v1v2 (latest)

Optimizing Context-Enhanced Relational Joins

3 December 2023

Papers citing "Optimizing Context-Enhanced Relational Joins"

22 / 22 papers shown

Title
Efficient Data Access Paths for Mixed Vector-Relational Search Viktor Sanca Anastasia Ailamaki 44 0 0 23 Mar 2024
Analytical Engines With Context-Rich Processing: Towards Efficient Next-Generation Analytics Viktor Sanca Anastasia Ailamaki 107 4 0 14 Dec 2022
The Tensor Data Platform: Towards an AI-centric Database System Apurva Gandhi Yuki Asada Victor Fu Advitya Gemawat Lihao Zhang Rathijit Sen Carlo Curino Jesús Camacho-Rodríguez Matteo Interlandi 48 17 0 04 Nov 2022
Query Processing on Tensor Computation Runtimes Dong He Supun Nakandala Dalitso Banda Rathijit Sen Karla Saur Kwanghyun Park Carlo Curino Jesús Camacho-Rodríguez Konstantinos Karanasos Matteo Interlandi 123 37 0 03 Mar 2022
Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction Benjamin Hilprecht Carsten Binnig AI4TS 38 60 0 03 Jan 2022
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 889 42,463 0 28 May 2020
PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition Qiuqiang Kong Yin Cao Turab Iqbal Yuxuan Wang Wenwu Wang Mark D. Plumbley VLM SSL 199 1,084 0 21 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 553 42,639 0 03 Dec 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 488 20,342 0 23 Oct 2019
Misspelling Oblivious Word Embeddings Bora Edizel Aleksandra Piktus Piotr Bojanowski Rui A. Ferreira Edouard Grave Fabrizio Silvestri 64 64 0 23 May 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,229 0 11 Oct 2018
When and Why are Pre-trained Word Embeddings Useful for Neural Machine Translation? Ye Qi Devendra Singh Sachan Matthieu Felix Sarguna Padmanabhan Graham Neubig 102 344 0 17 Apr 2018
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba Jizhe Wang Pipei Huang Huan Zhao Zhibo Zhang Binqiang Zhao Lee 63 500 0 06 Mar 2018
The Case for Learned Index Structures Tim Kraska Alex Beutel Ed H. Chi J. Dean N. Polyzotis 93 1,046 0 04 Dec 2017
DocTag2Vec: An Embedding Based Multi-label Learning Approach for Document Tagging Sheng Chen Akshay Soni Aasish Pappu Yashar Mehdad VLM 3DV 60 32 0 14 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 803 132,454 0 12 Jun 2017
Billion-scale similarity search with GPUs Jeff Johnson Matthijs Douze Hervé Jégou 257 3,741 0 28 Feb 2017
Enriching Word Vectors with Subword Information Piotr Bojanowski Edouard Grave Armand Joulin Tomas Mikolov NAI SSL VLM 232 9,986 0 15 Jul 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 433 18,361 0 27 May 2016
Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs Yury Malkov Dmitry A. Yashunin AI4TS 143 1,481 0 30 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,510 0 10 Dec 2015
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 693 31,553 0 16 Jan 2013