Compression Aware Certified Training | Paper Citation Record

Observation 8dbff4ee-4aa1-4b46-8168-256f72292d35 · outbound

This paper cites Artificial neural networks in medical diagnosis.Journal of Applied Biomedicine, 11(2), 2013.

Compression Aware Certified Training Artificial neural networks in medical diagnosis.Journal of Applied Biomedicine, 11(2), 2013

Reference 1

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Observation 1fceeb43-fbf5-4b23-b60a-1d3cd156bb12 · outbound

This paper cites Adversarial training and provable defenses: Bridging the gap.

Compression Aware Certified Training Adversarial training and provable defenses: Bridging the gap

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:56.786020Z

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Observation 61024892-dd9c-462c-af6e-1db9f9fc61df · outbound

This paper cites End to End Learning for Self-Driving Cars.

Compression Aware Certified Training End to End Learning for Self-Driving Cars

Reference 3

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Observation a930abda-0c80-4ced-b36c-13504c01d652 · outbound

This paper cites an unresolved cited work.

Compression Aware Certified Training Unresolved cited work

Reference 4

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Observation 1a1cc87e-e646-4342-9a23-15f6623f5e4a · outbound

This paper cites Scalable multi-modal learning for cross-link channel prediction in massive iot networks.

Compression Aware Certified Training Scalable multi-modal learning for cross-link channel prediction in massive iot networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:56.638712Z

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Observation 37859a84-cc22-4c8b-a418-b53a2ff1e2e7 · outbound

This paper cites PACT: Parameterized Clipping Activation for Quantized Neural Networks.

Compression Aware Certified Training PACT: Parameterized Clipping Activation for Quantized Neural Networks

Reference 6

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Observation b6c83db3-864b-42b5-8841-762ff48f7c76 · outbound

This paper cites Expressive Losses for Verified Robustness via Convex Combinations.

Compression Aware Certified Training Expressive Losses for Verified Robustness via Convex Combinations

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-07T01:07:51.617696Z

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Observation 2972a240-cb8d-48ee-b3a3-8b52e23d4b79 · outbound

This paper cites The mnist database of handwritten digit images for machine learning research.IEEE Signal Processing Magazine, 29(6):141–142, 2012.

Compression Aware Certified Training The mnist database of handwritten digit images for machine learning research.IEEE Signal Processing Magazine, 29(6):141–142, 2012

Reference 8

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Observation 1ea0df74-708e-4f02-bc7c-6357115444a3 · outbound

This paper cites Llm.int8(): 8-bit matrix multiplication for transformers at scale.

Compression Aware Certified Training Llm.int8(): 8-bit matrix multiplication for transformers at scale

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:56.505685Z

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Observation 8307382a-9527-4d6a-bbfc-f6b9999c0c6f · outbound

This paper cites Learned Step Size Quantization.

Compression Aware Certified Training Learned Step Size Quantization

Reference 10

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Observation 5db3acb5-7b16-43d5-8b67-0764ebedfbff · outbound

This paper cites Adversarial training and provable robustness: A tale of two objectives.

Compression Aware Certified Training Adversarial training and provable robustness: A tale of two objectives

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:56.390385Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fafcda9b-7cb5-4aae-8955-c3a293470bdb · outbound

This paper cites Exploring the performance of pruning methods in neural networks: An empirical study of the lottery ticket hypothesis, 2023.

Compression Aware Certified Training Exploring the performance of pruning methods in neural networks: An empirical study of the lottery ticket hypothesis, 2023

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:56.277309Z

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Observation 2787cfab-052b-4d85-bb78-20df99616188 · outbound

This paper cites Edge ai: Evaluation of model compression techniques for convolutional neural networks, 2024.

Compression Aware Certified Training Edge ai: Evaluation of model compression techniques for convolutional neural networks, 2024

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:56.140606Z

Source-reported events for the cited work

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Observation 31c124e2-1a66-44e9-9214-8efed28d338d · outbound

This paper cites The lottery ticket hypothesis: Finding sparse, trainable neural networks, 2019.

