SOTAVerified

Memorization

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 751–800 of 1088 papers

TitleStatusHype
A Mathematical Framework for Learning Probability Distributions—0
Planting and Mitigating Memorized Content in Predictive-Text Language ModelsCode0
NLIP: Noise-robust Language-Image Pre-training—0
State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions—0
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction—0
Leveraging Unlabeled Data to Track MemorizationCode0
Memorization of Named Entities in Fine-tuned BERT ModelsCode0
Codex Hacks HackerRank: Memorization Issues and a Framework for Code Synthesis Evaluation—0
CrossSplit: Mitigating Label Noise Memorization through Data Splitting—0
Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional NetworksCode0
The Myth of Culturally Agnostic AI Models—0
Boundary Adversarial Examples Against Adversarial Overfitting—0
Data Origin Inference in Machine LearningCode0
Why Deep Learning GeneralizesCode0
Prompting Language Models for Linguistic Structure—0
Selective Memory Recursive Least Squares: Recast Forgetting into Memory in RBF Neural Network Based Real-Time Learning—0
Unintended Memorization and Timing Attacks in Named Entity Recognition Models—0
PLATO-K: Internal and External Knowledge Enhanced Dialogue Generation—0
Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy—0
Deep Learning is Provably Robust to Symmetric Label Noise—0
Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN)—0
The Curious Case of Benign Memorization—0
Finding Memo: Extractive Memorization in Constrained Sequence Generation TasksCode0
Reducing Training Sample Memorization in GANs by Training with Memorization RejectionCode0
Measures of Information Reflect Memorization Patterns—0
Mitigating Unintended Memorization in Language Models via Alternating Teaching—0
CNTN: Cyclic Noise-tolerant Network for Gait Recognition—0
An associative memory model with very high memory rate: Image storage by sequential addition learning—0
Synthetic Dataset Generation for Privacy-Preserving Machine Learning—0
Attention Beats Concatenation for Conditioning Neural Fields—0
Small Transformers Compute Universal Metric EmbeddingsCode0
Data Isotopes for Data Provenance in DNNs—0
On the Privacy Effect of Data Enhancement via the Lens of MemorizationCode0
LiDAR-based localization using universal encoding and memory-aware regressionCode0
Challenging Common Assumptions about Catastrophic Forgetting—0
Generalization-Memorization MachinesCode0
Training Text-to-Text Transformers with Privacy Guarantees—0
Privacy Leakage in Text Classification A Data Extraction Approach—0
Does it Really Generalize Well on Unseen Data? Systematic Evaluation of Relational Triple Extraction Methods—0
Measuring Forgetting of Memorized Training Examples—0
Towards Harnessing Feature Embedding for Robust Learning with Noisy Labels—0
The Privacy Onion Effect: Memorization is RelativeCode0
Fewer Errors, but More Stereotypes? The Effect of Model Size on Gender BiasCode0
Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence—0
Memorization-Dilation: Modeling Neural Collapse Under Label NoiseCode0
Learning to generate imaginary tasks for improving generalization in meta-learning—0
Privacy Leakage in Text Classification: A Data Extraction Approach—0
MSR: Making Self-supervised learning Robust to Aggressive Augmentations—0
White-box Membership Attack Against Machine Learning Based Retinopathy Classification—0
Context-based Virtual Adversarial Training for Text Classification with Noisy Labels—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM-540B (few-shot, k=5)Accuracy95.4—Unverified
2Gopher-280B (few-shot, k=5)Accuracy80—Unverified
3PaLM-62B (few-shot, k=5)Accuracy77.7—Unverified