Anderson de Andrade

20 papers B 1C 1Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Lossy Common Information in a Learnable Gray-Wyner Network.
CoRR
Anderson de Andrade, Alon Harell, Ivan V. Bajic
2026 J jnl
Rate-Distortion Optimization for Transformer Inference.
CoRR
Anderson de Andrade, Alon Harell, Ivan V. Bajic
2025 J jnl
Rate-Distortion Theory in Coding for Machines and Its Applications.
IEEE Trans. Pattern Anal. Mach. Intell.
Alon Harell, Yalda Foroutan, Nilesh A. Ahuja, Parual Datta, Bhavya Kanzariya, V. Srinivasa Somayazulu, Omesh Tickoo, Anderson de Andrade, Ivan V. Bajic
2024 — conf
Towards Task-Compatible Compressible Representations.
ICME Workshops
Anderson de Andrade, Ivan V. Bajic
2024 J jnl
Towards Task-Compatible Compressible Representations.
CoRR
Anderson de Andrade, Ivan V. Bajic
2023 B conf
Base Layer Efficiency in Scalable Human-Machine Coding.
ICIP
Yalda Foroutan, Alon Harell, Anderson de Andrade, Ivan V. Bajic
2023 J jnl
Base Layer Efficiency in Scalable Human-Machine Coding.
CoRR
Yalda Foroutan, Alon Harell, Anderson de Andrade, Ivan V. Bajic
2023 — conf
Conditional and Residual Methods in Scalable Coding for Humans and Machines.
ICME Workshops
Anderson de Andrade, Alon Harell, Yalda Foroutan, Ivan V. Bajic
2023 J jnl
Conditional and Residual Methods in Scalable Coding for Humans and Machines.
CoRR
Anderson de Andrade, Alon Harell, Yalda Foroutan, Ivan V. Bajic
2023 J jnl
Rate-Distortion Theory in Coding for Machines and its Application.
CoRR
Alon Harell, Yalda Foroutan, Nilesh A. Ahuja, Parual Datta, Bhavya Kanzariya, V. Srinivasa Somayazulu, Omesh Tickoo, Anderson de Andrade, Ivan V. Bajic
2022 C conf
Rate-Distortion in Image Coding for Machines.
PCS
Alon Harell, Anderson de Andrade, Ivan V. Bajic
2022 J jnl
Rate-Distortion in Image Coding for Machines.
CoRR
Alon Harell, Anderson de Andrade, Ivan V. Bajic
2021 — conf
An Architecture for Accelerated Large-Scale Inference of Transformer-Based Language Models.
NAACL-HLT (Industry Papers)
Amir Ganiev, Colton Chapin, Anderson de Andrade, Chen Liu
2020 J jnl
Graph Representation Learning Network via Adaptive Sampling.
CoRR
Anderson de Andrade, Chen Liu
2019 J jnl
A Comparison of Neural Network Training Methods for Text Classification.
CoRR
Anderson de Andrade
2019 J jnl
Best Practices for Convolutional Neural Networks Applied to Object Recognition in Images.
CoRR
Anderson de Andrade
2019 — conf
DENS: A Dataset for Multi-class Emotion Analysis.
EMNLP/IJCNLP (1)
Chen Liu, Muhammad Osama, Anderson de Andrade
2019 J jnl
DENS: A Dataset for Multi-class Emotion Analysis.
CoRR
Chen Liu, Muhammad Osama, Anderson de Andrade
2019 — conf
Exploring Multilingual Syntactic Sentence Representations.
W-NUT@EMNLP
Chen Liu, Anderson de Andrade, Muhammad Osama
2019 J jnl
Exploring Multilingual Syntactic Sentence Representations.
CoRR
Chen Liu, Anderson de Andrade, Muhammad Osama