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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)

Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation NeurIPS 2024 Enhancing Ensemble Clustering with Adaptive High-Order Topological Weights AAAI 2024 Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement EACL 2024 Enhancing Fine-Grained Image Classifications via Cascaded Vision Language Models EMNLP 2024 Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator IJCAI 2024 Enhancing Hallucination Detection through Perturbation-Based Synthetic Data Generation in System Responses ACL 2024 Enhancing Healthcare LLM Trust with Atypical Presentations Recalibration EMNLP 2024 Enhancing Idiomatic Representation in Multiple Languages via an Adaptive Contrastive Triplet Loss ACL 2024 Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective NeurIPS 2024 Enhancing In-context Learning via Linear Probe Calibration AISTATS 2024 Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair CVPR 2024 Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks AAAI 2024 Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency ACL 2024 Enhancing Learning-Based Binary Code Similarity Detection Model through Adversarial Training with Multiple Function Variants EMNLP 2024 Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs EMNLP 2024 Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases IJCAI 2024 Enhancing LLM Reasoning via Vision-Augmented Prompting NeurIPS 2024 Enhancing Low-Resource Relation Representations through Multi-View Decoupling AAAI 2024 Enhancing Modal Fusion by Alignment and Label Matching for Multimodal Emotion Recognition Interspeech 2024 Enhancing Multi-Label Classification via Dynamic Label-Order Learning AAAI 2024 Enhancing Multi-Label Text Classification under Label-Dependent Noise: A Label-Specific Denoising Framework EMNLP 2024 Enhancing Multilingual Voice Toxicity Detection with Speech-Text Alignment Interspeech 2024 Enhancing Multimodal Compositional Reasoning of Visual Language Models With Generative Negative Mining WACV 2024 Enhancing Multimodal Emotion Recognition through ASR Error Compensation and LLM Fine-Tuning Interspeech 2024 Enhancing Multimodal Knowledge Graph Representation Learning through Triple Contrastive Learning IJCAI 2024