Compression Aware Certified Training The lottery ticket hypothesis: Finding sparse, trainable neural networks, 2019

Reference 14

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Source-reported events for the cited work

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Observation e32bdaec-34be-4b10-a25d-ea0a535f700a · outbound

This paper cites Sparsegpt: massive language models can be accurately pruned in one-shot.

Compression Aware Certified Training Sparsegpt: massive language models can be accurately pruned in one-shot

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T01:07:48.076930Z

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Observation e8e6502b-23ae-4bef-ad8d-1be2303be8ba · outbound

This paper cites Gptq: Accurate post-training quantization for generative pre-trained transformers, 2023.

Compression Aware Certified Training Gptq: Accurate post-training quantization for generative pre-trained transformers, 2023

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T01:07:48.240759Z

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Compression Aware Certified Training Unresolved cited work

Reference 17

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Observation 4c23f9d7-e37e-473e-9efb-db92716a07bf · outbound

This paper cites an unresolved cited work.

Compression Aware Certified Training Unresolved cited work

Reference 18

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Observation dd9892d5-db64-4bfd-bbda-cd493dbc4cf5 · outbound

This paper cites an unresolved cited work.

Compression Aware Certified Training Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-07T01:07:55.713296Z

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Observation 51f5810e-408c-4b05-8ce4-a72865667fc7 · outbound

This paper cites Learning sparse neural networks through mixture-distributed regularization.

Compression Aware Certified Training Learning sparse neural networks through mixture-distributed regularization

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:55.595722Z

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Observation 7bf6bcea-5749-4f89-ade0-a2267ba54951 · outbound

This paper cites Binarized neural networks.

Compression Aware Certified Training Binarized neural networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:55.481069Z

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Observation da9f940e-01b4-4ec9-852e-4de25c90acb2 · outbound

This paper cites Batch normalization: accelerating deep network training by reducing internal covariate shift.

Compression Aware Certified Training Batch normalization: accelerating deep network training by reducing internal covariate shift

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:55.341934Z

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Observation 9f4705e9-f9b6-433e-be56-214d25d9fe3c · outbound

This paper cites Quantization and training of neural networks for efficient integer-arithmetic-only inference.

Compression Aware Certified Training Quantization and training of neural networks for efficient integer-arithmetic-only inference

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:55.197228Z

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Observation 7bf42e1a-3a46-4c9b-b767-9e860ae2d316 · outbound

This paper cites Machine learning for medical diagnosis: history, state of the art and perspective.

Compression Aware Certified Training Machine learning for medical diagnosis: history, state of the art and perspective

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:55.015973Z

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Observation b570f332-c3d4-4887-a114-0e893d5cf843 · outbound

This paper cites Learning multiple layers of features from tiny images, 2009.

Compression Aware Certified Training Learning multiple layers of features from tiny images, 2009

Reference 25

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Observation 4c2f6e56-5a20-4044-b165-d8814e4b1dce · outbound

This paper cites Quantization-aware interval bound propagation for training certifiably robust quantized neural networks.

Compression Aware Certified Training Quantization-aware interval bound propagation for training certifiably robust quantized neural networks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:54.870237Z

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Observation 14f1d80a-8a32-45c9-a07f-29fb3956ab59 · outbound

This paper cites Denker, and Sara A.

Compression Aware Certified Training Denker, and Sara A

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:54.675391Z

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Observation 3a8383d8-518f-48a4-8bd0-0461af6cc5b6 · outbound

This paper cites Towards deep learning models resistant to adversarial attacks.

Compression Aware Certified Training Towards deep learning models resistant to adversarial attacks

Reference 28

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Source-reported events for the cited work

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Observation e2e51f4a-946c-4953-b158-ed5896da9f75 · outbound

This paper cites Taps: Connecting certified and adversarial training.arXiv e-prints, pages arXiv–2305, 2023.

