TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Feuer, Benjamin, Schirrmeister, Robin Tibor, Cherepanova, Valeriia, Hegde, Chinmay, Hutter, Frank, Goldblum, Micah, Cohen, Niv, White, Colin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
WILDCHAT-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training
by: Feuer, Benjamin, et al.
Published: (2025)
by: Feuer, Benjamin, et al.
Published: (2025)
Transformers Boost the Performance of Decision Trees on Tabular Data across Sample Sizes
by: Jayawardhana, Mayuka, et al.
Published: (2025)
by: Jayawardhana, Mayuka, et al.
Published: (2025)
Hidden in the Noise: Two-Stage Robust Watermarking for Images
by: Arabi, Kasra, et al.
Published: (2024)
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)
by: Feuer, Benjamin, et al.
Published: (2024)
When Do Neural Nets Outperform Boosted Trees on Tabular Data?
by: McElfresh, Duncan, et al.
Published: (2023)
by: McElfresh, Duncan, et al.
Published: (2023)
MARVIS: Modality Adaptive Reasoning over VISualizations
by: Feuer, Benjamin, et al.
Published: (2025)
by: Feuer, Benjamin, 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)
by: Feuer, Benjamin, et al.
Published: (2023)
SEAL: Semantic Aware Image Watermarking
by: Arabi, Kasra, et al.
Published: (2025)
by: Arabi, Kasra, et al.
Published: (2025)
Robust Concept Erasure Using Task Vectors
by: Pham, Minh, et al.
Published: (2024)
by: Pham, Minh, et al.
Published: (2024)
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
by: Hans, Abhimanyu, et al.
Published: (2024)
by: Hans, Abhimanyu, et al.
Published: (2024)
Talking Nonsense: Probing Large Language Models' Understanding of Adversarial Gibberish Inputs
by: Cherepanova, Valeriia, et al.
Published: (2024)
by: Cherepanova, Valeriia, et al.
Published: (2024)
SolidMark: Evaluating Image Memorization in Generative Models
by: Kriplani, Nicky, et al.
Published: (2025)
by: Kriplani, Nicky, et al.
Published: (2025)
vTune: Verifiable Fine-Tuning for LLMs Through Backdooring
by: Zhang, Eva, et al.
Published: (2024)
by: Zhang, Eva, et al.
Published: (2024)
Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking
by: Feuer, Benjamin, et al.
Published: (2024)
by: Feuer, Benjamin, et al.
Published: (2024)
When Are Concepts Erased From Diffusion Models?
by: Lu, Kevin, et al.
Published: (2025)
by: Lu, Kevin, et al.
Published: (2025)
EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Networks
by: Arbel, Michael, et al.
Published: (2025)
by: Arbel, Michael, et al.
Published: (2025)
Interpreting Chekhov’s Prose by Leonard A.Polakiewicz. Ars Rossica. Brookline: Academic Studies Press, 2024. 432 pp. $129.00. ISBN 979‐8‐88719‐566‐7
by: Robin Feuer Miller
Published: (2025)
by: Robin Feuer Miller
Published: (2025)
Position: The Future of Bayesian Prediction Is Prior-Fitted
by: Müller, Samuel, et al.
Published: (2025)
by: Müller, Samuel, et al.
Published: (2025)
Understanding Empirical Unlearning with Combinatorial Interpretability
by: Kodama, Shingo, et al.
Published: (2026)
by: Kodama, Shingo, et al.
Published: (2026)
LiveBench: A Challenging, Contamination-Limited LLM Benchmark
by: White, Colin, et al.
Published: (2024)
by: White, Colin, et al.
Published: (2024)
Has My System Prompt Been Used? Large Language Model Prompt Membership Inference
by: Levin, Roman, et al.
Published: (2025)
by: Levin, Roman, et al.
Published: (2025)
Dynamic Prompt Generation for Interactive 3D Medical Image Segmentation Training
by: Ndir, Tidiane Camaret, et al.
