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MgJ3JsE3Tqo
UCZHmQk67mSJgfCCTn7xBfew
Author Interview - VOS: Learning What You Don't Know by Virtual Outlier Synthesis
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2022-03-14T14:01:38Z
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deeplearning #objectdetection #outliers An interview with the authors of "Virtual Outlier Synthesis". Watch the paper review video ...
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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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tC01FRB0M7w
UCZHmQk67mSJgfCCTn7xBfew
Turing-NLG, DeepSpeed and the ZeRO optimizer
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2020-02-11T14:56:20Z
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Microsoft has trained a 17-billion parameter language model that achieves state-of-the-art perplexity. This video takes a look at ...
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i4H0kjxrias
UCZHmQk67mSJgfCCTn7xBfew
Reformer: The Efficient Transformer
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2020-01-22T10:01:26Z
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The Transformer for the masses! Reformer solves the biggest problem with the famous Transformer model: Its huge resource ...
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jltgNGt8Lpg
UCZHmQk67mSJgfCCTn7xBfew
Neural Ordinary Differential Equations
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2019-02-19T05:12:20Z
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https://arxiv.org/abs/1806.07366 Abstract: We introduce a new family of deep neural network models. Instead of specifying a ...
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1aO-uHXbzmQ
UCZHmQk67mSJgfCCTn7xBfew
Jukebox: A Generative Model for Music (Paper Explained)
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2020-05-02T11:06:26Z
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This generative model for music can make entire songs with remarkable quality and consistency. It can be conditioned on genre, ...
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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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RZ7JiAk9azY
UCZHmQk67mSJgfCCTn7xBfew
My GitHub (Trash code I wrote during PhD)
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2021-06-08T17:46:22Z
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phdlife #github #researchcode A brief browse through my public GitHub and musings about my old code.
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l_3zj6HeWUE
UCZHmQk67mSJgfCCTn7xBfew
Group Normalization (Paper Explained)
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2020-05-12T14:05:56Z
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The dirty little secret of Batch Normalization is its intrinsic dependence on the training batch size. Group Normalization attempts to ...
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oz5yZc9ULAc
UCZHmQk67mSJgfCCTn7xBfew
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos (Paper Explained)
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2022-06-26T21:58:34Z
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openai #vpt #minecraft Minecraft is one of the harder challenges any RL agent could face. Episodes are long, and the world is ...
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a6v92P0EbJc
UCZHmQk67mSJgfCCTn7xBfew
Neural Architecture Search without Training (Paper Explained)
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2020-07-21T13:00:01Z
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ai #research #machinelearning Neural Architecture Search is typically very slow and resource-intensive. A meta-controller has to ...
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aX8phGhG8VQ
UCZHmQk67mSJgfCCTn7xBfew
Does GPT-3 lie? - Misinformation and fear-mongering around the TruthfulQA dataset
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2021-09-21T13:43:28Z
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gpt-3 #truth #conspiracy A new benchmark paper has created quite an uproar in the community. TruthfulQA is a dataset of 817 ...
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Nfry2b4RFI4
UCZHmQk67mSJgfCCTn7xBfew
Investigating Human Priors for Playing Video Games (Paper & Demo)
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2020-05-20T13:52:49Z
null
Why are humans so good at video games? Maybe it's because a lot of games are designed with humans in mind. What happens if ...
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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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H5vpBCLo74U
UCZHmQk67mSJgfCCTn7xBfew
XLNet: Generalized Autoregressive Pretraining for Language Understanding
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2019-07-03T10:51:44Z
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Abstract: With the capability of modeling bidirectional contexts, denoising autoencoding based pretraining like BERT achieves ...
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9Kec_7WFyp0
UCZHmQk67mSJgfCCTn7xBfew
Growing Neural Cellular Automata
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2020-02-12T08:36:06Z
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The Game of Life on steroids! This model learns to grow complex patterns in an entirely local way. Each cell is trained to listen to ...
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h3ij3F3cPIk
UCZHmQk67mSJgfCCTn7xBfew
DINO: Emerging Properties in Self-Supervised Vision Transformers (Facebook AI Research Explained)
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2021-05-01T19:53:03Z
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dino #facebook #selfsupervised Self-Supervised Learning is the final frontier in Representation Learning: Getting useful features ...
