Learning Club
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
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
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
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
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