Evgenii Zheltonozhskii

Orcid: 0000-0002-5400-9321

According to our database1, Evgenii Zheltonozhskii authored at least 26 papers between 2017 and 2024.

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Bibliography

2024
Semi-Supervised Semantic Segmentation via Marginal Contextual Information.
Trans. Mach. Learn. Res., 2024

StarCoder 2 and The Stack v2: The Next Generation.
CoRR, 2024

2023
Adversarial robustness via noise injection in smoothed models.
Appl. Intell., April, 2023

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
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Trans. Mach. Learn. Res., 2023

StarCoder: may the source be with you!
Trans. Mach. Learn. Res., 2023

2022
GoToNet: Fast Monocular Scene Exposure and Exploration.
J. Intell. Robotic Syst., 2022

Single-node attacks for fooling graph neural networks.
Neurocomputing, 2022

On Recoverability of Graph Neural Network Representations.
CoRR, 2022

Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

End-to-End Referring Video Object Segmentation with Multimodal Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Weakly Supervised Discovery of Semantic Attributes.
Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021
Loss aware post-training quantization.
Mach. Learn., 2021

CAT: Compression-Aware Training for bandwidth reduction.
J. Mach. Learn. Res., 2021

Intersection Regularization for Extracting Semantic Attributes.
CoRR, 2021

2020
Single-Node Attack for Fooling Graph Neural Networks.
CoRR, 2020

Self-Supervised Learning for Large-Scale Unsupervised Image Clustering.
CoRR, 2020

HCM: Hardware-Aware Complexity Metric for Neural Network Architectures.
CoRR, 2020

Colored Noise Injection for Training Adversarially Robust Neural Networks.
CoRR, 2020

Feature Map Transform Coding for Energy-Efficient CNN Inference.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks.
ACM Trans. Comput. Syst., 2019

Smoothed Inference for Adversarially-Trained Models.
CoRR, 2019

Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks.
CoRR, 2019

2018
NICE: Noise Injection and Clamping Estimation for Neural Network Quantization.
CoRR, 2018

UNIQ: Uniform Noise Injection for the Quantization of Neural Networks.
CoRR, 2018

Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

2017
Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform.
CoRR, 2017


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