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a0f07M2uj_A
UCZHmQk67mSJgfCCTn7xBfew
Backpropagation and the brain
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2020-04-20T13:40:41Z
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Geoffrey Hinton and his co-authors describe a biologically plausible variant of backpropagation and report evidence that such an ...
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_EDr3ryrT_Y
UCZHmQk67mSJgfCCTn7xBfew
Typical Decoding for Natural Language Generation (Get more human-like outputs from language models!)
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2022-03-25T20:08:04Z
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deeplearning #nlp #sampling Modern language models like T5 or GPT-3 achieve remarkably low perplexities on both training ...
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vVRC-0VKPrg
UCZHmQk67mSJgfCCTn7xBfew
Learning Rate Grafting: Transferability of Optimizer Tuning (Machine Learning Research Paper Review)
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2021-11-20T15:47:46Z
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grafting #adam #sgd The last years in deep learning research have given rise to a plethora of different optimization algorithms, ...
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eCH0M4wzKJs
UCZHmQk67mSJgfCCTn7xBfew
WHO ARE YOU? 10k Subscribers Special (w/ Channel Analytics)
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2020-05-07T14:18:26Z
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An in-depth look at this channel's analytics. Links: YouTube: https://www.youtube.com/c/yannickilcher Twitter: ...
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cIUtRNhY6Rw
UCZHmQk67mSJgfCCTn7xBfew
TAPAS: Weakly Supervised Table Parsing via Pre-training (Paper Explained)
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2020-05-05T13:41:35Z
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Answering complex questions about tabular information is hard. No two tables are alike and sometimes the answer you're looking ...
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qlB0TPBQ7YY
UCZHmQk67mSJgfCCTn7xBfew
Transformer Memory as a Differentiable Search Index (Machine Learning Research Paper Explained)
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2022-04-16T15:40:13Z
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dsi #search #google Search engines work by building an index and then looking up things in it. Usually, that index is a separate ...
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X2k7n4FuI7c
UCZHmQk67mSJgfCCTn7xBfew
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding&Generation
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2022-03-23T19:44:37Z
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blip #review #ai Cross-modal pre-training has been all the rage lately in deep learning, especially training vision and language ...
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lvYVuOmUVs8
UCZHmQk67mSJgfCCTn7xBfew
OpenAI tackles Math - Formal Mathematics Statement Curriculum Learning (Paper Explained)
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2022-03-05T14:58:01Z
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openai #math #imo Formal mathematics is a challenging area for both humans and machines. For humans, formal proofs require ...
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9-o2aAoN0rY
UCZHmQk67mSJgfCCTn7xBfew
Fast reinforcement learning with generalized policy updates (Paper Explained)
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2020-08-23T13:06:02Z
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ai #research #reinforcementlearning Reinforcement Learning is a powerful tool, but it is also incredibly data-hungry. Given a new ...
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fEKZC9mta8w
UCZHmQk67mSJgfCCTn7xBfew
[ML News] Uber: Deep Learning for ETA | MuZero Video Compression | Block-NeRF | EfficientNet-X
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2022-02-18T16:38:08Z
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mlnews #muzero #nerf Your regularly irregular updates on everything new in the ML world! Merch: http://store.ykilcher.com ...
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yFAuXmcGk2Y
UCZHmQk67mSJgfCCTn7xBfew
SingularityNET - A Decentralized, Open Market and Network for AIs (Whitepaper Explained)
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2021-01-29T21:13:21Z
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ai #research #blockchain Big Tech is currently dominating the pursuit of ever more capable AI. This happens behind closed doors ...
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WTB2p4bqtXU
UCZHmQk67mSJgfCCTn7xBfew
End-to-End Adversarial Text-to-Speech (Paper Explained)
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2020-06-10T14:14:52Z
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Text-to-speech engines are usually multi-stage pipelines that transform the signal into many intermediate representations and ...
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LB4B5FYvtdI
UCZHmQk67mSJgfCCTn7xBfew
Predictive Coding Approximates Backprop along Arbitrary Computation Graphs (Paper Explained)
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2020-11-29T14:04:54Z
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ai #biology #neuroscience Backpropagation is the workhorse of modern deep learning and a core component of most frameworks ...