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CRlN-cYFxTk
UCZHmQk67mSJgfCCTn7xBfew
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (ML Research Paper Explained)
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2021-04-19T15:21:29Z
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nerf #neuralrendering #deeplearning View Synthesis is a tricky problem, especially when only given a sparse set of images as an ...
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lqtlua-Ylts
UCZHmQk67mSJgfCCTn7xBfew
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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8Oy7o3Yu-Xo
UCZHmQk67mSJgfCCTn7xBfew
Efficient and Modular Implicit Differentiation (Machine Learning Research Paper Explained)
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2021-06-11T21:14:12Z
null
implicitfunction #jax #autodiff Many problems in Machine Learning involve loops of inner and outer optimization. Finding update ...
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smUHQndcmOY
UCZHmQk67mSJgfCCTn7xBfew
[ML News] DeepMind's Flamingo Image-Text model | Locked-Image Tuning | Jurassic X & MRKL
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2022-05-13T15:47:15Z
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flamingo #mlnews #tech Your updates directly from the state of the art in Machine Learning! OUTLINE: 0:00 - Intro 0:30 ...
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agXIYMCICcc
UCZHmQk67mSJgfCCTn7xBfew
Imagination-Augmented Agents for Deep Reinforcement Learning
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2017-08-04T07:15:56Z
null
Commentary of https://arxiv.org/abs/1707.06203 Abstract We introduce Imagination-Augmented Agents (I2As), a novel ...
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dPsXxLyqpfs
UCZHmQk67mSJgfCCTn7xBfew
World Models
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2018-04-07T13:36:31Z
null
Authors: David Ha, Jürgen Schmidhuber Abstract: We explore building generative neural network models of popular ...
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n1SXlK5rhR8
UCZHmQk67mSJgfCCTn7xBfew
[Drama] Yann LeCun against Twitter on Dataset Bias
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2020-06-22T13:20:42Z
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Yann LeCun points out an instance of dataset bias and proposes a sensible solution. People are not happy about it. Original ...
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G2sr1g6rLdE
UCZHmQk67mSJgfCCTn7xBfew
Radioactive data: tracing through training (Paper Explained)
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2020-08-26T12:31:39Z
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ai #research #privacy Data is the modern gold. Neural classifiers can improve their performance by training on more data, but ...
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null
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Cs_j-oNwGgg
UCZHmQk67mSJgfCCTn7xBfew
Concept Learning with Energy-Based Models (Paper Explained)
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2020-05-11T13:59:56Z
null
This is a hard paper! Energy-functions are typically a mere afterthought in current machine learning. A core function of the Energy ...
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utuz7wBGjKM
UCZHmQk67mSJgfCCTn7xBfew
[News] OpenAI Model Generates Python Code
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2020-05-21T16:34:09Z
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This code completion engine can write an entire function from just the name! OpenAI demonstrates what happens when you learn ...
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SY5PvZrJhLE
UCZHmQk67mSJgfCCTn7xBfew
GPT-3: Language Models are Few-Shot Learners (Paper Explained)
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2020-05-29T15:13:36Z
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gpt3 #openai #gpt-3 How far can you go with ONLY language modeling? Can a large enough language model perform NLP task ...
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S-7r0-oysaU
UCZHmQk67mSJgfCCTn7xBfew
[ML News] OpenAI's Whisper | Meta Reads Brain Waves | AI Wins Art Fair, Annoys Humans
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2022-10-02T20:50:43Z
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mlnews #openai #ai Everything important going on in the ML world right here! Sponsor: Paperspace ...
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rvr143crpuU
UCZHmQk67mSJgfCCTn7xBfew
Accelerating Deep Learning by Focusing on the Biggest Losers
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2019-10-07T12:35:36Z
null
What if you could reduce the time your network trains by only training on the hard examples? This paper proposes to select ...
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2v0xU2N1cdI
UCZHmQk67mSJgfCCTn7xBfew
IT ARRIVED! YouTube sent me a package. (also: Limited Time Merch Deal)
null
2022-01-27T15:01:04Z
null
LIMITED TIME MERCH DEAL: http://store.ykilcher.com Links: TabNine Code Completion (Referral): http://bit.ly/tabnine-yannick ...
