Impactful AI: Creating the World We Want to See – Talk by Dr. Richard Socher, Salesforce’s Chief Scientist
Feldman Senate Building (#301) - Weissfeld Conference Room. Bar Ilan University https://goo.gl/maps/QuBjdqKBW97WRSbo9(Talk canceled) Title: Impactful AI: Creating the World We Want to See Abstract: AI is only as good as the people who use it and the datasets they train with. Join Salesforce's Chief Scientist, Dr. Richard Socher, as he outlines the research his team works on and it's applications in business and in AI for good. He'll ... Read more
CS Colloquium: Learning-Based Methods for Automating Exploratory Data Analysis by Amit Somech, TAU
חדר מחלקה – בניין 216 קומה 2 2nd Floor Colloquium, Building 216, Room 201Amit Somech from tell Aviv University. The lecture will be given in zoom zoom link: https://zoom.us/j4595130079 Thursday noon 12:00 Title: Learning-Based Methods for Automating Exploratory Data Analysis Abstract: Exploratory Data Analysis (EDA) is an integral part of the data-science pipeline, in which users interactively explore datasets by issuing a sequence of analysis operations (e.g. filter, aggregation, and visualization). ... Read more
No Exit? Three International Experts’ Mathematical Models on Lifting the Lockdown
ZoomAcademic Webinar, Wednesday, June 10, at 12 pm EST (7 pm Israel time) “No Exit? Three International Experts’ Mathematical Models on Lifting the Lockdown” Dr. Baruch Barzel, Director of BIU’s Complex Network Dynamics Laboratory, will join two other renowned authorities on an academic webinar – “No Exit? Three International Experts’ Mathematical Models on Lifting the ... Read more
Surprises in Deep Learning Training – Learning Club talk by Daniel Soudry, Technion
https://zoom.us/j/8461826978On Sunday 21.6 12:00 we will host Daniel Soudry from the Technion in our machine learning seminar. The talk will be about new findings in training deep neural networks, from a number of recent publications by Daniel’s group (see more details below). Due to the coronavirus the talk will take place via zoom: https://zoom.us/j/8461826978 See you ... Read more
Symmetries and Universality – Learning Club talk by Dr. Ethan Fetaya
https://zoom.us/j/99197317021On Sunday 26.1 12:00 we will host Ethan Fetaya. Ethan will present his ICML best paper on Symmetries and Universality (joint work with Haggai Maron, Or Litany and Gal Chechik). See paper here, and further details below. The talk will take place over zoom like last time. Zoom link: https://zoom.us/j/99197317021 See you all soon, Felix — Title: "Symmetries and ... Read more
iGDL 2020: Israeli Geometric Deep Learning Workshop
We are excited to announce the first Israeli workshop on geometric deep learning (iGDL) that will take place on August 2nd, 2020 2 PM-6 PM (Israel timezone). The workshop will be in English, and will take place virtually via Zoom due to COVID19 restrictions. For registration and details - https://gdl-israel.github.io/
GPT-3 and its Few-shot Learning Capabilities – Talk by Prof. Yoav Goldberg
zoomTitle: GPT-3 and its Few-shot Learning Capabilities Abstract: A recent paper by OpenAI, "Language Models are Few-Shot Learners", introduced GPT-3, a huge pre-trained language model, and a claim that it acts as a very effective few-shot learner. While I was skeptic at first, I got access to the GPT-3 model, and after playing with it ... Read more
