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#neurips2024 — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #neurips2024, aggregated by home.social.

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  1. In the latest FCAI #Newsletter:
    - 2024 Year in Review
    - #NeurIPS2024 papers from 🇫🇮
    - This year's #machinelearning Nobel Prizes
    - Plus, we are #hiring postdocs, PhD students and research fellows!

    Read more here: mailchi.mp/a1bf1808b285/fcai-n

  2. In the latest FCAI #Newsletter:
    - 2024 Year in Review
    - #NeurIPS2024 papers from 🇫🇮
    - This year's #machinelearning Nobel Prizes
    - Plus, we are #hiring postdocs, PhD students and research fellows!

    Read more here: mailchi.mp/a1bf1808b285/fcai-n

  3. In the latest FCAI #Newsletter:
    - 2024 Year in Review
    - #NeurIPS2024 papers from 🇫🇮
    - This year's #machinelearning Nobel Prizes
    - Plus, we are #hiring postdocs, PhD students and research fellows!

    Read more here: mailchi.mp/a1bf1808b285/fcai-n

  4. In the latest FCAI #Newsletter:
    - 2024 Year in Review
    - #NeurIPS2024 papers from 🇫🇮
    - This year's #machinelearning Nobel Prizes
    - Plus, we are #hiring postdocs, PhD students and research fellows!

    Read more here: mailchi.mp/a1bf1808b285/fcai-n

  5. In the latest FCAI #Newsletter:
    - 2024 Year in Review
    - #NeurIPS2024 papers from 🇫🇮
    - This year's #machinelearning Nobel Prizes
    - Plus, we are #hiring postdocs, PhD students and research fellows!

    Read more here: mailchi.mp/a1bf1808b285/fcai-n

  6. Julen Etxaniz, Imanol Miranda eta Gorka Azkune Vancouverren egon dira #NeurIPS2024 konferentzian beren lana aurkezten.

  7. My #NeurIPS2024 summary:
    - Keynote racism 😱☠️x.com/xwang_lk/status/18678197
    - Best Paper ethical dumpster fire 🔥 var-integrity-report.github.io
    - tiny but non-zero roundtable on 'harms of AI' (facilitated by yrs truly) creativity-ai.github.io/ 😁✊

  8. My #NeurIPS2024 summary:
    - Keynote racism 😱☠️x.com/xwang_lk/status/18678197
    - Best Paper ethical dumpster fire 🔥 var-integrity-report.github.io
    - tiny but non-zero roundtable on 'harms of AI' (facilitated by yrs truly) creativity-ai.github.io/ 😁✊

  9. My #NeurIPS2024 summary:
    - Keynote racism 😱☠️x.com/xwang_lk/status/18678197
    - Best Paper ethical dumpster fire 🔥 var-integrity-report.github.io
    - tiny but non-zero roundtable on 'harms of AI' (facilitated by yrs truly) creativity-ai.github.io/ 😁✊

  10. My #NeurIPS2024 summary:
    - Keynote racism 😱☠️x.com/xwang_lk/status/18678197
    - Best Paper ethical dumpster fire 🔥 var-integrity-report.github.io
    - tiny but non-zero roundtable on 'harms of AI' (facilitated by yrs truly) creativity-ai.github.io/ 😁✊

  11. My #NeurIPS2024 summary:
    - Keynote racism 😱☠️x.com/xwang_lk/status/18678197
    - Best Paper ethical dumpster fire 🔥 var-integrity-report.github.io
    - tiny but non-zero roundtable on 'harms of AI' (facilitated by yrs truly) creativity-ai.github.io/ 😁✊

  12. LLMs "hallucinate" by making up information instead of revealing their lack of knowledge 🤔

    Our #NeurIPS2024 paper adds an [I-Don't-Know] 🤷🏾‍♂️ token to the LLM and fine-tunes it to predict this instead of hallucinating.

    No extra annotation is needed for training! Our IDK objective divides the shifted probability mass between the gold token and I-Don't-Know token for wrong predictions.

    Details in the paper👉🏾 arxiv.org/abs/2412.06676v1

    w/ Roi Cohen, Konstantin Dobler, Eden Biran

  13. LLMs "hallucinate" by making up information instead of revealing their lack of knowledge 🤔

    Our #NeurIPS2024 paper adds an [I-Don't-Know] 🤷🏾‍♂️ token to the LLM and fine-tunes it to predict this instead of hallucinating.

