Frederic Sala

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 79

Top Venues

CoRR

NeurIPS

ISIT

IEEE Trans. Inf. Theory

University of California, Los Angeles, USA (PHD)

Education History

University of California, Los Angeles, USA

PHD

Publications

Tzu-Heng Huang, Catherine Cao, Vaishnavi Bhargava, Frederic Sala
The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators. CoRR (2024)
Tzu-Heng Huang, Changho Shin, Sui Jiet Tay, Dyah Adila, Frederic Sala
Multimodal Data Curation via Object Detection and Filter Ensembles. CoRR (2024)
Dyah Adila, Changho Shin, Linrong Cai, Frederic Sala
Zero-Shot Robustification of Zero-Shot Models. ICLR (2024)
Nicholas Roberts, Samuel Guo, Zhiqi Gao, Satya Sai Srinath Namburi, Sonia Cromp, Chengjun Wu, Chengyu Duan, Frederic Sala
Pretrained Hybrids with MAD Skills. CoRR (2024)
Amanda Dsouza, Christopher Glaze, Changho Shin, Frederic Sala
Evaluating Language Model Context Windows: A "Working Memory" Test and Inference-time Correction. CoRR (2024)
Dyah Adila, Changho Shin, Yijing Zhang, Frederic Sala
Is Free Self-Alignment Possible? CoRR (2024)
Daniel McNeela, Frederic Sala, Anthony Gitter
Product Manifold Representations for Learning on Biological Pathways. CoRR (2024)
Harit Vishwakarma, Reid Chen, Sui Jiet Tay, Satya Sai Srinath Namburi, Frederic Sala, Ramya Korlakai Vinayak
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling. CoRR (2024)
Changho Shin, Jitian Zhao, Sonia Cromp, Harit Vishwakarma, Frederic Sala
OTTER: Improving Zero-Shot Classification via Optimal Transport. CoRR (2024)
Zhenmei Shi, Yifei Ming, Ying Fan, Frederic Sala, Yingyu Liang
Domain Generalization via Nuclear Norm Regularization. CoRR (2023)
Nicholas Roberts, Xintong Li, Dyah Adila, Sonia Cromp, Tzu-Heng Huang, Jitian Zhao, Frederic Sala
Geometry-Aware Adaptation for Pretrained Models. NeurIPS (2023)
Benedikt Boecking, Nicholas Roberts, Willie Neiswanger, Stefano Ermon, Frederic Sala, Artur Dubrawski
Generative Modeling Helps Weak Supervision (and Vice Versa). ICLR (2023)
Tzu-Heng Huang, Harit Vishwakarma, Frederic Sala
Train 'n Trade: Foundations of Parameter Markets. CoRR (2023)
Neel Guha, Mayee F. Chen, Kush Bhatia, Azalia Mirhoseini, Frederic Sala, Christopher Ré
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification. NeurIPS (2023)
Neel Guha, Mayee F. Chen, Kush Bhatia, Azalia Mirhoseini, Frederic Sala, Christopher Ré
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification. CoRR (2023)
Mayee F. Chen, Nicholas Roberts, Kush Bhatia, Jue Wang, Ce Zhang, Frederic Sala, Christopher Ré
Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models. CoRR (2023)
Tzu-Heng Huang, Harit Vishwakarma, Frederic Sala
Train 'n Trade: Foundations of Parameter Markets. NeurIPS (2023)
Satya Sai Srinath Namburi, Makesh Sreedhar, Srinath Srinivasan, Frederic Sala
The Cost of Compression: Investigating the Impact of Compression on Parametric Knowledge in Language Models. CoRR (2023)
Dyah Adila, Changho Shin, Linrong Cai, Frederic Sala
Zero-Shot Robustification of Zero-Shot Models With Foundation Models. CoRR (2023)
Mayee F. Chen, Nicholas Roberts, Kush Bhatia, Jue Wang, Ce Zhang, Frederic Sala, Christopher Ré
Skill-it! A data-driven skills framework for understanding and training language models. NeurIPS (2023)
Changho Shin, Sonia Cromp, Dyah Adila, Frederic Sala
Mitigating Source Bias for Fairer Weak Supervision. CoRR (2023)
Changho Shin, Sonia Cromp, Dyah Adila, Frederic Sala
Mitigating Source Bias for Fairer Weak Supervision. NeurIPS (2023)
Nicholas Roberts, Xintong Li, Dyah Adila, Sonia Cromp, Tzu-Heng Huang, Jitian Zhao, Frederic Sala
Geometry-Aware Adaptation for Pretrained Models. CoRR (2023)
Satya Sai Srinath Namburi, Makesh Sreedhar, Srinath Srinivasan, Frederic Sala
