Frederic Sala
32 papers · 2018–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π Academic Marathon (7) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (5)
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Renaissance Researcher
(8)
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Taxonomy Completionist
(62)
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Deep Specialist
(10)
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Dynamic Duo
(13)
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Triple Crown
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Keyword Champion
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Grand Slam
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Conference Pioneer
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Century Club
(32)
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Unstoppable
(8)
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Keyword Collector
(137)
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Prolific Year
(6)
Conferences
NIPS (14)
ICLR (6)
ICML (4)
AISTATS (2)
EMNLP (2)
AAAI (1)
ACL (1)
NAACL (1)
UAI (1)
Top co-authors
Research topics
Keywords
weak supervision
(9)
large language model
(3)
language model
(3)
semi-supervised learning
(3)
representation learning
(3)
foundation model
(3)
transfer learning
(2)
instruction tuning
(2)
probabilistic label
(2)
threshold-based labeling
(2)
hyperbolic embedding
(2)
zero-shot learning
(2)
latent variable model
(2)
metric space
(2)
threshold-based method
(2)
benchmark suite
(1)
image classification
(1)
few-shot learning
(1)
causal inference
(1)
metric learning
(1)
Papers
Personalize Your LLM: Fake it then Align it
NAACL 2025
Weak-to-Strong Generalization Through the Data-Centric Lens
ICLR 2025
Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL
ICML 2025
Zero-Shot Robustification of Zero-Shot Models
ICLR 2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
NIPS 2024
OTTER: Effortless Label Distribution Adaptation of Zero-shot Models
NIPS 2024
The ALCHEmist: Automated Labeling 500x CHEaper than LLM Data Annotators
NIPS 2024
Stronger Than You Think: Benchmarking Weak Supervision on Realistic Tasks
NIPS 2024
Look Whoβs Talking Now: Covert Channels From Biased LLMs
EMNLP 2024
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification
NIPS 2023
Generative Modeling Helps Weak Supervision (and Vice Versa)
ICLR 2023
The Cost of Compression: Investigating the Impact of Compression on Parametric Knowledge in Language Models
EMNLP 2023
Train 'n Trade: Foundations of Parameter Markets
NIPS 2023
Mitigating Source Bias for Fairer Weak Supervision
NIPS 2023
Skill-it! A data-driven skills framework for understanding and training language models
NIPS 2023
Geometry-Aware Adaptation for Pretrained Models
NIPS 2023
Promises and Pitfalls of Threshold-based Auto-labeling
NIPS 2023
Universalizing Weak Supervision
ICLR 2022
NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks
NIPS 2022
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels
NIPS 2022
Lifting Weak Supervision To Structured Prediction
NIPS 2022
Shoring up the foundations: fusing model embeddings and weak supervision
UAI 2022
Cut out the annotator, keep the cutout: better segmentation with weak supervision
ICLR 2021
Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation
AISTATS 2021
Ivy: Instrumental Variable Synthesis for Causal Inference
AISTATS 2020
Low-Dimensional Hyperbolic Knowledge Graph Embeddings
ACL 2020
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods
ICML 2020
Learning Dependency Structures for Weak Supervision Models
ICML 2019
Training Complex Models with Multi-Task Weak Supervision
AAAI 2019
Learning Mixed-Curvature Representations in Product Spaces
ICLR 2019
Multi-Resolution Weak Supervision for Sequential Data
NIPS 2019
Representation Tradeoffs for Hyperbolic Embeddings
ICML 2018