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📄 Research Papers Explained

The latest AI papers broken down — attention, RLHF, diffusion, MoE and more

All ▶ YouTube 198,218📚 Coursera 18,118🏛 Archive.org 58🎤 TED 1
Genie 3: A New Frontier for World Models [Jack Parker-Holder and Shlomi Fruchter] - 743
📄 Research Papers Explained
Genie 3: A New Frontier for World Models [Jack Parker-Holder and Shlomi Fruchter] - 743
The TWIML AI Podcast with Sam Charrington Advanced 7mo ago
Accelerating AI Training and Inference with AWS Trainium2 with Ron Diamant - 720
📄 Research Papers Explained
Accelerating AI Training and Inference with AWS Trainium2 with Ron Diamant - 720
The TWIML AI Podcast with Sam Charrington Advanced 1y ago
AI at the Edge: Qualcomm AI Research at NeurIPS 2024 with Arash Behboodi - 711
📄 Research Papers Explained
AI at the Edge: Qualcomm AI Research at NeurIPS 2024 with Arash Behboodi - 711
The TWIML AI Podcast with Sam Charrington Advanced 1y ago
Genie: Generative Interactive Environments with Ashley Edwards - 696
📄 Research Papers Explained
Genie: Generative Interactive Environments with Ashley Edwards - 696
The TWIML AI Podcast with Sam Charrington Advanced 1y ago
Mamba, Mamba-2 and Post-Transformer Architectures for Generative AI with Albert Gu - 693
📄 Research Papers Explained
Mamba, Mamba-2 and Post-Transformer Architectures for Generative AI with Albert Gu - 693
The TWIML AI Podcast with Sam Charrington Advanced 1y ago
Energy Star Ratings for AI Models with Sasha Luccioni - 687
📄 Research Papers Explained
Energy Star Ratings for AI Models with Sasha Luccioni - 687
The TWIML AI Podcast with Sam Charrington Advanced 1y ago
Coercing LLMs to Do and Reveal (Almost) Anything with Jonas Geiping - 678
📄 Research Papers Explained
Coercing LLMs to Do and Reveal (Almost) Anything with Jonas Geiping - 678
The TWIML AI Podcast with Sam Charrington Advanced 1y ago
Learning Transformer Programs with Dan Friedman - 667
📄 Research Papers Explained
Learning Transformer Programs with Dan Friedman - 667
The TWIML AI Podcast with Sam Charrington Advanced 2y ago
AI Access and Inclusivity as a Technical Challenge with Prem Natarajan - 658
📄 Research Papers Explained
AI Access and Inclusivity as a Technical Challenge with Prem Natarajan - 658
The TWIML AI Podcast with Sam Charrington Advanced 2y ago
Visual Generative AI Ecosystem Challenges with Richard Zhang - 656
📄 Research Papers Explained
Visual Generative AI Ecosystem Challenges with Richard Zhang - 656
The TWIML AI Podcast with Sam Charrington Advanced 2y ago
Pushing Back on AI Hype with Alex Hanna - 649
📄 Research Papers Explained
Pushing Back on AI Hype with Alex Hanna - 649
The TWIML AI Podcast with Sam Charrington Advanced 2y ago
Transformers On Large-Scale Graphs with Bayan Bruss - 641
📄 Research Papers Explained
Transformers On Large-Scale Graphs with Bayan Bruss - 641
The TWIML AI Podcast with Sam Charrington Advanced 2y ago
Building Maps and Spatial Awareness in Blind AI Agents with Dhruv Batra - 629
📄 Research Papers Explained
Building Maps and Spatial Awareness in Blind AI Agents with Dhruv Batra - 629
The TWIML AI Podcast with Sam Charrington Advanced 2y ago
Hyperparameter Optimization through Neural Network Partitioning with Christos Louizos - 627
📄 Research Papers Explained
Hyperparameter Optimization through Neural Network Partitioning with Christos Louizos - 627
The TWIML AI Podcast with Sam Charrington Advanced 2y ago
Supporting Food Security in Africa Using ML with Catherine Nakalembe - 611
📄 Research Papers Explained
Supporting Food Security in Africa Using ML with Catherine Nakalembe - 611
The TWIML AI Podcast with Sam Charrington Advanced 3y ago
Weakly Supervised Causal Representation Learning w/ Johann Brehmer