The Cost of Compression: Investigating the Impact of Compression on Parametric Knowledge in Language Models. EMNLP (Findings) (2023)
Harit Vishwakarma, Heguang Lin, Frederic Sala, Ramya Korlakai Vinayak
Promises and Pitfalls of Threshold-based Auto-labeling. NeurIPS (2023)
Benedikt Boecking, Willie Neiswanger, Nicholas Carl Roberts, Stefano Ermon, Frederic Sala, Artur Dubrawski
Generative Modeling Helps Weak Supervision (and Vice Versa). CoRR (2022)
Changho Shin, Winfred Li, Harit Vishwakarma, Nicholas Carl Roberts, Frederic Sala
Universalizing Weak Supervision. ICLR (2022)
Ruochen Yang, Frederic Sala, Paul Bogdan
Efficient Representation Learning for Higher-Order Data With Simplicial Complexes. LoG (2022)
Harit Vishwakarma, Nicholas Roberts, Frederic Sala
Lifting Weak Supervision To Structured Prediction. CoRR (2022)
Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Frederic Sala, Christopher Ré
Ask Me Anything: A simple strategy for prompting language models. CoRR (2022)
Renbo Tu, Nicholas Roberts, Mikhail Khodak, Junhong Shen, Frederic Sala, Ameet Talwalkar
NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks. NeurIPS (2022)
Renbo Tu, Nicholas Roberts, Vishak Prasad, Sibasis Nayak, Paarth Jain, Frederic Sala, Ganesh Ramakrishnan, Ameet Talwalkar, Willie Neiswanger, Colin White
AutoML for Climate Change: A Call to Action. CoRR (2022)
Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré
Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision. CoRR (2022)
Harit Vishwakarma, Heguang Lin, Frederic Sala, Ramya Korlakai Vinayak
Good Data from Bad Models : Foundations of Threshold-based Auto-labeling. CoRR (2022)
Nicholas Carl Roberts, Xintong Li, Tzu-Heng Huang, Dyah Adila, Spencer Schoenberg, Cheng-Yu Liu, Lauren Pick, Haotian Ma, Aws Albarghouthi, Frederic Sala
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels. CoRR (2022)
Harit Vishwakarma, Frederic Sala
Lifting Weak Supervision To Structured Prediction. NeurIPS (2022)
Mayee F. Chen, Benjamin Nachman, Frederic Sala
Resonant Anomaly Detection with Multiple Reference Datasets. CoRR (2022)
Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré
Shoring up the foundations: fusing model embeddings and weak supervision. UAI (2022)
Nicholas Roberts, Xintong Li, Tzu-Heng Huang, Dyah Adila, Spencer Schoenberg, Cheng-Yu Liu, Lauren Pick, Haotian Ma, Aws Albarghouthi, Frederic Sala
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels. NeurIPS (2022)
Nicholas Roberts, Samuel Guo, Cong Xu, Ameet Talwalkar, David Lander, Lvfang Tao, Linhang Cai, Shuaicheng Niu, Jianyu Heng, Hongyang Qin, Minwen Deng, Johannes Hog, Alexander Pfefferle, Sushil Ammanaghatta Shivakumar, Arjun Krishnakumar, Yubo Wang, Rhea Sukthanker, Frank Hutter, Euxhen Hasanaj, Tien-Dung Le, Mikhail Khodak, Yuriy Nevmyvaka, Kashif Rasul, Frederic Sala, Anderson Schneider, Junhong Shen, Evan R. Sparks
AutoML Decathlon: Diverse Tasks, Modern Methods, and Efficiency at Scale. NeurIPS (Competition and Demos) (2021)
Mayee F. Chen, Benjamin Cohen-Wang, Stephen Mussmann, Frederic Sala, Christopher Ré
Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation. CoRR (2021)
Changho Shin, Winfred Li, Harit Vishwakarma, Nicholas Roberts, Frederic Sala
Universalizing Weak Supervision. CoRR (2021)
Mayee F. Chen, Benjamin Cohen-Wang, Stephen Mussmann, Frederic Sala, Christopher Ré
Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation. AISTATS (2021)
Sarah M. Hooper, Michael Wornow, Ying Hang Seah, Peter Kellman, Hui Xue, Frederic Sala, Curtis P. Langlotz, Christopher Ré
Cut out the annotator, keep the cutout: better segmentation with weak supervision. ICLR (2021)
Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. CoRR (2020)