BIU Learning Club 15.11 — Tomer Galanti — On the Modularity and Optimization Dynamics of Hypernetworks
The recording of Tomer’s presentation is available in this link. Title: On the Modularity and Optimization Dynamics of Hypernetworks. Abstract: Hypernetworks are architectures that produce the weights of a task-specific implicit network. A notable application of hypernetworks in the recent literature involves implicit neural representations. In these scenarios, the hypernetwork learns a representation corresponding to ... Read more
Talk: קבלת החלטות אלגוריתמית בתחום הרווחה: היבטים משפטיים ואתיים
https://us02web.zoom.us/j/8761953991523.11.20 : קבלת החלטות אלגוריתמית בתחום הרווחה: היבטים משפטיים ואתיים אורחת: ד"ר לימור שמרלינג מגזניק, מנהלת המכון הישראלי למדיניות טכנולוגיה מאמר רקע: Anna Brown et al. Toward Algorithmic Accountability in Public Services CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems 41 (2019) Zoom: https://us02web.zoom.us/j/87619539915#success
Talk: גורמי ביניים ברשת האינטרנט כגופים דו-מהותיים
30.11.20: גורמי ביניים ברשת האינטרנט כגופים דו-מהותיים (באופן חד פעמי, מפגש זה יתחיל בשעה 14:40) אורחת: פרופ' אורית פישמן אפורי, ביה"ס למשפטים, המכללה למנהל מאמר רקע: Online Rulers as Hybrid Bodies: The Case of Infringing Content Monitoring Pa. J. of Const. L. (Forthcoming) Orit Fischman Afori https://us02web.zoom.us/j/87619539915
Embeddings for spoken words – Learning-Club talk by Karen Livescu
Karen Livescu from TTIC Location: Gonda building (901), room 102. Time: Sunday Dec 22th, 12:00 AM -- 13:00 AM. Title: Embeddings for spoken words Abstract: Word embeddings have become a ubiquitous tool in natural language processing. These embeddings represent the meanings of written words. On the other hand, for spoken language it may be more ... Read more
On Size Generalization in Graph Neural Networks and Lottery Tickets – Learning Club talk by Gilad Yehudai
Gilad Yehudai from Weizmann Institute of Science Time: Sunday Jan 10th, 2021 12:00 PM — 13:00 PM. Title: On Size Generalization in Graph Neural Networks and Lottery Tickets Abstract: In this talk, I will survey two recent works, both have results related to the expressivity of neural networks, but in different architectures: On size generalization ... Read more
Law event – The Wiretapping of Things – talk by Eldar Haber
https://us02web.zoom.us/j/87619539915On Monday, January 11, 21 at 2:45 PM, Dr. Eldar Haber from the Faculty of Law at the University of Haifa will present his article: Eldar Haber, The Wiretapping of Things, 50 UC. D. L. Rev. 733 (2019). The zoom link for the talk is: https://us02web.zoom.us/j/87619539915. Details: Keren Yalin-Mor keren.yalin-mor@biu.ac.il
Law event – AM I AN ALGORITHM OR A PRODUCT? WHEN PRODUCTS LIABILITY SHOULD APPLY TO ALGORITHMIC DECISION-MAKERS – talk by Karni A. Chagal-Feferkorn
On Monday, January 18, 21 at 3:00 PM, Dr. Karni Shagel-Peppcorn from the University of Ottawa will present her paper: Karni Chagal-Feferkorn, Am I an Algorithm or a Product? When Products Liability Should Apply to Algorithmic Decision-Makers, 30 Stan. L. & Pol'y Rev. 61 (2019). The zoom link for the talk is: https://us02web.zoom.us/j/87619539915. Details: Keren Yalin-Mor ... Read more
בינה מלאכותית בשירותי ממשל: משפט, אתיקה, רווחה וטכנולוגיה
