SOTAVerified

Memorization

Papers

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Showing 451–500 of 1088 papers

TitleStatusHype
Distributed Skellam Mechanism: a Novel Approach to Federated Learning with Differential Privacy—0
Boundary Adversarial Examples Against Adversarial Overfitting—0
Annotation Inconsistency and Entity Bias in MultiWOZ—0
Learning to generate imaginary tasks for improving generalization in meta-learning—0
Distributed Associative Memory Network with Association Reinforcing Loss—0
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval—0
Learning Positional Embeddings for Coordinate-MLPs—0
Learning Not to Learn in the Presence of Noisy Labels—0
Learning Human Postural Control with Hierarchical Acquisition Functions—0
BloomVQA: Assessing Hierarchical Multi-modal Comprehension—0
Discovering Forbidden Topics in Language Models—0
Blink Rate Variability during resting and reading sessions—0
Learning Camouflaged Object Detection from Noisy Pseudo Label—0
Learning and Memorization—0
Diffusion Soup: Model Merging for Text-to-Image Diffusion Models—0
BLIA: Detect model memorization in binary classification model through passive Label Inference attack—0
An introduction to memory competitions, records and techniques—0
An Exponential Improvement on the Memorization Capacity of Deep Threshold Networks—0
Diffusing DeBias: a Recipe for Turning a Bug into a Feature—0
Leaner Training, Lower Leakage: Revisiting Memorization in LLM Fine-Tuning with LoRA—0
Differentially Private Fine-Tuning of Diffusion Models—0
Latent Geometry and Memorization in Generative Models—0
Differential learning kinetics govern the transition from memorization to generalization during in-context learning—0
Large Language Models Memorize Sensor Datasets! Implications on Human Activity Recognition Research—0
Detection and Measurement of Syntactic Templates in Generated Text—0
BiRRE: Learning Bidirectional Residual Relation Embeddings for Supervised Hypernymy Detection—0
Learnable Privacy Neurons Localization in Language Models—0
Learned Random Label Predictions as a Neural Network Complexity Metric—0
Large Language Models Could Be Rote Learners—0
Learning Associative Memories with Gradient Descent—0
Large language models converge toward human-like concept organization—0
Learning Deep Neural Network Policies with Continuous Memory States—0
Detecting Unintended Memorization in Language-Model-Fused ASR—0
Koala: An Index for Quantifying Overlaps with Pre-training Corpora—0
Learning From Noisy Correspondence With Tri-Partition for Cross-Modal Matching—0
Learning, Generalization, and Functional Entropy in Random Automata Networks—0
Detecting Memorization in ReLU Networks—0
Knowledge Memorization and Rumination for Pre-trained Model-based Class-Incremental Learning—0
Knowledge Mechanisms in Large Language Models: A Survey and Perspective—0
Learning sparsity in reservoir computing through a novel bio-inspired algorithm—0
Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level—0
Learning to Combat Noisy Labels via Classification Margins—0
Detecting Memorization in Large Language Models—0
Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models—0
A new membership inference attack that spots memorization in generative and predictive models: Loss-Based with Reference Model algorithm (LBRM)—0
Knowledge Boundary of Large Language Models: A Survey—0
KMIR: A Benchmark for Evaluating Knowledge Memorization, Identification and Reasoning Abilities of Language Models—0
Learning to Rehearse in Long Sequence Memorization—0
Kernel-Smoothed Scores for Denoising Diffusion: A Bias-Variance Study—0
Jo-SRC: A Contrastive Approach for Combating Noisy Labels—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