.@OpenAI just dropped a new technique to break GPT-4 down into 16,000,000 #interpretable features
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Posts with #Interpretable
#Interpretable
Public posts on X that use #Interpretable.
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Dominik Moritz@domoritzOur research group at @Apple is looking for a research engineer to build the future of #interpretable and #safe #machinelearning and #AI. →2199513.2K
Excited to share our @NatureMethods paper on pitfalls & opportunities of using #interpretable #AI in comp bio in the #LLM era. Great collab w/ @atalwalkar's lab. Huge kudos to @valeriechen_ & @muyu_wendy_yang! @CMUCompBio @mldcmu @SCSatCMU @CarnegieMellon43913518.3K
Ajay Thampi@thampimanExcited to release the penultimate chapter of my book on #Interpretable #AI with @ManningBooks. This chapter is all about fairness and mitigating bias. Hope you enjoy it! You can get 45% off today as part of Manning's deal of the day #fairml
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'"What is Different Between These Datasets?" A Framework for Explaining Data Distribution Shifts', by Varun Babbar*, Zhicheng Guo*, Cynthia Rudin. #datasets #data #interpretable013614
Simon Graham@simongraham73Happy to announce the publication of IGUANA in @Gut_BMJ, which introduces an #interpretable solution for #colon #biopsy screening- a significant step towards transparent #AI in #pathology 📢 . Learn more by checking out the paper at @PathLake_CoE
07255.8K- Simon Graham@simongraham73[1/5] How can we improve pathologist efficiency in screening of normal colon biopsies? Take a look at our new #preprint that tackles this issue using #interpretable #AI 🔬 🚀 @PathLAKE_CoE
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Hammer Lab ML (inactive)@HammerLabMLBetter performance AND local #Explainability of #MachineLearning decisions? Yes please! Work by @janphigoe and colleagues on #Interpretable Locally Adaptive #NearestNeighbors out now in Neurocomputing @ElsevierConnect: Or on arXiv:
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Romain Loiseau, PhD@RomainLoiseau15[ISMIR 2022] "A Model You Can Hear: Audio Identification with Playable Prototypes" Revisiting transformation-invariant clustering for audio with SOTA results! Check out the paper #ISMIR2022 #MachineLearning #Interpretable #Supervised #Unsupervised
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Richard Antonello@NeuroRJCome by our poster (#3801), exploring how we can use the question-answering abilities of LLMs to build more #interpretable models of language processing in the 🧠, starting in one hour at #NeurIPS !Chandan Singh @csinvaLLM embeddings are opaque, hurting them in contexts where we really want to understand what’s in them (like neuroscience) Our new work asks whether we can craft *interpretable embeddings* just by asking yes/no questions to black-box LLMs. 🧵019518
LLM embeddings are opaque, hurting them in contexts where we really want to understand what’s in them (like neuroscience) Our new work asks whether we can craft *interpretable embeddings* just by asking yes/no questions to black-box LLMs. 🧵
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Accepted papers at TMLR@TmlrPubInterpretable Mixture of Experts Aya Abdelsalam Ismail, Sercan O Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister. Action editor: Frederic Sala. #interpretability #interpretable #experts03102K
Anant Madabhushi@anantmThrilled to report preprint "Recurrent oropharyngeal SCCs maintain anti-tumor immunity & multinucleation levels following completion of radiation". Not all #ComputationalPathology is #DeepLearning. #Interpretable biomarkers critical to understand TME. URL:
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NEC Laboratories Europe@NECLabsEUWatch NEC Senior Research Scientist Dr. Sascha Saralajew explain the challenges of building truly #interpretable models using existing #machinelearning methods and how prototype-based models can make #AI systems #explainable. #NECLabs #EUAIAct016320
Margarita Bintsi@BintsiMargaritaInterested in #Interpretable #BrainAge estimation from #MRI scans using #DeepLearning? Our work on voxel-level importance maps ( will be presented today! #MICCAI2021 #iMIMIC Thanks to my co-authors @DanielRueckert @Hammers_Alexand @VBaltatzis2233- Accepted papers at TMLR@TmlrPubGeneralizing Neural Additive Models via Statistical Multimodal Analysis Young Kyung Kim, Juan Matias Di Martino, Guillermo Sapiro. Action editor: Yingzhen Li. #multimodal #interpretability #interpretable003420
Want to know how to intentionally design #interpretable #deeplearning models? 🤖✨ Join our weekly seminars! 📅 Every Wednesday! Follow our calendar 🌐 More details in our website29292.7K- Accepted papers at TMLR@TmlrPubLearning Hybrid Interpretable Models: Theory, Taxonomy, and Methods Julien Ferry, Gabriel Laberge, Ulrich Aïvodji. Action editor: Russell Tsuchida. #interpretability #interpretable #explainability025718
Chao Fan@Chao_Fan__Check out our work on quantifying inequality of urban infrastructure systems using #interpretable #MachineLearningAli Mostafavi ✨️ @Mostafavi_AliNew paper from our lab in collaboration with @Chao_Fan__ shows that interpretable machine learning learns complex interactions of urban features to understand socio-economic inequality in cities #UrbanAI #NSF_Funded @TAMUEngineering11131.7K
New paper from our lab in collaboration with @Chao_Fan__ shows that interpretable machine learning learns complex interactions of urban features to understand socio-economic inequality in cities #UrbanAI #NSF_Funded @TAMUEngineering01153.1K
Isabel Valera@IValeraMReminder! Deadline for #SpecialIssue "Foundations and Challenges of Interpretable ML" approaching. Submit your paper by 30 November 2021! @MelaniePradier, @amirhkarimi_ #interpretable #MachineLearning
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