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NeurIPS


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

#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

#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


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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...

#NeurIPS2020 invited talks round-up: part one

There were seven interesting and varied invited talks at NeurIPS this year. Here, we summarise the first three, which were given by Charles Isbell (Georgia Tech), Jeff Shamma (King Abdullah University...
11 December 2020, by

Tweet round-up from the first few days of #NeurIPS2020

It's been a busy few days at NeurIPS 2020 so far with all manner of talks, workshops, tutorials and socials on offer. This selection of tweets gives a flavour of the various events and discussions tak...
09 December 2020, by

Congratulations to the #NeurIPS2020 award winners

The winners of the NeurIPS 2020 awards have been announced. This year, three papers have received Best Paper Awards. There was also one Test of Time Award; this recognises a paper that has had signifi...
08 December 2020, by

What’s happening at #NeurIPS this week?

The conference on Neural Information Processing Systems (NeurIPS) 2020 kicked off on Sunday 6th December and will run until Saturday 12th December. Here, we give a brief summary of many of the planned...
07 December 2020, by

NeurIPS – machine learning for health

The Machine Learning for Health workshop at NeurIPS 2019 brought together machine learning researchers, clinicians, and healthcare data experts. With the theme “what makes machine learning in medici...
29 January 2020, by







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