:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kriplani, Nicky, Pham, Minh, Somepalli, Gowthami, Hegde, Chinmay, Cohen, Niv
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2503.00592
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

When Are Concepts Erased From Diffusion Models?
by: Lu, Kevin, et al.
Published: (2025)

SEAL: Semantic Aware Image Watermarking
by: Arabi, Kasra, et al.
Published: (2025)

Hidden in the Noise: Two-Stage Robust Watermarking for Images
by: Arabi, Kasra, et al.
Published: (2024)

SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification
by: Feuer, Benjamin, et al.
Published: (2024)

Robust Concept Erasure Using Task Vectors
by: Pham, Minh, et al.
Published: (2024)

Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models
by: Shirkavand, Reza, et al.
Published: (2024)

TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks
by: Feuer, Benjamin, et al.
Published: (2024)

LMD3: Language Model Data Density Dependence
by: Kirchenbauer, John, et al.
Published: (2024)

Measuring Style Similarity in Diffusion Models
by: Somepalli, Gowthami, et al.
Published: (2024)

CinePile: A Long Video Question Answering Dataset and Benchmark
by: Rawal, Ruchit, et al.
Published: (2024)

Exploring the Agentic Frontier of Verilog Code Generation
by: Yubeaton, Patrick, et al.
Published: (2026)

WILDCHAT-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training
by: Feuer, Benjamin, et al.
Published: (2025)

From Pixels to Prose: A Large Dataset of Dense Image Captions
by: Singla, Vasu, et al.
Published: (2024)

DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models
by: Saadati, Nastaran, et al.
Published: (2024)

MARVIS: Modality Adaptive Reasoning over VISualizations
by: Feuer, Benjamin, et al.
Published: (2025)

Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs
by: Hans, Abhimanyu, et al.
Published: (2024)

SURFACEBENCH: A Geometry-Aware Benchmark for Symbolic Surface Discovery
by: Kabra, Sanchit, et al.
Published: (2025)

Discovering Sparse Recovery Algorithms Using Neural Architecture Search
by: Yubeaton, Patrick, et al.
Published: (2025)

Classifying Nodes in Graphs without GNNs
by: Winter, Daniel, et al.
Published: (2024)

FineGRAIN: Evaluating Failure Modes of Text-to-Image Models with Vision Language Model Judges
by: Hayes, Kevin David, et al.
Published: (2025)

Set Features for Anomaly Detection
by: Cohen, Niv, et al.
Published: (2023)

Understanding Empirical Unlearning with Combinatorial Interpretability
by: Kodama, Shingo, et al.
Published: (2026)

Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation
by: Cohen, Seffi, et al.
Published: (2021)

Exploring Graph-Transformer Out-of-Distribution Generalization Abilities
by: Niv, Itay, et al.
Published: (2025)

ARGUS: Hallucination and Omission Evaluation in Video-LLMs
by: Rawal, Ruchit, et al.
Published: (2025)

Agnostic Active Learning of Single Index Models with Linear Sample Complexity
by: Gajjar, Aarshvi, et al.
Published: (2024)

Metacognitive Sensitivity for Test-Time Dynamic Model Selection
by: Trinh, Le Tuan Minh, et al.
Published: (2025)

Localizing and Mitigating Memorization in Image Autoregressive Models
by: Kasliwal, Aditya, et al.
Published: (2025)

ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models
by: Feuer, Benjamin, et al.
Published: (2023)

SimKey: A Semantically Aware Key Module for Watermarking Language Models
by: Kodama, Shingo, et al.
Published: (2025)

The Pitfalls of Memorization: When Memorization Hurts Generalization
by: Bayat, Reza, et al.
Published: (2024)

DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models
by: Saadati, Nastaran, et al.
Published: (2025)

Resolving Memorization in Empirical Diffusion Model for Manifold Data in High-Dimensional Spaces
by: Lyu, Yang, et al.
Published: (2025)

Prior Aware Memorization: An Efficient Metric for Distinguishing Memorization from Generalization in Large Language Models
by: Tiwari, Trishita, et al.
Published: (2026)

DFPE: A Diverse Fingerprint Ensemble for Enhancing LLM Performance
by: Cohen, Seffi, et al.
Published: (2025)

Generative Modeling of Weights: Generalization or Memorization?
by: Zeng, Boya, et al.
Published: (2025)

Memorization to Generalization: Emergence of Diffusion Models from Associative Memory
by: Pham, Bao, et al.
Published: (2025)

Provable Separations between Memorization and Generalization in Diffusion Models
by: Ye, Zeqi, et al.
Published: (2025)

A Geometric Framework for Understanding Memorization in Generative Models
by: Ross, Brendan Leigh, et al.
Published: (2024)

Manifold Generalization Provably Proceeds Memorization in Diffusion Models
by: Shen, Zebang, et al.
Published: (2026)