אירוע בנושא "בינה מלאכותית בשירותי ממשל: משפט, אתיקה, רווחה וטכנולוגיה." האירוע יתקיים בזום ביום שלישי, 26.1.21 בשעה 14:00. מצ"ב הזמנה עם הפרטים וקישור לרישום. באירוע יוצגו עיקרי דו"ח של ד"ר סיון תמיר ועו"ד לימור שמרלינג מגזניק מ"המכון הישראלי למדיניות טכנולוגיה" בנושא בינה מלאכותית בשירותי הרווחה ויגיבו עליו דוברים שיציגו נקודות מבט שונות מתחומי הרגולציה, הרווחה, ... Read more
Containers101: IBM cloud computing technical workshop series
Containers101: Containers, Docker, Kubernetes When: Tue 26/1/2020 14:00-16:00 (Zoom). Details: http://dsi.biu.ac.il/student-position-for-research-project-on-bots-in-social-networks/ Registration: https://forms.gle/aNBiqc1dG1XshLp3A
Digital Governance in the Times of Covid-19
בשבוע הבא, ב-17-18 בפברואר יתקיים כנס בינלאומי בנושא Digital Governance in the Times of Covid-19. מצ"ב תוכנית הכנס. נשמח שתצטרפו אלינו. שימו לב שיש להירשם מראש כאן. בנוסף, רבים מכם וודאי יתעניינו בספר חדש שזמין כעת באופן מקוון דרך הספריה: Legal Informatics (D. M. Katz et al. ed., Cambridge University Press) (2021) ניתן לגשת לספר ... Read more
Reasoning about Perception (talk by Prof. Gal Chechik, AI Week)
New methods to understand and generate visual scenes with novel combinations and complex interactions. https://aiweekonline.b2b-wizard.com/expo/agenda
NVIDIA GPU Programming workshop
When: 9/3/2020 10:00-12:00 Agenda: 10-10:30: Liron Friend, Developer Relations; Brief intro to Nvidia Nvidia’s Ambassador program for researchers Nvidia NGC: Nvidia docker containers, pretrained models and SDK’s 10:30 – 11:15: Gal Malca, Solution Architect Training neural networks with multi GPU training AMP – training with mixed precision Nvidia SMI and NSight with performance demo NGC ... Read more
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization – Learning Club talk by Tamir Hazan
Title: Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization Abstract: Direct loss minimization is a popular approach for learning predictors over structured label spaces. This approach is computationally appealing as it replaces integration with optimization and allows to propagate gradients in a deep net using loss-perturbed prediction. Recently, this technique was extended to generative ... Read more
BIU Learning Club 4.4.2021 — Ronen Basri — On the Connection between Deep Neural Networks and Kernel Methods
The recording of Ronen's talk: https://us02web.zoom.us/rec/share/lFyTCaXdH469BOuce3TgfdZQZ1pJlsy-Ei165FQPuiue6nGPHjpLgbOCF1hdvWEu.iDjrEpLTDMdUpiXJ Thanks to Ronen for the presentation and everyone who attended, Hey everyone, After the holiday, on Sunday 4.4.2021 at 12:00, we will host Ronen Basri from Weizman Institute. Ronen will present his work on the connection between deep neural networks and kernel methods. Zoom: https://us02web.zoom.us/j/88008797212pwd=TkFnME5OM3VqV2FjSlRGRTNLSVB1QT09 Meeting ID: 880 0879 7212 Passcode: ... Read more
Learning Club talk by Roni Livni
Time: Sunday Apr 11th, 2021 12:00 PM — 13:00 PM. The recording of Roi's talk: https://us02web.zoom.us/rec/play/7uL_4UkcH6PhgKWsSEn_lc3QOLqEuQOu7ax08fgnj93YgVhkfMM9_9f_2VbfaoqJFif7tpFffh4V6mt-.-MC-XWpEjtb97tvZ?continueMode=true On Sunday 11.4.2021 at 12:00, we will host Roi Livni from Tel-Aviv University. Roi will present his work on: "Regularization, what is it good for?". Zoom: https://us02web.zoom.us/j/83325342820?pwd=cUcxR2lJMzloL0pwNHJUWG0wNTQvUT09 Meeting ID: 833 2534 2820 Passcode: 449581 Title: Regularization, what is it good ... Read more
