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94 Results
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Workshop
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Generalized Contrastive Divergence: Joint Training of Energy-Based Model and Diffusion Model through Inverse Reinforcement Learning Sangwoong Yoon · Dohyun Kwon · Himchan Hwang · Yung-Kyun Noh · Frank Park |
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Poster
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Thu 15:00 |
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning Wenliang Dai · Junnan Li · Junnan Li · DONGXU LI · Anthony Tiong · Anthony Meng Huat Tiong · Junqi Zhao · Weisheng Wang · Boyang Li · Pascale N Fung · Steven Hoi |
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Workshop
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Two-stage LLM Fine-tuning with Less Specialization and More Generalization Yihan Wang · Si Si · Daliang Li · MICHAL LUKASIK · Felix Yu · Cho-Jui Hsieh · Inderjit Dhillon · Sanjiv Kumar |
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Workshop
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Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models Tsun-Hsuan Johnson Wang · Alaa Maalouf · Wei Xiao · Yutong Ban · Alexander Amini · Guy Rosman · Sertac Karaman · Daniela Rus |
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Workshop
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LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies Jia Shi · Gautam Rajendrakumar Gare · Jinjin Tian · Siqi Chai · Zhiqiu Lin · Arun Balajee Vasudevan · Di Feng · Francesco Ferroni · Shu Kong · Deva Ramanan |
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Poster
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Thu 15:00 |
Secure Out-of-Distribution Task Generalization with Energy-Based Models Shengzhuang Chen · Long-Kai Huang · Jonathan Richard Schwarz · Yilun Du · Ying Wei |
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Workshop
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A Bayesian Approach to Designing Microstructures and Processing Pathways for Tailored Material Properties Adam Generale · Conlain Kelly · Grayson Harrington · Andreas Robertson · Michael Buzzy · Surya Kalidindi |
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Workshop
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Fri 11:25 |
LLM Routing with Benchmark Datasets Tal Shnitzer · Anthony Ou · Mírian Silva · Kate Soule · Yuekai Sun · Justin Solomon · Neil Thompson · Mikhail Yurochkin |
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Workshop
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One shot localization and segmentation of medical images with Foundation Models Deepa Anand · Gurunath Reddy Madhumani · Vanika Singhal · Dattesh Shanbhag · Shriram KS · Uday Patil · Chitresh Bhushan · Kavitha Manickam · Dawei Gui · Rakesh Mullick · Avinash Gopal · Parminder Bhatia · Taha Kass-Hout |
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Workshop
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Fri 11:35 |
Does CLIP’s generalization performance mainly stem from high train-test similarity? Prasanna Mayilvahanan · Thaddäus Wiedemer · Evgenia Rusak · Matthias Bethge · Wieland Brendel |