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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)

Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts ICCV 2025 Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP AAAI 2025 Toward Optimal LLM Alignments Using Two-Player Games EMNLP 2025 Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models IJCAI 2025 Towards a 3D Transfer-based Black-box Attack via Critical Feature Guidance ICCV 2025 Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism AAAI 2025 Towards Achieving Concept Completeness for Textual Concept Bottleneck Models EMNLP 2025 Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans AAAI 2025 Towards Adversarially Robust Dataset Distillation by Curvature Regularization AAAI 2025 Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment ICCV 2025 Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders ICLR 2025 Towards a Holistic and Automated Evaluation Framework for Multi-Level Comprehension of LLMs in Book-Length Contexts EMNLP 2025 Towards an Integrated Methodology of Dating Biblical Texts: The Case of the Book of Jeremiah NAACL 2025 Towards a Principled Evaluation of Knowledge Editors ACL 2025 Towards Attribution of Generators and Emotional Manipulation in Cross-Lingual Synthetic Speech using Geometric Learning IJCNLP 2025 Towards a Unified Framework of Clustering-based Anomaly Detection ICML 2025 Towards a Universal 3D Medical Multi-modality Generalization via Learning Personalized Invariant Representation ICCV 2025 Towards Automated Error Discovery: A Study in Conversational AI EMNLP 2025 Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems IJCAI 2025 Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards CVPR 2025 Towards Better Chain-of-Thought: A Reflection on Effectiveness and Faithfulness ACL 2025 Towards Better Evaluation for Generated Patent Claims ACL 2025 Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models NAACL 2025 Towards Better Open-Ended Text Generation: A Multicriteria Evaluation Framework ACL 2025 Towards Better Robot Learners: Leveraging Implicit and Explicit Human Feedback Together in Human Robot Interactions AAAI 2025