Compression Aware Certified Training Taps: Connecting certified and adversarial training.arXiv e-prints, pages arXiv–2305, 2023

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:54.514349Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 561d85cb-0045-459a-acf3-2fc887fd853c · outbound

This paper cites Differentiable abstract interpretation for provably robust neural networks.

Compression Aware Certified Training Differentiable abstract interpretation for provably robust neural networks

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:54.359967Z

Source-reported events for the cited work

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Observation 29275073-228b-48ea-8726-6d1e778d3b8e · outbound

This paper cites Certified train- ing: Small boxes are all you need.

Compression Aware Certified Training Certified train- ing: Small boxes are all you need

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:54.204386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d0632675-fcd8-4174-b528-9d84757918c9 · outbound

This paper cites Metaheuristics for pruning convolutional neural networks: A comparative study.Expert Systems with Applications, 268:126326, 2025.

Compression Aware Certified Training Metaheuristics for pruning convolutional neural networks: A comparative study.Expert Systems with Applications, 268:126326, 2025

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:54.078118Z

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Observation 7cec503a-6a89-4725-8f1b-9df22b1e8d57 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.Advances in neural information processing systems, 32, 2019.

Compression Aware Certified Training Pytorch: An imperative style, high-performance deep learning library.Advances in neural information processing systems, 32, 2019

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T01:07:49.669859Z

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Observation c14b6fcc-8d21-4b77-ae3d-4e5eb797a326 · outbound

This paper cites Adversarial pruning: A survey and benchmark of pruning methods for adversarial robustness, 2024.

Compression Aware Certified Training Adversarial pruning: A survey and benchmark of pruning methods for adversarial robustness, 2024

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:53.925801Z

Source-reported events for the cited work

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Observation 79eeb17a-f149-475a-b0e6-167de10c0516 · outbound

This paper cites Xnor-net: Imagenet classification using binary convolutional neural networks.

Compression Aware Certified Training Xnor-net: Imagenet classification using binary convolutional neural networks

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:53.788009Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 424e8204-66bc-4212-9add-4ddf3630aab8 · outbound

This paper cites Hydra: Pruning adversarially robust neural networks.Advances in Neural Information Processing Systems, 33:19655–19666, 2020.

Compression Aware Certified Training Hydra: Pruning adversarially robust neural networks.Advances in Neural Information Processing Systems, 33:19655–19666, 2020

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:53.635330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4de2fe61-d537-4f13-a6a6-3b011fdc876c · outbound

This paper cites Uncertainty in machine learning: A safety perspective on autonomous driving.

Compression Aware Certified Training Uncertainty in machine learning: A safety perspective on autonomous driving

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:53.492064Z

Source-reported events for the cited work

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Observation 47d7787e-4eac-4503-ba08-3e8d2f5689ac · outbound

This paper cites Fast certified robust training with short warmup.Advances in Neural Information Processing Systems, 34:18335– 18349, 2021.

Compression Aware Certified Training Fast certified robust training with short warmup.Advances in Neural Information Processing Systems, 34:18335– 18349, 2021

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:53.355180Z

Source-reported events for the cited work

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Observation 323134ca-f01a-420f-8835-a9da5f3c5784 · outbound

This paper cites Fast and effective robustness certification.Advances in neural information processing systems, 31, 2018.

Compression Aware Certified Training Fast and effective robustness certification.Advances in neural information processing systems, 31, 2018

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:53.214552Z

Source-reported events for the cited work

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Observation ff0cbbe2-f098-4724-9d39-4f2b6983d8f0 · outbound

This paper cites An abstract domain for certifying neural networks.Proceedings of the ACM on Programming Languages, 3(POPL):1– 30, 2019.

Compression Aware Certified Training An abstract domain for certifying neural networks.Proceedings of the ACM on Programming Languages, 3(POPL):1– 30, 2019

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:53.032016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5c4229bc-bc42-442c-970f-4c8e7c8f023a · outbound

This paper cites On adaptive attacks to adversarial example defenses.Advances in neural information processing systems, 33:1633–1645, 2020.

