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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)

EnerGIZAr: Leveraging GIZA++ for Effective Tokenizer Initialization ACL 2025 Energy-consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations AISTATS 2025 Enhance Contextual Learning in ASR for Endangered Low-resource Languages NAACL 2025 Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation CVPR 2025 Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows AAAI 2025 Enhanced OoD Detection through Cross-Modal Alignment of Multi-Modal Representations CVPR 2025 Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled Yet Hard-to-Learn Samples in Noisy Data AAAI 2025 Enhanced Unsupervised Discriminant Dimensionality Reduction for Nonlinear Data IJCAI 2025 Enhanced Zero-Shot Machine Translation via Fixed Prefix Pair Bootstrapping NAACL 2025 Enhance Modality Robustness in Text-Centric Multimodal Alignment with Adversarial Prompting AAAI 2025 Enhance Multi-View Classification Through Multi-Scale Alignment and Expanded Boundary ICLR 2025 Enhancing 3D Gaze Estimation in the Wild using Weak Supervision with Gaze Following Labels CVPR 2025 Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability ICML 2025 Enhancing Adversarial Transferability by Balancing Exploration and Exploitation with Gradient-Guided Sampling ICCV 2025 Enhancing Adversarial Transferability in Visual-Language Pre-training Models via Local Shuffle and Sample-based Attack NAACL 2025 Enhancing Adversarial Transferability with Adversarial Weight Tuning AAAI 2025 Enhancing Adversarial Transferability with Checkpoints of a Single Model's Training CVPR 2025 Enhancing AI-Driven Farming Advisory in Kenya with Efficient RAG Agents via Quantized Fine-Tuned Language Models ACL 2025 Enhancing Antimicrobial Drug Resistance Classification by Integrating Sequence-Based and Text-Based Representations ACL 2025 Enhancing Audiovisual Speech Recognition Through Bifocal Preference Optimization AAAI 2025 Enhancing Automatic Term Extraction with Large Language Models via Syntactic Retrieval ACL 2025 Enhancing BERT Fine-Tuning for Sentiment Analysis in Lower-Resourced Languages IJCNLP 2025 Enhancing Causal Relationship Detection Using Prompt Engineering and Large Language Models COLING 2025 Enhancing Chain of Thought Prompting in Large Language Models via Reasoning Patterns AAAI 2025 Enhancing Chain-of-Thought Reasoning via Neuron Activation Differential Analysis EMNLP 2025