LP Morency @lpmorency
Associate Professor at CMU studying multimodal and Social AI. Ice hockey goalie. multicomp.cs.cmu.edu Pittsburgh, PA Joined April 2015-
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Curious about socially-intelligent AI? Check out our paper on underlying technical challenges, open questions, and opportunities to advance social intelligence in AI agents: Work w/ @lpmorency, @pliang279 📰Paper: arxiv.org/abs/2404.11023 💻Repo: github.com/l-mathur/socia… 🧵1/9
Agreed! Multimodal ML is not just a sub-area of various modalities. @lpmorency is one of the researchers who has believed in multimodal for years. Anyone interested in multimodal ML should check out his course on this topic, co-taught with @pliang279! cmu-multicomp-lab.github.io/mmml-course/fa…
Agreed! Multimodal ML is not just a sub-area of various modalities. @lpmorency is one of the researchers who has believed in multimodal for years. Anyone interested in multimodal ML should check out his course on this topic, co-taught with @pliang279! cmu-multicomp-lab.github.io/mmml-course/fa…
Excited to attend #NeurIPS2023 this week! Find me to chat about the foundations of multimodal machine learning, multisensory foundation models, interactive multimodal agents, and their applications. I'm also on the academic job market, you can find my statements on my website:…
Despite the successes of contrastive learning (eg CLIP), they have a fundamental limitation - it can only capture *shared* info between modalities, and ignores *unique* info To fix it, a thread for our #NeurIPS2023 paper w Zihao Martin @james_y_zou @lpmorency @rsalakhu:
Check out our #EMNLP2023 paper on Difference-Masking, an approach for choosing what to mask during continued pretraining!
Check out our #EMNLP2023 paper on Difference-Masking, an approach for choosing what to mask during continued pretraining!
If your downstream task data is quite different from your pretraining data, make sure you check out our new approach *Difference-Masking* at #EMNLP2023 findings. Excellent results on classifying citation networks, chemistry text, social videos, TV shows etc. see thread below:
If your downstream task data is quite different from your pretraining data, make sure you check out our new approach *Difference-Masking* at #EMNLP2023 findings. Excellent results on classifying citation networks, chemistry text, social videos, TV shows etc. see thread below:
In continued pretraining, how can we choose what to mask when the pretraining domain differs from the target domain? In our #EMNLP2023 paper, we propose Difference-Masking to address this problem and boost downstream task performance! Paper: arxiv.org/abs/2305.14577
Multimodal AI studies the info in each modality & how it relates or combines with other modalities. This past year, we've been working towards a **foundation** for multimodal AI: I'm excited to share our progress at #NeurIPS2023 & #ICMI2023: arxiv.org/abs/2302.12247 see long 🧵:
led by @_dongwonlee, with @chahuja Sanika Natu @lpmorency @LTIatCMU @mldcmu code and dataset publicly available paper: openaccess.thecvf.com/content/ICCV20… code: github.com/dondongwon/LPM…
At ICCV, we'll be presenting our work on a new dataset/benchmark for evaluating vision-language models for educational content! This is one of the first and few works to enable AI-based educational tutors. openaccess.thecvf.com/content/ICCV20…
Adapting Generative models for co-speech gestures to new speakers, but without forgetting the style of previous speakers? Let’s make it more challenging by only having 2-10 minutes of data for the new speakers. Website: chahuja.com/cdiffgan Find us at #ICCV2023 1/n
The Artificial Social Intelligence Workshop and Inaugural Social-IQ Challenge are happening soon @ICCVConference in Paris next week! 🇫🇷 This event will start at 9:15 am on Monday, October 2 in Room E01 (hybrid option available). Full schedule here: sites.google.com/view/asi-iccv-…
The Artificial Social Intelligence Workshop and Inaugural Social-IQ Challenge are happening soon @ICCVConference in Paris next week! 🇫🇷 This event will start at 9:15 am on Monday, October 2 in Room E01 (hybrid option available). Full schedule here: sites.google.com/view/asi-iccv-…
🔍 Louis-Philippe Morency @lpmorency breaks it down: 1️⃣ Modalities are often linked—statistically or semantically 2️⃣ Statistical links are bottom-up; Semantic links are top-down 3️⃣ Relationships can be complex—think dependencies 🧠 From a captivating talk - time to rethink how we…
Happening in ~2 hours at #ICML2023 930am @ exhibit hall 2 Also happy to chat about - understanding multimodal interactions and modeling them - models for many diverse modalities esp beyond image+text - Applications in health, robots, education, social intelligence & more DM me!
Happening in ~2 hours at #ICML2023 930am @ exhibit hall 2 Also happy to chat about - understanding multimodal interactions and modeling them - models for many diverse modalities esp beyond image+text - Applications in health, robots, education, social intelligence & more DM me!
📣 Final deadline for both workshop and challenge submissions has been extended to July 24 AoE!