📄 Research Papers Explained
Weakly Supervised Causal Representation Learning w/ Johann Brehmer
The TWIML AI Podcast with Sam Charrington Advanced 3y ago
Accelerating Intelligence with AI-Generating Algorithms with Jeff Clune - 602
📄 Research Papers Explained
Accelerating Intelligence with AI-Generating Algorithms with Jeff Clune - 602
The TWIML AI Podcast with Sam Charrington Advanced 3y ago
Transformers for Tabular Data at Capital One with Bayan Bruss - #591
📄 Research Papers Explained
Transformers for Tabular Data at Capital One with Bayan Bruss - #591
The TWIML AI Podcast with Sam Charrington Advanced 3y ago
Approaches to Better Video Models Performance - Clips - #496
📄 Research Papers Explained
Approaches to Better Video Models Performance - Clips - #496
The TWIML AI Podcast with Sam Charrington Advanced 3y ago
What is the Paretto Efficient Frontier? - Clips - #505
📄 Research Papers Explained
What is the Paretto Efficient Frontier? - Clips - #505
The TWIML AI Podcast with Sam Charrington Advanced 3y ago
Explainable Monitoring for Successful AI Deployments
📄 Research Papers Explained
Explainable Monitoring for Successful AI Deployments
The TWIML AI Podcast with Sam Charrington Advanced 3y ago
On The Path Towards Robot Vision with Aljosa Osep - #581
📄 Research Papers Explained
On The Path Towards Robot Vision with Aljosa Osep - #581
The TWIML AI Podcast with Sam Charrington Advanced 3y ago
Advances in Neural Compression with Auke Wiggers - #570
📄 Research Papers Explained
Advances in Neural Compression with Auke Wiggers - #570
The TWIML AI Podcast with Sam Charrington Advanced 3y ago
Mixture-of-Experts and Trends in Large-Scale Language Modeling with Irwan Bello - #569
📄 Research Papers Explained
Mixture-of-Experts and Trends in Large-Scale Language Modeling with Irwan Bello - #569
The TWIML AI Podcast with Sam Charrington Advanced 3y ago
Hierarchical and Continual RL with Doina Precup - #567
📄 Research Papers Explained
Hierarchical and Continual RL with Doina Precup - #567
The TWIML AI Podcast with Sam Charrington Advanced 3y ago
Deep Reinforcement Learning at the Edge of the Statistical Precipice with Rishabh Agarwal - #559
📄 Research Papers Explained
Deep Reinforcement Learning at the Edge of the Statistical Precipice with Rishabh Agarwal - #559
The TWIML AI Podcast with Sam Charrington Advanced 4y ago
Solving the Cocktail Party Problem with Machine Learning, w/ ‪Jonathan Le Roux - #555
📄 Research Papers Explained
Solving the Cocktail Party Problem with Machine Learning, w/ ‪Jonathan Le Roux - #555
The TWIML AI Podcast with Sam Charrington Advanced 4y ago
Deep Reinforcement Learning for Game Testing at EA with Konrad Tollmar - #517
📄 Research Papers Explained
Deep Reinforcement Learning for Game Testing at EA with Konrad Tollmar - #517
The TWIML AI Podcast with Sam Charrington Advanced 4y ago
Constraint Active Search for Human-in-the-Loop Optimization with Gustavo Malkomes - #505
📄 Research Papers Explained
Constraint Active Search for Human-in-the-Loop Optimization with Gustavo Malkomes - #505
The TWIML AI Podcast with Sam Charrington Advanced 4y ago
Vector Quantization for NN Compression with Julieta Martinez - #498
📄 Research Papers Explained
Vector Quantization for NN Compression with Julieta Martinez - #498
The TWIML AI Podcast with Sam Charrington Advanced 4y ago
Skip-Convolutions for Efficient Video Processing with Amir Habibian - #496
📄 Research Papers Explained
Skip-Convolutions for Efficient Video Processing with Amir Habibian - #496
The TWIML AI Podcast with Sam Charrington Advanced 4y ago
Advancing NLP with Project Debater w/ Noam Slonim - #495
📄 Research Papers Explained
Advancing NLP with Project Debater w/ Noam Slonim - #495
