Cem Subakan (@CemSubakan) profile picture

Assistant Professor of Computer Science, Laval University / Associate Academic Member at Mila. Machine Learning Researcher, Speech and Audio, Explainable ML

Joined October 2020
Photo by Cem Subakan (@CemSubakan)Photo by Cem Subakan (@CemSubakan)Photo by Cem Subakan (@CemSubakan)Photo by Cem Subakan (@CemSubakan)Photo by Cem Subakan (@CemSubakan)Photo by Cem Subakan (@CemSubakan)Photo by Cem Subakan (@CemSubakan)Photo by Cem Subakan (@CemSubakan)Photo by Cem Subakan (@CemSubakan)Photo by Cem Subakan (@CemSubakan)
We are happy to share our paper Audio-R1!
Audio-R1 🎧 SSL is still in the game. Now with RL rewards. We turn self-supervised audio tasks into verifiable rewards for RL, improving audio-language models on downstream tasks beyond those used in training. 🌐 ijihoon98.github.io/Audio-R1…
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Cem Subakan retweeted
Audio-R1 🎧 SSL is still in the game. Now with RL rewards. We turn self-supervised audio tasks into verifiable rewards for RL, improving audio-language models on downstream tasks beyond those used in training. 🌐 ijihoon98.github.io/Audio-R1…
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Cem Subakan retweeted
📣 Our ICASSP 2027 workshop welcomes work on explainability, robustness, and controllability in speech and audio broadly. No need to focus on audio language models (ALMs) only. Submissions are open! 🗓️ Deadline: Nov 11, 2026 (AoE) cmsworkshops.com/ICASSP2027/…
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Cem Subakan retweeted
📢 I'm happy to share that our workshop on Explainability, Robustness, and Controllability of Language Modeling for Speech and Audio was accepted at @ieeeICASSP ! If you have ongoing relevant to these topics, consider submitting your work.
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If work with audio language models, you can consider submitting a paper to our ICASSP 2027 workshop!
📢 I'm happy to share that our workshop on Explainability, Robustness, and Controllability of Language Modeling for Speech and Audio was accepted at @ieeeICASSP ! If you have ongoing relevant to these topics, consider submitting your work.
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Cem Subakan retweeted
Excited to share ReTreever, our #ICML2026 paper on hierarchical retrieval at scale! ReTreever learns an inspectable tree over frozen encoder embeddings for fast, scalable, coarse-to-fine retrieval. w/ Zichao Li, Tianyi Chen, @CemSubakan, @sivareddyg, @PerouzT, @vzantedesc 🧵👇
🤖 Made with AI
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Totally deserved!
I’m grateful to have been awarded a Doctoral Research Scholarship from the FRQ @ to support my PhD studies at @universitelaval and @Mila_Quebec. Many thanks to my advisors, @CemSubakan and @mirco_ravanelli and to all my collaborators!
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Cem Subakan retweeted
I’m grateful to have been awarded a Doctoral Research Scholarship from the FRQ @ to support my PhD studies at @universitelaval and @Mila_Quebec. Many thanks to my advisors, @CemSubakan and @mirco_ravanelli and to all my collaborators!
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Conversational AI reading group is back!
🎉 ConvAI Reading Group is back for 2026! This week we welcome Daniel P. W. Ellis (Google DeepMind) presenting his ICML paper: 🎧 Recomposer: Event-roll-guided Audio Editing 📅 Thu, Jan 29 | 11 AM EST 🔗 poonehmousavi.github.io/rg.h… ▶️ youtube.com/@CONVAI_RG
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Cem Subakan retweeted
🎉 ConvAI Reading Group is back for 2026! This week we welcome Daniel P. W. Ellis (Google DeepMind) presenting his ICML paper: 🎧 Recomposer: Event-roll-guided Audio Editing 📅 Thu, Jan 29 | 11 AM EST 🔗 poonehmousavi.github.io/rg.h… ▶️ youtube.com/@CONVAI_RG
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If you are interspeech stop by our poster!
📢 Presenting our paper “LiSTEN: Learning Soft Token Embeddings for Neural Audio LLMs” — an interpretable fine-tuning method for spoken language understanding. 🗓 Wed, Aug 20 | 08:30–10:30 📍 A11-P2B-03 Hope to see you there! 📄 arxiv.org/pdf/2505.18517 @ISCAInterspeech
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Last chance to submit a paper to MLSP 2025!
IEEE MLSP 2025: Deadline extended! The submission deadline is now May 6. - New papers welcome - Revisions accepted 2025.ieeemlsp.org/en/ Don't miss this chance to contribute! #MLSP2025 #MachineLearning #DeepLearning #SignalProcessing #IEEE #CallForPapers #Research
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IEEE MLSP 2025: Deadline extended! The submission deadline is now May 6. - New papers welcome - Revisions accepted 2025.ieeemlsp.org/en/ Don't miss this chance to contribute! #MLSP2025 #MachineLearning #DeepLearning #SignalProcessing #IEEE #CallForPapers #Research
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#IEEE MLSP 2025 – Call for Papers The OpenReview portal is now open! 📅 Deadline: April 22, 2025 🔗 Website: 2025.ieeemlsp.org/ We welcome #papers on #deeplearning, #speech/#audio, #LLMs, #CV, #NLP, #EEG, #optimization, #fintech, #healthcare, #wireless comms, & more!
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This work is a great step towards explainable document retrieval!
🚀 We have released our paper on ReTreever! 🌳🔍 ReTreever organizes and represents documents in a binary tree across various granular levels, balancing cost & utility while enhancing retrieval transparency. 📜 Read it here: arxiv.org/pdf/2502.07971 #AI @ServiceNowRSRCH 🧵👇
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🚀 We have released our paper on ReTreever! 🌳🔍 ReTreever organizes and represents documents in a binary tree across various granular levels, balancing cost & utility while enhancing retrieval transparency. 📜 Read it here: arxiv.org/pdf/2502.07971 #AI @ServiceNowRSRCH 🧵👇
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The Special Session proposal deadline is February 1, please consider organizing one! 2025.ieeemlsp.org/en/CALL-FO… The data competitions proposal deadline is February 15: 2025.ieeemlsp.org/en/CALL-FO…
We are working hard to organize the 35th #IEEE #MachineLearning for #SignalProcessing Workshop (MLSP) in #Istanbul (Aug 31–Sept 3, 2025)! It will be an unforgettable event with inspiring #research, talks, and keynotes. Paper submissions: Apr 22, 2025 2025.ieeemlsp.org/en/
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Cem Subakan retweeted
📢Join our last meeting of 2024 Conversational AI Reading Group on Thursday 19/12/2024, 11 AM-12 PM EST! @mirco_ravanelli presents "Discrete Audio Tokens for Multimodal LLMs" Details: poonehmousavi.github.io/rg You could also follow us on BlueSky : bsky.app/profile/convai-rg.b…
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I will attend #NeurIPS2024 in Vancouver this week. If you'd like to connect, feel free to reach out privately! We’ll present our paper, "Listenable Maps for Zero-Shot Audio Classifiers" (Main Track, Fri 13 Dec 11 a.m. PST - 2 p.m.) arxiv.org/pdf/2405.17615" #AI #DeepLearning
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