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hAooAOFRsYc
UCZHmQk67mSJgfCCTn7xBfew
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention (Paper Explained)
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2020-07-04T12:39:13Z
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ai #attention #transformer #deeplearning Transformers are famous for two things: Their superior performance and their insane ...
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-Kgxv64aG3o
UCZHmQk67mSJgfCCTn7xBfew
ALiBi - Train Short, Test Long: Attention with linear biases enables input length extrapolation
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2021-09-02T22:35:08Z
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alibi #transformers #attention Transformers are essentially set models that need additional inputs to make sense of sequence data ...
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_7xpGve9QEE
UCZHmQk67mSJgfCCTn7xBfew
The Future of AI is Self-Organizing and Self-Assembling (w/ Prof. Sebastian Risi)
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2022-08-26T18:25:39Z
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ai #selforganization #emergence Read Sebastian's article here: https://sebastianrisi.com/self_assembling_ai/ OUTLINE: 0:00 ...
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i-J4T3uLC9M
UCZHmQk67mSJgfCCTn7xBfew
VOS: Learning What You Don't Know by Virtual Outlier Synthesis (Paper Explained)
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2022-03-13T12:50:48Z
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vos #outliers #deeplearning Sponsor: Assembly AI Check them out here: ...
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cllFzkvrYmE
UCZHmQk67mSJgfCCTn7xBfew
GLOM: How to represent part-whole hierarchies in a neural network (Geoff Hinton's Paper Explained)
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2021-02-27T15:47:03Z
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glom #hinton #capsules Geoffrey Hinton describes GLOM, a Computer Vision model that combines transformers, neural fields, ...
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KXEEqcwXn8w
UCZHmQk67mSJgfCCTn7xBfew
A neurally plausible model learns successor representations in partially observable environments
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2019-11-07T10:15:19Z
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Successor representations are a mid-point between model-based and model-free reinforcement learning. This paper learns ...
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G7-fRGaCZts
UCZHmQk67mSJgfCCTn7xBfew
[ML News] Google introduces Pathways | OpenAI solves Math Problems | Meta goes First Person
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2021-11-05T12:51:43Z
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pathways #mlnews #ego4d Your irregular dose of Machine Learning News. OUTLINE: 0:00 - Intro 0:20 - Sponsor: Weights ...
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wZWn7Hm8osA
UCZHmQk67mSJgfCCTn7xBfew
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
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2019-08-13T14:03:03Z
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Ever wanted to do a convolution on a Klein Bottle? This paper defines CNNs over manifolds such that they are independent of ...
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v2GRWzIhaqQ
UCZHmQk67mSJgfCCTn7xBfew
Meta-Learning through Hebbian Plasticity in Random Networks (Paper Explained)
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2020-08-12T09:20:25Z
null
ai #neuroscience #rl Reinforcement Learning is a powerful tool, but it lacks biological plausibility because it learns a fixed policy ...
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cuyM63ugsxI
UCZHmQk67mSJgfCCTn7xBfew
On the Measure of Intelligence by François Chollet - Part 3: The Math (Paper Explained)
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2020-06-26T13:49:27Z
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In this part, we go over the formal definition of the measure of intelligence. In order to do this, we have to frame and quantify the ...
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ml3Y1ljVSQ8
UCZHmQk67mSJgfCCTn7xBfew
PCGRL: Procedural Content Generation via Reinforcement Learning (Paper Explained)
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2020-08-04T12:00:15Z
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ai #research #gaming Deep RL is usually used to solve games, but this paper turns the process on its head and applies RL to ...
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YOLL8dIhLJI
UCZHmQk67mSJgfCCTn7xBfew
[ML News] DeepMind controls fusion | Yann LeCun's JEPA architecture | US: AI can't copyright its art
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2022-03-04T11:50:07Z
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mlnews #deepmind #fusion Updates on what's going on in the ML world! Check out w&b's alerts feature: https://wandb.me/yannic ...
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MQ89be_685o
UCZHmQk67mSJgfCCTn7xBfew
The Hardware Lottery (Paper Explained)
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2020-09-18T20:27:55Z
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ai #research #hardware We like to think that ideas in research succeed because of their merit, but this story is likely incomplete.