    No extra annotation is needed for training! Our IDK objective divides the shifted probability mass between the gold token and I-Don't-Know token for wrong predictions.

    Details in the paper👉🏾 arxiv.org/abs/2412.06676v1

    w/ Roi Cohen, Konstantin Dobler, Eden Biran

  14. LLMs "hallucinate" by making up information instead of revealing their lack of knowledge 🤔

    Our #NeurIPS2024 paper adds an [I-Don't-Know] 🤷🏾‍♂️ token to the LLM and fine-tunes it to predict this instead of hallucinating.

    No extra annotation is needed for training! Our IDK objective divides the shifted probability mass between the gold token and I-Don't-Know token for wrong predictions.

    Details in the paper👉🏾 arxiv.org/abs/2412.06676v1

    w/ Roi Cohen, Konstantin Dobler, Eden Biran

  15. LLMs "hallucinate" by making up information instead of revealing their lack of knowledge 🤔

    Our #NeurIPS2024 paper adds an [I-Don't-Know] 🤷🏾‍♂️ token to the LLM and fine-tunes it to predict this instead of hallucinating.

    No extra annotation is needed for training! Our IDK objective divides the shifted probability mass between the gold token and I-Don't-Know token for wrong predictions.

    Details in the paper👉🏾 arxiv.org/abs/2412.06676v1

    w/ Roi Cohen, Konstantin Dobler, Eden Biran

  16. LLMs "hallucinate" by making up information instead of revealing their lack of knowledge 🤔

    Our #NeurIPS2024 paper adds an [I-Don't-Know] 🤷🏾‍♂️ token to the LLM and fine-tunes it to predict this instead of hallucinating.

    No extra annotation is needed for training! Our IDK objective divides the shifted probability mass between the gold token and I-Don't-Know token for wrong predictions.

    Details in the paper👉🏾 arxiv.org/abs/2412.06676v1

    w/ Roi Cohen, Konstantin Dobler, Eden Biran

  17. Are you using Bayesian models to infer discrete parameters, like phylogenetic trees, but don't want to keep growing your dataset as new observations arrive? Come join me and Diego ( weakly-informative.github.io/ ) to learn more at the #NeurIPS2024 11am poster session in the East Exhibit Hall 4010.

    This work was driven by our amazing Tiago da Silva ( tiagodsilva.github.io/ ) who is soon finishing his joint master's and PhD program. Our paper is at arxiv.org/abs/2411.05899 and neurips.cc/virtual/2024/poster

  18. Are you using Bayesian models to infer discrete parameters, like phylogenetic trees, but don't want to keep growing your dataset as new observations arrive? Come join me and Diego ( weakly-informative.github.io/ ) to learn more at the #NeurIPS2024 11am poster session in the East Exhibit Hall 4010.

    This work was driven by our amazing Tiago da Silva ( tiagodsilva.github.io/ ) who is soon finishing his joint master's and PhD program. Our paper is at arxiv.org/abs/2411.05899 and neurips.cc/virtual/2024/poster

  19. Are you using Bayesian models to infer discrete parameters, like phylogenetic trees, but don't want to keep growing your dataset as new observations arrive? Come join me and Diego ( weakly-informative.github.io/ ) to learn more at the #NeurIPS2024 11am poster session in the East Exhibit Hall 4010.

    This work was driven by our amazing Tiago da Silva ( tiagodsilva.github.io/ ) who is soon finishing his joint master's and PhD program. Our paper is at arxiv.org/abs/2411.05899 and neurips.cc/virtual/2024/poster

  20. Are you using Bayesian models to infer discrete parameters, like phylogenetic trees, but don't want to keep growing your dataset as new observations arrive? Come join me and Diego ( weakly-informative.github.io/ ) to learn more at the #NeurIPS2024 11am poster session in the East Exhibit Hall 4010.

