Daniela Massiceti

Machine learning researcher at Microsoft Research | based in Sydney | PhD @UniofOxford | South African 🇿🇦 | @DeepIndaba 🐘 | maker of things

[Daniela Massiceti @dannimassi]

A bit late to the party, but happy to share our #NeurIPS2024 paper: https://t.co/uLdIKTVjih! We use a causal tracing methodology to study how multi-modal LLMs like LLaVa and Phi retrieve information required to answer factual visual questions. 🔎❓👩🏼‍💻

[Daniela Massiceti @dannimassi]

Find My Things, an object recogniser our team built that helps people who are blind find their personal objects, has been featured by @Microsoft's blog on "6 ways AI is making a difference in the world". Check it out along with some other amazing work by @MSFTResearch and others!

[Microsoft @Microsoft]

AI is enabling change in remarkable ways, from improving health care and education to making life easier for people with disabilities. Read about six ways Microsoft AI is bringing positive change around the world. https://t.co/knxAl9M5iT

[Daniela Massiceti @dannimassi]

You can find code for our work here: https://t.co/PNfEW2Z4CU

[Daniela Massiceti @dannimassi]

A bit late to the party, but happy to share our #NeurIPS2024 paper: https://t.co/uLdIKTVjih! We use a causal tracing methodology to study how multi-modal LLMs like LLaVa and Phi retrieve information required to answer factual visual questions. 🔎❓👩🏼‍💻

[Daniela Massiceti @dannimassi]

Excellent work led by @BasuSamyadeep in collaboration with @FeiziSoheil, @besanushi, Cecily Morrison, and Martin Grayson ���

[Daniela Massiceti @dannimassi]

Check out our #EMNLP paper on how we can improve CLIP's visio-linguistic capabilities by adding a loss term which distills this information from a diffusion model (which has stronger visio-linguistic abilities). Great work led by @BasuSamyadeep

[Samyadeep Basu @BasuSamyadeep]

This #emnlp2024, we have 3 papers on VLM compositionality, prompt tuning and language model interpretability!

(i) https://t.co/LEv41sOBri answers how we can distill good properties of generative models (e.g., compositionality) to contrastive CLIP like models! [Main]

[Daniela Massiceti @dannimassi]

❗ Note, this job advert had a screening question which excluded applicants who were currently completing their PhD. The updated advert has been updated to consider applicants who will complete their PhD by the end of 2024. If you were affected by this, please do re-apply.

[Daniela Massiceti @dannimassi]

Final 2 weeks to apply for an ML post-doc role in Equitable AI with our team at @MSFTResearch Cambridge UK! https://t.co/Hzgp3bkpCP
We're looking for candidates with a PhD in Computer Science, Machine Learning/AI or a related field, a passion for building inclusive AI tech...

[Daniela Massiceti @dannimassi]

...and a strong publication record in any of the following areas: multi-modal generative models, AI fairness/bias, transparency/interpretability, AI ethics, accessibility, data-centric AI, model robustness, OOD generalisation, long-tailed learning, & generative evaluation methods

[Daniela Massiceti @dannimassi]

Check out this role with the Gray Systems Lab (https://t.co/QVLfLEO8r3) at @Microsoft. It's an applied research position that will work closely with the Azure Data product team. Role is based in the US (Seattle, Silicon Valley, or Madison, US). Apply here: https://t.co/AotqgepkQw

[Daniela Massiceti @dannimassi]

@Amir_Arsalan_ A great point. Our team is passionate about working with marginalised communities to understand what it means for a technology to be truly "equitable". Lots of big questions to answer!

[Daniela Massiceti @dannimassi]

Our team at @MSFTResearchCam is hiring a 2-year AI resident to drive progress in equitable multi-modal AI. Candidate should have a PhD in ML/related field with experience in multi-disciplinary research and a passion for equitable tech. Apply here: https://t.co/eiZ3eBHDAF🤓

[Daniela Massiceti @dannimassi]

@gepeng_ji @MSFTResearchCam Our team has filled all intern positions for this year, but keep an eye on the Microsoft Careers portal for future opportunities

[Daniela Massiceti @dannimassi]

Thank you to an amazing group of organizers who have been working in the background to bring this workshop to life for the 5th year running! @DrG_inCS, @jeffbigham, @edcutrell, @AbigaleStangl, Everley (Yu-Yun) Tseng and @Joshmyersdean1 💚

[Daniela Massiceti @dannimassi]

Alongside our stellar invited speakers, at the VizWiz Grand Challenge workshop @CVPR2024 we will also be announcing the winners of 6 #AI Challenges and hearing posters and spotlights from researchers working at the intersection of #computervision and #accessibility/@a11y

[Daniela Massiceti @dannimassi]

Join us to hear about the latest advances in everything from visual question answering, answer grounding, single answer grounding recognition, few-shot video object recognition, few-shot private object localization, and zero-shot image classification 🤓🤩

[Daniela Massiceti @dannimassi]

We are looking forward to welcoming you and these fantastic speakers to #CVPR2024 next week. See you Summit Room 435 next Tuesday 18 June 2024 at 8am-12pm PST!

[Daniela Massiceti @dannimassi]

We're a week away from the VizWiz Grand Challenge Workshop at @CVPR 2024 in Seattle! We have an exciting line-up of invited speakers who will share their insights on the latest in #computervision and assistive technologies for people who are blind/low vision👩🏼‍🦯🤳🏾👨🏾‍🦯 #CVPR2024

[Daniela Massiceti @dannimassi]

Talk 4⃣: Elisa Kreiss (@ElisaKreiss), Assistant Professor @UCLA, Linguistics PhD, and Lab Director of @CoalasLab who will be speaking on "How Communicative Principles (Should) Shape Human-Centred AI for Nonvisual Accessibility"