Compression Aware Certified Training On adaptive attacks to adversarial example defenses.Advances in neural information processing systems, 33:1633–1645, 2020

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:52.886822Z

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Observation 0524b00c-ac27-4743-a4fd-7587481a710e · outbound

This paper cites On the feasibility of compressing certifiably robust neural networks.

Compression Aware Certified Training On the feasibility of compressing certifiably robust neural networks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:52.700810Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 032b700b-17b5-454c-a787-67bd4db04cee · outbound

This paper cites Haq: Hardware-aware automated quantization with mixed precision.

Compression Aware Certified Training Haq: Hardware-aware automated quantization with mixed precision

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:52.527076Z

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Observation b2eceb78-869a-4641-a056-9e93283d8e0a · outbound

This paper cites an unresolved cited work.

Compression Aware Certified Training Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-07T01:07:52.391370Z

Source-reported events for the cited work

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Observation 5199e60a-ee48-4aea-afb7-cda9c9f61445 · outbound

This paper cites Adversarial weight perturbation helps robust generalization.Advances in neural information processing systems, 33:2958–2969, 2020.

Compression Aware Certified Training Adversarial weight perturbation helps robust generalization.Advances in neural information processing systems, 33:2958–2969, 2020

Reference 45

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Observation f58a1d47-cbf3-4b93-aadf-5307affc54b8 · outbound

This paper cites Integer quantization for deep learning inference: Principles and empirical evaluation, 2020.

Compression Aware Certified Training Integer quantization for deep learning inference: Principles and empirical evaluation, 2020

Reference 46

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Observation 63ea59fe-16e4-48c2-a518-bf8e221e0d35 · outbound

This paper cites Xiao, Vincent Tjeng, Nur Muhammad (Mahi) Shafiullah, and Aleksander Madry.

Compression Aware Certified Training Xiao, Vincent Tjeng, Nur Muhammad (Mahi) Shafiullah, and Aleksander Madry

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:52.230107Z

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Observation 704f7689-07c0-4591-a26d-4a08ea70b663 · outbound

This paper cites Fast and Complete: Enabling complete neural network verification with rapid and massively parallel incomplete verifiers.

Compression Aware Certified Training Fast and Complete: Enabling complete neural network verification with rapid and massively parallel incomplete verifiers

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T01:07:50.825136Z

Source-reported events for the cited work

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Observation 0a844241-186a-4cb2-860b-55fdbe0f08e2 · outbound

This paper cites Autotag: Recurrent variational autoencoder for unsupervised apnea detection with rfid tags.

Compression Aware Certified Training Autotag: Recurrent variational autoencoder for unsupervised apnea detection with rfid tags

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:52.082854Z

Source-reported events for the cited work

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Observation e24b41e4-2d9c-4fff-923a-3876f3431965 · outbound

This paper cites Towards optimal compression: Joint pruning and quantization, 2023.

Compression Aware Certified Training Towards optimal compression: Joint pruning and quantization, 2023

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:51.937587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6f3ce5a2-2d51-4d41-a385-802616195dbb · outbound

This paper cites Towards Stable and Efficient Training of Verifiably Robust Neural Networks.

Compression Aware Certified Training Towards Stable and Efficient Training of Verifiably Robust Neural Networks

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T01:07:51.157776Z

Source-reported events for the cited work

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Observation 30c3c3d6-4303-42f4-8a4c-0a2ffecc25e2 · outbound

This paper cites Can pruning improve certified robustness of neural networks?Transactions on Machine Learning Research, 2022.

Compression Aware Certified Training Can pruning improve certified robustness of neural networks?Transactions on Machine Learning Research, 2022

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:51.786996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 79691309-029f-442b-b093-6942fd576fb8 · outbound

This paper cites Compression-aware Training of Neural Networks using Frank-Wolfe.

Compression Aware Certified Training Compression-aware Training of Neural Networks using Frank-Wolfe

Reference 53

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