Media Summary: Jiayung Zhang, University of California, San Diego. Zilong Wang, University of California, San Diego - Presentation video (short version) for Tianxiang Zhao, the Pennsylvania State University Imitation learning requires a large number of expert demonstrations to learn ...

Kdd 2023 Navigating Alignment For - Detailed Analysis & Overview

Jiayung Zhang, University of California, San Diego. Zilong Wang, University of California, San Diego - Presentation video (short version) for Tianxiang Zhao, the Pennsylvania State University Imitation learning requires a large number of expert demonstrations to learn ... 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 ... Juncheng Yang, School of Computer Science, Wuhan University Current SSL methods focus on the study of an ideal setting ...

Jiawen Zhang, The Hong Kong University of Science and Technology (Guangzhou) Ziliang Zhao, Renmin University of China This is a promotion video for the paper rtfp1041 "Improving Search Clarification with ... Dongjie Wang, University of Central Florida Step into the future of system failure recovery with Dongjie Wang in this video ... Runlong Yu, University of Science and Technology of China Presentation video - short version Predicting Click-Through Rates for ... Huizhao Wang, Hikvision Research Institute Considering that each node has its own characteristics, we believe graph structure ... Zhankui He, University of California, San Diego.

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KDD 2023 - Navigating Alignment for Non-identical Client Class Sets
KDD 2023 - Discovering Dynamic Causal Space for DAG Structure Learning
KDD 2023 - Learning to Relate to Previous Turns in Conversational Search
KDD 2023 - VRDU: A Benchmark for Visually-rich Document Understanding
KDD 2023 - Skill Discovery for Learning from Imperfect Demonstration
KDD 2023 - A Look into Causal Effects under Entangled Treatment in Graphs
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 - Graph-enhanced General Table Pre-training with Alternate Attention Network
KDD 2023 - MAPLE: Semi-Supervised Learning with Multi-Alignment and Pseudo-Learning
KDD 2023 - Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series
KDD 2023 - Improving Search Clarification with Structured Information Extracted from Search Results
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