SOTAVerified

Memorization

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 651–675 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
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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