SOTAVerified

Memorization

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1001–1050 of 1088 papers

TitleStatusHype
The Information Complexity of Learning Tasks, their Structure and their Distance—0
Understanding Feature Selection and Feature Memorization in Recurrent Neural Networks—0
RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose EstimationCode0
Learning to Infer Program SketchesCode0
Identity Crisis: Memorization and Generalization under Extreme Overparameterization—0
Optimal Kronecker-Sum Approximation of Real Time Recurrent LearningCode0
Do We Train on Test Data? Purging CIFAR of Near-Duplicates—0
Revisiting Sample Selection Approach to Positive-Unlabeled Learning: Turning Unlabeled Data into Positive rather than Negative—0
State-Regularized Recurrent Neural Networks—0
Enhancing human learning via spaced repetition optimizationCode1
How does Disagreement Help Generalization against Label Corruption?Code0
Detecting Overfitting of Deep Generative Networks via Latent RecoveryCode0
Learning to Remember More with Less MemorizationCode1
VideoMem: Constructing, Analyzing, Predicting Short-term and Long-term Video Memorability—0
Limited Gradient Descent: Learning With Noisy Labels—0
Leveraging Random Label Memorization for Unsupervised Pre-Training—0
Auditing Data Provenance in Text-Generation ModelsCode0
Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity—0
Are You Sure YouWant To Do That? Classification with Interpretable Queries—0
Memorization in Overparameterized Autoencoders—0
Detecting Memorization in ReLU Networks—0
Wide and Deep Learning for Peer-to-Peer Lending—0
A Practical Approach to Sizing Neural Networks—0
SIGUA: Forgetting May Make Learning with Noisy Labels More RobustCode0
Pumpout: A Meta Approach for Robustly Training Deep Neural Networks with Noisy Labels—0
State-Regularized Recurrent Networks—0
Déjà Vu: an empirical evaluation of the memorization properties of ConvNets—0
Closed-Book Training to Improve Summarization Encoder Memory—0
Are You Sure You Want To Do That? Classification with Verification—0
VideoMatch: Matching based Video Object Segmentation—0
Airline Passenger Name Record Generation using Generative Adversarial Networks—0
MediaEval 2018: Predicting Media Memorability Task—0
Learning and Memorization—0
A Spline Theory of Deep Learning—0
Split and Rephrase: Better Evaluation and Stronger BaselinesCode0
Olive Oil is Made Olives, Baby Oil is Made Babies: Interpreting Noun Compounds Using Paraphrases in a Neural Model—0
LSTMs Exploit Linguistic Attributes of Data—0
Approximating Real-Time Recurrent Learning with Random Kronecker Factors—0
Refining Source Representations with Relation Networks for Neural Machine Translation—0
Mad Max: Affine Spline Insights into Deep Learning—0
DNN or k-NN: That is the Generalize vs. Memorize Question—0
Split and Rephrase: Better Evaluation and a Stronger BaselineCode0
ALIGNet: Partial-Shape Agnostic Alignment via Unsupervised LearningCode0
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy LabelsCode1
MemGEN: Memory is All You Need—0
Fast Parametric Learning with Activation Memorization—0
Olive Oil is Made of Olives, Baby Oil is Made for Babies: Interpreting Noun Compounds using Paraphrases in a Neural ModelCode0
Algebraic Machine Learning—0
Memorization Precedes Generation: Learning Unsupervised GANs with Memory NetworksCode1
Detecting Learning vs Memorization in Deep Neural Networks using Shared Structure Validation Sets—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