Sala, Frederic

48 publications

TMLR 2026 Tabby: A Language Model Architecture for Tabular and Structured Data Synthesis Sonia Cromp, Satya Sai Srinath Namburi Gnvv, Mohammed Alkhudhayri, Catherine Cao, Samuel Guo, Nicholas Roberts, Frederic Sala

NeurIPS 2025 Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning Jiayu Wang, Yifei Ming, Zixuan Ke, Caiming Xiong, Shafiq Joty, Aws Albarghouthi, Frederic Sala

ICML 2025 Rethinking Confidence Scores and Thresholds in Pseudolabeling-Based SSL Harit Vishwakarma, Yi Chen, Satya Sai Srinath Namburi Gnvv, Sui Jiet Tay, Ramya Korlakai Vinayak, Frederic Sala

ICLR 2025 Weak-to-Strong Generalization Through the Data-Centric Lens Changho Shin, John Cooper, Frederic Sala

NeurIPS 2025 Weaver: Shrinking the Generation-Verification Gap by Scaling Compute for Verification Jon Saad-Falcon, E. Kelly Buchanan, Mayee F Chen, Tzu-Heng Huang, Brendan McLaughlin, Tanvir Bhathal, Shang Zhu, Ben Athiwaratkun, Frederic Sala, Scott Linderman, Azalia Mirhoseini, Christopher Re

ICMLW 2024 Can Language Models Safeguard Themselves, Instantly and for Free? Dyah Adila, Changho Shin, Yijing Zhang, Frederic Sala

CPAL 2024 Domain Generalization via Nuclear Norm Regularization Zhenmei Shi, Yifei Ming, Ying Fan, Frederic Sala, Yingyu Liang

NeurIPSW 2024 Is Free Self-Alignment Possible? Dyah Adila, Changho Shin, Yijing Zhang, Frederic Sala

ICMLW 2024 MoRe Fine-Tuning with 10x Fewer Parameters Wenxuan Tan, Nicholas Roberts, Tzu-Heng Huang, Jitian Zhao, John Cooper, Samuel Guo, Chengyu Duan, Frederic Sala

ICMLW 2024 MoRe Fine-Tuning with 10x Fewer Parameters Wenxuan Tan, Nicholas Roberts, Tzu-Heng Huang, Jitian Zhao, John Cooper, Samuel Guo, Chengyu Duan, Frederic Sala

NeurIPS 2024 OTTER: Effortless Label Distribution Adaptation of Zero-Shot Models Changho Shin, Jitian Zhao, Sonia Cromp, Harit Vishwakarma, Frederic Sala

ICMLW 2024 OTTER: Effortless Label Distribution Adaptation of Zero-Shot Models Changho Shin, Jitian Zhao, Sonia Cromp, Harit Vishwakarma, Frederic Sala

NeurIPSW 2024 PabLO: Improving Semi-Supervised Learning with Pseudolabeling Optimization Harit Vishwakarma, Yi Chen, Satya Sai Srinath Namburi Gnvv, Sui Jiet Tay, Ramya Korlakai Vinayak, Frederic Sala

NeurIPS 2024 Pearls from Pebbles: Improved Confidence Functions for Auto-Labeling Harit Vishwakarma, Yi Chen, Sui Jiet Tay, Satya Sai Srinath Namburi, Frederic Sala, Ramya Korlakai Vinayak

NeurIPSW 2024 Pearls from Pebbles: Improved Confidence Functions for Auto-Labeling Harit Vishwakarma, Yi Chen, Sui Jiet Tay, Satya Sai Srinath Namburi Gnvv, Frederic Sala, Ramya Korlakai Vinayak

ICMLW 2024 Pretrained Hybrids with MAD Skills Nicholas Roberts, Samuel Guo, Zhiqi Gao, Satya Sai Srinath Namburi Gnvv, Sonia Cromp, Chengjun Wu, Chengyu Duan, Frederic Sala

ICMLW 2024 Pretrained Hybrids with MAD Skills Nicholas Roberts, Samuel Guo, Zhiqi Gao, Satya Sai Srinath Namburi Gnvv, Sonia Cromp, Chengjun Wu, Chengyu Duan, Frederic Sala

ICMLW 2024 Pretrained Hybrids with MAD Skills Nicholas Roberts, Samuel Guo, Zhiqi Gao, Satya Sai Srinath Namburi Gnvv, Sonia Cromp, Chengjun Wu, Chengyu Duan, Frederic Sala

NeurIPS 2024 Stronger than You Think: Benchmarking Weak Supervision on Realistic Tasks Tianyi Zhang, Linrong Cai, Jeffrey Li, Nicholas Roberts, Neel Guha, Frederic Sala

NeurIPSW 2024 Tabby: Tabular Adaptation for Language Models Sonia Cromp, Satya Sai Srinath Namburi Gnvv, Catherine Cao, Mohammed Alkhudhayri, Samuel Guo, Nicholas Roberts, Frederic Sala

