Media Summary: Yiqiao Jin - Code & Data: Arxiv: Lab: ... Lutz Oettershagen, KTH Royal Institute of Technology. Xiang Rong Sheng, Alibaba Group We propose JRC that can Jointly optimize the Ranking and Calibration abilities. JRC improves ...

Kdd 2023 Lightpath Lightweight And - Detailed Analysis & Overview

Yiqiao Jin - Code & Data: Arxiv: Lab: ... Lutz Oettershagen, KTH Royal Institute of Technology. Xiang Rong Sheng, Alibaba Group We propose JRC that can Jointly optimize the Ranking and Calibration abilities. JRC improves ... Jinhua Zhu, University of Science and Technology of China. Lorenzo Perini, KU Leuven Nowadays, sustainable energy is becoming more and more important. Wind turbines can produce ... Zhiyuan Peng, Santa Clara University This is a brief introduction to our paper "Entity-aware of Mulit-task Learning for Query ...

Jianghao Lin, Shanghai Jiao Tong University We propose two model-agnostic pretraining algorithms that achieve SOTA ...

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KDD 2023 - LightPath: Lightweight and Scalable Path Representation Learning
KDD 2023 Predicting Information Pathways Across Online Communities
KDD 2023 - Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering
KDD 2023 - A Higher-Order Temporal H-Index for Evolving Networks
KDD 2023 - Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model
KDD 2023 - Dual-view Molecular Pre-training
KDD 2023 - Learning from positive and unlabeled multi-instance bags in anomaly detection
KDD 2023 - Entity-aware of Mulit-task Learning for Query Understanding at Walmart
KDD 2023 - MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction
LightPath Technologies - The eyes for the next generation of global defense
KDD 2023 - Generative Flow Network for Listwise Recommendation
KDD 2023 - Learning for Counterfactual Fairness from Observational Data
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KDD 2023 - LightPath: Lightweight and Scalable Path Representation Learning

KDD 2023 - LightPath: Lightweight and Scalable Path Representation Learning

Sean Bin Yang, Aalborg University.

KDD 2023 Predicting Information Pathways Across Online Communities

KDD 2023 Predicting Information Pathways Across Online Communities

Yiqiao Jin - Code & Data: https://github.com/claws-lab/INPAC Arxiv: https://arxiv.org/abs/2306.02259 Lab: ...

KDD 2023 - Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering

KDD 2023 - Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering

Yan Wen, Tsinghua University.

KDD 2023 - A Higher-Order Temporal H-Index for Evolving Networks

KDD 2023 - A Higher-Order Temporal H-Index for Evolving Networks

Lutz Oettershagen, KTH Royal Institute of Technology.

KDD 2023 - Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model

KDD 2023 - Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model

Xiang Rong Sheng, Alibaba Group We propose JRC that can Jointly optimize the Ranking and Calibration abilities. JRC improves ...

KDD 2023 - Dual-view Molecular Pre-training

KDD 2023 - Dual-view Molecular Pre-training

Jinhua Zhu, University of Science and Technology of China.

KDD 2023 - Learning from positive and unlabeled multi-instance bags in anomaly detection

KDD 2023 - Learning from positive and unlabeled multi-instance bags in anomaly detection

Lorenzo Perini, KU Leuven Nowadays, sustainable energy is becoming more and more important. Wind turbines can produce ...

KDD 2023 - Entity-aware of Mulit-task Learning for Query Understanding at Walmart

KDD 2023 - Entity-aware of Mulit-task Learning for Query Understanding at Walmart

Zhiyuan Peng, Santa Clara University This is a brief introduction to our paper "Entity-aware of Mulit-task Learning for Query ...

KDD 2023 - MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction

KDD 2023 - MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction

Jianghao Lin, Shanghai Jiao Tong University We propose two model-agnostic pretraining algorithms that achieve SOTA ...

LightPath Technologies - The eyes for the next generation of global defense

LightPath Technologies - The eyes for the next generation of global defense

LightPath

KDD 2023 - Generative Flow Network for Listwise Recommendation

KDD 2023 - Generative Flow Network for Listwise Recommendation

Shuchang Liu, Kuaishou Technology.

KDD 2023 - Learning for Counterfactual Fairness from Observational Data

KDD 2023 - Learning for Counterfactual Fairness from Observational Data

Jing Ma, University of Virginia.

KDD 2023 - Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering

KDD 2023 - Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering

Anna Beer, Aarhus University.