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-cT-2xvaeks
UCZHmQk67mSJgfCCTn7xBfew
[ML News] Facebook AI adapting robots | Baidu autonomous excavators | Happy Birthday EleutherAI
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2021-07-15T11:17:21Z
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A look into the happenings of the Machine Learning world. OUTLINE: 0:00 - Intro 0:25 - Facebook AI trains rapidly adapting robots ...
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nv6oFDp6rNQ
UCZHmQk67mSJgfCCTn7xBfew
Hopfield Networks is All You Need (Paper Explained)
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2020-08-09T15:51:38Z
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ai #transformer #attention Hopfield Networks are one of the classic models of biological memory networks. This paper generalizes ...
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gYxJEd3EUKs
UCZHmQk67mSJgfCCTn7xBfew
Memory-assisted prompt editing to improve GPT-3 after deployment (Machine Learning Paper Explained)
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2022-03-28T13:48:00Z
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nlp #gpt3 #prompt Large language models such as GPT-3 have enabled many breakthroughs and new applications recently, but ...
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9MJTeOaSMTk
UCZHmQk67mSJgfCCTn7xBfew
Self-driving from VISION ONLY - Tesla's self-driving progress by Andrej Karpathy (Talk Analysis)
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2021-07-03T13:00:56Z
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tesla #selfdriving #karpathy Tesla is pushing the state-of-the-art in full self-driving, and interestingly, they explicitly switch from ...
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7OdhtAiPfWY
UCZHmQk67mSJgfCCTn7xBfew
I BUILT A NEURAL NETWORK IN MINECRAFT | Analog Redstone Network w/ Backprop & Optimizer (NO MODS)
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2021-04-14T13:33:43Z
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minecraft #neuralnetwork #backpropagation I built an analog neural network in vanilla Minecraft without any mods or command ...
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EbHUU-gLyRA
UCZHmQk67mSJgfCCTn7xBfew
Self-classifying MNIST Digits (Paper Explained)
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2020-09-02T09:29:27Z
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ai #biology #machinelearning Neural Cellular Automata are models for how living creatures can use local message passing to ...
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Lg97gWXsiQ4
UCZHmQk67mSJgfCCTn7xBfew
Resolution-robust Large Mask Inpainting with Fourier Convolutions (w/ Author Interview)
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2021-12-18T12:09:06Z
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lama #inpainting #deeplearning At the end of the video is an interview with the paper authors! LaMa is a system that is amazing at ...
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povBDxUn1VQ
UCZHmQk67mSJgfCCTn7xBfew
ACCEL: Evolving Curricula with Regret-Based Environment Design (Paper Review)
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2022-04-25T18:40:16Z
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ai #accel #evolution Automatic curriculum generation is one of the most promising avenues for Reinforcement Learning today.
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WYrvh50yu6s
UCZHmQk67mSJgfCCTn7xBfew
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
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2018-12-18T09:18:47Z
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https://arxiv.org/abs/1811.12359 Abstract: In recent years, the interest in unsupervised learning of disentangled representations ...
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udS2OPohs_s
UCZHmQk67mSJgfCCTn7xBfew
I TRAINED AN AI TO SOLVE 2+2 (w/ Live Coding)
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2020-08-06T16:30:14Z
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ai #tech #code A whole bunch of humans are arguing whether 2+2=4 or 2+2=5. Pointless! Let the machines handle this! Colab: ...
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gbG1X8Xq-T8
UCZHmQk67mSJgfCCTn7xBfew
Enhanced POET: Open-Ended RL through Unbounded Invention of Learning Challenges and their Solutions
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2020-04-10T10:11:09Z
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The enhanced POET makes some substantial and well-crafted improvements over the original POET algorithm and excels at ...
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BBp0tHcirtQ
UCZHmQk67mSJgfCCTn7xBfew
git for research basics: fundamentals, commits, branches, merging
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2017-12-13T07:40:17Z
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Don't watch this if you already know how to solve a merge conflict :)
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u5BkO8XMS2I
UCZHmQk67mSJgfCCTn7xBfew
iMAML: Meta-Learning with Implicit Gradients (Paper Explained)
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2020-05-19T13:37:21Z
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Gradient-based Meta-Learning requires full backpropagation through the inner optimization procedure, which is a computational ...
