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Towards the Memorization Effect of Neural Networks in Adversarial Training

Towards the Memorization Effect of Neural Networks in Adversarial Training

RobustLearning 2022 adversarial heuristic ICLR Memory wow

LTD: Low Temperature Distillation for Robust Adversarial Training

LTD: Low Temperature Distillation for Robust Adversarial Training

RobustLearning adversarial 2021 distillation emmm arXiv heuristic

DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks

DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks

RobustLearning 2022 adversarial emmm heuristic ICLR Dropout Optimization

A Weight Value Initialization Method for Improving Learning Performance of the Backpropagation Algor

A Weight Value Initialization Method for Improving Learning Performance of the Backpropagation Algor

NeuralNetworks emmm heuristic initalization

Feedforward Networks Training Speed Enhancement by Optimal Initialization of the Synaptic Coefficien

Feedforward Networks Training Speed Enhancement by Optimal Initialization of the Synaptic Coefficien

NeuralNetworks 2001 emmm heuristic IEEE initalization interval-based

Avoiding False Local Minima by Proper Initialization of Connections

Avoiding False Local Minima by Proper Initialization of Connections

NeuralNetworks heuristic initalization interval-based novel 1992

Exploring Memorization in Adversarial Training

Exploring Memorization in Adversarial Training

RobustLearning 2022 adversarial emmm heuristic ICLR Memory Optimization

Flooding-X: Improving BERT’s Resistance to Adversarial Attacks via Loss-Restricted Fine-Tuning

Flooding-X: Improving BERT’s Resistance to Adversarial Attacks via Loss-Restricted Fine-Tuning

RobustLearning 2022 ACL adversarial heuristic novel smoothing flooding

Amazon.com Recommendations Item-to-Item Collaborative Filtering

Amazon.com Recommendations Item-to-Item Collaborative Filtering

RecommenderSystems 2003 CF emmm heuristic IEEE

Do We Need Zero Training Loss After Achieving Zero Training Error?

Do We Need Zero Training Loss After Achieving Zero Training Error?

NeuralNetworks 2020 emmm heuristic ICML overfitting smoothing

AutoRec: Autoencoders Meet Collaborative Filtering

AutoRec: Autoencoders Meet Collaborative Filtering

AutoEncoder RecommenderSystems 2015 emmm heuristic seminal WWW CF

Learning to Augment for Casual User Recommendation

Learning to Augment for Casual User Recommendation

RecommenderSystems 2022 augmentation emmm heuristic WWW

FairRec: Fairness-aware News Recommendation with Decomposed Adversarial Learning

FairRec: Fairness-aware News Recommendation with Decomposed Adversarial Learning

RobustLearning RecommenderSystems 2021 AAAI emmm fairness heuristic news

Learning from Labeled and Unlabeled Data with Label Propagation

Learning from Labeled and Unlabeled Data with Label Propagation

杂学 2002 graph heuristic novel randomwalk

Causal Representation Learning for Out-of-Distribution Recommendation

Causal Representation Learning for Out-of-Distribution Recommendation

CausalInference RecommenderSystems 2022 heuristic novel WWW OOD

CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems

CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems

RobustLearning RecommenderSystems 2022 emmm heuristic SIGIR fairness

Fairness among New Items in Cold Start Recommender Systems

Fairness among New Items in Cold Start Recommender Systems

RobustLearning RecommenderSystems 2021 fairness heuristic novel seminal SIGIR coldstart

Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System

Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System

CausalInference RecommenderSystems 2021 heuristic novel SIGKDD bias

Attacking Recommender Systems with Augmented User Profiles

Attacking Recommender Systems with Augmented User Profiles

GAN RobustLearning RecommenderSystems 2020 adversarial attack emmm heuristic CIKM

Catch the Black Sheep: Unified Framework for Shilling Attack Detection Based on Fraudulent Action Pr

Catch the Black Sheep: Unified Framework for Shilling Attack Detection Based on Fraudulent Action Pr

RobustLearning RecommenderSystems 2015 adversarial graph heuristic IJCAI novel detection

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

RecommenderSystems 2017 CTR FM heuristic IJCAI novel seminal

Neural Factorization Machines for Sparse Predictive Analytics

Neural Factorization Machines for Sparse Predictive Analytics

RecommenderSystems 2017 CTR emmm FM heuristic SIGIR

Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networ

Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networ

RecommenderSystems 2017 attention FM heuristic IJCAI novel seminal

Adversarial Personalized Ranking for Recommendation

Adversarial Personalized Ranking for Recommendation

RobustLearning RecommenderSystems 2018 adversarial emmm heuristic SIGIR MF

Practical Data Poisoning Attack against Next-Item Recommendation

Practical Data Poisoning Attack against Next-Item Recommendation

RobustLearning RecommenderSystems 2020 adversarial attack heuristic novel WWW black-box

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