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    NeurIPS


    Are emergent abilities of large language models a mirage? – Interview with Brando Miranda
    We hear about work that won a NeurIPS 2023 outstanding paper award.
    25 April 2024, by

    AI will let us read ‘lost’ ancient works in the library at Herculaneum for the first time
    First passages of rolled-up Herculaneum scroll revealed.
    19 February 2024, by

    AIhub monthly digest: January 2024 – closed-loop robot planning, crowdsourced clustering, and trustworthiness in GPT models
    Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
    30 January 2024, by

    Interview with Bo Li: A comprehensive assessment of trustworthiness in GPT models
    Find out more about work that won an outstanding datasets and benchmark track award at NeurIPS 2023.
    24 January 2024, by

    #NeurIPS2023 invited talk: Lora Aroyo on data quality and diversity
    Data labelling requires raters to make binary decisions when things are often not that simple. What can experiments tell us about the annotation process?
    17 January 2024, by

    #NeurIPS2023 invited talk: Linda Smith on young humans and self-generated experience
    In her invited talk, Linda Smith spoke about research monitoring young babies and how the findings could inform ML research.
    10 January 2024, by



    AIhub monthly digest: December 2023 – attending NeurIPS, generating 3d models of blood vessels, and the Wizard of AI
    Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
    20 December 2023, by

    #NeurIPS2023 in tweets – part two
    We take a look at what participants have been getting up to during the last few days of the conference.
    18 December 2023, by

    Asymmetric certified robustness via feature-convex neural networks
    We propose the asymmetric certified robustness problem, which requires certified robustness for only one class and reflects real-world adversarial scenarios.
    14 December 2023, by

    #NeurIPS2023 in tweets – part one
    Find out what participants have been getting up to during the first few days of the conference.
    13 December 2023, by

    #NeurIPS2023 outstanding papers
    The outstanding paper awards for 2023 have been announced - congratulations to the winners!
    12 December 2023, by

    What’s coming up at #NeurIPS2023?
    Find out more about the programme of events, including invited talks, tutorials, workshops, and socials.
    07 December 2023, by

    An introduction to science communication at #NeurIPS2023
    Find out more about our short course to be held in-person at NeurIPS on Monday 11 December.
    28 November 2023, by

    Riemannian score-based generative modelling
    The winners of a NeurIPS 2022 best paper award write about their work on generative modelling.
    01 February 2023, by

    Affinity group round-up from NeurIPS 2022
    We share some highlights from the affinity group workshops at NeurIPS 2022.
    08 December 2022, by

    #NeurIPS2022 outstanding paper – Gradient descent: the ultimate optimizer
    Kartik Chandra, Audrey Xie, Jonathan Ragan-Kelley, Erik Meijer, tell us about their work, which won a NeurIPS outstanding paper award.
    30 November 2022, by

    The life of a dataset in machine learning research – interview with Bernard Koch
    Find out more about the advantages and disadvantages of benchmarking, and the lifecycle of datasets within task communities.
    17 February 2022, by

    #NeurIPS2021 invited talks round-up: part three – the collective intelligence of army ants
    In this third round-up of the invited talks at NeurIPS 2021, we cover the final talk by Radhika Nagpal.
    27 January 2022, by

    RLiable: towards reliable evaluation and reporting in reinforcement learning
    Practical approaches to improve the rigour of deep reinforcement learning algorithm comparison.
    19 January 2022, by

    #NeurIPS2021 invited talks round-up: part two – benign overfitting, optimal transport, and human and machine intelligence
    Continuing our series of round-ups of the invited talks from NeurIPS, we cover three more presentations.
    14 January 2022, by

    AIhub monthly digest: December 2021 – #NeurIPS2021, sustainable cities and the Reith lectures
    Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
    20 December 2021, by

    #NeurIPS2021 in tweets – highlights from the first week
    Find out what attendees have been up to at the Neural Information Processing Systems conference.
    13 December 2021, by

    #NeurIPS2021 invited talks round-up: part one – Duolingo, the banality of scale and estimating the mean
    There are eight invited talks at the conference this year. In this post, we give a taster of the first three.
    09 December 2021, by

    #NeurIPS2021 in tweets – highlights from the first two days
    This compilation of tweets gives a flavour of the conference so far, and highlights some forthcoming events.
    07 December 2021, by

    Congratulations to the NeurIPS 2021 award winners!
    The winners of the outstanding paper awards, test of time award, and best paper awards for the datasets and benchmarks track have been announced.
    02 December 2021, by

    What’s coming up at NeurIPS 2021?
    Find out about the talks, workshops, tutorials, and other events scheduled at NeurIPS this year, taking place from 6-14 December, 2021.
    29 November 2021, by

    #NeurIPS2020 invited talks round-up: part three – causal learning and the genomic bottleneck
    We summarise the plenaries from Marloes Maathuis and Anthony M Zador.
    26 March 2021, by

    Monitoring the climate crisis with AI, satellites and drones – a workshop at NeurIPS2020
    As part of the workshop programme at NeurIPS2020, Climate Change AI (CCAI) held an all-day session on "Tackling climate change with machine learning". They also organised a side event on “Monitoring...
    09 March 2021, by

    #NeurIPS2020 invited talks round-up: part two – the real AI revolution, and the future for the invisible workers in AI
    In this post we continue our summaries of the NeurIPS invited talks from the 2020 meeting. Here, we cover the talks by Chris Bishop (Microsoft Research) and Saiph Savage (Carnegie Mellon University)....
    22 January 2021, by

    Preparing for emergency response with partial network information
    By Kristen Perez, Machine Learning Center at Georgia Tech and School of Computational Science and Engineering. Natural disasters cause considerable economic damage, loss of life, and network disrup...
    15 December 2020, by

     
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