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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)

Improving Formality-Sensitive Machine Translation Using Data-Centric Approaches and Prompt Engineering ACL 2023 Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting ACL 2023 Improving generalization in large langue model by learning prefix subspaces EMNLP 2023 Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning ICCV 2023 Improving Generalization With Domain Convex Game CVPR 2023 Improving Gradient Trade-offs between Tasks in Multi-task Text Classification ACL 2023 Improving Grammatical Error Correction with Multimodal Feature Integration ACL 2023 Improving Heterogeneous Model Reuse by Density Estimation IJCAI 2023 Improving Image Recognition by Retrieving From Web-Scale Image-Text Data CVPR 2023 Improving Input-label Mapping with Demonstration Replay for In-context Learning EMNLP 2023 Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations AAAI 2023 Improving Knowledge Graph Completion with Generative Hard Negative Mining ACL 2023 Improving l1-Certified Robustness via Randomized Smoothing by Leveraging Box Constraints ICML 2023 Improving Label Assignments Learning by Dynamic Sample Dropout Combined with Layer-wise Optimization in Speech Separation Interspeech 2023 Improving Long Document Topic Segmentation Models With Enhanced Coherence Modeling EMNLP 2023 Improving Low-resource Named Entity Recognition with Graph Propagated Data Augmentation ACL 2023 Improving Low Resource Speech Translation with Data Augmentation and Ensemble Strategies ACL 2023 Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling ICML 2023 Improving Multi-Criteria Chinese Word Segmentation through Learning Sentence Representation EMNLP 2023 Improving multimodal datasets with image captioning NeurIPS 2023 Improving Multimodal Sentiment Analysis: Supervised Angular margin-based Contrastive Learning for Enhanced Fusion Representation EMNLP 2023 Improving multiple-try Metropolis with local balancing JMLR 2023 Improving Multi-Stage Long Document Summarization with Enhanced Coarse Summarizer EMNLP 2023 Improving Named Entity Recognition via Bridge-based Domain Adaptation ACL 2023 Improving Neural Machine Translation by Multi-Knowledge Integration with Prompting EMNLP 2023