Frederic Sala

Orcid: 0000-0003-0379-2827

Affiliations:
  • Stanford University, CA, USA


According to our database1, Frederic Sala authored at least 69 papers between 2010 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Product Manifold Representations for Learning on Biological Pathways.
CoRR, 2024

Multimodal Data Curation via Object Detection and Filter Ensembles.
CoRR, 2024

2023
Zero-Shot Robustification of Zero-Shot Models With Foundation Models.
CoRR, 2023

Domain Generalization via Nuclear Norm Regularization.
CoRR, 2023

Promises and Pitfalls of Threshold-based Auto-labeling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mitigating Source Bias for Fairer Weak Supervision.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Geometry-Aware Adaptation for Pretrained Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Train 'n Trade: Foundations of Parameter Markets.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Skill-it! A data-driven skills framework for understanding and training language models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Generative Modeling Helps Weak Supervision (and Vice Versa).
Proceedings of the Eleventh International Conference on Learning Representations, 2023

The Cost of Compression: Investigating the Impact of Compression on Parametric Knowledge in Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Resonant Anomaly Detection with Multiple Reference Datasets.
CoRR, 2022

Lifting Weak Supervision To Structured Prediction.
CoRR, 2022

Good Data from Bad Models : Foundations of Threshold-based Auto-labeling.
CoRR, 2022

AutoML for Climate Change: A Call to Action.
CoRR, 2022

Ask Me Anything: A simple strategy for prompting language models.
CoRR, 2022

AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels.
CoRR, 2022

Shoring up the foundations: fusing model embeddings and weak supervision.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Lifting Weak Supervision To Structured Prediction.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Representation Learning for Higher-Order Data With Simplicial Complexes.
Proceedings of the Learning on Graphs Conference, 2022

Universalizing Weak Supervision.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Cut out the annotator, keep the cutout: better segmentation with weak supervision.
Proceedings of the 9th International Conference on Learning Representations, 2021

Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings.
CoRR, 2020

Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods.
Proceedings of the 37th International Conference on Machine Learning, 2020

Ivy: Instrumental Variable Synthesis for Causal Inference.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Low-Dimensional Hyperbolic Knowledge Graph Embeddings.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Context-Aware Resiliency: Unequal Message Protection for Random-Access Memories.
IEEE Trans. Inf. Theory, 2019

Codes Correcting Two Deletions.
IEEE Trans. Inf. Theory, 2019

Multi-Resolution Weak Supervision for Sequential Data.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Dependency Structures for Weak Supervision Models.
Proceedings of the 36th International Conference on Machine Learning, 2019

Learning Mixed-Curvature Representations in Product Spaces.
Proceedings of the 7th International Conference on Learning Representations, 2019

Training Complex Models with Multi-Task Weak Supervision.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Signal Processing and Coding Techniques for 2-D Magnetic Recording: An Overview.
Proc. IEEE, 2018

Representation Tradeoffs for Hyperbolic Embeddings.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Exact Reconstruction From Insertions in Synchronization Codes.
IEEE Trans. Inf. Theory, 2017

On Nonuniform Noisy Decoding for LDPC Codes With Application to Radiation-Induced Errors.
IEEE Trans. Commun., 2017

Don't Fear the Bit Flips: Optimized Coding Strategies for Binary Classification.
CoRR, 2017

Coded machine learning: Joint informed replication and learning for linear regression.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

Novel combinatorial coding results for DNA sequencing and data storage.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Algorithms and Coding Techniques for Reliable Data Management and Storage.
PhD thesis, 2016

Codes Correcting Erasures and Deletions for Rank Modulation.
IEEE Trans. Inf. Theory, 2016

Synchronizing Files From a Large Number of Insertions and Deletions.
IEEE Trans. Commun., 2016

Channel Coding Methods for Non-Volatile Memories.
Found. Trends Commun. Inf. Theory, 2016

Exact sequence reconstruction for insertion-correcting codes.
Proceedings of the IEEE International Symposium on Information Theory, 2016

A Unified Framework for Error Correction in On-chip Memories.
Proceedings of the 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2016

Robust channel coding strategies for machine learning data.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Flash memories in high radiation environments: LDPC decoder study.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2016

Advanced Algebraic and Graph-Based ECC Schemes for Modern NVMs.
Proceedings of the 3D Flash Memories, 2016

2015
NSF expedition on variability-aware software: Recent results and contributions.
it Inf. Technol., 2015

Error Control Schemes for Modern Flash Memories: Solutions for Flash deficiencies.
IEEE Consumer Electron. Mag., 2015

Analysis and coding schemes for the flash normal-laplace mixture channel.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Asymmetric error-correcting codes for Flash memories in high-radiation environments.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Three novel combinatorial theorems for the insertion/deletion channel.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Asymmetric ECCs for Flash in high-radiation environments.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Coding for Unreliable Flash Memory Cells.
IEEE Commun. Lett., 2014

Gilbert-Varshamov-like lower bounds for deletion-correcting codes.
Proceedings of the 2014 IEEE Information Theory Workshop, 2014

Deletions in multipermutations.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Single-deletion-correcting codes over permutations.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Efficient file synchronization: Extensions and simulations.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Dynamic Threshold Schemes for Multi-Level Non-Volatile Memories.
IEEE Trans. Commun., 2013

Constrained rank modulation schemes.
Proceedings of the 2013 IEEE Information Theory Workshop, 2013

Counting sequences obtained from the synchronization channel.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

A practical framework for efficient file synchronization.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2010
Linearly many faults in 2-tree-generated networks.
Networks, 2010


  Loading...