📣 Final deadline for both workshop and challenge submissions has been extended to July 24 AoE!
If you're attending #ICML2023 don't miss our tutorial on multimodal ML (w @lpmorency) Content: 1. Three key principles of modality heterogeneity, connections & interactions 2. Six technical challenges 3. Open research questions Monday July 24, 930 am Hawaii time, Exhibit Hall 2
📣 July 21 is the paper deadline for the Artificial Social Intelligence Workshop and Social-IQ Challenge at ICCV 2023! Workshop and challenge papers can be submitted through the same CMT link. We welcome submissions 🎉 and more info is here: sites.google.com/view/asi-iccv-…
📣 July 21 is the paper deadline for the Artificial Social Intelligence Workshop and Social-IQ Challenge at ICCV 2023! Workshop and challenge papers can be submitted through the same CMT link. We welcome submissions 🎉 and more info is here: sites.google.com/view/asi-iccv-…
(ACL 2023) Can you control language model generation with only 8 samples? Check out our paper on few-shot human-in-the-loop text generation control: arxiv.org/abs/2211.05750. ACL Findings Spotlight: Mon 7-9pm ET (Metropolitan Centre) RepL4NLP Workshop: Thu 11-12pm ET (Harbour B)
If you are #ACL2023, learn about a simple data intervention approach to reduce gender bias in language models at my poster presentation on Tuesday at 11:00 AM EDT! Thanks to my co-authors and mentors @pliang279 and @lpmorency for their guidance. #NLP #MachineLearning
I'm on the faculty market in fall 2023! I work on foundations of multimodal ML applied to NLP, socially intelligent AI & health. My research & teaching cs.cmu.edu/~pliang/ If I could be a good fit for your department, I'd love to chat at #ACL2023NLP & #ICML2023 DM/email me!
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Our @FDA Milestone! @deliberate_ai AI-COA™ is part of ISTAND, Breaking New Ground in AI and Mental Health! bit.ly/3S6cZjC #DigitalHealth #HealthTech #Medtech #Multimodal #AI #PharmaInnovation #ClinicalTrials #Depression #Anxiety #AIEthics #AIinHealthcare
FDA's Innovative Science and Technology Approaches for New Drugs (ISTAND) Pilot Program has accepted a submission of the first artificial intelligence-based and digital health technology for neuroscience: fda.gov/drugs/drug-saf…
EVENT: Paul Liang from CMU will present "Foundations of Multisensory #AI" in a Duke CS-ECE Colloquium on Feb. 1, 1:30-2:30 PM in LSRC D-106 with lunch at 1:15 PM. Join us! bit.ly/dukecs-ece-1fe…
Agreed! Multimodal ML is not just a sub-area of various modalities. @lpmorency is one of the researchers who has believed in multimodal for years. Anyone interested in multimodal ML should check out his course on this topic, co-taught with @pliang279! cmu-multicomp-lab.github.io/mmml-course/fa…
Five years ago, multimodal research like vision & language was considered a subarea of either computer vision or NLP. Multimodal researchers often faced skepticism about their field. Today, it is widely realized that multimodal is both now & future. #GotToHaveYourResearchBelief
Excited to attend #NeurIPS2023 this week! Find me to chat about the foundations of multimodal machine learning, multisensory foundation models, interactive multimodal agents, and their applications. I'm also on the academic job market, you can find my statements on my website:…
In multimodal contrastive learning, how can we capture task-relevant information unique to each modality beyond shared information? At #NeurIPS2023 Wed 13 Dec 5PM, Hall B1+B2 #815, we will be presenting Factorized Contrastive Learning, which addresses this problem.
Despite the successes of contrastive learning (eg CLIP), they have a fundamental limitation - it can only capture *shared* info between modalities, and ignores *unique* info To fix it, a thread for our #NeurIPS2023 paper w Zihao Martin @james_y_zou @lpmorency @rsalakhu:
Despite the successes of contrastive learning (eg CLIP), they have a fundamental limitation - it can only capture *shared* info between modalities, and ignores *unique* info To fix it, a thread for our #NeurIPS2023 paper w Zihao Martin @james_y_zou @lpmorency @rsalakhu:
Check out our #EMNLP2023 paper on Difference-Masking, an approach for choosing what to mask during continued pretraining!