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F5aaXrIMWyU
UCZHmQk67mSJgfCCTn7xBfew
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies (Paper Explained)
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2020-04-30T16:17:55Z
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Hail the AI Tax Collector! This very visual framework has RL Agents maximize their coins in a tiny world through collecting, ...
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5IRlUVrEVL8
UCZHmQk67mSJgfCCTn7xBfew
Deep Ensembles: A Loss Landscape Perspective (Paper Explained)
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2020-07-11T12:57:17Z
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ai #research #optimization Deep Ensembles work surprisingly well for improving the generalization capabilities of deep neural ...
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R5DiLFOMZrc
UCZHmQk67mSJgfCCTn7xBfew
TransGAN: Two Transformers Can Make One Strong GAN (Machine Learning Research Paper Explained)
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2021-02-17T16:02:54Z
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transformer #gan #machinelearning Generative Adversarial Networks (GANs) hold the state-of-the-art when it comes to image ...
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q7QP_lfqnQM
UCZHmQk67mSJgfCCTn7xBfew
Synthesizer: Rethinking Self-Attention in Transformer Models (Paper Explained)
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2020-05-31T14:27:04Z
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Do we really need dot-product attention? The attention mechanism is a central part of modern Transformers, mainly due to the ...
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-_2AF9Lhweo
UCZHmQk67mSJgfCCTn7xBfew
Linformer: Self-Attention with Linear Complexity (Paper Explained)
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2020-06-11T13:50:50Z
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Transformers are notoriously resource-intensive because their self-attention mechanism requires a squared number of memory ...
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k_hUdZJNzkU
UCZHmQk67mSJgfCCTn7xBfew
The Dimpled Manifold Model of Adversarial Examples in Machine Learning (Research Paper Explained)
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2021-06-27T12:06:18Z
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adversarialexamples #dimpledmanifold #security Adversarial Examples have long been a fascinating topic for many Machine ...
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-h1KB8ps11A
UCZHmQk67mSJgfCCTn7xBfew
Datasets for Data-Driven Reinforcement Learning
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2020-04-16T18:07:00Z
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Offline Reinforcement Learning has come more and more into focus recently in domains where classic on-policy RL algorithms ...
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h9w3KffPPmQ
UCZHmQk67mSJgfCCTn7xBfew
[Rant] Online Conferences
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2020-04-28T15:36:11Z
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Are virtual conferences good or bad? What's missing? How do we go forward? Pictures from here: ...
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IiBFqnNu7A8
UCZHmQk67mSJgfCCTn7xBfew
Planning to Explore via Self-Supervised World Models (Paper Explained)
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2020-05-17T14:01:30Z
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What can an agent do without any reward? Explore the world! While many formulations of intrinsic rewards exist (Curiosity, ...
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JPX_jSZtszY
UCZHmQk67mSJgfCCTn7xBfew
NeurIPS 2020 Changes to Paper Submission Process
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2020-02-21T10:32:41Z
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My thoughts on the changes to the paper submission process for NeurIPS 2020. The main new changes are: 1. ACs can desk ...
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DRy_Mr732yA
UCZHmQk67mSJgfCCTn7xBfew
[Drama] Who invented Contrast Sets?
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2020-04-08T12:11:31Z
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Funny Twitter spat between researchers arguing who was the first to invent an idea that has probably been around since 1990 :D ...
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GgHXGpQ60x0
UCZHmQk67mSJgfCCTn7xBfew
[ML News] AI learns to search the Internet | Drawings come to life | New ML journal launches
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2021-12-24T12:29:20Z
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webgpt #aiart #mlnews The latest and greatest from the Machine Learning world. OUTLINE: 0:00 - Intro 0:20 - Sponsor: Weights ...
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RrvC8YW0pT0
UCZHmQk67mSJgfCCTn7xBfew
Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions
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2019-12-11T02:45:34Z
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Schmidhuber thinking outside the box! Upside-Down RL turns RL on its head and constructs a behavior function that uses the ...
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XHGh19Hbx48
UCZHmQk67mSJgfCCTn7xBfew
Can Wikipedia Help Offline Reinforcement Learning? (Paper Explained)
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2022-02-26T14:02:37Z
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wikipedia #reinforcementlearning #languagemodels Transformers have come to overtake many domain-targeted custom models ...
