Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments | Paper Citation Record

Observation d471514a-b369-4ce4-b388-568ccab381f4 · outbound

This paper cites an unresolved cited work.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:10:34.692107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 70e42dba-7844-4098-a25b-d81fcace9c07 · outbound

This paper cites Deep residual learning for im- age recognition.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Deep residual learning for im- age recognition

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T04:10:33.468708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0805b44-196e-45ce-8dd7-4db83124da5d · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T04:10:33.473867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93e41a0b-d5be-4b7f-9b28-1783b5f6bd58 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.663626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8f78dffa-43a4-4b38-b1f4-903038108313 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.647719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5aa25ef5-d72c-478e-bff4-e623403b9ddc · outbound

This paper cites Language models are few-shot learners.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Language models are few-shot learners

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T04:10:33.490331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74bba2fb-61b1-41d2-809f-9eecf1e41449 · outbound

This paper cites Speech recognition with deep recurrent neural networks.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Speech recognition with deep recurrent neural networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.620438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0a7c2fc7-9f2e-4f72-a5cc-9bcdbb2b6fd4 · outbound

This paper cites Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.603546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5b315267-2a3a-4c5c-98b3-e7d679d4fefd · outbound

This paper cites Deep Speech: Scaling up end-to-end speech recognition.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Deep Speech: Scaling up end-to-end speech recognition

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:10:33.505003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f434976b-244c-40e9-adb2-502ba4c793e8 · outbound

This paper cites Dermatologist-level classification of skin cancer with deep neural net- works.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Dermatologist-level classification of skin cancer with deep neural net- works

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.587078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1e0abef5-de34-478a-88f6-97b312655812 · outbound

This paper cites A survey on deep learning in medical image analysis.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments A survey on deep learning in medical image analysis

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.571762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b35a6c3c-9607-46c7-b87c-3f30cbea4004 · outbound

This paper cites Human-level control through deep reinforcement learning.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Human-level control through deep reinforcement learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:10:33.522230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12c03af6-2905-410e-8e19-9f0c21b1b4e3 · outbound

This paper cites Mastering the game of go with deep neural networks and tree search.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Mastering the game of go with deep neural networks and tree search

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.545193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7db03c4f-f1db-428a-80ad-e55beb18acff · outbound

This paper cites Proximal Policy Optimization Algorithms.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Proximal Policy Optimization Algorithms

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:10:33.532608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c0054c9-fc66-4d0d-b166-8544b3727393 · outbound

This paper cites Generative adversarial nets.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Generative adversarial nets

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.530450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2d8c0639-f833-4286-8a29-af6e88f3f0d6 · outbound

This paper cites Evasion attacks against machine learning at test time.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Evasion attacks against machine learning at test time

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.515957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4ad0f41f-76a4-41aa-8155-3a98ffb9dfab · outbound

This paper cites Classification in the presence of label noise: a survey.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Classification in the presence of label noise: a survey

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.499724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c983470c-c349-46e1-9e9a-ff4b00faa454 · outbound

This paper cites Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T04:10:33.552063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dedac9fe-ec00-46fd-b906-6899037aee13 · outbound

This paper cites Selfie: Refurbishing unclean samples for robust deep learning.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Selfie: Refurbishing unclean samples for robust deep learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.484468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2c626b29-1cf6-4a59-b7d4-50adb7f365f2 · outbound

This paper cites Deep Learning is Robust to Massive Label Noise.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Deep Learning is Robust to Massive Label Noise

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T04:10:33.562594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df7ca4cd-7ab2-413b-ba3e-9a234234c7d6 · outbound

This paper cites Mimic-iii, a freely accessible critical care database.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Mimic-iii, a freely accessible critical care database

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.470080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2685a423-d3f1-414b-ab43-2abb6d4bbe01 · outbound

This paper cites A closer look at memorization in deep networks.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments A closer look at memorization in deep networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.454763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 734253e6-17df-4872-80e4-6b2dd1ad73f3 · outbound

