SOTAVerified

Memorization

Papers

Showing 826850 of 1088 papers

TitleStatusHype
On Memorization and Privacy Risks of Sharpness Aware Minimization0
On Memorization of Large Language Models in Logical Reasoning0
On Retrieval Augmentation and the Limitations of Language Model Training0
On the Dichotomy Between Privacy and Traceability in _p Stochastic Convex Optimization0
On the Generalization Mystery in Deep Learning0
On the geometry of generalization and memorization in deep neural networks0
On the Interpolation Effect of Score Smoothing0
On the Memorization Properties of Contrastive Learning0
On the Optimal Memorization Power of ReLU Neural Networks0
On the Planning, Search, and Memorization Capabilities of Large Language Models0
On the Reasoning Capacity of AI Models and How to Quantify It0
On the Robustness of Monte Carlo Dropout Trained with Noisy Labels0
On the Role of Geometry in Geo-Localization0
On the Unintended Social Bias of Training Language Generation Models with Data from Local Media0
On the Unintended Social Bias of Training Language Generation Models with News Articles0
Towards Uncovering How Large Language Model Works: An Explainability Perspective0
Optimal Memorization Capacity of Transformers0
Optimizing Human Learning0
OT-Filter: An Optimal Transport Filter for Learning With Noisy Labels0
Overparameterized Neural Networks Can Implement Associative Memory0
Parameter Compression of Recurrent Neural Networks and Degradation of Short-term Memory0
Parsimonious Inference0
Patch-Based Diffusion Models Beat Whole-Image Models for Mismatched Distribution Inverse Problems0
PDFed: Privacy-Preserving and Decentralized Asynchronous Federated Learning for Diffusion Models0
Perceptron Theory Can Predict the Accuracy of Neural Networks0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM-540B (few-shot, k=5)Accuracy95.4Unverified
2Gopher-280B (few-shot, k=5)Accuracy80Unverified
3PaLM-62B (few-shot, k=5)Accuracy77.7Unverified