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2024-04-16 06:46:47

Action Model Learning with Guarantees
Diego Aineto, Enrico Scala
2024-04-16 10:04:00

Last Call: Python für Umsteiger – Einstieg in die KI-Sprache für Entwickler
Alle reden von KI und Machine Learning – Python bildet dafür die Basis. Lernen Sie in fünf Webinaren ab dem 25.04. diese Sprache zu beherrschen.
2024-04-17 07:25:58

Learning Deep Dynamical Systems using Stable Neural ODEs
Andreas Sochopoulos, Michael Gienger, Sethu Vijayakumar
2024-05-16 11:42:34

ETC 2024: Sun, Fun, and Tech-Powered Learning for PreK-5 Educators #edtech:
2024-04-16 08:52:04

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2024-04-16 07:35:06

Breast Cancer Image Classification Method Based on Deep Transfer Learning
Weimin Wang, Min Gao, Mingxuan Xiao, Xu Yan, Yufeng Li
2024-04-16 13:30:13

Are we allowed to fail? We are told to learn from our failures...but how? Join the first keynote session at #TNC24 on Tuesday 11 June by Paul Iske on Brilliant Failures: Working together, failing together, #learning together.
Take a look at the programme
2024-04-15 09:06:38

It is not just electric cars, heat pumps, batteries and solar inverters that can be made smart: your radiators too. A Swiss university spin-off aims to optimise individual radiators, taking into account the thermal properties of the room, the forecast weather, etc.
It can make existing central heating systems (e.g. for apartment blocks) or district heating more energy efficient.
2024-04-16 07:04:37

Zero-Shot Code Representation Learning via Prompt Tuning
Nan Cui, Xiaodong Gu, Beijun Shen a…
2024-04-17 07:07:00

Enjeux normatifs des TICE de l'enseignement des langues dans le contexte arabo-berb{\`e}re
Henri Hudrisier (PARAGRAPHE, Chaire Unesco-ITEN), Mokhtar Ben Henda (MICA, ISD, GRESIC, ISIC, Chaire Unesco-ITEN)

In a world overflowing with information, how can we adapt our learning methods to thrive?
Dave Cormier, a pioneering figure in digital education, presents a thought-provoking manifesto in "Learning in a Time of Abundance".
Measuring knowledge through memorization and grades made more sense in a world where information was hard to come by.
Cormier explores the cultural and teaching changes necessary to adapt in the digital age while emphasizing the importance of …
2024-04-17 06:57:57

Federated Learning on Riemannian Manifolds with Differential Privacy
Zhenwei Huang, Wen Huang, Pratik Jawanpuria, Bamdev Mishra
2024-04-16 07:19:30

On Joint Convergence of Traffic State and Weight Vector in Learning-Based Dynamic Routing with Value Function Approximation
Yidan Wu, Jianan Zhang, Li Jin
2024-04-17 08:30:43

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2024-04-16 06:52:44

Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications
Puze Liu, Haitham Bou-Ammar, Jan Peters, Davide Tateo
2024-04-17 07:24:07

How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model
Umberto Tomasini, Matthieu Wyart
2024-06-16 10:00:08

livemocha: Livemocha friendship network (2010)
A network of friendships among users on Livemocha, a large online language learning community. Nodes represent users and edges represent a mutual declaration of friendship.
This network has 104103 nodes and 2193083 edges.
Tags: Social, Online, Unweighted

livemocha: Livemocha friendship network (2010). 104103 nodes, 2193083 edges.
2024-04-16 09:11:16

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2024-03-17 03:25:54

Apple researchers detail MM1, a series of multimodal LLMs with up to 30B parameters they say achieve state-of-the-art performance across multiple AI benchmarks (Michael Nuñez/VentureBeat)
2024-04-16 06:46:52

A Survey on Deep Learning for Theorem Proving
Zhaoyu Li, Jialiang Sun, Logan Murphy, Qidong Su, Zenan Li, Xian Zhang, Kaiyu Yang, Xujie Si
2024-04-17 07:15:18

Learning from Offline and Online Experiences: A Hybrid Adaptive Operator Selection Framework
Jiyuan Pei, Jialin Liu, Yi Mei
2024-04-16 20:36:19

If anyone is interested, I'll be teaching a course on the NIST 2.0 Framework for O'Reilly on May 1 and 2.
Since O'Reilly sells its learning resources mostly to corporations, I'm not sure how you can sign up, but there is a ten-day free trial option on the website.
2024-04-13 05:13:20

Iddink Learning Materials aangevallen door cybercriminelen.
#cybersecurity #onderwijs #iddink
2024-04-16 07:17:46

Countering Mainstream Bias via End-to-End Adaptive Local Learning
Jinhao Pan, Ziwei Zhu, Jianling Wang, Allen Lin, James Caverlee
2024-04-17 06:59:56