Learning to Plan and Planning to Learn – Learning Club talk by Aviv Tamar
Learning Club BIU - Aviv Tamar Title: Learning to Plan and Planning to Learn Abstract: Two main paradigms for solving sequential decision making problems are planning - searching through possible future outcomes to achieve a goal, and reinforcement learning (RL) - learning reactive policies through trial and error. This talk focuses on algorithmic interfaces between ... Read more
A Convergence Theory Towards Practical Over-parameterized Deep Neural Networks – Learning Club talk by Asaf Noy
Learning Club - Asaf Noy Title: A Convergence Theory Towards Practical Over-parameterized Deep Neural Networks Abstract: Deep neural networks' remarkable ability to correctly fit training data when optimized by gradient-based algorithms is yet to be fully understood. Recent theoretical results explain the convergence for ReLU networks that are wider than those used in practice by ... Read more
Learning Club talk by Raja Giryes
on Sunday 2.5.2021at 12:00, we will host Raja Giryes from Tel-Aviv University. Title: Robustifying neural networks Abstract: In this talk I will survey several techniques to make neural networks more robust. While neural networks achieve groundbreaking results in many applications, they depend strongly on the availability of good training data and the assumption that the data ... Read more
BIU Learning Club 9.5.2021 — Brain Chmiel — NEURAL GRADIENTS ARE NEAR-LOGNORMAL: IMPROVED QUANTIZED AND SPARSE TRAINING
The recording of Brian's talk is available here: https://us02web.zoom.us/rec/play/q1MhnoNJqMOBCBpADGABiGx7BUErjRyRe61hIsrWZeVwn5h0Jewn9JtO2z5BzYtFUrMB7dKckS2Us0RK.tsVtRh_-0qN13UJI Zoom: https://us02web.zoom.us/j/84467714967?pwd=MW5pR216eUlvMXRFK0g2WHpNbjBVQT09 Meeting ID: 844 6771 4967 Passcode: 149008 Title: NEURAL GRADIENTS ARE NEAR-LOGNORMAL: IMPROVED QUANTIZED AND SPARSE TRAINING Abstract: While training can mostly be accelerated by reducing the time needed to propagate neural gradients (loss gradients with respect to the intermediate neural layer outputs) back ... Read more
Learning Club BIU talk by Yonathan Efroni
BIU Learning Club 23.5.2021 -- Yonathan Efroni -- Confidence-Budget Matching for Sequential Budgeted Learning Yonathan Efroni from Microsoft research Israel/New York. Zoom: https://us02web.zoom.us/j/84891223876?pwd=UGcyZU8rZHY2NGpTMFNuUFIzajVRUT09 Meeting ID: 848 9122 3876 Passcode: 750812 Title: Confidence-Budget Matching for Sequential Budgeted Learning Abstract: A core element in decision-making under uncertainty is the feedback on the quality of the performed actions. ... Read more
Learning Club talk by Yedid Hoshen
Hey, The recording of today's talk: https://us02web.zoom.us/rec/share/rR45YFjmksHuzP9SG__a-7_MmLdVI6Bq6OU9r4RIID2QbxCzPhcso_d_H-OFdcXT.v-J1Wj5nzanD8Ph5?startTime=1622365463000 Thanks to Yedid for presenting and everyone who attended, ----------------------------------- Hey everyone, On Sunday 30.5.2021 we will host Yedid Hoshen from the Hebrew University. Please see the details below. See you then, Roni ------ Zoom: https://us02web.zoom.us/j/84758320608?pwd=SWljZGxhT1lkK1c2U0YyaVVEclZFUT09 Meeting ID: 847 5832 0608 Passcode: 942440 Title: Scaling-up Disentanglement Abstract: Disentangling ... Read more
Speech Language and Deep Learning.