Mayee F. Chen, Daniel Y. Fu, Frederic Sala, Sen Wu, Ravi Teja Mullapudi, Fait Poms, Kayvon Fatahalian, Christopher Ré
Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings. CoRR (2020)
Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, Christopher Ré
Low-Dimensional Hyperbolic Knowledge Graph Embeddings. CoRR (2020)
Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. ICML (2020)
Zhaobin Kuang, Frederic Sala, Nimit Sharad Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Ré
Ivy: Instrumental Variable Synthesis for Causal Inference. AISTATS (2020)
Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, Christopher Ré
Low-Dimensional Hyperbolic Knowledge Graph Embeddings. ACL (2020)
Zhaobin Kuang, Frederic Sala, Nimit Sharad Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Ré
Ivy: Instrumental Variable Synthesis for Causal Inference. CoRR (2020)
Clayton Schoeny, Frederic Sala, Mark Gottscho, Irina Alam, Puneet Gupta, Lara Dolecek
Context-Aware Resiliency: Unequal Message Protection for Random-Access Memories. IEEE Trans. Inf. Theory 65 (10) (2019)
Ryan Gabrys, Frederic Sala
Codes Correcting Two Deletions. IEEE Trans. Inf. Theory 65 (2) (2019)
Paroma Varma, Frederic Sala, Shiori Sagawa, Jason Alan Fries, Daniel Y. Fu, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré
Multi-Resolution Weak Supervision for Sequential Data. NeurIPS (2019)
Paroma Varma, Frederic Sala, Ann He, Alexander Ratner, Christopher Ré
Learning Dependency Structures for Weak Supervision Models. CoRR (2019)
Frederic Sala, Paroma Varma, Jason A. Fries, Daniel Y. Fu, Shiori Sagawa, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré
Multi-Resolution Weak Supervision for Sequential Data. CoRR (2019)
Paroma Varma, Frederic Sala, Ann He, Alexander Ratner, Christopher Ré
Learning Dependency Structures for Weak Supervision Models. ICML (2019)
Albert Gu, Frederic Sala, Beliz Gunel, Christopher Ré
Learning Mixed-Curvature Representations in Product Spaces. ICLR (Poster) (2019)
Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré
Training Complex Models with Multi-Task Weak Supervision. AAAI (2019)
Ryan Gabrys, Frederic Sala
Codes Correcting Two Deletions. ISIT (2018)
Christopher De Sa, Albert Gu, Christopher Ré, Frederic Sala
Representation Tradeoffs for Hyperbolic Embeddings. CoRR (2018)
Frederic Sala, Christopher De Sa, Albert Gu, Christopher Ré
Representation Tradeoffs for Hyperbolic Embeddings. ICML (2018)
Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré
Training Complex Models with Multi-Task Weak Supervision. CoRR (2018)
Shayan Srinivasa Garani, Lara Dolecek, John Barry, Frederic Sala, Bane Vasic
Signal Processing and Coding Techniques for 2-D Magnetic Recording: An Overview. Proc. IEEE 106 (2) (2018)
Ryan Gabrys, Frederic Sala
Codes Correcting Two Deletions. CoRR (2017)
Clayton Schoeny, Frederic Sala, Mark Gottscho, Irina Alam, Puneet Gupta, Lara Dolecek
Context-aware resiliency: Unequal message protection for random-access memories. ITW (2017)
Frederic Sala, Shahroze Kabir, Guy Van den Broeck, Lara Dolecek
Don't Fear the Bit Flips: Optimized Coding Strategies for Binary Classification. CoRR (2017)
Frederic Sala, Ryan Gabrys, Clayton Schoeny, Lara Dolecek
Exact Reconstruction From Insertions in Synchronization Codes. IEEE Trans. Inf. Theory 63 (4) (2017)
Frederic Sala, Clayton Schoeny, Shahroze Kabir, Dariush Divsalar, Lara Dolecek
On Nonuniform Noisy Decoding for LDPC Codes With Application to Radiation-Induced Errors. IEEE Trans. Commun. 65 (4) (2017)
Clayton Schoeny, Frederic Sala, Lara Dolecek
Novel combinatorial coding results for DNA sequencing and data storage. ACSSC (2017)
Shahroze Kabir, Frederic Sala, Guy Van den Broeck, Lara Dolecek
