SOTAVerified

Memorization

Papers

Showing 101150 of 1088 papers

TitleStatusHype
Learning to Generate Novel Scene Compositions from Single Images and VideosCode1
Exploring Memorization in Adversarial TrainingCode1
Few-Shot Single-View 3-D Object Reconstruction with Compositional PriorsCode1
Towards Adversarial Evaluations for Inexact Machine UnlearningCode1
Learning with Noisy Labels Revisited: A Study Using Real-World Human AnnotationsCode1
Learning With Twin Noisy Labels for Visible-Infrared Person Re-IdentificationCode1
Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence EstimationCode1
Beyond Gradient Averaging in Parallel Optimization: Improved Robustness through Gradient Agreement FilteringCode1
Evidentiality-guided Generation for Knowledge-Intensive NLP TasksCode1
Beyond Memorization: The Challenge of Random Memory Access in Language ModelsCode1
Beyond Memorization: Violating Privacy Via Inference with Large Language ModelsCode1
Advancing Cross-domain Discriminability in Continual Learning of Vision-Language ModelsCode1
Elephants Never Forget: Testing Language Models for Memorization of Tabular DataCode1
An Empirical Study of Memorization in NLPCode1
Early-Learning Regularization Prevents Memorization of Noisy LabelsCode1
Membership Inference Attacks and Defenses in Neural Network PruningCode1
MemLLM: Finetuning LLMs to Use An Explicit Read-Write MemoryCode1
MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain ConversationCode1
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy LabelsCode1
Memorization in NLP Fine-tuning MethodsCode1
MEOW: MEMOry Supervised LLM Unlearning Via Inverted FactsCode1
Mitigating Memorization In Language ModelsCode1
Enhancing human learning via spaced repetition optimizationCode1
Bot or Human? Detecting ChatGPT Imposters with A Single QuestionCode1
Execution-Based Evaluation for Open-Domain Code GenerationCode1
Multi-Objective Interpolation Training for Robustness to Label NoiseCode1
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion ModelsCode1
Do We Need Zero Training Loss After Achieving Zero Training Error?Code1
Do Language Models Plagiarize?Code1
Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-LearningCode1
DISC: Learning From Noisy Labels via Dynamic Instance-Specific Selection and CorrectionCode1
Can Forward Gradient Match Backpropagation?Code1
Mitigating Memorization of Noisy Labels via Regularization between RepresentationsCode1
DEPN: Detecting and Editing Privacy Neurons in Pretrained Language ModelsCode1
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and AttributionCode1
ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free Language ModelsCode1
A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption EstimationCode1
Can Language Models Follow Multiple Turns of Entangled Instructions?Code1
Can LLM Graph Reasoning Generalize beyond Pattern Memorization?Code1
Can Neural Network Memorization Be Localized?Code1
Capabilities of GPT-4 on Medical Challenge ProblemsCode1
Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised LearningCode1
Are Large Pre-Trained Language Models Leaking Your Personal Information?Code1
DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature DistributionsCode1
Eicient Non-Sampling Factorization Machines for Optimal Context-Aware RecommendationCode1
Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language ModelsCode1
CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding?Code1
Erasing Undesirable Influence in Diffusion ModelsCode1
Euler State Networks: Non-dissipative Reservoir ComputingCode1
Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language ModelsCode1
Show:102550
← PrevPage 3 of 22Next →

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