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09/14/2023
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions
Training large language models to follow instructions makes them perform...
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08/31/2023
Large language models in medicine: the potentials and pitfalls
Large language models (LLMs) have been applied to tasks in healthcare, r...
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08/03/2023
Is your data alignable? Principled and interpretable alignability testing and integration of single-cell data
Single-cell data integration can provide a comprehensive molecular view ...
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07/18/2023
How is ChatGPT's behavior changing over time?
GPT-3.5 and GPT-4 are the two most widely used large language model (LLM...
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07/06/2023
What Should Data Science Education Do with Large Language Models?
The rapid advances of large language models (LLMs), such as ChatGPT, are...
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06/18/2023
OpenDataVal: a Unified Benchmark for Data Valuation
Assessing the quality and impact of individual data points is critical f...
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06/14/2023
TWIGMA: A dataset of AI-Generated Images with Metadata From Twitter
Recent progress in generative artificial intelligence (gen-AI) has enabl...
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06/13/2023
ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations
As generative AI becomes more prevalent, it is important to study how hu...
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06/08/2023
Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
In a wide range of multimodal tasks, contrastive learning has become a p...
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05/29/2023
Beyond Confidence: Reliable Models Should Also Consider Atypicality
While most machine learning models can provide confidence in their predi...
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05/27/2023
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models
Language models have been shown to exhibit positive scaling, where perfo...
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05/09/2023
FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
There is a rapidly growing number of large language models (LLMs) that u...
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05/04/2023
On the nonlinear correlation of ML performance between data subpopulations
Understanding the performance of machine learning (ML) models across div...
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05/01/2023
Discover and Cure: Concept-aware Mitigation of Spurious Correlation
Deep neural networks often rely on spurious correlations to make predict...
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04/29/2023
Data-Driven Subgroup Identification for Linear Regression
Medical studies frequently require to extract the relationship between e...
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04/16/2023
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value
Data valuation is a powerful framework for providing statistical insight...
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04/08/2023
Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks
As machine learning has been deployed ubiquitously across applications i...
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04/06/2023
GPT detectors are biased against non-native English writers
The rapid adoption of generative language models has brought about subst...
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02/13/2023
Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data
Language-supervised vision models have recently attracted great attentio...
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02/08/2023
Diagnosing and Rectifying Vision Models using Language
Recent multi-modal contrastive learning models have demonstrated the abi...
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02/01/2023
SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysis
For the deployment of artificial intelligence (AI) in high-risk settings...
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11/28/2022
FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee
Algorithmic fairness plays an increasingly critical role in machine lear...
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11/12/2022
Provable Membership Inference Privacy
In applications involving sensitive data, such as finance and healthcare...
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11/07/2022
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale
Machine learning models are now able to convert user-written text descri...
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10/25/2022
A Spectral Method for Assessing and Combining Multiple Data Visualizations
Dimension reduction and data visualization aim to project a high-dimensi...
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10/20/2022
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise
The existence of spurious correlations such as image backgrounds in the ...
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10/11/2022
SEAL : Interactive Tool for Systematic Error Analysis and Labeling
With the advent of Transformers, large language models (LLMs) have satur...
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10/11/2022
C-Mixup: Improving Generalization in Regression
Improving the generalization of deep networks is an important open chall...
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10/11/2022
Knowledge-Driven New Drug Recommendation
Drug recommendation assists doctors in prescribing personalized medicati...
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10/04/2022
When and why vision-language models behave like bags-of-words, and what to do about it?
Despite the success of large vision and language models (VLMs) in many d...
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10/03/2022
Data Budgeting for Machine Learning
Data is the fuel powering AI and creates tremendous value for many domai...
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10/02/2022
Ensembling improves stability and power of feature selection for deep learning models
With the growing adoption of deep learning models in different real-worl...
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09/27/2022
WeightedSHAP: analyzing and improving Shapley based feature attributions
Shapley value is a popular approach for measuring the influence of indiv...
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09/18/2022
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions
Commercial ML APIs offered by providers such as Google, Amazon and Micro...
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09/18/2022
Estimating and Explaining Model Performance When Both Covariates and Labels Shift
Deployed machine learning (ML) models often encounter new user data that...
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09/12/2022
Development and Clinical Evaluation of an AI Support Tool for Improving Telemedicine Photo Quality
Telemedicine utilization was accelerated during the COVID-19 pandemic, a...
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07/20/2022
DataPerf: Benchmarks for Data-Centric AI Development
Machine learning (ML) research has generally focused on models, while th...
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06/30/2022
GSCLIP : A Framework for Explaining Distribution Shifts in Natural Language
Helping end users comprehend the abstract distribution shifts can greatl...
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06/06/2022
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data
Algorithmic fairness plays an important role in machine learning and imp...
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05/31/2022
Post-hoc Concept Bottleneck Models
Concept Bottleneck Models (CBMs) map the inputs onto a set of interpreta...
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05/11/2022
A Unified f-divergence Framework Generalizing VAE and GAN
Developing deep generative models that flexibly incorporate diverse meas...
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05/10/2022
Improving genetic risk prediction across diverse population by disentangling ancestry representations
Risk prediction models using genetic data have seen increasing traction ...
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03/24/2022
Domino: Discovering Systematic Errors with Cross-Modal Embeddings
Machine learning models that achieve high overall accuracy often make sy...
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03/15/2022
Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set
Access to dermatological care is a major issue, with an estimated 3 bill...
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03/03/2022
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning
We present modality gap, an intriguing geometric phenomenon of the repre...
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02/14/2022
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
Understanding the performance of machine learning models across diverse ...
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02/12/2022
Uncalibrated Models Can Improve Human-AI Collaboration
In many practical applications of AI, an AI model is used as a decision ...
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01/26/2022
Competition over data: how does data purchase affect users?
As machine learning (ML) is deployed by many competing service providers...
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01/04/2022
Submix: Practical Private Prediction for Large-Scale Language Models
Recent data-extraction attacks have exposed that language models can mem...
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01/02/2022