הרצאת חשיפה למחקר של פרופ' יוסי קשת בנושא של עיבוד קול ולמידת מכונה. https://us02web.zoom.us/j/86317829185 Joseph (Yossi) Keshet Department of Computer Science
Learning Club talk by Yair Carmon
Learning Club - Yair Carmon The recording of Yair's talk: https://us02web.zoom.us/rec/share/4qoVA4woNo0sguj1vvlUYtWZIYOpyuiKfNPxt2YY8wSv0QfV61sua-tbf6Z6AXXU.kLtZGmkcoTBn5uty?startTime=1622970316000 Zoom: https://us02web.zoom.us/j/84847086771?pwd=K2QrMnZrQ21XU2JaUi9KS24wUHN2QT09 Meeting ID: 848 4708 6771 Passcode: 607548 Title: Accuracy on the line: on the predictability of out-of-distribution generalization Abstract: To make machine learning reliable, we must understand generalization to out-of-distribution environments (unseen during training) in addition to the in-distribution generalization measured by ... Read more
Learning Club talk by Roi Reichart
The recording of Roi's talk: https://us02web.zoom.us/rec/share/TED6jHbAUWqMRm7ERD3Tft7-EdMta6RwWdUaGYYYnoTrE7vcxIMeC1EmkU1v_LFp.xfF0lKSytaBECNuL?startTime=1623574979000 Learning Club - Roi Reichart On Sunday 13.6.2021 at 12:00, we will host Roi Reichart from the Technion. Zoom: https://us02web.zoom.us/j/83866349257?pwd=Y1g2R3U1akNLQ1MrNXh5QUcxME8ydz09 Meeting ID: 838 6634 9257 Passcode: 754963 Title: CausaLM: Causal Model Explanation Through Counterfactual Language Models Abstract: Understanding predictions made by deep neural networks is notoriously difficult, but also crucial to ... Read more
Learning Club talk by Joanathan Berant
The recording of Jonathan's talk: https://us02web.zoom.us/rec/share/3n_NxS_A2xCc1fNRyToKsNIT70oCEDuirBM-UW0BB9eZPasSGsUL-3Cl9D4xbPYu.YjtwPGXF1--IJTkK?startTime=1624179875000 Thanks to Jonathan for presenting and everyone who attended, Learning Club - Joanathan Berant On Sunday 20.6.2021 at 12:00, we will host Jonathan Berant from Tel-Aviv university. ------ Zoom: https://us02web.zoom.us/j/87317183515?pwd=VHJyUUdVTG0rMlVMbzUyaGZNTHhzZz09 Meeting ID: 873 1718 3515 Passcode: 617148 Title: Beyond supervised learning: generalization, few-shot learning, and robustness Abstract: Pre-trained language models combined ... Read more
Workshop: State-of-the-Art Natural Language Processing (NLP) for Research in the Social Sciences and Humanities
For recording of workshop see: https://idsi.net.technion.ac.il/nlp-workshop ------------------------------------------------- Israel Data Science Initiative is pleased to sponsor a Workshop on: State-of-the-Art Natural Language Processing (NLP) for Research in the Social Sciences and Humanities Date: May 27, 2021 Session 1: 11:00 – 13:00 Models and Methods Lunch break Session 2: 14:00 – 15:30 Use Case with Python ... Read more
Learning Club BIU talk by Sagie Benaim
The recording of the talk: https://drive.google.com/file/d/1zxX8iQrwabXvjCo8RBbu4wolGMYdnf3e/view?usp=sharing ----- On Sunday 27.6.2021 at 12:00, we will host Sagie Benaim fromTel-Aviv university. Please see the details below. Zoom: https://us02web.zoom.us/j/88063900417?pwd=VWRDUy9ld0d1eVpocFhVOEcvd0FNUT09 Meeting ID: 880 6390 0417 Passcode: 683072 Title: Structure-Aware Manipulation of Images and Videos Abstract: Methods for image and video manipulation, such as texture and style transfer, are a subject of ... Read more
Activity as a novel medical diagnostic tool – Dr. Elad Yom-Tov from Microsoft Research.