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FbRcbM4T-50
UCZHmQk67mSJgfCCTn7xBfew
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning (Paper Explained)
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2021-11-30T00:19:40Z
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ext5 #transferlearning #exmix The T5 model has been a staple for NLP research for the last years. Both its size and its approach ...
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AIOE1l1W0Tw
UCZHmQk67mSJgfCCTn7xBfew
LAION-5B: 5 billion image-text-pairs dataset (with the authors)
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2022-04-22T13:00:44Z
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laion #clip #dalle LAION-5B is an open, free dataset consisting of over 5 billion image-text-pairs. Today's video is an interview with ...
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0JlB9gufTw8
UCZHmQk67mSJgfCCTn7xBfew
∞-former: Infinite Memory Transformer (aka Infty-Former / Infinity-Former, Research Paper Explained)
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2021-09-06T12:07:08Z
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inftyformer #infinityformer #transformer Vanilla Transformers are excellent sequence models, but suffer from very harsch ...
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AvHLJqtmQkE
UCZHmQk67mSJgfCCTn7xBfew
Author Interview - Typical Decoding for Natural Language Generation
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2022-03-26T15:59:28Z
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deeplearning #nlp #sampling This is an interview with first author Clara Meister. Paper review video hereé ...
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G3pOvrKkFuk
UCZHmQk67mSJgfCCTn7xBfew
[Code] PyTorch sentiment classifier from scratch with Huggingface NLP Library (Full Tutorial)
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2020-05-18T13:26:18Z
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Huggingface released its newest library called NLP, which gives you easy access to almost any NLP dataset and metric in one ...
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C5sWbYwzKyg
UCZHmQk67mSJgfCCTn7xBfew
AlphaCode - with the authors!
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2022-03-02T23:00:01Z
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ai #alphacode #deepmind An interview with the creators of AlphaCode! Paper review video here: https://youtu.be/s9UAOmyah1A ...
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zWFkUGXjbdo
UCZHmQk67mSJgfCCTn7xBfew
[Rant] Can AI read your emotions? (No, but ...)
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2021-05-30T14:51:48Z
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facerecognition #emotiondetection #mindreading Face recognition has a bad rep in the ML community. While the technology ...
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PZypP7PiKi0
UCZHmQk67mSJgfCCTn7xBfew
Gradient Surgery for Multi-Task Learning
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2020-04-21T12:19:54Z
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Multi-Task Learning can be very challenging when gradients of different tasks are of severely different magnitudes or point into ...
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l12GXD0t_RE
UCZHmQk67mSJgfCCTn7xBfew
Deep Differential System Stability - Learning advanced computations from examples (Paper Explained)
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2020-06-13T14:52:28Z
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Determining the stability properties of differential systems is a challenging task that involves very advanced symbolic and numeric ...
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nQDZmf2Yb9k
UCZHmQk67mSJgfCCTn7xBfew
PonderNet: Learning to Ponder (Machine Learning Research Paper Explained)
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2021-08-23T12:40:24Z
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pondernet #deepmind #machinelearning Humans don't spend the same amount of mental effort on all problems equally. Instead ...
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K-cXYoqHxBc
UCZHmQk67mSJgfCCTn7xBfew
More Is Different for AI - Scaling Up, Emergence, and Paperclip Maximizers (w/ Jacob Steinhardt)
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2022-09-13T21:33:39Z
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ai #interview #research Jacob Steinhardt believes that future AI systems will be qualitatively different than the ones we know ...
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kP-dXK9JEhY
UCZHmQk67mSJgfCCTn7xBfew
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models (Explained)
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2021-10-24T20:59:32Z
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gpt3 #knowledge #symbolic Symbolic knowledge models are usually trained on human-generated corpora that are cumbersome ...
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D-eg7k8YSfs
UCZHmQk67mSJgfCCTn7xBfew
Shortcut Learning in Deep Neural Networks
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2020-04-18T13:29:14Z
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This paper establishes a framework for looking at out-of-distribution generalization failures of modern deep learning as the ...
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U3zmekzQ8WQ
UCZHmQk67mSJgfCCTn7xBfew
Agent57: Outperforming the Atari Human Benchmark
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2020-03-31T15:49:49Z
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DeepMind's Agent57 is the first RL agent to outperform humans in all 57 Atari benchmark games. It extends previous algorithms ...