This paper cites Understanding deep learning requires rethinking generalization.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Understanding deep learning requires rethinking generalization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T04:10:33.576993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e04b028-10bb-414f-8491-31381030a48e · outbound

This paper cites Reconciling modern machine- learning practice and the classical bias–variance trade-o ff.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Reconciling modern machine- learning practice and the classical bias–variance trade-o ff

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.438219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8e6af645-c722-4967-b1c7-1c2b3baa325e · outbound

This paper cites Concrete Problems in AI Safety.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Concrete Problems in AI Safety

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T04:10:33.586954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dd00622-7103-457f-bbb9-a1680f990f3a · outbound

This paper cites Cleannet: Transfer learning for scalable image classifier training with label noise.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Cleannet: Transfer learning for scalable image classifier training with label noise

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.421480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 83145bbc-4d41-4bb4-91fd-e5a4e98fdbf8 · outbound

This paper cites Tods: An automated time series outlier detection system.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Tods: An automated time series outlier detection system

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.405043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bb7bfc07-652a-45e7-9ee8-04011db6e5f9 · outbound

This paper cites Identifying mislabeled training data.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Identifying mislabeled training data

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.388948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 142d642a-8d15-4f6e-b93b-625721de6d23 · outbound

This paper cites Symmetric cross entropy for robust learning with noisy labels.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Symmetric cross entropy for robust learning with noisy labels

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.373460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ebe7b934-34f5-4891-8f0b-bdd9cf5b184c · outbound

This paper cites Generalized cross entropy loss for training deep neural networks with noisy labels.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Generalized cross entropy loss for training deep neural networks with noisy labels

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T04:10:33.613171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11788201-3c50-41ff-89de-9dce341bcd04 · outbound

This paper cites Dimensionality-driven learning with noisy labels.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Dimensionality-driven learning with noisy labels

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.347365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e1a6e30e-6463-44d2-a974-320983ef0129 · outbound

This paper cites Co-teaching: Robust training of deep neural networks with extremely noisy labels.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Co-teaching: Robust training of deep neural networks with extremely noisy labels

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T04:10:33.622628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08e27b49-204a-4d64-ad47-ffc3c49a146a · outbound

This paper cites Mentornet: Learning data-driven curriculum for very deep neural networks on corrupted labels.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Mentornet: Learning data-driven curriculum for very deep neural networks on corrupted labels

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.321542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 62c57850-fa5a-4334-acf9-ba873a332511 · outbound

This paper cites Making deep neural networks robust to label noise: A loss correction approach.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Making deep neural networks robust to label noise: A loss correction approach

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.300374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9639e3e1-a0a9-48e6-b50d-d088168c6e81 · outbound

This paper cites Learning to reweight examples for robust deep learning.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Learning to reweight examples for robust deep learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T04:10:33.637127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f23eb266-e2d3-4e3e-bfb4-e6c30d907b0d · outbound

This paper cites Classification with noisy labels by importance reweighting.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Classification with noisy labels by importance reweighting

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T04:10:33.641944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 230c716b-8a55-45a4-9691-349dec0bfa6e · outbound

This paper cites Are anchor points really indispensable in label-noise learning? Advances in neural information processing systems, 32, 2019.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Are anchor points really indispensable in label-noise learning? Advances in neural information processing systems, 32, 2019

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T04:10:33.646895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ad5c7ca-412f-45d0-bc5e-59596a580321 · outbound

This paper cites Learning to learn from noisy labeled data.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Learning to learn from noisy labeled data

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.254482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation acc958e5-c1a3-40f7-847b-b5acca8f3d04 · outbound

This paper cites Meta- weight-net: Learning an explicit mapping for sample weighting.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Meta- weight-net: Learning an explicit mapping for sample weighting

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.237523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 28449fc3-4e61-489c-9463-9c3e2a94c59f · outbound

