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ORCIDFrederic Sala
Fred Sala 0001
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- affiliation: Stanford University, CA, USA
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2020 – today
- 2024
[c47]Dyah Adila, Changho Shin, Linrong Cai, Frederic Sala:
Zero-Shot Robustification of Zero-Shot Models. ICLR 2024- [i38]Tzu-Heng Huang, Changho Shin, Sui Jiet Tay, Dyah Adila, Frederic Sala:
Multimodal Data Curation via Object Detection and Filter Ensembles. CoRR abs/2401.12225 (2024) - [i37]Daniel McNeela, Frederic Sala, Anthony Gitter
:
Product Manifold Representations for Learning on Biological Pathways. CoRR abs/2401.15478 (2024) - [i36]Changho Shin, Jitian Zhao, Sonia Cromp, Harit Vishwakarma, Frederic Sala:
OTTER: Improving Zero-Shot Classification via Optimal Transport. CoRR abs/2404.08461 (2024) - [i35]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 abs/2404.16188 (2024) - [i34]Nicholas Roberts, Samuel Guo, Zhiqi Gao, Satya Sai Srinath Namburi, Sonia Cromp, Chengjun Wu, Chengyu Duan, Frederic Sala:
Pretrained Hybrids with MAD Skills. CoRR abs/2406.00894 (2024) - [i33]Dyah Adila, Changho Shin, Yijing Zhang, Frederic Sala:
Is Free Self-Alignment Possible? CoRR abs/2406.03642 (2024) - [i32]Amanda Dsouza, Christopher Glaze, Changho Shin, Frederic Sala:
Evaluating Language Model Context Windows: A "Working Memory" Test and Inference-time Correction. CoRR abs/2407.03651 (2024) - [i31]Tzu-Heng Huang, Catherine Cao, Vaishnavi Bhargava, Frederic Sala:
The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators. CoRR abs/2407.11004 (2024) - [i30]Wenxuan Tan, Nicholas Roberts, Tzu-Heng Huang, Jitian Zhao, John Cooper, Samuel Guo, Chengyu Duan, Frederic Sala:
MoRe Fine-Tuning with 10x Fewer Parameters. CoRR abs/2408.17383 (2024) - 2023
- [c46]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: 5255-5273 - [c45]Sonia Cromp, Mark Bilinski, Ryan Gabrys, Frederic Sala:
The Credential is Not Enough: Deception with Honeypots and Fake Credentials. GameSec 2023: 234-254 - [c44]Benedikt Boecking, Nicholas Carl Roberts, Willie Neiswanger, Stefano Ermon, Frederic Sala, Artur Dubrawski:
Generative Modeling Helps Weak Supervision (and Vice Versa). ICLR 2023 - [c43]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 - [c42]Neel Guha, Mayee F. Chen, Kush Bhatia, Azalia Mirhoseini, Frederic Sala, Christopher Ré:
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification. NeurIPS 2023 - [c41]Tzu-Heng Huang, Harit Vishwakarma, Frederic Sala:
Train 'n Trade: Foundations of Parameter Markets. NeurIPS 2023 - [c40]Nicholas Roberts, Xintong Li, Dyah Adila, Sonia Cromp, Tzu-Heng Huang, Jitian Zhao, Frederic Sala:
Geometry-Aware Adaptation for Pretrained Models. NeurIPS 2023 - [c39]Changho Shin, Sonia Cromp, Dyah Adila, Frederic Sala:
Mitigating Source Bias for Fairer Weak Supervision. NeurIPS 2023 - [c38]Harit Vishwakarma, Heguang Lin, Frederic Sala, Ramya Korlakai Vinayak:
Promises and Pitfalls of Threshold-based Auto-labeling. NeurIPS 2023 - [i29]Zhenmei Shi, Yifei Ming, Ying Fan, Frederic Sala, Yingyu Liang:
Domain Generalization via Nuclear Norm Regularization. CoRR abs/2303.07527 (2023) - [i28]Changho Shin, Sonia Cromp, Dyah Adila, Frederic Sala:
Mitigating Source Bias for Fairer Weak Supervision. CoRR abs/2303.17713 (2023) - [i27]Neel Guha, Mayee F. Chen, Kush Bhatia, Azalia Mirhoseini, Frederic Sala, Christopher Ré:
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification. CoRR abs/2307.11031 (2023) - [i26]Nicholas Roberts, Xintong Li, Dyah Adila, Sonia Cromp, Tzu-Heng Huang, Jitian Zhao, Frederic Sala:
Geometry-Aware Adaptation for Pretrained Models. CoRR abs/2307.12226 (2023) - [i25]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 abs/2307.14430 (2023) - [i24]Dyah Adila, Changho Shin, Linrong Cai, Frederic Sala:
Zero-Shot Robustification of Zero-Shot Models With Foundation Models. CoRR abs/2309.04344 (2023) - [i23]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 abs/2312.00960 (2023) - [i22]Tzu-Heng Huang, Harit Vishwakarma, Frederic Sala:
Train 'n Trade: Foundations of Parameter Markets. CoRR abs/2312.04740 (2023) - 2022
- [c37]Changho Shin, Winfred Li, Harit Vishwakarma, Nicholas Carl Roberts, Frederic Sala:
Universalizing Weak Supervision. ICLR 2022 - [c36]Ruochen Yang, Frederic Sala, Paul Bogdan:
Efficient Representation Learning for Higher-Order Data With Simplicial Complexes. LoG 2022: 13 - [c35]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 - [c34]Renbo Tu, Nicholas Roberts, Mikhail Khodak, Junhong Shen, Frederic Sala, Ameet Talwalkar:
NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks. NeurIPS 2022 - [c33]Harit Vishwakarma, Frederic Sala:
Lifting Weak Supervision To Structured Prediction. NeurIPS 2022 - [c32]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: 357-367 - [i21]Benedikt Boecking, Willie Neiswanger, Nicholas Carl Roberts, Stefano Ermon, Frederic Sala, Artur Dubrawski:
Generative Modeling Helps Weak Supervision (and Vice Versa). CoRR abs/2203.12023 (2022) - [i20]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 abs/2203.13270 (2022) - [i19]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 abs/2208.14362 (2022) - [i18]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 abs/2210.02441 (2022) - [i17]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 abs/2210.03324 (2022) - [i16]Harit Vishwakarma, Heguang Lin, Frederic Sala, Ramya Korlakai Vinayak:
Good Data from Bad Models : Foundations of Threshold-based Auto-labeling. CoRR abs/2211.12620 (2022) - [i15]Harit Vishwakarma, Nicholas Roberts, Frederic Sala:
Lifting Weak Supervision To Structured Prediction. CoRR abs/2211.13375 (2022) - [i14]Mayee F. Chen, Benjamin Nachman, Frederic Sala:
Resonant Anomaly Detection with Multiple Reference Datasets. CoRR abs/2212.10579 (2022) - 2021
- [c31]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: 3286-3294 - [c30]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 - [c29]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 Randall Sparks:
AutoML Decathlon: Diverse Tasks, Modern Methods, and Efficiency at Scale. NeurIPS (Competition and Demos) 2021: 151-170 - [i13]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 abs/2103.02761 (2021) - [i12]Changho Shin, Winfred Li, Harit Vishwakarma, Nicholas Carl Roberts, Frederic Sala:
Universalizing Weak Supervision. CoRR abs/2112.03865 (2021) - 2020
- [c28]Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, Christopher Ré:
Low-Dimensional Hyperbolic Knowledge Graph Embeddings. ACL 2020: 6901-6914 - [c27]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: 398-410 - [c26]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: 3280-3291 - [i11]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 abs/2002.11955 (2020) - [i10]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 abs/2004.05316 (2020) - [i9]Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, Christopher Ré:
Low-Dimensional Hyperbolic Knowledge Graph Embeddings. CoRR abs/2005.00545 (2020) - [i8]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 abs/2006.15168 (2020)
2010 – 2019
- 2019
- [j13]Ryan Gabrys, Frederic Sala:
Codes Correcting Two Deletions. IEEE Trans. Inf. Theory 65(2): 965-974 (2019) - [j12]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): 6146-6159 (2019) - [c25]Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré:
Training Complex Models with Multi-Task Weak Supervision. AAAI 2019: 4763-4771 - [c24]Albert Gu, Frederic Sala, Beliz Gunel, Christopher Ré:
Learning Mixed-Curvature Representations in Product Spaces. ICLR (Poster) 2019 - [c23]Paroma Varma, Frederic Sala, Ann He, Alexander Ratner, Christopher Ré:
Learning Dependency Structures for Weak Supervision Models. ICML 2019: 6418-6427 - [c22]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: 192-203 - [i7]Paroma Varma, Frederic Sala, Ann He, Alexander Ratner, Christopher Ré:
Learning Dependency Structures for Weak Supervision Models. CoRR abs/1903.05844 (2019) - [i6]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 abs/1910.09505 (2019) - 2018
- [j11]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): 286-318 (2018) - [c21]Frederic Sala, Christopher De Sa, Albert Gu, Christopher Ré:
Representation Tradeoffs for Hyperbolic Embeddings. ICML 2018: 4457-4466 - [c20]Ryan Gabrys, Frederic Sala:
Codes Correcting Two Deletions. ISIT 2018: 426-430 - [i5]Christopher De Sa, Albert Gu, Christopher Ré, Frederic Sala:
Representation Tradeoffs for Hyperbolic Embeddings. CoRR abs/1804.03329 (2018) - [i4]Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré:
Training Complex Models with Multi-Task Weak Supervision. CoRR abs/1810.02840 (2018) - 2017
- [j10]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): 1438-1450 (2017) - [j9]Frederic Sala, Ryan Gabrys, Clayton Schoeny, Lara Dolecek:
Exact Reconstruction From Insertions in Synchronization Codes. IEEE Trans. Inf. Theory 63(4): 2428-2445 (2017) - [c19]Clayton Schoeny, Frederic Sala, Lara Dolecek:
Novel combinatorial coding results for DNA sequencing and data storage. ACSSC 2017: 511-515 - [c18]Shahroze Kabir, Frederic Sala, Guy Van den Broeck, Lara Dolecek:
Coded machine learning: Joint informed replication and learning for linear regression. Allerton 2017: 1248-1255 - [c17]Clayton Schoeny, Frederic Sala, Mark Gottscho, Irina Alam, Puneet Gupta, Lara Dolecek:
Context-aware resiliency: Unequal message protection for random-access memories. ITW 2017: 166-170 - [i3]Frederic Sala, Shahroze Kabir, Guy Van den Broeck, Lara Dolecek:
Don't Fear the Bit Flips: Optimized Coding Strategies for Binary Classification. CoRR abs/1703.02641 (2017) - [i2]Ryan Gabrys, Frederic Sala:
Codes Correcting Two Deletions. CoRR abs/1712.07222 (2017) - 2016
- [b1]Frederic Sala:
Algorithms and Coding Techniques for Reliable Data Management and Storage. University of California, Los Angeles, USA, 2016 - [j8]Lara Dolecek, Frederic Sala:
Channel Coding Methods for Non-Volatile Memories. Found. Trends Commun. Inf. Theory 13(1): 1-128 (2016) - [j7]Frederic Sala, Clayton Schoeny, Nicolas Bitouze, Lara Dolecek:
Synchronizing Files From a Large Number of Insertions and Deletions. IEEE Trans. Commun. 64(6): 2258-2273 (2016) - [j6]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): 136-150 (2016) - [c16]Frederic Sala, Clayton Schoeny, Shahroze Kabir, Dariush Divsalar, Lara Dolecek:
Flash memories in high radiation environments: LDPC decoder study. ACSSC 2016: 2049-2053 - [c15]Kayvon Mazooji, Frederic Sala, Guy Van den Broeck, Lara Dolecek:
Robust channel coding strategies for machine learning data. Allerton 2016: 609-616 - [c14]Frederic Sala, Henry Duwe, Lara Dolecek, Rakesh Kumar:
A Unified Framework for Error Correction in On-chip Memories. DSN Workshops 2016: 268-274 - [c13]Frederic Sala, Ryan Gabrys, Clayton Schoeny, Kayvon Mazooji, Lara Dolecek:
Exact sequence reconstruction for insertion-correcting codes. ISIT 2016: 615-619 - [p1]Frederic Sala, Clayton Schoeny, Lara Dolecek:
Advanced Algebraic and Graph-Based ECC Schemes for Modern NVMs. 3D Flash Memories 2016: 321-348 - [i1]Frederic Sala, Ryan Gabrys, Clayton Schoeny, Lara Dolecek:
Exact Reconstruction from Insertions in Synchronization Codes. CoRR abs/1604.03000 (2016) - 2015
- [j5]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): 66-73 (2015) - [j4]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): 181-198 (2015) - [c12]Frederic Sala, Clayton Schoeny, Dariush Divsalar, Lara Dolecek:
Asymmetric ECCs for Flash in high-radiation environments. ACSSC 2015: 844-848 - [c11]Frederic Sala, Clayton Schoeny, Dariush Divsalar, Lara Dolecek:
Asymmetric error-correcting codes for Flash memories in high-radiation environments. ISIT 2015: 2096-2100 - [c10]Clayton Schoeny, Frederic Sala, Lara Dolecek:
Analysis and coding schemes for the flash normal-laplace mixture channel. ISIT 2015: 2101-2105 - [c9]Frederic Sala, Ryan Gabrys, Clayton Schoeny, Lara Dolecek:
Three novel combinatorial theorems for the insertion/deletion channel. ISIT 2015: 2702-2706 - 2014
- [j3]Ryan Gabrys, Frederic Sala, Lara Dolecek:
Coding for Unreliable Flash Memory Cells. IEEE Commun. Lett. 18(9): 1491-1494 (2014) - [c8]Clayton Schoeny, Nicolas Bitouze, Frederic Sala, Lara Dolecek:
Efficient file synchronization: Extensions and simulations. ACSSC 2014: 2129-2133 - [c7]Ryan Gabrys, Eitan Yaakobi, Farzad Farnoud, Frederic Sala, Jehoshua Bruck, Lara Dolecek:
Single-deletion-correcting codes over permutations. ISIT 2014: 2764-2768 - [c6]Frederic Sala, Ryan Gabrys, Lara Dolecek:
Deletions in multipermutations. ISIT 2014: 2769-2773 - [c5]Frederic Sala, Ryan Gabrys, Lara Dolecek:
Gilbert-Varshamov-like lower bounds for deletion-correcting codes. ITW 2014: 147-151 - 2013
- [j2]Frederic Sala, Ryan Gabrys, Lara Dolecek:
Dynamic Threshold Schemes for Multi-Level Non-Volatile Memories. IEEE Trans. Commun. 61(7): 2624-2634 (2013) - [c4]Nicolas Bitouze, Frederic Sala, S. M. Sadegh Tabatabaei Yazdi, Lara Dolecek:
A practical framework for efficient file synchronization. Allerton 2013: 1213-1220 - [c3]Frederic Sala, Lara Dolecek:
Counting sequences obtained from the synchronization channel. ISIT 2013: 2925-2929 - [c2]Frederic Sala, Lara Dolecek:
Constrained rank modulation schemes. ITW 2013: 1-5 - 2012
- [c1]Frederic Sala, Ryan Gabrys, Lara Dolecek:
Dynamic threshold schemes for multi-level non-volatile memories. ACSCC 2012: 1245-1249 - 2010
- [j1]Eddie Cheng, László Lipták, Fred Sala:
Linearly many faults in 2-tree-generated networks. Networks 55(2): 90-98 (2010)
Coauthor Index
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