Published: (2025)
by: Ndir, Tidiane Camaret, et al.
Published: (2025)
EEG-CLIP : Learning EEG representations from natural language descriptions
by: Ndir, Tidiane Camaret, et al.
Published: (2025)
by: Ndir, Tidiane Camaret, et al.
Published: (2025)
Dynamic Delayed Tree Expansion For Improved Multi-Path Speculative Decoding
by: Thomas, Rahul, et al.
Published: (2026)
by: Thomas, Rahul, et al.
Published: (2026)
Improving LLM Group Fairness on Tabular Data via In-Context Learning
by: Cherepanova, Valeriia, et al.
Published: (2024)
by: Cherepanova, Valeriia, et al.
Published: (2024)
Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks
by: Lee, Dongwoo, et al.
Published: (2025)
by: Lee, Dongwoo, et al.
Published: (2025)
The Lie Derivative for Measuring Learned Equivariance
by: Gruver, Nate, et al.
Published: (2022)
by: Gruver, Nate, et al.
Published: (2022)
Adaptive Retention & Correction: Test-Time Training for Continual Learning
by: Chen, Haoran, et al.
Published: (2024)
by: Chen, Haoran, et al.
Published: (2024)
The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning
by: Goldblum, Micah, et al.
Published: (2023)
by: Goldblum, Micah, et al.
Published: (2023)
Scaling In-Context Segmentation with Hierarchical Supervision
by: Ndir, T. Camaret, et al.
Published: (2026)
by: Ndir, T. Camaret, et al.
Published: (2026)
VectorFit : Adaptive Singular & Bias Vector Fine-Tuning of Pre-trained Foundation Models
by: Hegde, Suhas G, et al.
Published: (2025)
by: Hegde, Suhas G, et al.
Published: (2025)
Exploring the Agentic Frontier of Verilog Code Generation
by: Yubeaton, Patrick, et al.
Published: (2026)
by: Yubeaton, Patrick, et al.
Published: (2026)
GOTCHA: Real-Time Video Deepfake Detection via Challenge-Response
by: Mittal, Govind, et al.
Published: (2022)
by: Mittal, Govind, et al.
Published: (2022)
Unlocking In-Context Learning for Natural Datasets Beyond Language Modelling
by: Bratulić, Jelena, et al.
Published: (2025)
by: Bratulić, Jelena, et al.
Published: (2025)
Privacy-Preserving Mechanisms Enable Cheap Verifiable Inference of LLMs
by: Pal, Arka, et al.
Published: (2026)
by: Pal, Arka, et al.
Published: (2026)
Knowing What You Know Is Not Enough: Large Language Model Confidences Don't Align With Their Actions
by: Pal, Arka, et al.
Published: (2025)
by: Pal, Arka, et al.
Published: (2025)
Preserving Cross-Modal Consistency for CLIP-based Class-Incremental Learning
by: Chen, Haoran, et al.
Published: (2025)
by: Chen, Haoran, et al.
Published: (2025)
Towards Provably Unbiased LLM Judges via Bias-Bounded Evaluation
by: Feuer, Benjamin, et al.
Published: (2026)
by: Feuer, Benjamin, et al.
Published: (2026)
Deep Riemannian Networks for End-to-End EEG Decoding
by: Wilson, Daniel, et al.
Published: (2022)
by: Wilson, Daniel, et al.
Published: (2022)
Prior-Fitted Functional Flow: In-Context Generative Models for Pharmacokinetics
by: Ojeda, César, et al.
Published: (2026)
by: Ojeda, César, et al.
Published: (2026)
Similar Items
-
WILDCHAT-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training
by: Feuer, Benjamin, et al.
Published: (2025) -
Transformers Boost the Performance of Decision Trees on Tabular Data across Sample Sizes
by: Jayawardhana, Mayuka, 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) -
When Do Neural Nets Outperform Boosted Trees on Tabular Data?
by: McElfresh, Duncan, et al.
Published: (2023)