חדר מחלקה – בניין 216 קומה 2 2nd Floor Colloquium, Building 216, Room 201CS Colloquium talk by Dr. Elad Yom-Tov from Microsoft Research. Title: Online activity as a novel medical diagnostic tool Abstract: The majority of internet users report that they use the web to find information about their medical concerns. Data generated during this search process provides detailed insights into users’ interests and activities at high temporal ... Read more
DSI Dinner – October 2021
Building 206 – Nanotechnology Complex; Room C-50YES - DSI Dinners are back!!! After over a year in which the BIU DS community did not gather face to face, this will be an opportunity for us all to meet, learn about recent research activities and enjoy a dinner event. We are excited to share with you the details of the TASHPAB Fall ... Read more
Diffusion Models Beat GANs? – Eliya Nachmani (TAU & FAIR)
Recording: https://us02web.zoom.us/rec/share/AJjsXIl29nyD0ZSbadWHFd54QJFAB8sfV0b1WdcSY-kMvJE68rmdk595OO_yCUoK.f4P_M3-T4nfR5h91 Eliya Nachmani from TAU & FAIR. Title: Diffusion Models Beat GANs? Abstract: I will give a short introduction to generative diffusion models and present their performance compared to other generative models (including GANs). Moreover, I will present two works that we did in the last year: (i) Noise Estimation for Generative Diffusion Models: ... Read more
Marginal Contribution Feature Importance – an Axiomatic Approach for Explaining Data. Amnon Catav (TAU).
The recording of Amnon's talk: https://us02web.zoom.us/rec/share/TxC7tgud-XyP-h577Pa-EwhLt9Bi4P7BCurUbafwRuW_-UiCxJDG8L9gAJylLiU4.OMMHDUVzuEc4ZVnE?startTime=1636279531000 Title: Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data Abstract: In recent years, methods were proposed for assigning feature importance scores to measure the contribution of individual features. While in some cases the goal is to understand a specific model, in many cases the goal is ... Read more
A Textless Approach for Generative Spoken Language Modeling – Yossi Adi, from FAIR
On Sunday 21.11.2021 at 12:00, we will host Yossi Adi, from FAIR. Zoom: https://us02web.zoom.us/j/85941444168?pwd=S3pvNnVYTkx6RWsvSzFxTVVvdlFlZz09 Meeting ID: 859 4144 4168 Passcode: 584021 Title A Textless Approach for Generative Spoken Language Modeling Abstract An open question for AI research is creating systems that learn from natural interactions as infants learn their first language(s): spontaneously and without access ... Read more
BIU LawDataLab – opening
306/200BIU LawData - year opening event. For details see: ארוע פתיחת מעבדה א 23.11.2021
A Theoretical Analysis of Generalization in Graph Convolutional Neural Networks – Ron Levie from Ludwig Maximilian University of Munich
Recording: https://us02web.zoom.us/rec/share/fHCCma3ibcwJDDysXJeiVXwJgIrZB2y6KP70r0lSoVx6f66BFk00LyWd7af-fPpy.RD5WoGdSZW92a31V?startTime=1638093861000 --------------------------------------------------------------------- Hey Everyone, On Sunday 28.11.2021, we will host Ron Levie from Ludwig Maximilian University of Munich. Zoom: https://us02web.zoom.us/j/86540744550?pwd=bTlWMnZSWU1KcHFaSVlaUmR3aDNNUT09 Meeting ID: 865 4074 4550 Passcode: 748585 Title A Theoretical Analysis of Generalization in Graph Convolutional Neural Networks Abstract In recent years, the need to accommodate non-Euclidean structures in data science has brought a ... Read more
Equivariant Subgraph Aggregation Networks – Haggai Maron (NVIDIA Research)
The recording from Haggai's talk: https://us02web.zoom.us/rec/share/jCgJIjXL_UM5KV2z7NwgL3ij2SuLvrTLmVGF4OkI9Vk_J4RFfgYx79h9iC7Z41XQ.3FksbTtcNCIk-phG?startTime=1639303317000 On Sunday 12.12.2021, we will host Haggai Maron from NVIDIA Research. Zoom: https://us02web.zoom.us/j/85743049730?pwd=dVNRcVBJRlJxaTkrZzZkdSt1ajlUQT09 Meeting ID: 857 4304 9730 Passcode: 902259 Title: Equivariant Subgraph Aggregation Networks Abstract: Message-passing neural networks (MPNNs) are the leading architecture for deep learning on graph-structured data, in large part due to their simplicity and scalability. ... Read more