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H6Qiegq_36c
UCZHmQk67mSJgfCCTn7xBfew
Processing Megapixel Images with Deep Attention-Sampling Models
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2019-08-12T13:44:37Z
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Current CNNs have to downsample large images before processing them, which can lose a lot of detail information. This paper ...
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Hdo81GtLC_4
UCZHmQk67mSJgfCCTn7xBfew
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures (Paper Explained)
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2020-06-27T16:04:14Z
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Backpropagation is one of the central components of modern deep learning. However, it's not biologically plausible, which limits ...
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Z_kWZpgEZ7w
UCZHmQk67mSJgfCCTn7xBfew
Multimodal Neurons in Artificial Neural Networks (w/ OpenAI Microscope, Research Paper Explained)
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2021-03-05T13:18:21Z
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openai #clip #microscope OpenAI does a huge investigation into the inner workings of their recent CLIP model via faceted feature ...
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U8Rmfb8aZXE
UCZHmQk67mSJgfCCTn7xBfew
[ML News] NVIDIA GTC'21 | DeepMind buys MuJoCo | Google predicts spreadsheet formulas
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2021-10-29T16:07:13Z
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gtc21 #mlnews #mujoco Register to GTC'21 and Win a RTX 3090: https://nvda.ws/2Y2B5ni OUTLINE: 0:00 - Intro 0:15 - Sponsor: ...
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Qk4lJdp7ZAs
UCZHmQk67mSJgfCCTn7xBfew
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning
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2019-08-08T08:56:43Z
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The goal of hierarchical reinforcement learning is to divide a task into different levels of coarseness with the top-level agent ...
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X4S8F3bwuuw
UCZHmQk67mSJgfCCTn7xBfew
Author Interview: SayCan - Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
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2022-05-02T13:12:13Z
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saycan #robots #ai This is an interview with the authors Brian Ichter, Karol Hausman, and Fei Xia. Original Paper Review Video: ...
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J7CrtblmMnU
UCZHmQk67mSJgfCCTn7xBfew
Is Google Translate Sexist? Gender Stereotypes in Statistical Machine Translation
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2021-03-23T15:59:17Z
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genderbias #algorithmicfairness #debiasing A brief look into gender stereotypes in Google Translate. The origin is a Tweet ...
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ZOkvFf8JbkA
UCZHmQk67mSJgfCCTn7xBfew
[ML News] DeepMind builds Gopher | Google builds GLaM | Suicide capsule uses AI to check access
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2021-12-21T13:41:16Z
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mlnews #gopher #glam Your updates on everything going on in the Machine Learning world. Sponsor: Weights & Biases ...
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tjbEVY5XIk0
UCZHmQk67mSJgfCCTn7xBfew
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning (Paper Explained)
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2020-05-08T13:10:29Z
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When AI makes a plan it usually does so step by step, forward in time. But often it is beneficial to define intermediate goals to ...
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Feedback Transformers: Addressing Some Limitations of Transformers with Feedback Memory (Explained)
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2021-02-02T15:36:12Z
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ai #science #transformers Autoregressive Transformers have taken over the world of Language Modeling (GPT-3). However, in ...
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Axial Attention & MetNet: A Neural Weather Model for Precipitation Forecasting
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2020-03-30T12:40:26Z
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MetNet is a predictive neural network model for weather prediction. It uses axial attention to capture long-range dependencies.
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[ML News] DeepMind tackles Math | Microsoft does more with less | Timnit Gebru launches DAIR
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2021-12-10T21:21:28Z
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mlnews #deepmind #ai The most trusted model in News! Get started with Weights & Biases here: https://wandb.me/yannic (it's free ...
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[ML News] AI Threatens Biological Arms Race
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2022-03-21T22:32:41Z
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mlnews #gtc22 #ithaca GTC Registration Link: https://ykilcher.com/gtc Your regular updates on what's going on in the ML world!
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Deep image reconstruction from human brain activity (Paper Explained)
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2020-05-25T15:38:17Z
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Can you peek into people's brains? Reading human thoughts is a long-standing dream of the AI field. This paper reads fMRI ...
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Gradient Origin Networks (Paper Explained w/ Live Coding)
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2020-07-10T13:01:46Z
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Neural networks for implicit representations, such as SIRENs, have been very successful at modeling natural signals. However, in ...
