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NeurIPS
#NeurIPS social media round-up part 2
Lucy Smith
18 Dec 2024
We pick out some highlights from the second half of the conference.
#NeurIPS2024 social media round-up part 1
Lucy Smith
12 Dec 2024
Find out what participants have been getting up to at the Neural Information Processing Systems conference in Vancouver.
What’s coming up at #NeurIPS2024?
Lucy Smith
05 Dec 2024
We take a look at the programme for the forthcoming NeurIPS conference, to take place in Vancouver.
An introduction to science communication at #NeurIPS2024
Lucy Smith
04 Dec 2024
Find out what we are planning to cover in our session at NeurIPS on 10 December.
Are emergent abilities of large language models a mirage? – Interview with Brando Miranda
Lucy Smith
25 Apr 2024
We hear about work that won a NeurIPS 2023 outstanding paper award.
AI will let us read ‘lost’ ancient works in the library at Herculaneum for the first time
The Conversation
19 Feb 2024
First passages of rolled-up Herculaneum scroll revealed.
monthly digest
AIhub monthly digest: January 2024 – closed-loop robot planning, crowdsourced clustering, and trustworthiness in GPT models
Lucy Smith
30 Jan 2024
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
Interview with Bo Li: A comprehensive assessment of trustworthiness in GPT models
Lucy Smith
24 Jan 2024
Find out more about work that won an outstanding datasets and benchmark track award at NeurIPS 2023.
#NeurIPS2023 invited talk: Lora Aroyo on data quality and diversity
Lucy Smith
17 Jan 2024
Data labelling requires raters to make binary decisions when things are often not that simple. What can experiments tell us about the annotation process?
#NeurIPS2023 invited talk: Linda Smith on young humans and self-generated experience
Lucy Smith
10 Jan 2024
In her invited talk, Linda Smith spoke about research monitoring young babies and how the findings could inform ML research.
monthly digest
AIhub monthly digest: December 2023 – attending NeurIPS, generating 3d models of blood vessels, and the Wizard of AI
Lucy Smith
20 Dec 2023
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
#NeurIPS2023 in tweets – part two
Lucy Smith
18 Dec 2023
We take a look at what participants have been getting up to during the last few days of the conference.
Asymmetric certified robustness via feature-convex neural networks
BAIR blog
14 Dec 2023
We propose the asymmetric certified robustness problem, which requires certified robustness for only one class and reflects real-world adversarial scenarios.
#NeurIPS2023 in tweets – part one
Lucy Smith
13 Dec 2023
Find out what participants have been getting up to during the first few days of the conference.
#NeurIPS2023 outstanding papers
Lucy Smith
12 Dec 2023
The outstanding paper awards for 2023 have been announced - congratulations to the winners!
What’s coming up at #NeurIPS2023?
Lucy Smith
07 Dec 2023
Find out more about the programme of events, including invited talks, tutorials, workshops, and socials.
An introduction to science communication at #NeurIPS2023
Lucy Smith
28 Nov 2023
Find out more about our short course to be held in-person at NeurIPS on Monday 11 December.
Riemannian score-based generative modelling
Valentin De Bortoli
01 Feb 2023
The winners of a NeurIPS 2022 best paper award write about their work on generative modelling.
Affinity group round-up from NeurIPS 2022
Joe Daly
08 Dec 2022
We share some highlights from the affinity group workshops at NeurIPS 2022.
#NeurIPS2022 outstanding paper – Gradient descent: the ultimate optimizer
AIhub
30 Nov 2022
Kartik Chandra, Audrey Xie, Jonathan Ragan-Kelley, Erik Meijer, tell us about their work, which won a NeurIPS outstanding paper award.
The life of a dataset in machine learning research – interview with Bernard Koch
Lucy Smith
17 Feb 2022
Find out more about the advantages and disadvantages of benchmarking, and the lifecycle of datasets within task communities.
#NeurIPS2021 invited talks round-up: part three – the collective intelligence of army ants
Lucy Smith
27 Jan 2022
In this third round-up of the invited talks at NeurIPS 2021, we cover the final talk by Radhika Nagpal.
RLiable: towards reliable evaluation and reporting in reinforcement learning
GoogleAI Blog
19 Jan 2022
Practical approaches to improve the rigour of deep reinforcement learning algorithm comparison.
#NeurIPS2021 invited talks round-up: part two – benign overfitting, optimal transport, and human and machine intelligence
Lucy Smith
14 Jan 2022
Continuing our series of round-ups of the invited talks from NeurIPS, we cover three more presentations.
monthly digest
AIhub monthly digest: December 2021 – #NeurIPS2021, sustainable cities and the Reith lectures
Lucy Smith
20 Dec 2021
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
#NeurIPS2021 in tweets – highlights from the first week
Lucy Smith
13 Dec 2021
Find out what attendees have been up to at the Neural Information Processing Systems conference.
#NeurIPS2021 invited talks round-up: part one – Duolingo, the banality of scale and estimating the mean
Lucy Smith
09 Dec 2021
There are eight invited talks at the conference this year. In this post, we give a taster of the first three.
#NeurIPS2021 in tweets – highlights from the first two days
Lucy Smith
07 Dec 2021
This compilation of tweets gives a flavour of the conference so far, and highlights some forthcoming events.
Congratulations to the NeurIPS 2021 award winners!
Lucy Smith
02 Dec 2021
The winners of the outstanding paper awards, test of time award, and best paper awards for the datasets and benchmarks track have been announced.
What’s coming up at NeurIPS 2021?
Lucy Smith
29 Nov 2021
Find out about the talks, workshops, tutorials, and other events scheduled at NeurIPS this year, taking place from 6-14 December, 2021.
#NeurIPS2020 invited talks round-up: part three – causal learning and the genomic bottleneck
Lucy Smith
26 Mar 2021
We summarise the plenaries from Marloes Maathuis and Anthony M Zador.
Monitoring the climate crisis with AI, satellites and drones – a workshop at NeurIPS2020
Lucy Smith
09 Mar 2021
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...
#NeurIPS2020 invited talks round-up: part two – the real AI revolution, and the future for the invisible workers in AI
Lucy Smith
22 Jan 2021
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)....
Preparing for emergency response with partial network information
Machine Learning Center at Georgia Tech
15 Dec 2020
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
Lucy Smith
11 Dec 2020
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...
Tweet round-up from the first few days of #NeurIPS2020
Lucy Smith
09 Dec 2020
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...
