural Compass: Predicting Transfer Learning Success in Offensive Language Detection with Cultural Features EMNLP 2023 Curating Datasets for Better Performance with Example Training Dynamics ACL 2023 Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments ICML 2023 Curious Replay for Model-based Adaptation ICML 2023 Curricular Contrastive Regularization for Physics-Aware Single Image Dehazing CVPR 2023 Curricular Object Manipulation in LiDAR-Based Object Detection CVPR 2023 Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation ICML 2023 Curriculum Graph Machine Learning: A Survey IJCAI 2023 Curriculum Learning for Graph Neural Networks: A Multiview Competence-based Approach ACL 2023 Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First NeurIPS 2023 Curriculum Learning for Self-supervised Speaker Verification Interspeech 2023 Curriculum Learning With Infant Egocentric Videos NeurIPS 2023 Curriculum Multi-Negative Augmentation for Debiased Video Grounding AAAI 2023