Coded machine learning: Joint informed replication and learning for linear regression. Allerton (2017)
Frederic Sala, Henry Duwe, Lara Dolecek, Rakesh Kumar
A Unified Framework for Error Correction in On-chip Memories. DSN Workshops (2016)
Lara Dolecek, Frederic Sala
Channel Coding Methods for Non-Volatile Memories. Found. Trends Commun. Inf. Theory 13 (1) (2016)
Frederic Sala, Clayton Schoeny, Nicolas Bitouze, Lara Dolecek
Synchronizing Files From a Large Number of Insertions and Deletions. IEEE Trans. Commun. 64 (6) (2016)
Kayvon Mazooji, Frederic Sala, Guy Van den Broeck, Lara Dolecek
Robust channel coding strategies for machine learning data. Allerton (2016)
Frederic Sala, Ryan Gabrys, Clayton Schoeny, Kayvon Mazooji, Lara Dolecek
Exact sequence reconstruction for insertion-correcting codes. ISIT (2016)
Frederic Sala, Clayton Schoeny, Shahroze Kabir, Dariush Divsalar, Lara Dolecek
Flash memories in high radiation environments: LDPC decoder study. ACSSC (2016)
Ryan Gabrys, Eitan Yaakobi, Farzad Farnoud, Frederic Sala, Jehoshua Bruck, Lara Dolecek
Codes Correcting Erasures and Deletions for Rank Modulation. IEEE Trans. Inf. Theory 62 (1) (2016)
Frederic Sala, Ryan Gabrys, Clayton Schoeny, Lara Dolecek
Exact Reconstruction from Insertions in Synchronization Codes. CoRR (2016)
Lucas Francisco Wanner, Liangzhen Lai, Abbas Rahimi, Mark Gottscho, Pietro Mercati, Chu-Hsiang Huang, Frederic Sala, Yuvraj Agarwal, Lara Dolecek, Nikil D. Dutt, Puneet Gupta, Rajesh K. Gupta, Ranjit Jhala, Rakesh Kumar, Sorin Lerner, Subhasish Mitra, Alexandru Nicolau, Tajana Simunic Rosing, Mani B. Srivastava, Steven Swanson, Dennis Sylvester, Yuanyuan Zhou
NSF expedition on variability-aware software: Recent results and contributions. it Inf. Technol. 57 (3) (2015)
Frederic Sala, Kees A. Schouhamer Immink, Lara Dolecek
Error Control Schemes for Modern Flash Memories: Solutions for Flash deficiencies. IEEE Consumer Electron. Mag. 4 (1) (2015)
Frederic Sala, Clayton Schoeny, Dariush Divsalar, Lara Dolecek
Asymmetric error-correcting codes for Flash memories in high-radiation environments. ISIT (2015)
Frederic Sala, Ryan Gabrys, Clayton Schoeny, Lara Dolecek
Three novel combinatorial theorems for the insertion/deletion channel. ISIT (2015)
Clayton Schoeny, Frederic Sala, Lara Dolecek
Analysis and coding schemes for the flash normal-laplace mixture channel. ISIT (2015)
Frederic Sala, Clayton Schoeny, Dariush Divsalar, Lara Dolecek
Asymmetric ECCs for Flash in high-radiation environments. ACSSC (2015)
Ryan Gabrys, Frederic Sala, Lara Dolecek
Coding for Unreliable Flash Memory Cells. IEEE Commun. Lett. 18 (9) (2014)
Frederic Sala, Ryan Gabrys, Lara Dolecek
Deletions in multipermutations. ISIT (2014)
Clayton Schoeny, Nicolas Bitouze, Frederic Sala, Lara Dolecek
Efficient file synchronization: Extensions and simulations. ACSSC (2014)
Ryan Gabrys, Eitan Yaakobi, Farzad Farnoud, Frederic Sala, Jehoshua Bruck, Lara Dolecek
Single-deletion-correcting codes over permutations. ISIT (2014)
Frederic Sala, Ryan Gabrys, Lara Dolecek
Gilbert-Varshamov-like lower bounds for deletion-correcting codes. ITW (2014)
Nicolas Bitouze, Frederic Sala, S. M. Sadegh Tabatabaei Yazdi, Lara Dolecek
A practical framework for efficient file synchronization. Allerton (2013)
Frederic Sala, Lara Dolecek
Constrained rank modulation schemes. ITW (2013)
Frederic Sala, Lara Dolecek
Counting sequences obtained from the synchronization channel. ISIT (2013)
Frederic Sala, Ryan Gabrys, Lara Dolecek
Dynamic Threshold Schemes for Multi-Level Non-Volatile Memories. IEEE Trans. Commun. 61 (7) (2013)
Frederic Sala, Ryan Gabrys, Lara Dolecek
Dynamic threshold schemes for multi-level non-volatile memories. ACSCC (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Frederic Sala