NeurIPS 2024 The ALCHEmist: Automated Labeling 500x CHEaper than LLM Data Annotators Tzu-Heng Huang, Catherine Cao, Vaishnavi Bhargava, Frederic Sala

ICLR 2024 Zero-Shot Robustification of Zero-Shot Models Dyah Adila, Changho Shin, Linrong Cai, Frederic Sala

NeurIPS 2023 Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification Neel Guha, Mayee Chen, Kush Bhatia, Azalia Mirhoseini, Frederic Sala, Christopher Ré

NeurIPSW 2023 Foundation Models Can Robustify Themselves, for Free Dyah Adila, Changho Shin, Linrong Cai, Frederic Sala

ICLR 2023 Generative Modeling Helps Weak Supervision (and Vice Versa) Benedikt Boecking, Nicholas Roberts, Willie Neiswanger, Stefano Ermon, Frederic Sala, Artur Dubrawski

NeurIPS 2023 Geometry-Aware Adaptation for Pretrained Models Nicholas Roberts, Xintong Li, Dyah Adila, Sonia Cromp, Tzu-Heng Huang, Jitian Zhao, Frederic Sala

NeurIPS 2023 Mitigating Source Bias for Fairer Weak Supervision Changho Shin, Sonia Cromp, Dyah Adila, Frederic Sala

NeurIPS 2023 Promises and Pitfalls of Threshold-Based Auto-Labeling Harit Vishwakarma, Heguang Lin, Frederic Sala, Ramya Korlakai Vinayak

NeurIPS 2023 Skill-It! a Data-Driven Skills Framework for Understanding and Training Language Models Mayee Chen, Nicholas Roberts, Kush Bhatia, Jue Wang, Ce Zhang, Frederic Sala, Christopher Ré

NeurIPS 2023 Train 'n Trade: Foundations of Parameter Markets Tzu-Heng Huang, Harit Vishwakarma, Frederic Sala

NeurIPSW 2023 Understanding Threshold-Based Auto-Labeling: The Good, the Bad, and the Terra Incognita Harit Vishwakarma, Heguang Lin, Frederic Sala, Ramya Vinayak

NeurIPS 2022 AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels Nicholas Roberts, Xintong Li, Tzu-Heng Huang, Dyah Adila, Spencer Schoenberg, Cheng-Yu Liu, Lauren Pick, Haotian Ma, Aws Albarghouthi, Frederic Sala

ICMLW 2022 Causal Omnivore: Fusing Noisy Estimates of Spurious Correlations Dyah Adila, Sonia Cromp, Sicheng Mo, Frederic Sala

NeurIPSW 2022 Domain Generalization with Nuclear Norm Regularization Zhenmei Shi, Yifei Ming, Ying Fan, Frederic Sala, Yingyu Liang

LoG 2022 Efficient Representation Learning for Higher-Order Data with Simplicial Complexes Ruochen Yang, Frederic Sala, Paul Bogdan

NeurIPS 2022 Lifting Weak Supervision to Structured Prediction Harit Vishwakarma, Frederic Sala

NeurIPS 2022 NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks Renbo Tu, Nicholas Roberts, Misha Khodak, Junhong Shen, Frederic Sala, Ameet Talwalkar

UAI 2022 Shoring up the Foundations: Fusing Model Embeddings and Weak Supervision Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré

ICLR 2022 Universalizing Weak Supervision Changho Shin, Winfred Li, Harit Vishwakarma, Nicholas Carl Roberts, Frederic Sala

AISTATS 2021 Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation Mayee Chen, Benjamin Cohen-Wang, Stephen Mussmann, Frederic Sala, Christopher Re

ICLR 2021 Cut Out the Annotator, Keep the Cutout: Better Segmentation with Weak Supervision Sarah Hooper, Michael Wornow, Ying Hang Seah, Peter Kellman, Hui Xue, Frederic Sala, Curtis Langlotz, Christopher Re

ICML 2020 Fast and Three-Rious: Speeding up Weak Supervision with Triplet Methods Daniel Fu, Mayee Chen, Frederic Sala, Sarah Hooper, Kayvon Fatahalian, Christopher Re

AISTATS 2020 Ivy: Instrumental Variable Synthesis for Causal Inference Zhaobin Kuang, Frederic Sala, Nimit Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Re

ICML 2019 Learning Dependency Structures for Weak Supervision Models Paroma Varma, Frederic Sala, Ann He, Alexander Ratner, Christopher Re

ICLR 2019 Learning Mixed-Curvature Representations in Product Spaces Albert Gu, Frederic Sala, Beliz Gunel, Christopher Ré

NeurIPS 2019 Multi-Resolution Weak Supervision for Sequential Data Paroma Varma, Frederic Sala, Shiori Sagawa, Jason Fries, Daniel Fu, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré

AAAI 2019 Training Complex Models with Multi-Task Weak Supervision Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré

ICML 2018 Representation Tradeoffs for Hyperbolic Embeddings Frederic Sala, Chris De Sa, Albert Gu, Christopher Re