Media Summary: Yuankai Luo, Beihang University GeneticFlow. We introduce GeneticFlow (GF), a suite of scholar-centric graph representations ... Jiarui Zhang, USC/ISI In this video, Jiarui introduces the paper focusing on the evaluation of language models in situational ... Tianxiang Zhao, the Pennsylvania State University Imitation learning requires a large number of expert demonstrations to learn ...

Kdd 2023 Impact Oriented Contextual - Detailed Analysis & Overview

Yuankai Luo, Beihang University GeneticFlow. We introduce GeneticFlow (GF), a suite of scholar-centric graph representations ... Jiarui Zhang, USC/ISI In this video, Jiarui introduces the paper focusing on the evaluation of language models in situational ... Tianxiang Zhao, the Pennsylvania State University Imitation learning requires a large number of expert demonstrations to learn ... Ziliang Zhao, Renmin University of China This is a promotion video for the paper rtfp1041 "Improving Search Clarification with ... Zhiyuan Peng, Santa Clara University This is a brief introduction to our paper "Entity-aware of Mulit-task Learning for Query ... Tiantian Feng, University of Southern California Federated Learning is a popular privacy-enhancing learning algorithm that ...

Xiang Rong Sheng, Alibaba Group We propose JRC that can Jointly optimize the Ranking and Calibration abilities. JRC improves ... Jiaqi Zhai - Intro/promotional video for the paper Neural Retrieval on Accelerators, to appear in Liyao Jiang, University of Alberta Online ads are important in e-commerce sites, social media platforms, and search engines.

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KDD 2023 - Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphs
KDD 2023 - How to robustly detect failures with 3 types of telemetry data?
KDD 2023 - A Study of Situational Reasoning for Traffic Understanding
KDD 2023 - Skill Discovery for Learning from Imperfect Demonstration
KDD 2023 - Improving Search Clarification with Structured Information Extracted from Search Results
KDD 2023 - Learning to Relate to Previous Turns in Conversational Search
KDD 2023 - Entity-aware of Mulit-task Learning for Query Understanding at Walmart
KDD 2023 - Serverless Federated AUPRC Optimization Multi-Party Collaborative Imbalanced Data Mining
KDD 2023 - FedMultimodal: A Benchmark for Multimodal Federated Learning
KDD 2023 - Towards Fair Disentangled Online Learning for Changing Environments
KDD 2023 - Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model
KDD 2023 - Revisiting Neural Retrieval on Accelerators
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KDD 2023 - Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphs

KDD 2023 - Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphs

Yuankai Luo, Beihang University GeneticFlow. We introduce GeneticFlow (GF), a suite of scholar-centric graph representations ...

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 - 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 - Skill Discovery for Learning from Imperfect Demonstration

KDD 2023 - Skill Discovery for Learning from Imperfect Demonstration

Tianxiang Zhao, the Pennsylvania State University Imitation learning requires a large number of expert demonstrations to learn ...

KDD 2023 - Improving Search Clarification with Structured Information Extracted from Search Results

KDD 2023 - Improving Search Clarification with Structured Information Extracted from Search Results

Ziliang Zhao, Renmin University of China This is a promotion video for the paper rtfp1041 "Improving Search Clarification with ...

KDD 2023 - Learning to Relate to Previous Turns in Conversational Search

KDD 2023 - Learning to Relate to Previous Turns in Conversational Search

Fengran Mo, University of Montreal.

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 - Serverless Federated AUPRC Optimization Multi-Party Collaborative Imbalanced Data Mining

KDD 2023 - Serverless Federated AUPRC Optimization Multi-Party Collaborative Imbalanced Data Mining

Xidong Wu, University of Pittsburgh.

KDD 2023 - FedMultimodal: A Benchmark for Multimodal Federated Learning

KDD 2023 - FedMultimodal: A Benchmark for Multimodal Federated Learning

Tiantian Feng, University of Southern California Federated Learning is a popular privacy-enhancing learning algorithm that ...

KDD 2023 - Towards Fair Disentangled Online Learning for Changing Environments

KDD 2023 - Towards Fair Disentangled Online Learning for Changing Environments

Chen Zhao, Baylor 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 - Revisiting Neural Retrieval on Accelerators

KDD 2023 - Revisiting Neural Retrieval on Accelerators

Jiaqi Zhai - Intro/promotional video for the paper Neural Retrieval on Accelerators, to appear in

KDD 2023 - AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness

KDD 2023 - AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness

Liyao Jiang, University of Alberta Online ads are important in e-commerce sites, social media platforms, and search engines.