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Reinforcement Learning, Fast and Slow
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2019-05-10T12:47:57Z
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Abstract: Deep reinforcement learning (RL) methods have driven impressive advances in artificial intelligence in recent years, ...
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Regularizing Trajectory Optimization with Denoising Autoencoders (Paper Explained)
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2020-05-24T15:31:04Z
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Can you plan with a learned model of the world? Yes, but there's a catch: The better your planning algorithm is, the more the ...
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[ML News] Cedille French Language Model | YOU Search Engine | AI Finds Profitable MEME TOKENS
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2021-11-18T14:54:52Z
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mlnews #cedille #wmt Only the greatest of news from the world of Machine Learning. OUTLINE: 0:00 - Sponsor: Weights & Biases ...
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CM3: A Causal Masked Multimodal Model of the Internet (Paper Explained w/ Author Interview)
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2022-02-17T23:04:45Z
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cm3 #languagemodel #transformer This video contains a paper explanation and an incredibly informative interview with first ...
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Competition-Level Code Generation with AlphaCode (Paper Review)
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2022-03-01T13:15:04Z
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ai #alphacode #deepmind AlphaCode is an automated system that can solve competitive programing exercises. The authors ...
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Gradients are Not All You Need (Machine Learning Research Paper Explained)
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2021-11-16T00:36:11Z
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deeplearning #backpropagation #simulation More and more systems are made differentiable, which means that accurate ...
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I went to an AI Art Festival in Geneva (AiiA Festival Trip Report)
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2021-10-27T13:52:57Z
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aiia #ai #art A trip report from the AiiA Festival in Geneva organized by the ImpactAI foundation. OUTLINE: 0:00 - Intro 1:50 - Laura ...
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Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection (Paper Explained)
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2020-06-28T15:09:19Z
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Object detection often does not occur in a vacuum. Static cameras, such as wildlife traps, collect lots of irregularly sampled data ...
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State-of-Art-Reviewing: A Radical Proposal to Improve Scientific Publication
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2020-04-01T13:10:40Z
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Peer Review is outdated and ineffective. SOAR is a new and revolutionary way to distribute scientific reviewing and scale to the ...
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Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions (Paper Explained)
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2021-11-27T17:34:17Z
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imle #backpropagation #discrete Backpropagation is the workhorse of deep learning, but unfortunately, it only works for ...
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On the Measure of Intelligence by François Chollet - Part 4: The ARC Challenge (Paper Explained)
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2020-07-03T14:23:17Z
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In this part, we look at the ARC challenge as a proposed test of machine intelligence. The dataset features 1000 tasks that test ...
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When BERT Plays the Lottery, All Tickets Are Winning (Paper Explained)
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2020-05-22T17:45:44Z
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BERT is a giant model. Turns out you can prune away many of its components and it still works. This paper analyzes BERT ...
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Linear Transformers Are Secretly Fast Weight Memory Systems (Machine Learning Paper Explained)
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2021-02-26T16:12:24Z
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fastweights #deeplearning #transformers Transformers are dominating Deep Learning, but their quadratic memory and compute ...
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Sparse is Enough in Scaling Transformers (aka Terraformer) | ML Research Paper Explained
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2021-12-02T01:21:29Z
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scalingtransformers #terraformer #sparsity Transformers keep pushing the state of the art in language and other domains, mainly ...
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HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning (w/ Author)
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2022-02-16T00:21:02Z
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hypertransformer #metalearning #deeplearning This video contains a paper explanation and an interview with author Andrey ...
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AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control (Paper Explained)
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2021-06-19T15:07:08Z
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reiforcementlearning #gan #imitationlearning Learning from demonstrations is a fascinating topic, but what if the demonstrations ...
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[ML News] Microsoft trains 530B model | ConvMixer model fits into single tweet | DeepMind profitable
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2021-10-20T13:40:13Z
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mlnews #turingnlg #convmixer Your latest upates on what's happening in the Machine Learning world. OUTLINE: 0:00 - Intro 0:16 ...
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Faster Neural Network Training with Data Echoing (Paper Explained)
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2020-05-13T13:56:56Z
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CPUs are often bottlenecks in Machine Learning pipelines. Data fetching, loading, preprocessing and augmentation can be slow ...
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