SOTAVerified

Memorization

Papers

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Showing 151–200 of 1088 papers

TitleStatusHype
DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature DistributionsCode1
Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy ReasoningCode1
Erasing Undesirable Influence in Diffusion ModelsCode1
GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical ReasoningCode1
Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence EstimationCode1
Evidentiality-guided Generation for Knowledge-Intensive NLP TasksCode1
ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free Language ModelsCode1
CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding?Code1
A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption EstimationCode1
Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language ModelsCode1
Early-Learning Regularization Prevents Memorization of Noisy LabelsCode1
In-context Autoencoder for Context Compression in a Large Language ModelCode1
Eicient Non-Sampling Factorization Machines for Optimal Context-Aware RecommendationCode1
Jointly Non-Sampling Learning for Knowledge Graph Enhanced RecommendationCode1
Large Language Models Are Not Strong Abstract ReasonersCode1
Large Loss Matters in Weakly Supervised Multi-Label ClassificationCode1
DEPN: Detecting and Editing Privacy Neurons in Pretrained Language ModelsCode1
Learning from Context or Names? An Empirical Study on Neural Relation ExtractionCode1
Learning to Generate Novel Scene Compositions from Single Images and VideosCode1
Learning to Remember More with Less MemorizationCode1
Elephants Never Forget: Testing Language Models for Memorization of Tabular DataCode1
Consensual Collaborative Training And Knowledge Distillation Based Facial Expression Recognition Under Noisy AnnotationsCode1
Learning With Twin Noisy Labels for Visible-Infrared Person Re-IdentificationCode1
Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-LearningCode1
A comparison of LSTM and GRU networks for learning symbolic sequencesCode1
Localizing Paragraph Memorization in Language ModelsCode1
Do We Need Zero Training Loss After Achieving Zero Training Error?Code1
Continual Memorization of Factoids in Large Language ModelsCode1
Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion modelsCode1
Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood DiscrepancyCode1
Continual Variational Autoencoder Learning via Online Cooperative MemorizationCode1
MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain ConversationCode1
Do PLMs Know and Understand Ontological Knowledge?Code1
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy LabelsCode1
State-of-the-Art Augmented NLP Transformer models for direct and single-step retrosynthesisCode1
Memorization Precedes Generation: Learning Unsupervised GANs with Memory NetworksCode1
Copyright Traps for Large Language ModelsCode1
A Unified Framework for Model EditingCode1
mixup: Beyond Empirical Risk MinimizationCode1
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy LabelsCode1
Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language ModelsCode1
Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver IdentificationCode1
On information captured by neural networks: connections with memorization and generalizationCode1
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine LearningCode1
Enhancing human learning via spaced repetition optimizationCode1
FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language ModelsCode1
Personalized Federated Learning through Local MemorizationCode1
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain AdaptationCode1
Adaptive Early-Learning Correction for Segmentation from Noisy AnnotationsCode1
Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous DatasetsCode1
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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