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

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

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

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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

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

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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

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

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

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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

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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

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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

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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

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

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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

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

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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

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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

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

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

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

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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

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

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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

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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

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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

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

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

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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

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

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

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

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

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

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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

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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

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

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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

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

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

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

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

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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

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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

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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

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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

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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

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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

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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

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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

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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

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