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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)

Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine AAAI 2023 DropMessage: Unifying Random Dropping for Graph Neural Networks AAAI 2023 Dropout Is NOT All You Need to Prevent Gradient Leakage AAAI 2023 Dropout Reduces Underfitting ICML 2023 DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions NeurIPS 2023 DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening NeurIPS 2023 DSFormer: A Dual-Domain Self-Supervised Transformer for Accelerated Multi-Contrast MRI Reconstruction WACV 2023 DSP: Discriminative Soft Prompts for Zero-Shot Entity and Relation Extraction ACL 2023 DSPM-NLG: A Dual Supervised Pre-trained Model for Few-shot Natural Language Generation in Task-oriented Dialogue System ACL 2023 DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization ACL 2023 Dual Acoustic Linguistic Self-supervised Representation Learning for Cross-Domain Speech Recognition Interspeech 2023 Dual Algorithmic Reasoning ICLR 2023 Dual-Bridging With Adversarial Noise Generation for Domain Adaptive rPPG Estimation CVPR 2023 Dual Class Knowledge Propagation Network for Multi-label Few-shot Intent Detection ACL 2023 Dual Contrastive Learning Framework for Incremental Text Classification EMNLP 2023 Dual Focal Loss for Calibration ICML 2023 Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction ACL 2023 DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning ICML 2023 Dual Label-Guided Graph Refinement for Multi-View Graph Clustering AAAI 2023 Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks AAAI 2023 Dual Mean-Teacher: An Unbiased Semi-Supervised Framework for Audio-Visual Source Localization NeurIPS 2023 Dual Memory Fusion for Multimodal Speech Emotion Recognition Interspeech 2023 Dual-Memory Multi-Modal Learning for Continual Spoken Keyword Spotting with Confidence Selection and Diversity Enhancement Interspeech 2023 Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection AAAI 2023 Dual Meta-Learning with Longitudinally Consistent Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan ICCV 2023