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sEG8hD64c_Q
UCZHmQk67mSJgfCCTn7xBfew
TUNIT: Rethinking the Truly Unsupervised Image-to-Image Translation (Paper Explained)
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2020-06-16T14:16:24Z
null
Image-to-Image translation usually requires corresponding samples or at least domain labels of the dataset. This paper removes ...
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8Oy7o3Yu-Xo
UCZHmQk67mSJgfCCTn7xBfew
Efficient and Modular Implicit Differentiation (Machine Learning Research Paper Explained)
null
2021-06-11T21:14:12Z
null
implicitfunction #jax #autodiff Many problems in Machine Learning involve loops of inner and outer optimization. Finding update ...
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null
null
WVPE62Gk3EM
UCZHmQk67mSJgfCCTn7xBfew
Big Bird: Transformers for Longer Sequences (Paper Explained)
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2020-08-02T07:49:12Z
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ai #nlp #attention The quadratic resource requirements of the attention mechanism are the main roadblock in scaling up ...
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Ru23eWAQ6_E
UCZHmQk67mSJgfCCTn7xBfew
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances (SayCan - Paper Explained)
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2022-04-30T16:26:42Z
null
saycan #robots #ai Large Language Models are excellent at generating plausible plans in response to real-world problems, but ...
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VQoyypYTz2U
UCZHmQk67mSJgfCCTn7xBfew
All about AI Accelerators: GPU, TPU, Dataflow, Near-Memory, Optical, Neuromorphic & more (w/ Author)
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2022-02-20T16:48:36Z
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ai #gpu #tpu This video is an interview with Adi Fuchs, author of a series called "AI Accelerators", and an expert in modern AI ...
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ZfDZRX3WiJg
UCZHmQk67mSJgfCCTn7xBfew
VirTex: Learning Visual Representations from Textual Annotations (Paper Explained)
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2020-06-12T17:28:15Z
null
Pre-training a CNN backbone for visual transfer learning has recently seen a big push into the direction of incorporating more data ...
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DdkenV-ZdJU
UCZHmQk67mSJgfCCTn7xBfew
The Weird and Wonderful World of AI Art (w/ Author Jack Morris)
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2022-04-04T13:13:08Z
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aiart #deeplearning #clip Since the release of CLIP, the world of AI art has seen an unprecedented level of acceleration in what's ...
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qgUegkefocg
UCZHmQk67mSJgfCCTn7xBfew
Fastformer: Additive Attention Can Be All You Need (Machine Learning Research Paper Explained)
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2021-08-26T13:32:01Z
null
attention #transformer #fastformer Transformers have become the dominant model class in the last few years for large data, but ...
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null
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waK7AD-AEyc
UCZHmQk67mSJgfCCTn7xBfew
NeurIPS 19 Poster Session
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2019-12-11T19:56:52Z
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I'm at the poster session and the amount of people here is just crazy.
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null
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yPjuAo53uNI
UCZHmQk67mSJgfCCTn7xBfew
[Rant] The Male Only History of Deep Learning
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2020-04-22T11:58:28Z
null
This casting of our field in terms of ideological narrow-sighted group-think is disgusting. Keep Science about ideas!
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tC01FRB0M7w
UCZHmQk67mSJgfCCTn7xBfew
Turing-NLG, DeepSpeed and the ZeRO optimizer
null
2020-02-11T14:56:20Z
null
Microsoft has trained a 17-billion parameter language model that achieves state-of-the-art perplexity. This video takes a look at ...
null
null
null
agXIYMCICcc
UCZHmQk67mSJgfCCTn7xBfew
Imagination-Augmented Agents for Deep Reinforcement Learning
null
2017-08-04T07:15:56Z
null
Commentary of https://arxiv.org/abs/1707.06203 Abstract We introduce Imagination-Augmented Agents (I2As), a novel ...
null
null
null
1aO-uHXbzmQ
UCZHmQk67mSJgfCCTn7xBfew
Jukebox: A Generative Model for Music (Paper Explained)
null
2020-05-02T11:06:26Z
null
This generative model for music can make entire songs with remarkable quality and consistency. It can be conditioned on genre, ...
null
null
null
B9PL__gVxLI
UCZHmQk67mSJgfCCTn7xBfew
DeepMind's AlphaFold 2 Explained! AI Breakthrough in Protein Folding! What we know (& what we don't)
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2020-12-01T15:31:42Z
null
deepmind #biology #ai This is Biology's AlexNet moment! DeepMind solves a 50-year old problem in Protein Folding Prediction.
