Media Summary: Martin Pavlovski - Short promotional video for the paper ?Extreme Jiacheng Li, University of California, San Diego. Tianxiang Zhao, the Pennsylvania State University Imitation learning requires a large number of expert demonstrations to learn ...

Kdd 2023 Multi Factor Sequential - Detailed Analysis & Overview

Martin Pavlovski - Short promotional video for the paper ?Extreme Jiacheng Li, University of California, San Diego. Tianxiang Zhao, the Pennsylvania State University Imitation learning requires a large number of expert demonstrations to learn ... Pengfei Luo, University of Science and Technology of China In this promotional video, we provide a brief overview of the ... Ed Chi, Google DeepMind Deep learning is a shock to our field in many ways, yet still many of us were surprised at the incredible ... Yunjia Xi, Shanghai Jiao Tong University.

Runlong Yu, University of Science and Technology of China Presentation video - short version Predicting Click-Through Rates for ... Zhiyuan Peng, Santa Clara University This is a brief introduction to our paper "Entity-aware of Mulit-task Learning for Query ... Shuo He, University of Electronic Science and Technology of China This is a presenting video for our paper titled partial-label ... Rishi Advani, University of Illinois Chicago. Jianling Wang, Google Fresh uploads, especially those from less popular content providers, face a significant barrier to be picked ... Xiang Rong Sheng, Alibaba Group We propose JRC that can Jointly optimize the Ranking and Calibration abilities. JRC improves ...

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

Photo Gallery

KDD 2023 - Multi-factor Sequential Re-ranking with Perception-Aware Diversification
KDD 2023 - Extreme Multi-Label Classification for Ad Targeting using Factorization Machines
KDD 2023 - Text Is All You Need: Learning Language Representations for Sequential Recommendation
KDD 2023 - Skill Discovery for Learning from Imperfect Demonstration
KDD 2023 - A Sequence-to-Sequence Approach with Mixed Pointers to Topic Segmentation
KDD 2023 - Multi-Grained Multimodal Interaction Network for Entity Linking
KDD 2023 - The Large Language Model Revolution: Implications from Chatbots and Tool-use to Reasoning
KDD 2023 - On-device Integrated Re-ranking with Heterogeneous Behavior Modeling
KDD 2023 - Densest Diverse Subgraphs: How to Plan a Successful Cocktail Party with Diversity
KDD 2023 - How to robustly detect failures with 3 types of telemetry data?
KDD 2023 - Cognitive Evolutionary Search to Select Feature Interactions
KDD 2023 - Opening Session
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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

KDD 2023 - Extreme Multi-Label Classification for Ad Targeting using Factorization Machines

KDD 2023 - Extreme Multi-Label Classification for Ad Targeting using Factorization Machines

Martin Pavlovski - Short promotional video for the paper ?Extreme

Sponsored
KDD 2023 - Text Is All You Need: Learning Language Representations for Sequential Recommendation

KDD 2023 - Text Is All You Need: Learning Language Representations for Sequential Recommendation

Jiacheng Li, University of California, San Diego.

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 - A Sequence-to-Sequence Approach with Mixed Pointers to Topic Segmentation

KDD 2023 - A Sequence-to-Sequence Approach with Mixed Pointers to Topic Segmentation

Jinxiong Xia, Peking University.

Sponsored
KDD 2023 - Multi-Grained Multimodal Interaction Network for Entity Linking

KDD 2023 - Multi-Grained Multimodal Interaction Network for Entity Linking

Pengfei Luo, University of Science and Technology of China In this promotional video, we provide a brief overview of the ...

KDD 2023 - The Large Language Model Revolution: Implications from Chatbots and Tool-use to Reasoning

KDD 2023 - The Large Language Model Revolution: Implications from Chatbots and Tool-use to Reasoning

Ed Chi, Google DeepMind Deep learning is a shock to our field in many ways, yet still many of us were surprised at the incredible ...

KDD 2023 - On-device Integrated Re-ranking with Heterogeneous Behavior Modeling

KDD 2023 - On-device Integrated Re-ranking with Heterogeneous Behavior Modeling

Yunjia Xi, Shanghai Jiao Tong University.

KDD 2023 - Densest Diverse Subgraphs: How to Plan a Successful Cocktail Party with Diversity

KDD 2023 - Densest Diverse Subgraphs: How to Plan a Successful Cocktail Party with Diversity

Atsushi Miyauchi, CENTAI Institute.

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 - 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 - Opening Session

KDD 2023 - Opening Session

Opening Ceremony.

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 - Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples

KDD 2023 - Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples

Shuo He, University of Electronic Science and Technology of China This is a presenting video for our paper titled partial-label ...

KDD 2023 - Maximizing Neutrality in News Ordering

KDD 2023 - Maximizing Neutrality in News Ordering

Rishi Advani, University of Illinois Chicago.

KDD 2023 - Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation

KDD 2023 - Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation

Jianling Wang, Google Fresh uploads, especially those from less popular content providers, face a significant barrier to be picked ...

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 - 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 ...

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