Generalization in RL – A Bayesian Perspective (Aviv Tamar, Technion)
On Sunday 19.12.2021, we will host Aviv Tamar from Technion. Zoom https://us02web.zoom.us/j/85352616833?pwd=ZDBQNVBESFg2cERlalRhbWNrbzIrQT09 Meeting ID: 853 5261 6833 Passcode: 897342 Title Generalization in RL - A Bayesian Perspective Abstract How can an agent learn to quickly perform well in an unknown task? This is the basic question in reinforcement learning (RL), and is critical for any ... Read more
The implicit bias of SGD: Minima stability analysis – Tomer Michaeli, Technion
The recording of the talk: https://us02web.zoom.us/rec/share/kIED6jkl9xH8y8pzyHAlYig11X11pbDjBqBsijV1kvrzIeOnElEr1ruFhTA1GVLN.vsmhBZvDEjvRx0Kc?startTime=1640513140000 Zoom https://us02web.zoom.us/j/83447514190pwd=cDVsc3Y0dWJOTFIwNlhSQmV5Vkpudz09 Meeting ID: 834 4751 4190 Passcode: 1212 Title The implicit bias of SGD: Minima stability analysis Abstract One of the puzzling phenomena in deep learning, is that neural networks tend to generalize well even when they are highly overparameterized. This stands in sharp contrast to classical wisdom, ... Read more
Learning with fewer labels in Computer Vision – Amir Bar – TAU
The recording of Amir's talk: https://us02web.zoom.us/rec/play/eErrSv8QOE9pC0bNNU4cB46ZiUXuKwbaEXv01MHvyFYTcwikE3Tb4FNob3A00Fi-6csubiImwmcE2OIl.sfukRxaffBiRikPo?startTime=1641117754000 Learning Club BIU - Amir Bar - TAU When Sun, January 2, 2022, 12pm – 1pm Zoom https://us02web.zoom.us/j/83447514190?pwd=cDVsc3Y0dWJOTFIwNlhSQmV5Vkpudz09 Meeting ID: 834 4751 4190 Passcode: 1212 Title: Learning with fewer labels in Computer Vision Abstract: In recent years, deep neural networks have transformed the field of Computer Vision. Current neural ... Read more
Informed Data Science – CS Colloquium talk by Dr. Amir Gilad Duke University (Duke)
Building 403 Room 67Monday, January 3, 2022 10:00 A.M. יום ב', א' בשבט תשפ"ב בשעה 10:00 Dr. Amir Gilad, Duke University Informed Data Science Data science has become prevalent in various fields that affect day-to-day lives, such as healthcare, banking, and the job market. The process of developing data science applications usually consists of several automatic systems that manipulate ... Read more
Perspectives on Privacy
See following pdf - פרספקטיביות 5.1.22 Link to Zoom - https://us02web.zoom.us/j/85399051733?pwd=UmJJSi9YR3A0a2JrTDlORytLbEQwQT09
Learning Club – Itai Lang – TAU – Geometric Adversarial Attacks and Defenses on 3D Point Clouds
Learning Club - Itai Lang - TAU - Geometric Adversarial Attacks and Defenses on 3D Point Clouds When: Sun, January 9, 2022, 12pm – 1pm Title: Geometric Adversarial Attacks and Defenses on 3D Point Clouds Abstract: Deep neural networks are prone to adversarial examples that maliciously alter the network's outcome. Due to the increasing popularity ... Read more
NLP session at AI Week – featuring talks by Prof. Yoav Goldberg and Prof. Ido Dagan
Keynote Yoav Goldberg , Research Director of AI2 Israel; Professor at the Computer Science Department, Bar-Ilan University 11:05 - 11:25 Calendar 1 Calendar Beyond End-to-End: the Case of Multi-text Summarization Ido Dagan , Professor at the Department of Computer Science, Bar-Ilan University; Director, Bar-Ilan Data Science Institute
MLIS-TCE CONFERENCE – AI: From Hype to Productivity
Join us to the Annual Symposium of MLIS– the Technion AI center and TCE Center, on February 24, 2022, at ELMA Arts Complex . AI is now THE Buzz word, but what are the true current capabilities? What is state-of-the-art and what can be implemented? In this symposium, we differentiate fact from (current) fiction through ... Read more