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sbKaUc0tPaY
UCZHmQk67mSJgfCCTn7xBfew
The Odds are Odd: A Statistical Test for Detecting Adversarial Examples
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2019-02-20T05:12:21Z
null
https://arxiv.org/abs/1902.04818 Abstract: We investigate conditions under which test statistics exist that can reliably detect ...
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ahRPdiCop3E
UCZHmQk67mSJgfCCTn7xBfew
Deep Networks Are Kernel Machines (Paper Explained)
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2021-02-04T14:36:15Z
null
deeplearning #kernels #neuralnetworks Full Title: Every Model Learned by Gradient Descent Is Approximately a Kernel Machine ...
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Nq3auVtvd9Q
UCZHmQk67mSJgfCCTn7xBfew
[Classic] ImageNet Classification with Deep Convolutional Neural Networks (Paper Explained)
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2020-07-23T13:00:13Z
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ai #research #alexnet AlexNet was the start of the deep learning revolution. Up until 2012, the best computer vision systems relied ...
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BTLCdge7uSQ
UCZHmQk67mSJgfCCTn7xBfew
AlphaStar: Grandmaster level in StarCraft II using multi-agent reinforcement learning
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2019-11-02T11:23:04Z
null
DeepMind's new agent to tackle yet another Esport: Starcraft II. This agent uses deep reinforcement learning with a new technique ...
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k1GOF2jmX7c
UCZHmQk67mSJgfCCTn7xBfew
Big Transfer (BiT): General Visual Representation Learning (Paper Explained)
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2020-05-09T13:28:25Z
null
One CNN to rule them all! BiT is a pre-trained ResNet that can be used as a starting point for any visual task. This paper explains ...
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DYBmD88vpiA
UCZHmQk67mSJgfCCTn7xBfew
Object-Centric Learning with Slot Attention (Paper Explained)
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2020-06-30T17:10:35Z
null
Visual scenes are often comprised of sets of independent objects. Yet, current vision models make no assumptions about the ...
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p-zOeQCoG9c
UCZHmQk67mSJgfCCTn7xBfew
Weight Standardization (Paper Explained)
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2020-05-15T14:11:14Z
null
It's common for neural networks to include data normalization such as BatchNorm or GroupNorm. This paper extends the ...
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g08NkNWmZTA
UCZHmQk67mSJgfCCTn7xBfew
XCiT: Cross-Covariance Image Transformers (Facebook AI Machine Learning Research Paper Explained)
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2021-06-23T12:25:53Z
null
xcit #transformer #attentionmechanism After dominating Natural Language Processing, Transformers have taken over Computer ...
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hMO6rbMAPew
UCZHmQk67mSJgfCCTn7xBfew
Adversarial Examples Are Not Bugs, They Are Features
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2019-05-14T13:45:57Z
null
Abstract: Adversarial examples have attracted significant attention in machine learning, but the reasons for their existence and ...
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DiNzQP7kK-s
UCZHmQk67mSJgfCCTn7xBfew
Descending through a Crowded Valley -- Benchmarking Deep Learning Optimizers (Paper Explained)
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2020-10-11T12:46:39Z
null
ai #research #optimization Deep Learning famously gives rise to very complex, non-linear optimization problems that cannot be ...
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u1_qMdb0kYU
UCZHmQk67mSJgfCCTn7xBfew
GPT-2: Language Models are Unsupervised Multitask Learners
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2019-02-18T16:11:42Z
null
A look at OpenAI's new GPT-2 model and the surrounding controversy. https://blog.openai.com/better-language-models/ Abstract: ...
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gJR28onlqzs
UCZHmQk67mSJgfCCTn7xBfew
How much memory does Longformer use?
