Josh Gardner

5 papers · 2022–2024 · 1 venue · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird 👥 Mega-Team · Legion

Venues

NeurIPS (5)

Top co-authors

Ludwig Schmidt (5) Zoran Popovic (2) Yonatan Bitton (2) Hritik Bansal (2) Rulin Shao (2) Thao Nguyen (1) Jeffrey Li (1) Saurabh Garg (1) Sarah Pratt (1) Jenia Jitsev (1)

Research topics

Machine Learning (5) Application Areas (4) Artificial Intelligence (2) Deep Learning (2) Learning Types (2) Models (2) Natural Language Processing (1) Core AI (1) Core Methods (1) Learning Paradigms (1) Optimization & Theory (1) Resources & Methods (1)

Keywords

tabular data (2) benchmark evaluation (1) few-shot learning (1) domain generalization (1) transfer learning (1) ensemble learning (1) multimodal learning (1) instruction following (1) distribution shift (1) tree-based ensemble (1) language model (1) vision-language model (1) subgroup robustness (1) out-of-distribution evaluation (1) fair machine learning (1) human evaluation (1) data curation (1) data filtering (1) automatic evaluation (1) hyperparameter sensitivity (1)

Papers

DataComp-LM: In search of the next generation of training sets for language models NeurIPS 2024 Large Scale Transfer Learning for Tabular Data via Language Modeling NeurIPS 2024 Benchmarking Distribution Shift in Tabular Data with TableShift NeurIPS 2023 VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models NeurIPS 2023 Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation NeurIPS 2022