Aditya Taparia @_adityataparia_
Joined December 2023-
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Aditya Taparia retweeted
Humans learn and improve from failures. Similarly, foundation models adapt based on human feedback. Can we leverage this failure understanding to enhance robotics systems that use foundation models? Introducing AHA—a vision-language model for detecting and reasoning over…
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Aditya Taparia retweeted
📚Do DNNs classify zebras based on stripes? Instead of defining that stripes matter upfront, can we generate what matters? @_adityataparia_ devised RL-based preference optimization (RLPO) to guide the #GenAI process: arxiv.org/pdf/2408.13438 @XAI_Research for @trustworthy_ml
Aditya Taparia retweeted
📚 Excited to share Som's & @_adityataparia_'s #ICML2024 spotlight-designated paper🎗titled "Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models." arxiv.org/pdf/2406.07145… #AI #MachineLearning @icmlconf
Aditya Taparia retweeted
#CVPR2024 DDADS Workshop. Are we all equally safe? Caleb and Bim will be presenting their work on "Fairness in Autonomous Driving: Towards Understanding Confounding Factors in Object Detection under Challenging Weather" today. Poster loc 176. arxiv.org/pdf/2406.00219
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