The TWIML AI Podcast with Sam Charrington Advanced 4y ago
Learning Long-Time Dependencies with RNNs w/ Konstantin Rusch - #484
📄 Research Papers Explained
Learning Long-Time Dependencies with RNNs w/ Konstantin Rusch - #484
The TWIML AI Podcast with Sam Charrington Advanced 4y ago
Can Language Models Be Too Big? 🦜with Emily Bender and Margaret Mitchell - #467
📄 Research Papers Explained
Can Language Models Be Too Big? 🦜with Emily Bender and Margaret Mitchell - #467
The TWIML AI Podcast with Sam Charrington Advanced 5y ago
System Design for Autonomous Vehicles with Drago Anguelov - #454
📄 Research Papers Explained
System Design for Autonomous Vehicles with Drago Anguelov - #454
The TWIML AI Podcast with Sam Charrington Advanced 5y ago
System Design for Autonomous Vehicles with Drago Anguelov - #454 - Audio Only
📄 Research Papers Explained
System Design for Autonomous Vehicles with Drago Anguelov - #454 - Audio Only
The TWIML AI Podcast with Sam Charrington Advanced 5y ago
Trends in Reinforcement Learning with Pablo Samuel Castro - #443
📄 Research Papers Explained
Trends in Reinforcement Learning with Pablo Samuel Castro - #443
The TWIML AI Podcast with Sam Charrington Advanced 5y ago
MOReL: Model-Based Offline Reinforcement Learning with Aravind Rajeswaran - #442
📄 Research Papers Explained
MOReL: Model-Based Offline Reinforcement Learning with Aravind Rajeswaran - #442
The TWIML AI Podcast with Sam Charrington Advanced 5y ago
NLP for Equity Investing with Frank Zhao - #424
📄 Research Papers Explained
NLP for Equity Investing with Frank Zhao - #424
The TWIML AI Podcast with Sam Charrington Advanced 5y ago
#TWIMLfest: Live Watch Party and AMA with Milind Tambe
📄 Research Papers Explained
#TWIMLfest: Live Watch Party and AMA with Milind Tambe
The TWIML AI Podcast with Sam Charrington Advanced 5y ago
#TWIMLfest: Deep Learning in Medical Imaging
📄 Research Papers Explained
#TWIMLfest: Deep Learning in Medical Imaging
The TWIML AI Podcast with Sam Charrington Advanced 5y ago
That's a VIBE: ML for Human Pose and Shape Estimation with Nikos Athanasiou, Muhammed Kocabas,...
📄 Research Papers Explained
That's a VIBE: ML for Human Pose and Shape Estimation with Nikos Athanasiou, Muhammed Kocabas,...
The TWIML AI Podcast with Sam Charrington Advanced 5y ago
Channel Gating for Cheaper and More Accurate Neural Nets with Babak Ehteshami Bejnordi - #385
📄 Research Papers Explained
Channel Gating for Cheaper and More Accurate Neural Nets with Babak Ehteshami Bejnordi - #385
The TWIML AI Podcast with Sam Charrington Advanced 5y ago
Understanding the COVID-19 Data Quality Problem with Sherri Rose - #374
📄 Research Papers Explained
Understanding the COVID-19 Data Quality Problem with Sherri Rose - #374
The TWIML AI Podcast with Sam Charrington Advanced 5y ago
Panel: Responsible Data Science in the Fight Against COVID-19 - #370
📄 Research Papers Explained
Panel: Responsible Data Science in the Fight Against COVID-19 - #370
The TWIML AI Podcast with Sam Charrington Advanced 5y ago
AI for Social Good: Why “Good” isn’t Enough with Ben Green - #368
📄 Research Papers Explained
AI for Social Good: Why “Good” isn’t Enough with Ben Green - #368
The TWIML AI Podcast with Sam Charrington Advanced 5y ago
Neural Architecture Search and Google’s New AutoML Zero with Quoc Le - #366
📄 Research Papers Explained
Neural Architecture Search and Google’s New AutoML Zero with Quoc Le - #366
The TWIML AI Podcast with Sam Charrington Advanced 5y ago
Neural Ordinary Differential Equations with David Duvenaud - #364
📄 Research Papers Explained
Neural Ordinary Differential Equations with David Duvenaud - #364
The TWIML AI Podcast with Sam Charrington Advanced 5y ago
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