Discovering Data Structures: Nearest Neighbor Search and Beyond

5 November 2024

Papers citing "Discovering Data Structures: Nearest Neighbor Search and Beyond"

11 / 11 papers shown

Title
Transformers learn in-context by gradient descent J. Oswald Eyvind Niklasson E. Randazzo João Sacramento A. Mordvintsev A. Zhmoginov Max Vladymyrov MLT 116 494 0 15 Dec 2022
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes Shivam Garg Dimitris Tsipras Percy Liang Gregory Valiant 141 513 0 01 Aug 2022
Properly learning decision trees in almost polynomial time Guy Blanc Jane Lange Mingda Qiao Li-Yang Tan 35 20 0 01 Sep 2021
Neural Execution of Graph Algorithms Petar Velickovic Rex Ying Matilde Padovano R. Hadsell Charles Blundell GNN 85 171 0 23 Oct 2019
Differentiable Ranks and Sorting using Optimal Transport Marco Cuturi O. Teboul Jean-Philippe Vert OT 84 158 0 28 May 2019
Stochastic Optimization of Sorting Networks via Continuous Relaxations Aditya Grover Eric Wang Aaron Zweig Stefano Ermon 68 174 0 21 Mar 2019
The Case for Learned Index Structures Tim Kraska Alex Beutel Ed H. Chi J. Dean N. Polyzotis 85 1,042 0 04 Dec 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 354 5,379 0 03 Nov 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 423 10,531 0 21 Jul 2016
Learning to Hash for Indexing Big Data - A Survey Jun Wang Wen Liu Sanjiv Kumar Shih-Fu Chang 80 512 0 17 Sep 2015
Neural Turing Machines Alex Graves Greg Wayne Ivo Danihelka 105 2,331 0 20 Oct 2014