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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)

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning ICCV 2025 ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams CVPR 2025 Responding to Promises: No-regret learning against followers with memory L4DC 2025 Response Wide Shut? Surprising Observations in Basic Vision Language Model Capabilities ACL 2025 RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability AAAI 2025 Restyling Unsupervised Concept Based Interpretable Networks with Generative Models ICLR 2025 ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning EMNLP 2025 Retaining and Enhancing Pre-Trained Knowledge in Vision-Language Models with Prompt Ensembling WACV 2025 Retaining Knowledge and Enhancing Long-Text Representations in CLIP through Dual-Teacher Distillation CVPR 2025 Rethinking Audio-Visual Adversarial Vulnerability from Temporal and Modality Perspectives ICLR 2025 Rethinking Backdoor Detection Evaluation for Language Models EMNLP 2025 Rethinking Chain-of-Thought from the Perspective of Self-Training ICML 2025 Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL ICML 2025 Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective IJCAI 2025 Rethinking Cross-Subject Data Splitting for Brain-to-Text Decoding EMNLP 2025 Rethinking DPO-style Diffusion Aligning Frameworks ICCV 2025 Rethinking DPO: The Role of Rejected Responses in Preference Misalignment EMNLP 2025 Rethinking End-to-End 2D to 3D Scene Segmentation in Gaussian Splatting CVPR 2025 Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach CVPR 2025 Rethinking Evaluation Metrics for Grammatical Error Correction: Why Use a Different Evaluation Process than Human? ACL 2025 Rethinking Few Shot CLIP Benchmarks: A Critical Analysis in the Inductive Setting ICCV 2025 Rethinking Full Finetuning from Pretraining Checkpoints in Active Learning for African Languages ACL 2025 Rethinking Graph Contrastive Learning Through Relative Similarity Preservation IJCAI 2025 Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off ICLR 2025 Rethinking KenLM: Good and Bad Model Ensembles for Efficient Text Quality Filtering in Large Web Corpora ACL 2025