TraDE: Transformers for Density Estimation

6 April 2020

Papers citing "TraDE: Transformers for Density Estimation"

10 / 10 papers shown

Title
Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens Zhepeng Cen Yao Liu Siliang Zeng Pratik Chaudhar Huzefa Rangwala George Karypis Rasool Fakoor SyDa AIFin 34 3 0 18 Oct 2024
Gradient-Free Structured Pruning with Unlabeled Data Azade Nova H. Dai Dale Schuurmans SyDa 32 20 0 07 Mar 2023
AQuaMaM: An Autoregressive, Quaternion Manifold Model for Rapidly Estimating Complex SO(3) Distributions Michael A. Alcorn 27 0 0 21 Jan 2023
Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions S. Bhattamishra Arkil Patel Varun Kanade Phil Blunsom 14 44 0 22 Nov 2022
Are Deep Sequence Classifiers Good at Non-Trivial Generalization? Francesco Cazzaro A. Quattoni X. Carreras MQ 26 0 0 24 Oct 2022
Sum-Product-Attention Networks: Leveraging Self-Attention in Probabilistic Circuits Zhongjie Yu Devendra Singh Dhami Kristian Kersting TPM 3DPC LRM 21 0 0 14 Sep 2021
Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation Chris Waites Rachel Cummings 19 15 0 25 Mar 2021
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation Rasool Fakoor Jonas W. Mueller Nick Erickson Pratik Chaudhari Alex Smola 26 54 0 25 Jun 2020
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 78 390 0 20 Oct 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 242 2,550 0 25 Jan 2016