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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)

Enhanced Training Methods for Multiple Languages ACL 2023 Enhance Robustness of Machine Learning with Improved Efficiency AAAI 2023 Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language ICML 2023 Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization NeurIPS 2023 Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation ICCV 2023 Enhancing Adversarial Robustness via Score-Based Optimization NeurIPS 2023 Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information EMNLP 2023 Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning NeurIPS 2023 Enhancing Code-Switching for Cross-lingual SLU: A Unified View of Semantic and Grammatical Coherence EMNLP 2023 Enhancing Continual Relation Extraction via Classifier Decomposition ACL 2023 Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer ACL 2023 Enhancing Cross-lingual Prompting with Dual Prompt Augmentation ACL 2023 Enhancing Cross-lingual Transfer via Phonemic Transcription Integration ACL 2023 Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance ACL 2023 Enhancing Educational Dialogues: A Reinforcement Learning Approach for Generating AI Teacher Responses ACL 2023 Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks IJCAI 2023 Enhancing Emotion Recognition in Conversation via Multi-view Feature Alignment and Memorization EMNLP 2023 Enhancing Event Causality Identification with Counterfactual Reasoning ACL 2023 Enhancing Event Causality Identification with Event Causal Label and Event Pair Interaction Graph ACL 2023 Enhancing Extreme Multi-Label Text Classification: Addressing Challenges in Model, Data, and Evaluation EMNLP 2023 Enhancing Few-shot Cross-lingual Transfer with Target Language Peculiar Examples ACL 2023 Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation ICCV 2023 Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback EMNLP 2023 Enhancing Hierarchical Text Classification through Knowledge Graph Integration ACL 2023 Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork NeurIPS 2023