    This work was driven by our amazing Tiago da Silva ( tiagodsilva.github.io/ ) who is soon finishing his joint master's and PhD program. Our paper is at arxiv.org/abs/2411.05899 and neurips.cc/virtual/2024/poster

  21. Enjoying second day of NeuroIPS #neurips2024 Check out on-demand content and papers neurips.cc/

  22. Enjoying second day of NeuroIPS #neurips2024 Check out on-demand content and papers neurips.cc/

  23. This week at #neurips2024: our work on "Diversity Progress” (DP) to improve unsupervised skill learning. Instead of choosing the next goal to pursue uniformly, it informs non-uniform goal sampling from an agent’s beliefs about how much pursuing the goals will diversify its skills. Meet authors Erik Lintunen & Nadia Ady at the Intrinsically Motivated Open-ended Learning workshop: Sun 15th, 8:15+, West Meeting Room 217–219. Paper: openreview.net/forum?id=nz9iqu

  24. This week at #neurips2024: our work on "Diversity Progress” (DP) to improve unsupervised skill learning. Instead of choosing the next goal to pursue uniformly, it informs non-uniform goal sampling from an agent’s beliefs about how much pursuing the goals will diversify its skills. Meet authors Erik Lintunen & Nadia Ady at the Intrinsically Motivated Open-ended Learning workshop: Sun 15th, 8:15+, West Meeting Room 217–219. Paper: openreview.net/forum?id=nz9iqu

  25. This week at #neurips2024: our work on "Diversity Progress” (DP) to improve unsupervised skill learning. Instead of choosing the next goal to pursue uniformly, it informs non-uniform goal sampling from an agent’s beliefs about how much pursuing the goals will diversify its skills. Meet authors Erik Lintunen & Nadia Ady at the Intrinsically Motivated Open-ended Learning workshop: Sun 15th, 8:15+, West Meeting Room 217–219. Paper: openreview.net/forum?id=nz9iqu

  26. This week at #neurips2024: our work on "Diversity Progress” (DP) to improve unsupervised skill learning. Instead of choosing the next goal to pursue uniformly, it informs non-uniform goal sampling from an agent’s beliefs about how much pursuing the goals will diversify its skills. Meet authors Erik Lintunen & Nadia Ady at the Intrinsically Motivated Open-ended Learning workshop: Sun 15th, 8:15+, West Meeting Room 217–219. Paper: openreview.net/forum?id=nz9iqu

  27. I'm not at #NeurIPS2024 :-/ but my fantastic collaborators are and will present our work
    "Distributional Preference Alignment of LLMs via Optimal Transport" tomorrow Wed 11 Dec 11 a.m.

    Check it out!
    neurips.cc/virtual/2024/poster

    #AI #LLM #MachineLearning #RLHF

  28. I'm not at #NeurIPS2024 :-/ but my fantastic collaborators are and will present our work
    "Distributional Preference Alignment of LLMs via Optimal Transport" tomorrow Wed 11 Dec 11 a.m.

    Check it out!
    neurips.cc/virtual/2024/poster

    #AI #LLM #MachineLearning #RLHF

  29. I'm not at #NeurIPS2024 :-/ but my fantastic collaborators are and will present our work
    "Distributional Preference Alignment of LLMs via Optimal Transport" tomorrow Wed 11 Dec 11 a.m.

    Check it out!
    neurips.cc/virtual/2024/poster

    #AI #LLM #MachineLearning #RLHF

  30. I'm not at #NeurIPS2024 :-/ but my fantastic collaborators are and will present our work
    "Distributional Preference Alignment of LLMs via Optimal Transport" tomorrow Wed 11 Dec 11 a.m.

    Check it out!
    neurips.cc/virtual/2024/poster

    #AI #LLM #MachineLearning #RLHF

  31. I'm not at #NeurIPS2024 :-/ but my fantastic collaborators are and will present our work
    "Distributional Preference Alignment of LLMs via Optimal Transport" tomorrow Wed 11 Dec 11 a.m.

    Check it out!
    neurips.cc/virtual/2024/poster

    #AI #LLM #MachineLearning #RLHF

  32. CW: AI-Related

    Heading to #Neurips2024 and feeling overwhelmed by the 4k+ papers? 🤯 Check out my paper explorer! Just enter your query and find related papers instantly using sentence embeddings and dimensionality reduction. #dataviz

    👉🏼johnguerra.co/viz/neurips2024P

  33. CW: AI-Related

    Heading to #Neurips2024 and feeling overwhelmed by the 4k+ papers? 🤯 Check out my paper explorer! Just enter your query and find related papers instantly using sentence embeddings and dimensionality reduction. #dataviz

    👉🏼johnguerra.co/viz/neurips2024P