This paper cites Towards making systems forget with machine unlearning.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Towards making systems forget with machine unlearning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T04:10:33.661027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34c31683-2887-4e55-9fc5-0d9eea1ec956 · outbound

This paper cites Machine unlearning.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Machine unlearning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.211083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e681f041-2deb-41e0-81eb-9c18b7508df3 · outbound

This paper cites Amnesiac machine learning.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Amnesiac machine learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.195642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ea788675-5b75-43c6-bf3d-7c852df4d272 · outbound

This paper cites On the necessity of au- ditable algorithmic definitions for machine unlearning.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments On the necessity of au- ditable algorithmic definitions for machine unlearning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.180182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c5450715-5c25-48ca-8cef-96909a051d9d · outbound

This paper cites Eternal sunshine of the spotless net: Selective forgetting in deep networks.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Eternal sunshine of the spotless net: Selective forgetting in deep networks

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.164735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ccca1a42-c755-450c-9f69-5a1db81ef19c · outbound

This paper cites Axiomatic attribution for deep networks.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Axiomatic attribution for deep networks

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T04:10:33.685493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cef2ebfc-f588-4f9b-aa64-4afee49cdd5e · outbound

This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T04:10:33.689865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56b8b891-8464-4fb7-987c-4f3892af1e48 · outbound

This paper cites Learning both weights and connections for efficient neural networks.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Learning both weights and connections for efficient neural networks

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.137535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a7e188ce-ec25-4d50-8428-c3bbd88737c3 · outbound

This paper cites Learning Sparse Neural Networks through $L_0$ Regularization.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Learning Sparse Neural Networks through $L_0$ Regularization

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T04:10:33.699166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 570a0be7-6836-405f-8514-a4eb1accc564 · outbound

This paper cites Universal Language Model Fine-tuning for Text Classification.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Universal Language Model Fine-tuning for Text Classification

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T04:10:33.704274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b7adb29-f10b-4286-9098-e9990aa9f83d · outbound

This paper cites Neural transfer learning for natural language processing.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Neural transfer learning for natural language processing

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.120855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 87acf4ca-befa-4326-8b55-2a64f0a672a5 · outbound

This paper cites Zeiler and Rob Fergus.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Zeiler and Rob Fergus

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.105230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 43ac1979-8d16-474d-97f8-879a601683a2 · outbound

This paper cites Lundberg and Su-In Lee.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Lundberg and Su-In Lee

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.089051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 334097e8-b90b-4747-ba9f-12bfde1e1d66 · outbound

This paper cites Axiomatic attribution for deep networks.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Axiomatic attribution for deep networks

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.071740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3c14b974-3de5-4c58-9f79-65b3ad14600b · outbound

This paper cites Importance estimation for neural network pruning.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Importance estimation for neural network pruning

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.056301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b9a61dda-e1d8-4204-9fb1-60a1666d41b0 · outbound

This paper cites Faster gaze prediction with dense networks and Fisher pruning.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Faster gaze prediction with dense networks and Fisher pruning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T04:10:33.736944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aabc153a-2c38-4a01-a78a-41f3943dad02 · outbound

This paper cites Contributions to the mathematical theory of evolution.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Contributions to the mathematical theory of evolution

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.038381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3cb43035-c6c2-4d1d-90dd-a6f1ba3296a2 · outbound

This paper cites k-means++: The advantages of careful seeding.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments k-means++: The advantages of careful seeding

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.023066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 04b07f8b-5667-4d20-9d3f-94dd1f4c94a9 · outbound

This paper cites Maximum likelihood from incom- plete data via the em algorithm.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Maximum likelihood from incom- plete data via the em algorithm

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:10:34.006960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d35f65b2-1a1d-436e-b97a-d2628f1ea212 · outbound

This paper cites Dissecting Language Models: Machine Unlearning via Selective Pruning.

Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments Dissecting Language Models: Machine Unlearning via Selective Pruning

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T04:10:33.754191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers