LiDDA: Data Driven Attribution at LinkedIn

14 May 2025

Papers citing "LiDDA: Data Driven Attribution at LinkedIn"

8 / 8 papers shown

Title
CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution Di Yao Chang Gong Lei Zhang Sheng Chen Jingping Bi CML 19 11 0 21 Dec 2021
CAMTA: Causal Attention Model for Multi-touch Attribution Sachin Kumar Garima Gupta Ranjitha Prasad Arnab Chatterjee Lovekesh Vig Gautam M. Shroff CML HAI 22 10 0 21 Dec 2020
Attention is not not Explanation Sarah Wiegreffe Yuval Pinter XAI AAML FAtt 118 909 0 13 Aug 2019
On Identifiability in Transformers Gino Brunner Yang Liu Damian Pascual Oliver Richter Massimiliano Ciaramita Roger Wattenhofer ViT 63 188 0 12 Aug 2019
Attention is not Explanation Sarthak Jain Byron C. Wallace FAtt 128 1,323 0 26 Feb 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.7K 94,729 0 11 Oct 2018
Deep Neural Net with Attention for Multi-channel Multi-touch Attribution Ning Li Sai Kumar Arava Chen Dong Zhenyu Yan Abhishek Pani CML 26 31 0 06 Sep 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 672 131,414 0 12 Jun 2017