Classifying binary black holes from Population III stars with the Einstein Telescope: a machine-learning approach
Filippo Santoliquido, Ulyana Dupletsa, Jacopo Tissino, Marica Branchesi, Francesco Iacovelli, Giuliano Iorio, Michela Mapelli, Davide Gerosa, Jan Harms, Mario Pasquato
2024-05-17 07:29:06

The reaction I started with in learning Kenneth Reitz has a new github repo is not the reaction I ended with upon seeing it 😞
I hope he's ok and gets some help
2024-04-16 06:51:01

Kernel-based learning with guarantees for multi-agent applications
Krzysztof Kowalczyk, Pawe{\l} Wachel, Cristian R. Rojas
2024-05-16 18:05:18

Machine learning to forecast oil and gas price volatility @…
2024-05-16 09:06:52

Oh hey, it’s #GAAD.
Be on the lookout for the (mostly corporate) performative A11yship of #GAAD which is about to fill your timelines.
A couple years ago I demonstrated #overlay companies as the worst offenders:
2024-04-17 08:42:51

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2024-05-15 12:44:41

Ich gebe eine Fortbildung in #Minetest für Pädagog:innen: Game based learning mit Minetest in Religionsunterricht und Konfi-Arbeit,
Donnerstag, 06. Juni 2024
14:30 bis 17:00 Uhr
Das Ganze findet online statt und ist kostenlos. Meldet Euch an und gebt den Tipp weiter!
2024-06-11 16:56:18

New documentary about AI, machine learning and neuroscience
2024-06-17 08:48:07

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2024-05-15 16:48:17

Among Google's announcements yesterday was LearnerLM, an #education trained #llm
2024-05-16 19:38:58

Complex systems are complex.
Had a few inadvertent learning opportunities these past few weeks. Some of them have been easy to sort out, others required the tech equivalent of a Ouija board.
Many could have been solved by project just writing things down.
2024-04-16 08:53:58

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2024-04-16 10:40:03

"fostering peer-learning experiences" ist Englisch für "geht's mir nicht auf die Nerven, macht's das unter euch aus"
2024-04-15 15:16:17

🚀 Ready to dive back into live coding? Join us in our next episode as we continue developing our Android app. Real-time coding, real-time learning! Don’t miss out! Tune in: [Your Stream Link] #AndroidDev #LiveCoding"
2024-04-15 17:22:25

Setlist for one of many annual “One for Duane” benefits we’ve played over the years. Always fun learning or relearning stuff you grew up with.
This one was 10/29/17
#guitar #allmanbrothersband #classicrock

Hand written setlist

Amazing Grace
Little Martha
The Weight
Little Wing
Nobody Knows You
Don’t Want You No More
Not My Cross
Soul Serenade
2024-04-15 06:48:38

Communication-Efficient Model Aggregation with Layer Divergence Feedback in Federated Learning
Liwei Wang, Jun Li, Wen Chen, Qingqing Wu, Ming Ding
2024-05-16 18:46:11

Ki-System würde Grüne wählen. 😂 vielleicht ist das Internet in seiner Gesamtheit doch eher progressiv, wenn die Stastistikmaschine von machine learning sowas ausspukt, nach dem alle zusammen kopiert wurde zum trainieren.<…
2024-04-17 07:26:56

Physical formula enhanced multi-task learning for pharmacokinetics prediction
Ruifeng Li, Dongzhan Zhou, Ancheng Shen, Ao Zhang, Mao Su, Mingqian Li, Hongyang Chen, Gang Chen, Yin Zhang, Shufei Zhang, Yuqiang Li, Wanli Ouyang
2024-06-16 15:22:29

Turns out English has specific rules about adjective order, something I only found out about after some 50 years of learning English. But it's a bit ambiguous even for native speakers like me.
In this case I think "celebrity" is an observation and "gay" is most like origin, so "celebrity gay dads" would be the rule. But both sound right to me, maybe because "gay" is also a kind of observation or "celebrity" is a qualifier.
2024-04-16 09:09:35

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2024-04-17 06:49:56

Privacy Can Arise Endogenously in an Economic System with Learning Agents
Nivasini Ananthakrishnan, Tiffany Ding, Mariel Werner, Sai Praneeth Karimireddy, Michael I. Jordan
2024-06-13 15:30:05

"We ought to approach LLMs not as an imminently world-altering technology, but as an incremental advance on existing technologies. There are areas where that incremental advance will matter a lot. LLMs aren’t going to be the next metaverse, gone and basically forgotten two years later. But they also aren’t such a dramatic break from the recent past."
(Original title: What's in a name? "AI" versus "Machine Learning")
2024-05-16 08:30:04