In continued pretraining, how can we choose what to mask when the pretraining domain differs from the target domain? In our #EMNLP2023 paper, we propose Difference-Masking to address this problem and boost downstream task performance! Paper: arxiv.org/abs/2305.14577
If your downstream task data is quite different from your pretraining data, make sure you check out our new approach *Difference-Masking* at #EMNLP2023 findings. Excellent results on classifying citation networks, chemistry text, social videos, TV shows etc. see thread below:
In continued pretraining, how can we choose what to mask when the pretraining domain differs from the target domain? In our #EMNLP2023 paper, we propose Difference-Masking to address this problem and boost downstream task performance! Paper: arxiv.org/abs/2305.14577
In continued pretraining, how can we choose what to mask when the pretraining domain differs from the target domain? In our #EMNLP2023 paper, we propose Difference-Masking to address this problem and boost downstream task performance! Paper: arxiv.org/abs/2305.14577
Multimodal AI studies the info in each modality & how it relates or combines with other modalities. This past year, we've been working towards a **foundation** for multimodal AI: I'm excited to share our progress at #NeurIPS2023 & #ICMI2023: arxiv.org/abs/2302.12247 see long 🧵:
led by @_dongwonlee, with @chahuja Sanika Natu @lpmorency @LTIatCMU @mldcmu code and dataset publicly available paper: openaccess.thecvf.com/content/ICCV20… code: github.com/dondongwon/LPM…
🔍 Louis-Philippe Morency @lpmorency breaks it down: 1️⃣ Modalities are often linked—statistically or semantically 2️⃣ Statistical links are bottom-up; Semantic links are top-down 3️⃣ Relationships can be complex—think dependencies 🧠 From a captivating talk - time to rethink how we…
icymi @ #ICML2023, the latest multimodal ML tutorial slides are posted here: cmu-multicomp-lab.github.io/mmml-tutorial/… along with a reading list of important work covered in the tutorial, as well as slides and videos for previous versions (more application focused)
If you're attending #ICML2023 don't miss our tutorial on multimodal ML (w @lpmorency) Content: 1. Three key principles of modality heterogeneity, connections & interactions 2. Six technical challenges 3. Open research questions Monday July 24, 930 am Hawaii time, Exhibit Hall 2
Happening in ~2 hours at #ICML2023 930am @ exhibit hall 2 Also happy to chat about - understanding multimodal interactions and modeling them - models for many diverse modalities esp beyond image+text - Applications in health, robots, education, social intelligence & more DM me!
If you're attending #ICML2023 don't miss our tutorial on multimodal ML (w @lpmorency) Content: 1. Three key principles of modality heterogeneity, connections & interactions 2. Six technical challenges 3. Open research questions Monday July 24, 930 am Hawaii time, Exhibit Hall 2
📣 Final deadline for both workshop and challenge submissions has been extended to July 24 AoE!
Excited to announce the Artificial Social Intelligence Workshop and Inaugural Social-IQ Challenge, to be held together @ICCVConference! This full-day workshop will occur on October 2 in Paris 🇫🇷, with an interactive hybrid option available too. sites.google.com/view/asi-iccv-…
If you're attending #ICML2023 don't miss our tutorial on multimodal ML (w @lpmorency) Content: 1. Three key principles of modality heterogeneity, connections & interactions 2. Six technical challenges 3. Open research questions Monday July 24, 930 am Hawaii time, Exhibit Hall 2
📣 July 21 is the paper deadline for the Artificial Social Intelligence Workshop and Social-IQ Challenge at ICCV 2023! Workshop and challenge papers can be submitted through the same CMT link. We welcome submissions 🎉 and more info is here: sites.google.com/view/asi-iccv-…
Excited to announce the Artificial Social Intelligence Workshop and Inaugural Social-IQ Challenge, to be held together @ICCVConference! This full-day workshop will occur on October 2 in Paris 🇫🇷, with an interactive hybrid option available too. sites.google.com/view/asi-iccv-…
We all know that LMs can generate biased and toxic content :-( At #ACL2023NLP we propose a method for *few-shot* debiasing of trained LMs: modifying as few as *10* sentences and fine-tuning the LM results in strong reductions in bias: arxiv.org/abs/2306.04597 see full thread:
If you are #ACL2023, learn about a simple data intervention approach to reduce gender bias in language models at my poster presentation on Tuesday at 11:00 AM EDT! Thanks to my co-authors and mentors @pliang279 and @lpmorency for their guidance. #NLP #MachineLearning
At #ACL2023NLP, we'll be presenting our latest work on controlling the distribution of LM-generated text in order to mitigate bias and promote fairness & personalization. We achieve extreme few-shot control, using as few as 8 samples of human feedback! arxiv.org/abs/2211.05750
(ACL 2023) Can you control language model generation with only 8 samples? Check out our paper on few-shot human-in-the-loop text generation control: arxiv.org/abs/2211.05750. ACL Findings Spotlight: Mon 7-9pm ET (Metropolitan Centre) RepL4NLP Workshop: Thu 11-12pm ET (Harbour B)
(ACL 2023) Can you control language model generation with only 8 samples? Check out our paper on few-shot human-in-the-loop text generation control: arxiv.org/abs/2211.05750. ACL Findings Spotlight: Mon 7-9pm ET (Metropolitan Centre) RepL4NLP Workshop: Thu 11-12pm ET (Harbour B)
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