We introduced a new framework, AudioLM, that learns to generate realistic speech and piano music by listening to audio only ↓ (3/5)
MACHINE LEARNING
-
STOC FOCS Conference Acceptance Rate Comparison Analysis
By
–
Are you referring to the acceptance rate? It was 37%. Seems relatively high, compared to ML conferences. But STOC/FOCS are incredibly self selective.
-
Scholar Submits Nine Papers to FOCS Conference
By
–
Who is this person submitting 9 papers to FOCS? https://
x.com/ccanonne_/stat
/ccanonne_/status/1587605031129186305
… -

AI Healthcare Applications Making World Healthier
By
–
AI In #HealthCare Is Making Our World Healthier https://
forbes.com/sites/cindygor
don/2022/10/31/ai-in-healthcare-is-making-our-world-healthier/
… @SalesChoice_inc #AI #MachineLearning #DataScience #Python #Robots #BigData #Analytics #100DaysofCode #IoT #serverless #DEVCommunity #womenwhocode #DigitalTransformation #DeepLearning #TensorFlow #Medicine -
Meta AI Columbia U Improve Dialogue Models with Response Refinement
By
–
Meta AI & Columbia U ‘Squeeze the Juice’ to Turn Bad Responses into Good Labels and Boost Dialogue Model Performance https://
syncedreview.com/2022/11/01/met
a-ai-columbia-u-squeeze-the-juice-to-turn-bad-responses-into-good-labels-and-boost-dialogue-model-performance/
… -
Adversarial Robustness Learning Theory Paper Review Process Critique
By
–
"Adversarially Robust Learning with Tolerance" by @ashtiani_hassan
, @OneBigOh
, Urner. 2 +ve reviews, 1 -ve, saying "I implemented the method and it didn't work." But this is a theory paper… Another -ve review 4 days pre-decision, no chance to respond -

NeurIPS 2022 Rejected Papers Now Public for Review
By
–
#NeurIPS2022 papers and reviews are now public, including "Rejected Papers that Opted In for Public Release." Please share your favourite rejected papers (by you or others) in this thread! Show us tough but quality reviews, how reviewing is broken, etc. https://
openreview.net/group?id=NeurI
PS.cc/2022/Conference#rejected-papers-opted-in-public
… -
Passive Optical Components Reduce Client Device Energy Consumption
By
–
An interesting way to reduce energy use on client devices by doing more work via passive optical components. // @MIT_CSAIL // #AI #machinelearning #deeplearning #photonics
-

NVIDIA Isaac and DRIVE Sim Enable Rapid Robot and Vehicle Learning
By
–
With NVIDIA Isaac simulation technology, #robots can earn a PhD in the blink of an eye. And with NVIDIA DRIVE Sim, autonomous vehicles can drive millions of miles in a wide range of simulated scenarios so they navigate safely. Learn more: https://
nvda.ws/3xTkalW #NVIDIAstory -

Yann LeCun’s 1998 gradient-based deep learning paper breakthrough
By
–
#otd in 1998 Yann LeCun submitted a paper on “gradient-based” deep learning for document recognition. It took more than a decade before the world finally warmed to neural networks: https://
bit.ly/3EzX9FD