SOTAVerified

Memorization

Papers

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Showing 951–1000 of 1088 papers

TitleStatusHype
Localizing Memorization in SSL Vision Encoders—0
Logarithmic Width Suffices for Robust Memorization—0
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction—0
Long-Term Vehicle Localization by Recursive Knowledge Distillation—0
LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification—0
Losing dimensions: Geometric memorization in generative diffusion—0
LoyalDiffusion: A Diffusion Model Guarding Against Data Replication—0
LSHBloom: Memory-efficient, Extreme-scale Document Deduplication—0
LSTMs Exploit Linguistic Attributes of Data—0
Mad Max: Affine Spline Insights into Deep Learning—0
Making Coherence Out of Nothing At All: Measuring the Evolution of Gradient Alignment—0
Making Coherence Out of Nothing At All: Measuring Evolution of Gradient Alignment—0
Malicious and Unintentional Disclosure Risks in Large Language Models for Code Generation—0
MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation—0
Markov chain Hebbian learning algorithm with ternary synaptic units—0
MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations—0
Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence—0
MaxMind: A Memory Loop Network to Enhance Software Productivity based on Large Language Models—0
Measures of Information Reflect Memorization Patterns—0
Measuring Forgetting of Memorized Training Examples—0
Measuring Memorization Effect in Word-Level Neural Networks Probing—0
Measuring memorization in RLHF for code completion—0
Measuring memorization through probabilistic discoverable extraction—0
Measuring Non-Adversarial Reproduction of Training Data in Large Language Models—0
MediaEval 2018: Predicting Media Memorability Task—0
Mehler's Formula, Branching Process, and Compositional Kernels of Deep Neural Networks—0
Membership Inference Attacks on Sequence Models—0
MemGEN: Memory is All You Need—0
MemHunter: Automated and Verifiable Memorization Detection at Dataset-scale in LLMs—0
ME-MOMENTUM: EXTRACTING HARD CONFIDENT EXAMPLES FROM NOISILY LABELED DATA—0
Memorization: A Close Look at Books—0
Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization—0
Memorization Capacity of Neural Networks with Conditional Computation—0
Memorization-Compression Cycles Improve Generalization—0
Memorization in deep learning: A survey—0
Memorization in In-Context Learning—0
Memorization in Overparameterized Autoencoders—0
Memorization or Interpolation ? Detecting LLM Memorization through Input Perturbation Analysis—0
Memorization or Reasoning? Exploring the Idiom Understanding of LLMs—0
Memorization Over Reasoning? Exposing and Mitigating Verbatim Memorization in Large Language Models' Character Understanding Evaluation—0
Memorization Through the Lens of Curvature of Loss Function Around Samples—0
Memorization to Generalization: Emergence of Diffusion Models from Associative Memory—0
Memorization vs. Generalization : Quantifying Data Leakage in NLP Performance Evaluation—0
Memorization vs. Reasoning: Updating LLMs with New Knowledge—0
Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models—0
Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction—0
Memorized Images in Diffusion Models share a Subspace that can be Located and Deleted—0
Memorize or Generalize? Evaluating LLM Code Generation with Evolved Questions—0
Memory Planning for Deep Neural Networks—0
Memory Triggers: Unveiling Memorization in Text-To-Image Generative Models through Word-Level Duplication—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