·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
The AI Hype Index: AI gets booed in graduation season3h◆YouTube will let you ask AI to make a custom video feed4h◆Vertu wants CEOs to run companies from an AI foldable starting at $6,8805h◆Laguna M.1/XS.2 Technical Report8h◆GradientStabilizer:Fix the Norm, Not the Gradient8h◆A Unified Framework for the Evaluation of LLM Agentic Capabilities8h◆LNN-PINN: A Unified Physics-Only Training Framework with Liquid Residual Blocks8h◆AssertLLM2: A Comprehensive LLM Benchmark for Assertion Generation from Design Specifications8h◆The Script is All You Need: An Agentic Framework for Long-Horizon Dialogue-to-Cinematic Video Generation8h◆How Much Can a Few Engine Moves Help? Quantifying Limited Cheating in Chess8h◆Probing for Knowledge Attribution in Large Language Models8h◆Do Language Models Need Sleep? Offline Recurrence for Improved Online Inference8h◆Smoothed Score Queries and the Complexity of Sampling8h◆Understanding Self-Supervised Learning via Latent Distribution Matching8h◆A Paired Testing Protocol for Batch-Conditioned Refusal Robustness in LLM Serving8h◆Optimal ridge regularization revisited8h◆Poison with Style: A Practical Poisoning Attack on Code Large Language Models8h◆CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems8h◆Cost-Sensitive Evaluation for Binary Classifiers8h◆A Spatially Informed Gaussian Process UCB Method for Decentralized Coverage Control8h◆The AI Hype Index: AI gets booed in graduation season3h◆YouTube will let you ask AI to make a custom video feed4h◆Vertu wants CEOs to run companies from an AI foldable starting at $6,8805h◆Laguna M.1/XS.2 Technical Report8h◆GradientStabilizer:Fix the Norm, Not the Gradient8h◆A Unified Framework for the Evaluation of LLM Agentic Capabilities8h◆LNN-PINN: A Unified Physics-Only Training Framework with Liquid Residual Blocks8h◆AssertLLM2: A Comprehensive LLM Benchmark for Assertion Generation from Design Specifications8h◆The Script is All You Need: An Agentic Framework for Long-Horizon Dialogue-to-Cinematic Video Generation8h◆How Much Can a Few Engine Moves Help? Quantifying Limited Cheating in Chess8h◆Probing for Knowledge Attribution in Large Language Models8h◆Do Language Models Need Sleep? Offline Recurrence for Improved Online Inference8h◆Smoothed Score Queries and the Complexity of Sampling8h◆Understanding Self-Supervised Learning via Latent Distribution Matching8h◆A Paired Testing Protocol for Batch-Conditioned Refusal Robustness in LLM Serving8h◆Optimal ridge regularization revisited8h◆Poison with Style: A Practical Poisoning Attack on Code Large Language Models8h◆CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems8h◆Cost-Sensitive Evaluation for Binary Classifiers8h◆A Spatially Informed Gaussian Process UCB Method for Decentralized Coverage Control8h◆
News/Correcting Class Imbalance in Prior-Data Fitted Networks for Tabular Classification
arxiv
PublishedMay 22, 2026 at 4:00 AM
—neutral

Correcting Class Imbalance in Prior-Data Fitted Networks for Tabular Classification

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2605.21742v1 Announce Type: new Abstract: Prior-data fitted networks (PFNs) have achieved exceptional performance on tabular classification tasks. However, like other classifiers, their performance can suffer under the effect of class imbalance, resulting in poor performance for rare classes.

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivLaguna M.1/XS.2 Technical Report8harxivGradientStabilizer:Fix the Norm, Not the Gradient8harxivA Unified Framework for the Evaluation of LLM Agentic Capabilities8harxivLNN-PINN: A Unified Physics-Only Training Framework with Liquid Residual Blocks8h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews