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Memorization

Papers

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Showing 51–100 of 1088 papers

TitleStatusHype
Few-Shot Single-View 3-D Object Reconstruction with Compositional PriorsCode1
FreGAN: Exploiting Frequency Components for Training GANs under Limited DataCode1
Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-context ModelsCode1
Generalization in diffusion models arises from geometry-adaptive harmonic representationsCode1
Generative Evaluation of Complex Reasoning in Large Language ModelsCode1
An Empirical Study of Memorization in NLPCode1
GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical ReasoningCode1
DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion ModelsCode1
Erasing Undesirable Influence in Diffusion ModelsCode1
Grounding Consistency: Distilling Spatial Common Sense for Precise Visual Relationship DetectionCode1
Elephants Never Forget: Testing Language Models for Memorization of Tabular DataCode1
Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence EstimationCode1
Early-Learning Regularization Prevents Memorization of Noisy LabelsCode1
A comparison of LSTM and GRU networks for learning symbolic sequencesCode1
Eicient Non-Sampling Factorization Machines for Optimal Context-Aware RecommendationCode1
Euler State Networks: Non-dissipative Reservoir ComputingCode1
Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised LearningCode1
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and AttributionCode1
Do We Need Zero Training Loss After Achieving Zero Training Error?Code1
DEPN: Detecting and Editing Privacy Neurons in Pretrained Language ModelsCode1
Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy ReasoningCode1
Beyond Memorization: Violating Privacy Via Inference with Large Language ModelsCode1
Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-LearningCode1
Towards Adversarial Evaluations for Inexact Machine UnlearningCode1
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic ForgettingCode1
DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of PlasticityCode1
Data Contamination Can Cross Language BarriersCode1
Arithmetic Without Algorithms: Language Models Solve Math With a Bag of HeuristicsCode1
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine LearningCode1
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain AdaptationCode1
AlleNoise: large-scale text classification benchmark dataset with real-world label noiseCode1
Mitigating Memorization of Noisy Labels via Regularization between RepresentationsCode1
Beyond Memorization: The Challenge of Random Memory Access in Language ModelsCode1
DISC: Learning From Noisy Labels via Dynamic Instance-Specific Selection and CorrectionCode1
Beyond Gradient Averaging in Parallel Optimization: Improved Robustness through Gradient Agreement FilteringCode1
Do Language Models Plagiarize?Code1
Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language ModelsCode1
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy LabelsCode1
Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver IdentificationCode1
Contrastive Learning with Boosted MemorizationCode1
Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language ModelsCode1
State-of-the-Art Augmented NLP Transformer models for direct and single-step retrosynthesisCode1
A Unified Framework for Model EditingCode1
Enhancing human learning via spaced repetition optimizationCode1
Copyright Traps for Large Language ModelsCode1
Exploring Memorization in Adversarial TrainingCode1
AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZCode1
FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language ModelsCode1
Adaptive Early-Learning Correction for Segmentation from Noisy AnnotationsCode1
Benchmarking Chinese Commonsense Reasoning of LLMs: From Chinese-Specifics to Reasoning-Memorization CorrelationsCode1
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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