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data transformation

15 papers

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large language model (4) convex optimization (2) data preprocessing (2) representation learning (2) direct preference optimization (1) preference alignment (1) data integration (1) multimodal learning (1) language model alignment (1) llm evaluation (1)

Papers

Empowering Tabular Data Preparation with Language Models: Why and How? ACL 2026 Generative AI-Driven Data Transformation for Enhanced Machine Learning Performance (Student Abstract) AAAI 2026 AnoLLM: Large Language Models for Tabular Anomaly Detection ICLR 2025 Beyond Online Sampling: Bridging Offline-to-Online Alignment via Dynamic Data Transformation for LLMs EMNLP 2025 Enhancing Implicit Neural Representations via Symmetric Power Transformation AAAI 2025 In Search of a Data Transformation That Accelerates Neural Field Training CVPR 2024 MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective ICML 2024 Towards Robust Evaluation of Unlearning in LLMs via Data Transformations EMNLP 2024 Learning Symmetric Embeddings for Equivariant World Models ICML 2022 ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation ICML 2021 MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space ICLR 2021 Understanding the Generalization Benefit of Model Invariance from a Data Perspective NeurIPS 2021 Zeph: Cryptographic Enforcement of End-to-End Data Privacy OSDI 2021 Optimized Pre-Processing for Discrimination Prevention NeurIPS 2017 Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm NeurIPS 2006