SOTAVerified

Memorization

Papers

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Showing 901–925 of 1088 papers

TitleStatusHype
Multi-Objective Interpolation Training for Robustness to Label NoiseCode1
Modifying Memories in Transformer Models—0
A Bayesian Nonparametrics View into Deep Representations—0
Network size and size of the weights in memorization with two-layers neural networks—0
SuperLoss: A Generic Loss for Robust Curriculum LearningCode1
Generalization and Memorization: The Bias Potential Model—0
Cross-Domain Generalization Through Memorization: A Study of Nearest Neighbors in Neural Duplicate Question Detection—0
Power System Event Identification based on Deep Neural Network with Information Loading—0
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic ForgettingCode1
Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based InitializationCode0
Toward a Generalization Metric for Deep Generative ModelsCode0
Provable Memorization via Deep Neural Networks using Sub-linear Parameters—0
Learning from Context or Names? An Empirical Study on Neural Relation ExtractionCode1
Revisiting Explicit Regularization in Neural Networks for Reliable Predictive Probability—0
Training Production Language Models without Memorizing User Data—0
Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models—0
Noisy Concurrent Training for Efficient Learning under Label NoiseCode0
Learning explanations that are hard to varyCode2
Extreme Memorization via Scale of InitializationCode0
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence EstimationCode1
Question and Answer Test-Train Overlap in Open-Domain Question Answering DatasetsCode1
Salvage Reusable Samples from Noisy Data for Robust LearningCode0
Making Coherence Out of Nothing At All: Measuring the Evolution of Gradient Alignment—0
The Interpolation Phase Transition in Neural Networks: Memorization and Generalization under Lazy Training—0
Multi-Sample Online Learning for Probabilistic Spiking Neural Networks—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