Heather Flanagan from Spherical Cow Consulting joined our podcast to give us an insight into her #TNC24 session ‘Inside the Classroom’, which will dive into the world of educational technology.
Listen to the episode now:
On Spotify:
2024-05-16 19:47:48

crazy thing about playing #piano: when you start learning a new piece, it is so hard, for so long, and then something breaks through and it seems trivial and you have no idea what was so hard. I wonder if this is just because I am a noob that tinkers and I am missing some aspect of how to properly learn a song to play, Or is this how it is for everyone?
2024-06-16 23:05:32

Canadian writer Myrna Kostash said it best: “What is special about growing up in the Sixties,” she observed, “is how close our learning came to being revolutionary. You can’t get much luckier than that.”
2024-04-16 06:46:55

Deep Reinforcement Learning based Online Scheduling Policy for Deep Neural Network Multi-Tenant Multi-Accelerator Systems
Francesco G. Blanco, Enrico Russo, Maurizio Palesi, Davide Patti, Giuseppe Ascia, Vincenzo Catania
2024-04-17 07:29:36

Numerical Attributes Learning for Cardiac Failure Diagnostic from Clinical Narratives - A LESA-CamemBERT-bio Approach
Boammani Aser Lompo, Thanh-Dung Le
2024-04-17 09:00:10

Ubuntu Voices
Great Australian Pods Podcast Directory: #GreatAusPods

Ubuntu Voices
Screenshot of the podcast listing on the Great Australian Pods website
2024-06-14 06:49:37

LASER: Learning by Aligning Self-supervised Representations of Speech for Improving Content-related Tasks
Amit Meghanani, Thomas Hain
2024-05-16 12:00:07

Come and join Stefana Serban at this year's Berlin Buzzwords to discover how fusing user traffic signals with LLM-derived relevance labels can significantly improve learning to rank models! She'll be sharing a novel approach to improving search relevance for query-product pairs and offering a glimpse into the future of e-commerce search technology. #bbuzz

Short talk - Synergy of Signals: Traffic Logs Meet LLM Labels
Photograph of Stefana Serban
9th-11th June 2024, Kulturbrauerei & Online,
2024-04-17 07:15:03

Join us tonight for an evening of learning and networking at the @… office in Mannheim. Excited to have @… shedding light on Domain-Driven Design. Secure your place:
2024-04-16 07:04:50

Machine Learning Techniques for Python Source Code Vulnerability Detection
Talaya Farasat, Joachim Posegga
2024-04-17 07:25:54

Learning Symbolic Task Representation from a Human-Led Demonstration: A Memory to Store, Retrieve, Consolidate, and Forget Experiences
Luca Buoncompagni, Fulvio Mastrogiovanni
2024-04-16 08:52:09

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Machine learning enables cheaper and safer low-power magnetic resonance imaging (MRI) without sacrificing accuracy, according to a new study.
According to the authors, these advances pave the way for affordable, patient-centric, and deep learning-powered ultra-low-field (ULF) MRI scanners,
addressing unmet clinical needs in diverse healthcare settings worldwide.
2024-04-16 07:35:14

Deep Learning-Based Segmentation of Tumors in PET/CT Volumes: Benchmark of Different Architectures and Training Strategies
Monika G\'orka, Daniel Jaworek, Marek Wodzinski
2024-05-17 08:00:09

livemocha: Livemocha friendship network (2010)
A network of friendships among users on Livemocha, a large online language learning community. Nodes represent users and edges represent a mutual declaration of friendship.
This network has 104103 nodes and 2193083 edges.
Tags: Social, Online, Unweighted

livemocha: Livemocha friendship network (2010). 104103 nodes, 2193083 edges.
2024-04-16 07:19:23

Active Learning for Control-Oriented Identification of Nonlinear Systems
Bruce D. Lee, Ingvar Ziemann, George J. Pappas, Nikolai Matni
2024-04-17 08:27:13

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2024-04-13 05:13:20

Iddink Learning Materials aangevallen door cybercriminelen.
#cybersecurity #onderwijs #iddink
2024-06-14 07:16:38

Bengining overfitting in Fixed Dimension via Physics-Informed Learning with Smooth Iductive Bias
Honam Wong, Wendao Wu, Fanghui Liu, Yiping Lu
2024-04-16 08:54:43

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2024-04-15 06:51:25

Evolutionary Preference Sampling for Pareto Set Learning
Rongguang Ye, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi
2024-04-16 08:53:59

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2024-04-16 06:50:59

Correlated Mean Field Imitation Learning
Zhiyu Zhao, Ning Yang, Xue Yan, Haifeng Zhang, Jun Wang, Yaodong Yang
2024-04-17 07:25:44

Improving Disturbance Estimation and Suppression via Learning among Systems with Mismatched Dynamics
Harsh Modi, Zhu Chen, Xiao Liang, Minghui Zheng
2024-06-14 06:50:07

Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models
Christopher Schr\"oder, Gerhard Heyer
2024-04-17 06:54:17

The Feasibility of Constrained Reinforcement Learning Algorithms: A Tutorial Study
Yujie Yang, Zhilong Zheng, Shengbo Eben Li, Masayoshi Tomizuka, Changliu Liu
2024-04-16 06:52:50

Learning Surface Terrain Classifications from Ground Penetrating Radar
Anja Sheppard, Jason Brown, Nilton Renno, Katherine A. Skinner
2024-05-14 10:30:04

Meet the 2024 GÉANT Future Talent Participants! This year the GÉANT #Learning and Development team (GLAD) are proud to support 17 extremely talented individuals with the development of their public speaking and presentation skills, along with providing unique opportunities for participants to engage with #experts
2024-04-16 08:51:59

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2024-04-15 07:16:57

On the Independence Assumption in Neurosymbolic Learning
Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, Antonio Vergari
2024-04-16 08:54:27

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2024-06-17 07:05:03

Evolving Self-Assembling Neural Networks: From Spontaneous Activity to Experience-Dependent Learning
Erwan Plantec, Joachin W. Pedersen, Milton L. Montero, Eleni Nisioti, Sebastian Risi
2024-06-14 06:54:29

On Security Weaknesses and Vulnerabilities in Deep Learning Systems
Zhongzheng Lai, Huaming Chen, Ruoxi Sun, Yu Zhang, Minhui Xue, Dong Yuan
2024-04-17 08:34:46

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2024-06-14 06:53:53

Blind Super-Resolution via Meta-learning and Markov Chain Monte Carlo Simulation
Jingyuan Xia, Zhixiong Yang, Shengxi Li, Shuanghui Zhang, Yaowen Fu, Deniz G\"und\"uz, Xiang Li
2024-04-17 07:26:01

Constrained Object Placement Using Reinforcement Learning
Benedikt Kreis, Nils Dengler, Jorge de Heuvel, Rohit Menon, Hamsa Datta Perur, Maren Bennewitz
2024-04-15 07:16:57

On the Independence Assumption in Neurosymbolic Learning
Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, Antonio Vergari
2024-04-17 08:33:44

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2024-04-16 06:54:10

Autonomous Path Planning for Intercostal Robotic Ultrasound Imaging Using Reinforcement Learning
Yuan Bi, Cheng Qian, Zhicheng Zhang, Nassir Navab, Zhongliang Jiang
2024-06-14 06:54:29

On Security Weaknesses and Vulnerabilities in Deep Learning Systems
Zhongzheng Lai, Huaming Chen, Ruoxi Sun, Yu Zhang, Minhui Xue, Dong Yuan
2024-04-16 08:59:23

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2024-04-17 07:24:02

Lighter, Better, Faster Multi-Source Domain Adaptation with Gaussian Mixture Models and Optimal Transport
Eduardo Fernandes Montesuma, Fred Ngol\`e Mboula, Antoine Souloumiac
2024-04-16 06:52:54

Learning Cross-hand Policies for High-DOF Reaching and Grasping
Qijin She, Shishun Zhang, Yunfan Ye, Min Liu, Ruizhen Hu, Kai Xu
2024-04-17 06:54:21

Learning and Optimization for Price-based Demand Response of Electric Vehicle Charging
Chengyang Gu, Yuxin Pan, Ruohong Liu, Yize Chen
2024-04-17 07:26:03

Trajectory Planning using Reinforcement Learning for Interactive Overtaking Maneuvers in Autonomous Racing Scenarios
Levent \"Ogretmen, Mo Chen, Phillip Pitschi, Boris Lohmann
2024-04-17 06:54:20

Disturbance Rejection-Guarded Learning for Vibration Suppression of Two-Inertia Systems
Fan Zhang, Jinfeng Chen, Yu Hu, Zhiqiang Gao, Ge Lv, Qin Lin
2024-04-17 08:32:08

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2024-04-16 07:19:27

Data-driven AC Optimal Power Flow with Physics-informed Learning and Calibrations
Junfei Wang, Pirathayini Srikantha
2024-04-16 06:53:45

Real-world Instance-specific Image Goal Navigation for Service Robots: Bridging the Domain Gap with Contrastive Learning
Taichi Sakaguchi, Akira Taniguchi, Yoshinobu Hagiwara, Lotfi El Hafi, Shoichi Hasegawa, Tadahiro Taniguchi
2024-04-17 08:31:56

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2024-04-17 07:26:06

SCALE: Self-Correcting Visual Navigation for Mobile Robots via Anti-Novelty Estimation
Chang Chen, Yuecheng Liu, Yuzheng Zhuang, Sitong Mao, Kaiwen Xue, Shunbo Zhou
2024-04-17 08:31:42

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