SOTAVerified

Memorization

Papers

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Showing 651–700 of 1088 papers

TitleStatusHype
Federated Nearest Neighbor Machine Translation—0
What makes a language easy to deep-learn? Deep neural networks and humans similarly benefit from compositional structureCode0
Dynamic Named Entity RecognitionCode0
Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge—0
Few-Shot Table-to-Text Generation with Prompt Planning and Knowledge Memorization—0
Coherence and Diversity through Noise: Self-Supervised Paraphrase Generation via Structure-Aware Denoising—0
ResMem: Learn what you can and memorize the rest—0
Sharp Lower Bounds on Interpolation by Deep ReLU Neural Networks at Irregularly Spaced Data—0
Validation of machine learning based scenario generators—0
Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield EnergyCode0
Progress measures for grokking via mechanistic interpretabilityCode1
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative ModelsCode0
Holistic Label Correction for Noisy Multi-Label ClassificationCode0
Prototypical Mixing and Retrieval-Based Refinement for Label Noise-Resistant Image RetrievalCode0
OT-Filter: An Optimal Transport Filter for Learning With Noisy Labels—0
DISC: Learning From Noisy Labels via Dynamic Instance-Specific Selection and CorrectionCode1
A Mathematical Framework for Learning Probability Distributions—0
Execution-Based Evaluation for Open-Domain Code GenerationCode1
When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric MemoriesCode1
ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free Language ModelsCode1
Planting and Mitigating Memorized Content in Predictive-Text Language ModelsCode0
NLIP: Noise-robust Language-Image Pre-training—0
State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions—0
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction—0
Leveraging Unlabeled Data to Track MemorizationCode0
Memorization of Named Entities in Fine-tuned BERT ModelsCode0
Codex Hacks HackerRank: Memorization Issues and a Framework for Code Synthesis Evaluation—0
CrossSplit: Mitigating Label Noise Memorization through Data Splitting—0
Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional NetworksCode0
The Myth of Culturally Agnostic AI Models—0
Boundary Adversarial Examples Against Adversarial Overfitting—0
Data Origin Inference in Machine LearningCode0
Validating Large Language Models with ReLMCode1
DS-1000: A Natural and Reliable Benchmark for Data Science Code GenerationCode2
Why Deep Learning GeneralizesCode0
Prompting Language Models for Linguistic Structure—0
Selective Memory Recursive Least Squares: Recast Forgetting into Memory in RBF Neural Network Based Real-Time Learning—0
Multi-center anatomical segmentation with heterogeneous labels via landmark-based modelsCode1
Robust Training of Graph Neural Networks via Noise GovernanceCode1
Unintended Memorization and Timing Attacks in Named Entity Recognition Models—0
PLATO-K: Internal and External Knowledge Enhanced Dialogue Generation—0
Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy—0
Deep Learning is Provably Robust to Symmetric Label Noise—0
MemoNet: Memorizing All Cross Features' Representations Efficiently via Multi-Hash Codebook Network for CTR PredictionCode1
Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN)—0
The Curious Case of Benign Memorization—0
Finding Memo: Extractive Memorization in Constrained Sequence Generation TasksCode0
Reducing Training Sample Memorization in GANs by Training with Memorization RejectionCode0
Measures of Information Reflect Memorization Patterns—0
CNTN: Cyclic Noise-tolerant Network for Gait Recognition—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