Image de couverture de livre

Towards Cross-Table Masked Pretraining for Web Data Mining

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ye, Chao, Lu, Guoshan, Wang, Haobo, Li, Liyao, Wu, Sai, Chen, Gang, Zhao, Junbo
Format:	Preprint
Publié:	2023
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Data Contamination Calibration for Black-box LLMs
par: Ye, Wentao, et autres
Publié: (2024)

An Invariant Latent Space Perspective on Language Model Inversion
par: Ye, Wentao, et autres
Publié: (2025)

Towards Robust Incremental Learning under Ambiguous Supervision
par: Wang, Rui, et autres
Publié: (2025)

SPA++: Generalized Graph Spectral Alignment for Versatile Domain Adaptation
par: Xiao, Zhiqing, et autres
Publié: (2025)

TableGPT-R1: Advancing Tabular Reasoning Through Reinforcement Learning
par: Yang, Saisai, et autres
Publié: (2025)

Merge-of-Thought Distillation
par: Shen, Zhanming, et autres
Publié: (2025)

Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation
par: Xia, Mingxuan, et autres
Publié: (2025)

From Parameters to Data: A Task-Parameter-Guided Fine-Tuning Pipeline for Efficient LLM Alignment
par: Chen, Hao, et autres
Publié: (2026)

Pre-Trained Model Recommendation for Downstream Fine-tuning
par: Bai, Jiameng, et autres
Publié: (2024)

TableGPT2: A Large Multimodal Model with Tabular Data Integration
par: Su, Aofeng, et autres
Publié: (2024)

Toward Real-World Table Agents: Capabilities, Workflows, and Design Principles for LLM-based Table Intelligence
par: Tian, Jiaming, et autres
Publié: (2025)

DailyMAE: Towards Pretraining Masked Autoencoders in One Day
par: Wu, Jiantao, et autres
Publié: (2024)

CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency
par: Shen, Zhanming, et autres
Publié: (2025)

FLoE: Fisher-Based Layer Selection for Efficient Sparse Adaptation of Low-Rank Experts
par: Wang, Xinyi, et autres
Publié: (2025)

Training-Trajectory-Aware Token Selection
par: Shen, Zhanming, et autres
Publié: (2026)

FLaG: Fine-Grained Latent Grouping for Hallucination Detection
par: Ye, Wentao, et autres
Publié: (2026)

Cross-Table Pretraining towards a Universal Function Space for Heterogeneous Tabular Data
par: Chen, Jintai, et autres
Publié: (2024)

Noise Masking Attacks and Defenses for Pretrained Speech Models
par: Jagielski, Matthew, et autres
Publié: (2024)

TapWeight: Reweighting Pretraining Objectives for Task-Adaptive Pretraining
par: Zhang, Ruiyi, et autres
Publié: (2024)

Harnessing Feature Resonance under Arbitrary Target Alignment for Out-of-Distribution Node Detection
par: Yang, Shenzhi, et autres
Publié: (2025)

KMLP: A Scalable Hybrid Architecture for Web-Scale Tabular Data Modeling
par: Zhang, Mingming, et autres
Publié: (2026)

Understanding and Enhancing Mask-Based Pretraining towards Universal Representations
par: Dong, Mingze, et autres
Publié: (2025)

Cross-Modal Reconstruction Pretraining for Ramp Flow Prediction at Highway Interchanges
par: Li, Yongchao, et autres
Publié: (2025)

TraPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning
par: Yang, Shenzhi, et autres
Publié: (2025)

Joint Masked Reconstruction and Contrastive Learning for Mining Interactions Between Proteins
par: Li, Jiang, et autres
Publié: (2025)

STEP: Scientific Time-Series Encoder Pretraining via Cross-Domain Distillation
par: Zhang, Chen, et autres
Publié: (2026)

Neuro-BERT: Rethinking Masked Autoencoding for Self-supervised Neurological Pretraining
par: Wu, Di, et autres
Publié: (2022)

Exploring Fairness in Educational Data Mining in the Context of the Right to be Forgotten
par: Qian, Wei, et autres
Publié: (2024)

Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective
par: Xiong, Haoyi, et autres
Publié: (2024)

Towards Privacy-Preserving and Heterogeneity-aware Split Federated Learning via Probabilistic Masking
par: Wang, Xingchen, et autres
Publié: (2025)

BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining
par: DatologyAI, et autres
Publié: (2025)

Generative Data Mining with Longtail-Guided Diffusion
par: Hayden, David S., et autres
Publié: (2025)

FastBUS: A Fast Bayesian Framework for Unified Weakly-Supervised Learning
par: Wang, Ziquan, et autres
Publié: (2026)

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning
par: Ishibashi, Yoichi, et autres
Publié: (2025)

All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining
par: Zhao, Haihong, et autres
Publié: (2024)

Urban In-Context Learning: Bridging Pretraining and Inference through Masked Diffusion for Urban Profiling
par: Zhang, Ruixing, et autres
Publié: (2025)

MaskTab: Scalable Masked Tabular Pretraining with Scaling Laws and Distillation for Industrial Classification
par: Zheng, Bo, et autres
Publié: (2026)

Robust Policy Expansion for Offline-to-Online RL under Diverse Data Corruption
par: He, Longxiang, et autres
Publié: (2025)

Towards Safer Pretraining: Analyzing and Filtering Harmful Content in Webscale datasets for Responsible LLMs
par: Mendu, Sai Krishna, et autres
Publié: (2025)

ML-DCN: Masked Low-Rank Deep Crossing Network Towards Scalable Ads Click-through Rate Prediction at Pinterest
par: Li, Jiacheng, et autres
Publié: (2026)