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2020-04-25T12:51:24Z
null
A calculation of the memory requirements of the Longformer. Original video: https://youtu.be/_8KNb5iqblE Paper: ...
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NAJOZTNkhlI
UCZHmQk67mSJgfCCTn7xBfew
Language Models are Open Knowledge Graphs (Paper Explained)
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2020-11-02T14:02:08Z
null
ai #research #nlp Knowledge Graphs are structured databases that capture real-world entities and their relations to each other.
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2h4tRsQzipQ
UCZHmQk67mSJgfCCTn7xBfew
Autoregressive Diffusion Models (Machine Learning Research Paper Explained)
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2021-11-10T13:24:24Z
null
machinelearning #ardm #generativemodels Diffusion models have made large advances in recent months as a new type of ...
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nXGHJTtFYRU
UCZHmQk67mSJgfCCTn7xBfew
Dynamic Routing Between Capsules
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2019-09-04T14:02:31Z
null
Geoff Hinton's next big idea! Capsule Networks are an alternative way of implementing neural networks by dividing each layer into ...
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NeGJAUSQEJI
UCZHmQk67mSJgfCCTn7xBfew
Improving Intrinsic Exploration with Language Abstractions (Machine Learning Paper Explained)
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2022-04-01T18:51:58Z
null
reinforcementlearning #ai #explained Exploration is one of the oldest challenges for Reinforcement Learning algorithms, with no ...
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U0mxx7AoNz0
UCZHmQk67mSJgfCCTn7xBfew
Player of Games: All the games, one algorithm! (w/ author Martin Schmid)
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2022-01-02T12:34:43Z
null
playerofgames #deepmind #alphazero Special Guest: First author Martin Schmid (https://twitter.com/Lifrordi) Games have been ...
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MgJ3JsE3Tqo
UCZHmQk67mSJgfCCTn7xBfew
Author Interview - VOS: Learning What You Don't Know by Virtual Outlier Synthesis
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2022-03-14T14:01:38Z
null
deeplearning #objectdetection #outliers An interview with the authors of "Virtual Outlier Synthesis". Watch the paper review video ...
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IaS72aHrJKE
UCZHmQk67mSJgfCCTn7xBfew
Fourier Neural Operator for Parametric Partial Differential Equations (Paper Explained)
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2020-11-22T13:50:36Z
null
ai #research #engineering Numerical solvers for Partial Differential Equations are notoriously slow. They need to evolve their ...
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uwfVxckuq50
UCZHmQk67mSJgfCCTn7xBfew
Why AI is Harder Than We Think (Machine Learning Research Paper Explained)
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2021-04-30T16:02:42Z
null
aiwinter #agi #embodiedcognition The AI community has gone through regular cycles of AI Springs, where rapid progress gave ...
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qS-iYnp00uc
UCZHmQk67mSJgfCCTn7xBfew
Parti - Scaling Autoregressive Models for Content-Rich Text-to-Image Generation (Paper Explained)
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2022-06-23T22:38:33Z
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parti #ai #aiart Parti is a new autoregressive text-to-image model that shows just how much scale can achieve. This model's ...
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O_dJ31T01i8
UCZHmQk67mSJgfCCTn7xBfew
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments (Review)
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2022-03-18T12:14:08Z
null
multitasklearning #biology #neuralnetworks Catastrophic forgetting is a big problem in mutli-task and continual learning.
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rR5_emVeyBk
UCZHmQk67mSJgfCCTn7xBfew
AI made this music video | What happens when OpenAI's CLIP meets BigGAN?
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2021-05-18T14:47:54Z
null
artificialintelligence #musicvideo #clip I used OpenAI's CLIP model and BigGAN to create a music video that goes along with the ...
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hQEnzdLkPj4
UCZHmQk67mSJgfCCTn7xBfew
Learning To Classify Images Without Labels (Paper Explained)
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2020-06-03T13:22:28Z
null
How do you learn labels without labels? How do you classify images when you don't know what to classify them into? This paper ...
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2ethDz9KnLk
UCZHmQk67mSJgfCCTn7xBfew
The hidden dangers of loading open-source AI models (ARBITRARY CODE EXPLOIT!)
