一品网
  • 首页

Towards the Memorization Effect of Neural Networks in Adversarial Training

Towards the Memorization Effect of Neural Networks in Adversarial Training

RobustLearning2022adversarialheuristicICLRMemorywow
LTD: Low Temperature Distillation for Robust Adversarial Training

LTD: Low Temperature Distillation for Robust Adversarial Training

RobustLearningadversarial2021distillationemmmarXivheuristic
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

RobustLearning2022adversarialemmmheuristicICLRDropoutOptimization
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

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

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

NeuralNetworks2001emmmheuristicIEEEinitalizationinterval-based
Avoiding False Local Minima by Proper Initialization of Connections

Avoiding False Local Minima by Proper Initialization of Connections

NeuralNetworksheuristicinitalizationinterval-basednovel1992
Exploring Memorization in Adversarial Training

Exploring Memorization in Adversarial Training

RobustLearning2022adversarialemmmheuristicICLRMemoryOptimization
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

RobustLearning2022ACLadversarialheuristicnovelsmoothingflooding
Amazon.com Recommendations Item-to-Item Collaborative Filtering

Amazon.com Recommendations Item-to-Item Collaborative Filtering

RecommenderSystems2003CFemmmheuristicIEEE
Do We Need Zero Training Loss After Achieving Zero Training Error?

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

NeuralNetworks2020emmmheuristicICMLoverfittingsmoothing
AutoRec: Autoencoders Meet Collaborative Filtering

AutoRec: Autoencoders Meet Collaborative Filtering

AutoEncoderRecommenderSystems2015emmmheuristicseminalWWWCF
Learning to Augment for Casual User Recommendation

Learning to Augment for Casual User Recommendation

RecommenderSystems2022augmentationemmmheuristicWWW
FairRec: Fairness-aware News Recommendation with Decomposed Adversarial Learning

FairRec: Fairness-aware News Recommendation with Decomposed Adversarial Learning

RobustLearningRecommenderSystems2021AAAIemmmfairnessheuristicnews
Learning from Labeled and Unlabeled Data with Label Propagation

Learning from Labeled and Unlabeled Data with Label Propagation

杂学 2002graphheuristicnovelrandomwalk
Causal Representation Learning for Out-of-Distribution Recommendation

Causal Representation Learning for Out-of-Distribution Recommendation

CausalInferenceRecommenderSystems2022heuristicnovelWWWOOD
CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems

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

RobustLearningRecommenderSystems2022emmmheuristicSIGIRfairness
Fairness among New Items in Cold Start Recommender Systems

Fairness among New Items in Cold Start Recommender Systems

RobustLearningRecommenderSystems2021fairnessheuristicnovelseminalSIGIRcoldstart
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System

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

CausalInferenceRecommenderSystems2021heuristicnovelSIGKDDbias
Attacking Recommender Systems with Augmented User Profiles

Attacking Recommender Systems with Augmented User Profiles

GANRobustLearningRecommenderSystems2020adversarialattackemmmheuristicCIKM
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

RobustLearningRecommenderSystems2015adversarialgraphheuristicIJCAInoveldetection
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

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

RecommenderSystems2017CTRFMheuristicIJCAInovelseminal
Neural Factorization Machines for Sparse Predictive Analytics

Neural Factorization Machines for Sparse Predictive Analytics

RecommenderSystems2017CTRemmmFMheuristicSIGIR
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networ

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

RecommenderSystems2017attentionFMheuristicIJCAInovelseminal
Adversarial Personalized Ranking for Recommendation

Adversarial Personalized Ranking for Recommendation

RobustLearningRecommenderSystems2018adversarialemmmheuristicSIGIRMF
Practical Data Poisoning Attack against Next-Item Recommendation

Practical Data Poisoning Attack against Next-Item Recommendation

RobustLearningRecommenderSystems2020adversarialattackheuristicnovelWWWblack-box

标签

一品网 冀ICP备14022925号-6