Media Summary: Jiayung Zhang, University of California, San Diego. Zhiyuan Peng, Santa Clara University This is a brief introduction to our paper "Entity-aware of Mulit-task Learning for Query ... Jiarui Zhang, USC/ISI In this video, Jiarui introduces the paper focusing on the evaluation of language models in situational ...

Kdd 2023 Navigating Alignment For - Detailed Analysis & Overview

Jiayung Zhang, University of California, San Diego. Zhiyuan Peng, Santa Clara University This is a brief introduction to our paper "Entity-aware of Mulit-task Learning for Query ... Jiarui Zhang, USC/ISI In this video, Jiarui introduces the paper focusing on the evaluation of language models in situational ... Runlong Yu, University of Science and Technology of China Presentation video - short version Predicting Click-Through Rates for ... Xiang Rong Sheng, Alibaba Group We propose JRC that can Jointly optimize the Ranking and Calibration abilities. JRC improves ... Yiqiao Jin - Code & Data: Arxiv: Lab: ...

Chun How Tan, Airbnb Inc. Introducing Journey Ranker - a modular and extensible model architecture! Journey Ranker can help ... Jure Leskovec, Stanford University Innovation Award Talk. Kiran Tomlinson, Cornell University - Workplace Recommendation with Temporal Network Objectives. Karan Samel, Georgia Tech End-to-end query term weighting problem definition, method, and results summary. Yue Xu, Alibaba Group Multi-factor Sequential Re-ranking with Perception-Aware Diversification.

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KDD 2023 - Navigating Alignment for Non-identical Client Class Sets
KDD 2023 - Entity-aware of Mulit-task Learning for Query Understanding at Walmart
KDD 2023 - A Study of Situational Reasoning for Traffic Understanding
KDD 2023 - Cognitive Evolutionary Search to Select Feature Interactions
KDD 2023 - How to robustly detect failures with 3 types of telemetry data?
KDD 2023 - Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model
KDD 2023 Predicting Information Pathways Across Online Communities
KDD 2023 - Optimizing Airbnb Search Journey with Multi-task Learning
KDD 2023 - Graphs, Databases and Machine Learning
KDD 2023 - Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering
KDD 2023 - Workplace Recommendation with Temporal Network Objectives
KDD 2023 - End-to-End Query Term Weighting
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KDD 2023 - Navigating Alignment for Non-identical Client Class Sets

KDD 2023 - Navigating Alignment for Non-identical Client Class Sets

Jiayung Zhang, University of California, San Diego.

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 - A Study of Situational Reasoning for Traffic Understanding

KDD 2023 - A Study of Situational Reasoning for Traffic Understanding

Jiarui Zhang, USC/ISI In this video, Jiarui introduces the paper focusing on the evaluation of language models in situational ...

KDD 2023 - Cognitive Evolutionary Search to Select Feature Interactions

KDD 2023 - Cognitive Evolutionary Search to Select Feature Interactions

Runlong Yu, University of Science and Technology of China Presentation video - short version Predicting Click-Through Rates for ...

KDD 2023 - How to robustly detect failures with 3 types of telemetry data?

KDD 2023 - How to robustly detect failures with 3 types of telemetry data?

Chenyu Zhao, Nankai University.

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 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 - Optimizing Airbnb Search Journey with Multi-task Learning

KDD 2023 - Optimizing Airbnb Search Journey with Multi-task Learning

Chun How Tan, Airbnb Inc. Introducing Journey Ranker - a modular and extensible model architecture! Journey Ranker can help ...

KDD 2023 - Graphs, Databases and Machine Learning

KDD 2023 - Graphs, Databases and Machine Learning

Jure Leskovec, Stanford University Innovation Award Talk.

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.

KDD 2023 - Workplace Recommendation with Temporal Network Objectives

KDD 2023 - Workplace Recommendation with Temporal Network Objectives

Kiran Tomlinson, Cornell University - Workplace Recommendation with Temporal Network Objectives.

KDD 2023 - End-to-End Query Term Weighting

KDD 2023 - End-to-End Query Term Weighting

Karan Samel, Georgia Tech End-to-end query term weighting problem definition, method, and results summary.

KDD 2023 - Multi-factor Sequential Re-ranking with Perception-Aware Diversification

KDD 2023 - Multi-factor Sequential Re-ranking with Perception-Aware Diversification

Yue Xu, Alibaba Group Multi-factor Sequential Re-ranking with Perception-Aware Diversification.