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2022-09-02T20:16:53Z
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huggingface #pickle #exploit Did you know that something as simple as loading a model can execute arbitrary code on your ...
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-YiMVR3HEuY
UCZHmQk67mSJgfCCTn7xBfew
Reinforcement Learning with Unsupervised Auxiliary Tasks
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2017-08-28T06:53:30Z
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https://arxiv.org/abs/1611.05397 Abstract: Deep reinforcement learning agents have achieved state-of-the-art results by directly ...
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hg2Q_O5b9w4
UCZHmQk67mSJgfCCTn7xBfew
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
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2020-04-11T11:04:57Z
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Contrastive Learning has been an established method in NLP and Image classification. The authors show that with relatively ...
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LfUsGv-ESbc
UCZHmQk67mSJgfCCTn7xBfew
[Code] How to use Facebook's DETR object detection algorithm in Python (Full Tutorial)
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2020-05-30T13:17:04Z
null
Watch my as I struggle my way up the glorious path of using the DETR object detection model in PyTorch. Original Video on ...
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xJrKIPwVwGM
UCZHmQk67mSJgfCCTn7xBfew
Rethinking Attention with Performers (Paper Explained)
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2020-10-26T16:57:35Z
null
ai #research #attention Transformers have huge memory and compute requirements because they construct an Attention matrix, ...
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j4xgkjWlfL4
UCZHmQk67mSJgfCCTn7xBfew
OpenAI DALL·E: Creating Images from Text (Blog Post Explained)
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2021-01-06T13:49:24Z
null
openai #science #gpt3 OpenAI's newest model, DALL·E, shows absolutely amazing abilities in generating high-quality images ...
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Nfry2b4RFI4
UCZHmQk67mSJgfCCTn7xBfew
Investigating Human Priors for Playing Video Games (Paper & Demo)
null
2020-05-20T13:52:49Z
null
Why are humans so good at video games? Maybe it's because a lot of games are designed with humans in mind. What happens if ...
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null
null
pBau7umFhjQ
UCZHmQk67mSJgfCCTn7xBfew
Topographic VAEs learn Equivariant Capsules (Machine Learning Research Paper Explained)
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2021-09-20T20:01:59Z
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tvae #topographic #equivariant Variational Autoencoders model the latent space as a set of independent Gaussian random ...
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NJCLUzkn-sA
UCZHmQk67mSJgfCCTn7xBfew
EfficientZero: Mastering Atari Games with Limited Data (Machine Learning Research Paper Explained)
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2021-11-03T15:54:39Z
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efficientzero #muzero #atari Reinforcement Learning methods are notoriously data-hungry. Notably, MuZero learns a latent world ...
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Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation (Paper Explained)
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2020-08-28T13:06:20Z
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ai #machinelearning #attention Convolutional Neural Networks have dominated image processing for the last decade, but ...
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I COOKED A RECIPE MADE BY A.I. | Cooking with GPT-3 (Don't try this at home)
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2021-04-27T14:34:28Z
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gpt3 #airecipe #cooking We went to the store and bought a set of completely random ingredients and had OpenAI's GPT-3 come ...
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yVKiMh2vEWQ
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[ML News] ConvNeXt: Convolutions return | China regulates algorithms | Saliency cropping examined
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2022-01-25T14:42:01Z
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mlnews #convnext #mt3 Your update on what's new in the Machine Learning world! OUTLINE: 0:00 - Intro 0:15 - ConvNeXt: ...
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ReBeL - Combining Deep Reinforcement Learning and Search for Imperfect-Information Games (Explained)
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2020-12-16T13:55:47Z
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ai #technology #poker This paper does for Poker what AlphaZero has done for Chess & Go. The combination of Self-Play ...
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[ML News] De-Biasing GPT-3 | RL cracks chip design | NetHack challenge | Open-Source GPT-J
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2021-06-16T14:14:33Z
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OUTLINE: 0:00 - Intro 0:30 - Google RL creates next-gen TPUs 2:15 - Facebook launches NetHack challenge 3:50 - OpenAI ...
