2026

April

Rate-distortion optimization for transformer inference

February

Lossy common information in a learnable Gray-Wyner Network

2025

July

Rate-distortion theory in coding for machines and its applications

2024

August

Towards task-compatible compressible representations

2023

October

Base layer efficiency in scalable human-machine coding

August

Conditional and residual methods in scalable coding for humans and machines

2021

February

An architecture for accelerated large-scale inference of transformer-based language models

2020

February

Graph representation learning network via adaptive sampling

2019

November

DENS: A dataset for multi-class emotion analysis

Exploring multilingual syntactic sentence representations

January

Bayesian optimization package

2017

August

Unsupervised aspect extraction from free-form conversations

2014

April

Best practices for convolutional neural networks applied to object recognition in images

2013

December

A comparison of neural network training methods for text classification