SOTAVerified

Memorization

Papers

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Showing 701–750 of 1088 papers

TitleStatusHype
Deep ReLU Networks Have Surprisingly Few Activation Patterns—0
Latent Geometry and Memorization in Generative Models—0
Leaner Training, Lower Leakage: Revisiting Memorization in LLM Fine-Tuning with LoRA—0
Learnable Privacy Neurons Localization in Language Models—0
Learned Random Label Predictions as a Neural Network Complexity Metric—0
Learning and Memorization—0
Learning Associative Memories with Gradient Descent—0
Learning Camouflaged Object Detection from Noisy Pseudo Label—0
Learning Deep Neural Network Policies with Continuous Memory States—0
Learning From Noisy Correspondence With Tri-Partition for Cross-Modal Matching—0
Learning, Generalization, and Functional Entropy in Random Automata Networks—0
Learning Human Postural Control with Hierarchical Acquisition Functions—0
Learning Not to Learn in the Presence of Noisy Labels—0
Learning Positional Embeddings for Coordinate-MLPs—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
Learning to generate imaginary tasks for improving generalization in meta-learning—0
Learning to Rehearse in Long Sequence Memorization—0
Learning to update Auto-associative Memory in Recurrent Neural Networks for Improving Sequence Memorization—0
Learning with Noisy Ground Truth: From 2D Classification to 3D Reconstruction—0
Learning with Structural Labels for Learning with Noisy Labels—0
Learn-Memorize-Recall-Reduce A Robotic Cloud Computing Paradigm—0
Learn to Forget: Machine Unlearning via Neuron Masking—0
Least Squares Maximum and Weighted Generalization-Memorization Machines—0
Leave-one-out Unfairness—0
Less is More: Undertraining Experts Improves Model Upcycling—0
Leveraging Random Label Memorization for Unsupervised Pre-Training—0
Lifelong Unsupervised Domain Adaptive Person Re-identification with Coordinated Anti-forgetting and Adaptation—0
LIFT: Improving Long Context Understanding of Large Language Models through Long Input Fine-Tuning—0
Limited Gradient Descent: Learning With Noisy Labels—0
Listener-Rewarded Thinking in VLMs for Image Preferences—0
LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following—0
LLM-Oriented Retrieval Tuner—0
LLMs' Understanding of Natural Language Revealed—0
Local Feature Swapping for Generalization in Reinforcement Learning—0
Localizing Memorization in SSL Vision Encoders—0
Logarithmic Width Suffices for Robust Memorization—0
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction—0
Long-Term Vehicle Localization by Recursive Knowledge Distillation—0
LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification—0
Losing dimensions: Geometric memorization in generative diffusion—0
LoyalDiffusion: A Diffusion Model Guarding Against Data Replication—0
LSHBloom: Memory-efficient, Extreme-scale Document Deduplication—0
LSTMs Exploit Linguistic Attributes of Data—0
Mad Max: Affine Spline Insights into Deep Learning—0
Making Coherence Out of Nothing At All: Measuring the Evolution of Gradient Alignment—0
Making Coherence Out of Nothing At All: Measuring Evolution of Gradient Alignment—0
Malicious and Unintentional Disclosure Risks in Large Language Models for Code Generation—0
MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation—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