SOTAVerified

Memorization

Papers

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Showing 801–850 of 1088 papers

TitleStatusHype
Mitigating Memorization of Noisy Labels via Regularization between RepresentationsCode1
Adaptive Early-Learning Correction for Segmentation from Noisy AnnotationsCode1
On the Optimal Memorization Power of ReLU Neural Networks—0
The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine TranslationCode0
How BPE Affects Memorization in Transformers—0
Unleash the Potential of Adaptation Models via Dynamic Domain Labels—0
Can Label-Noise Transition Matrix Help to Improve Sample Selection and Label Correction?—0
Distributed Skellam Mechanism: a Novel Approach to Federated Learning with Differential Privacy—0
Stop just recalling memorized relations: Extracting Unseen Relational Triples from the context—0
Minimizing Memorization in Meta-learning: A Causal Perspective—0
Training Dynamic based data filtering may not work for NLP datasets—0
Remember the context! ASR slot error correction through memorization—0
Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-LearningCode1
Excess Capacity and Backdoor PoisoningCode0
The Impact of Reinitialization on Generalization in Convolutional Neural Networks—0
Representation Memorization for Fast Learning New Knowledge without Forgetting—0
Confidence Adaptive Regularization for Deep Learning with Noisy Labels—0
Learning Transferable Parameters for Unsupervised Domain AdaptationCode1
Unified Regularity Measures for Sample-wise Learning and Generalization—0
Improving Model Generalization: A Chinese Named Entity Recognition Case Study—0
The Separation Capacity of Random Neural Networks—0
Pointer Value Retrieval: A new benchmark for understanding the limits of neural network generalizationCode0
Structure Destruction and Content Combination for Face Anti-Spoofing—0
Memorization in Deep Neural Networks: Does the Loss Function matter?Code0
On the Memorization Properties of Contrastive Learning—0
Leave-one-out Unfairness—0
Consensual Collaborative Training And Knowledge Distillation Based Facial Expression Recognition Under Noisy AnnotationsCode1
Mitigating Memorization in Sample Selection for Learning with Noisy Labels—0
Affect Expression Behaviour Analysis in the Wild using Consensual Collaborative TrainingCode0
Generalization Error of GAN from the Discriminator's Perspective—0
A comparison of LSTM and GRU networks for learning symbolic sequencesCode1
Slope and generalization properties of neural networksCode0
Understanding and Improving Early Stopping for Learning with Noisy LabelsCode1
Time-Aware Language Models as Temporal Knowledge Bases—0
Adaptive Sample Selection for Robust Learning under Label NoiseCode0
INN: A Method Identifying Clean-annotated Samples via Consistency Effect in Deep Neural Networks—0
Graph Convolutional Memory using Topological PriorsCode1
DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature DistributionsCode1
MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data—0
Privacy-Preserving Eye-tracking Using Deep Learning—0
Memorization and Generalization in Neural Code Intelligence ModelsCode0
An Exponential Improvement on the Memorization Capacity of Deep Threshold Networks—0
Schema-Guided Paradigm for Zero-Shot DialogCode0
Towards the Memorization Effect of Neural Networks in Adversarial Training—0
Muddling Label Regularization: Deep Learning for Tabular DatasetsCode0
Antipodes of Label Differential Privacy: PATE and ALIBICode1
On Memorization in Probabilistic Deep Generative ModelsCode0
On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale CompetitionCode0
Fundamental tradeoffs between memorization and robustness in random features and neural tangent regimesCode0
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and AttributionCode1
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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