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Discovering Symbolic Models from Deep Learning with Inductive Biases (Paper Explained)
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2020-06-25T14:09:09Z
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Neural networks are very good at predicting systems' numerical outputs, but not very good at deriving the discrete symbolic ...
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My GitHub (Trash code I wrote during PhD)
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2021-06-08T17:46:22Z
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phdlife #github #researchcode A brief browse through my public GitHub and musings about my old code.
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[ML News] Roomba Avoids Poop | Textless NLP | TikTok Algorithm Secrets | New Schmidhuber Blog
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2021-09-16T15:33:23Z
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schmidhuber #tiktok #roomba Your regularly irregular update on what's happening in the world of Machine Learning. OUTLINE: ...
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DeBERTa: Decoding-enhanced BERT with Disentangled Attention (Machine Learning Paper Explained)
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2021-02-25T17:26:39Z
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deberta #bert #huggingface DeBERTa by Microsoft is the next iteration of BERT-style Self-Attention Transformer models, ...
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STOCHASTIC MEME DESCENT - Deep Learning Meme Review - Episode 2 (Part 2 of 2)
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2021-01-17T09:55:02Z
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memes #science #ai Part 2 of Antonio and me examining the latest and greatest of deep learning memes. Music: Sunshower ...
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Feature Visualization & The OpenAI microscope
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2020-04-17T09:47:23Z
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A closer look at the OpenAI microscope, a database of visualizations of the inner workings of ImageNet classifiers, along with an ...
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Image GPT: Generative Pretraining from Pixels (Paper Explained)
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2020-06-18T13:24:24Z
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BERT and GPT-2/3 have shown the enormous power of using generative models as pre-training for classification tasks. However ...
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How I Read a Paper: Facebook's DETR (Video Tutorial)
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2020-06-24T13:48:00Z
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I retrace my first reading of Facebook AI's DETR paper and explain my process of understanding it. OUTLINE: 0:00 - Introduction ...
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TransCoder: Unsupervised Translation of Programming Languages (Paper Explained)
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2020-06-09T14:07:27Z
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Code migration between languages is an expensive and laborious task. To translate from one language to the other, one needs to ...
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[ML Olds] Meta Research Supercluster | OpenAI GPT-Instruct | Google LaMDA | Drones fight Pigeons
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2022-02-23T14:52:29Z
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mlnews #rsc #gpt3 Some things we've missed in recent weeks! OUTLINE: 0:00 - Intro & Overview 0:40 - Meta builds AI Research ...
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MEMES IS ALL YOU NEED - Deep Learning Meme Review - Episode 2 (Part 1 of 2)
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2020-12-24T23:18:43Z
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memes #science #ai Antonio and I critique the creme de la creme of Deep Learning memes. Music: Sunshower - LATASHÁ ...
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RepNet: Counting Out Time - Class Agnostic Video Repetition Counting in the Wild (Paper Explained)
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2020-06-23T13:54:48Z
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Counting repeated actions in a video is one of the easiest tasks for humans, yet remains incredibly hard for machines. RepNet ...
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[ML News] GPT-3 learns to edit | Google Pathways | Make-A-Scene | CLIP meets GamePhysics | DouBlind
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2022-03-30T21:27:25Z
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mlnews #gpt3 #pathways Your updates on the latest and greatest from the depths of Machine Learning! Sponsor: Weights ...
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Training more effective learned optimizers, and using them to train themselves (Paper Explained)
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2020-10-03T16:06:32Z
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ai #research #optimization Optimization is still the domain of hand-crafted, simple algorithms. An ML engineer not only has to pick ...
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Deep Learning for Symbolic Mathematics
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2020-02-24T16:55:45Z
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This model solves integrals and ODEs by doing seq2seq! https://arxiv.org/abs/1912.01412 ...
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SynFlow: Pruning neural networks without any data by iteratively conserving synaptic flow
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2020-06-14T13:48:08Z
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The Lottery Ticket Hypothesis has shown that it's theoretically possible to prune a neural network at the beginning of training and ...
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Decision Transformer: Reinforcement Learning via Sequence Modeling (Research Paper Explained)
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2021-06-05T16:54:02Z
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decisiontransformer #reinforcementlearning #transformer Proper credit assignment over long timespans is a fundamental problem ...
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