:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Crawford, Jennifer, Khanna, Amol, Lu, Fred, Wagoner, Amy R., Biderman, Stella, Nguyen, Andre T., Raff, Edward
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2601.00577
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Differentially Private Iterative Screening Rules for Linear Regression
par: Khanna, Amol, et autres
Publié: (2025)

Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent
par: Doldo, Philip, et autres
Publié: (2025)

SoK: A Review of Differentially Private Linear Models For High-Dimensional Data
par: Khanna, Amol, et autres
Publié: (2024)

Position: Challenges and Opportunities for Differential Privacy in the U.S. Federal Government
par: Khanna, Amol, et autres
Publié: (2024)

Comprehensive OOD Detection Improvements
par: Lakkapragada, Anish, et autres
Publié: (2024)

Feature Selection from Differentially Private Correlations
par: Swope, Ryan, et autres
Publié: (2024)

Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection
par: Alam, Mohammad Mahmudul, et autres
Publié: (2024)

Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling
par: Wu, Skyler, et autres
Publié: (2024)

A Walsh Hadamard Derived Linear Vector Symbolic Architecture
par: Alam, Mohammad Mahmudul, et autres
Publié: (2024)

Multi-layer Radial Basis Function Networks for Out-of-distribution Detection
par: Khanna, Amol, et autres
Publié: (2025)

LEACE: Perfect linear concept erasure in closed form
par: Belrose, Nora, et autres
Publié: (2023)

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms
par: Everett, Derek, et autres
Publié: (2025)

Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification
par: Lu, Fred, et autres
Publié: (2024)

High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates
par: Lu, Fred, et autres
Publié: (2024)

Adversarial Machine Learning Attacks on Financial Reporting via Maximum Violated Multi-Objective Attack
par: Raff, Edward, et autres
Publié: (2025)

Not All LLM Reasoners Are Created Equal
par: Hosseini, Arian, et autres
Publié: (2024)

Neural Normalized Compression Distance and the Disconnect Between Compression and Classification
par: Hurwitz, John, et autres
Publié: (2024)

LLM Circuit Analyses Are Consistent Across Training and Scale
par: Tigges, Curt, et autres
Publié: (2024)

Selective Matching Losses -- Not All Scores Are Created Equal
par: Shamir, Gil I., et autres
Publié: (2025)

Bayesian Meta-Analyses Could Be More: A Case Study in Trial of Labor After a Cesarean-section Outcomes and Complications
par: Klein, Ashley, et autres
Publié: (2026)

Grokking Group Multiplication with Cosets
par: Stander, Dashiell, et autres
Publié: (2023)

Living off the Analyst: Harvesting Features from Yara Rules for Malware Detection
par: Gupta, Siddhant, et autres
Publié: (2024)

Learning to Segment using Summary Statistics and Weak Supervision
par: Kulkarni, Omkar, et autres
Publié: (2026)

SubstratumGraphEnv: Reinforcement Learning Environment (RLE) for Modeling System Attack Paths
par: Adewunmi, Bahirah, et autres
Publié: (2026)

What Do Machine Learning Researchers Mean by "Reproducible"?
par: Raff, Edward, et autres
Publié: (2024)

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance
par: Bradshaw, Louis, et autres
Publié: (2025)

More Options for Prelabor Rupture of Membranes, A Bayesian Analysis
par: Klein, Ashley, et autres
Publié: (2024)

Not All Tokens Are Created Equal: Query-Efficient Jailbreak Fuzzing for LLMs
par: Chen, Wenyu, et autres
Publié: (2026)

Not All Frequencies Are Created Equal:Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting
par: Zhang, Xingyu, et autres
Publié: (2024)

Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study
par: Baumgart, Gustav A., et autres
Publié: (2024)

A Vector Symbolic Approach to Multiple Instance Learning
par: Dhrubo, Ehsan Ahmed, et autres
Publié: (2025)

Are All Marine Species Created Equal? Performance Disparities in Underwater Object Detection
par: Wille, Melanie, et autres
Publié: (2025)

Zipf-Gramming: Scaling Byte N-Grams Up to Production Sized Malware Corpora
par: Raff, Edward, et autres
Publié: (2025)

Eliciting Latent Predictions from Transformers with the Tuned Lens
par: Belrose, Nora, et autres
Publié: (2023)

An Equal-Probability Partition of the Sample Space: A Non-parametric Inference from Finite Samples
par: Eriksson, Urban
Publié: (2025)

Not All Candidates are Created Equal: A Heterogeneity-Aware Approach to Pre-ranking in Recommender Systems
par: Tong, Pengfei, et autres
Publié: (2026)

Not All Layers Are Created Equal: Adaptive LoRA Ranks for Personalized Image Generation
par: Shenaj, Donald, et autres
Publié: (2026)

Not All Pretraining are Created Equal: Threshold Tuning and Class Weighting for Imbalanced Polarization Tasks in Low-Resource Settings
par: Oguntade, Abass
Publié: (2026)

PolyPythias: Stability and Outliers across Fifty Language Model Pre-Training Runs
par: van der Wal, Oskar, et autres
Publié: (2025)

ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage
par: Liu, Chang, et autres
Publié: (2026)