SOTAVerified

Memorization

Papers

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Showing 751–800 of 1088 papers

TitleStatusHype
Context-based Virtual Adversarial Training for Text Classification with Noisy Labels—0
Continual Learning Should Move Beyond Incremental Classification—0
Continual Memory: Can We Reason After Long-Term Memorization?—0
Continuous Reinforcement Learning-based Dynamic Difficulty Adjustment in a Visual Working Memory Game—0
CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models—0
CopyrightShield: Spatial Similarity Guided Backdoor Defense against Copyright Infringement in Diffusion Models—0
COSMO: Combination of Selective Memorization for Low-cost Vision-and-Language Navigation—0
Counterfactual Influence as a Distributional Quantity—0
Counterfactual Memorization in Neural Language Models—0
Critical Data Size of Language Models from a Grokking Perspective—0
Cross-Domain Generalization Through Memorization: A Study of Nearest Neighbors in Neural Duplicate Question Detection—0
CrossSplit: Mitigating Label Noise Memorization through Data Splitting—0
CSGNN: Conquering Noisy Node labels via Dynamic Class-wise Selection—0
Customizing Large Language Model Generation Style using Parameter-Efficient Finetuning—0
Data Contamination: From Memorization to Exploitation—0
Data-Copying in Generative Models: A Formal Framework—0
Data Isotopes for Data Provenance in DNNs—0
Decoding Generalization from Memorization in Deep Neural Networks—0
Decoupling Gating from Linearity—0
Deep Learning is Provably Robust to Symmetric Label Noise—0
Constructive Universal Approximation and Finite Sample Memorization by Narrow Deep ReLU Networks—0
Déjà Vu: an empirical evaluation of the memorization properties of ConvNets—0
Déjà Vu Memorization in Vision-Language Models—0
Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers—0
Detecting Learning vs Memorization in Deep Neural Networks using Shared Structure Validation Sets—0
Detecting Memorization in Large Language Models—0
Detecting Memorization in ReLU Networks—0
Detecting Unintended Memorization in Language-Model-Fused ASR—0
Detection and Measurement of Syntactic Templates in Generated Text—0
Differential learning kinetics govern the transition from memorization to generalization during in-context learning—0
Differentially Private Fine-Tuning of Diffusion Models—0
Diffusing DeBias: a Recipe for Turning a Bug into a Feature—0
Diffusion Soup: Model Merging for Text-to-Image Diffusion Models—0
Discovering Forbidden Topics in Language Models—0
Distributed Associative Memory Network with Association Reinforcing Loss—0
Distributed Skellam Mechanism: a Novel Approach to Federated Learning with Differential Privacy—0
Distribution Shift Matters for Knowledge Distillation with Webly Collected Images—0
DNN or k-NN: That is the Generalize vs. Memorize Question—0
Does it Really Generalize Well on Unseen Data? Systematic Evaluation of Relational Triple Extraction Methods—0
Does Learning Require Memorization? A Short Tale about a Long Tail—0
Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion?—0
Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach—0
Do Larger Language Models Imply Better Reasoning? A Pretraining Scaling Law for Reasoning—0
Do RNN States Encode Abstract Phonological Processes?—0
Do RNN States Encode Abstract Phonological Alternations?—0
Do sequence-to-sequence VAEs learn global features of sentences?—0
Do We Need to Penalize Variance of Losses for Learning with Label Noise?—0
Do We Train on Test Data? Purging CIFAR of Near-Duplicates—0
Downsampling leads to Image Memorization in Convolutional Autoencoders—0
Dual-Model Defense: Safeguarding Diffusion Models from Membership Inference Attacks through Disjoint Data Splitting—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