2020-05-20 | Leaf Doctor: Plant Disease Detection Using Image Classification | Deep Learning Workshop Capstone | 9:05 | 7,687 | |
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2020-05-20 | New methods for identifying latent manifold structure from neural data | ASIC | 1:02:14 | 558 | |
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2020-05-20 | Using unsupervised machine learning to uncover hidden scientific knowledge | AISC | 59:34 | 740 | |
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2020-05-15 | FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding | 1:00:35 | 606 | |
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2020-05-15 | A Literature Review on ML in Climate Science | AISC | 55:16 | 501 | Review |
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2020-05-14 | [cnvrg.io] Operating System for Machine Learning | AISC | 50:18 | 636 | |
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2020-05-13 | Tobias Pfaff (DeepMind): Learning to Simulate Complex Physics with Graph Networks | 54:04 | 4,865 | |
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2020-05-08 | Multi Type Mean Field Reinforcement Learning | AISC | 58:34 | 934 | |
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2020-05-08 | Proving the Lottery Ticket Hypothesis: Pruning is All You Need | AISC Livestream with the Author | 46:31 | 1,001 | |
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2020-05-07 | Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthe | 1:04:03 | 656 | |
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2020-05-07 | A Literature Review on Deep Learning in Finance | AISC | 45:22 | 742 | Review |
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2020-05-02 | COVID19 and AI: Ethics and Data Rights Panel | AISC & NYAI | 55:39 | 234 | Discussion |
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2020-05-01 | A Literature Review on Interpretability for Machine Learning | AISC | 49:09 | 706 | Review |
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2020-04-30 | A Literature Review on ML in Health Care : Introducing new AISC Stream | AISC | 46:44 | 334 | Review |
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2020-04-30 | A Literature Review on ML in Neuroscience - Introducing new AISC Stream | AISC | 1:03:05 | 492 | Review |
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2020-04-29 | Model Selection for Optimal Prediction in Statistical Learning (Part 1: 7 Wheels of Stat Learning) | 1:17:27 | 540 | |
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2020-04-29 | A Literature Review on Machine Learning in Materials Science | AISC | 31:19 | 1,516 | Review |
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2020-04-24 | SELFIES: A 100% robust representation of semantically constrained Graphs, for deep generative models | 48:51 | 498 | |
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2020-04-23 | A Literature Review on Reinforcement Learning in Process Control | AISC | 38:23 | 1,122 | Review |
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2020-04-23 | Learning to Play Soccer by Reinforcement Learning | AISC | 56:23 | 499 | |
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2020-04-22 | Founders Stream: Customer Journey Maps in a Post-COVID-19 World | AISC | 59:52 | 281 | |
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2020-04-17 | End to end recommender engine using Amazon Glue and SageMaker - Use Case for Data Scientists | AISC | 49:24 | 858 | |
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2020-04-16 | A Literature Review on Graph Neural Networks | 49:10 | 4,071 | Review |
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2020-04-01 | Hypothesis Generation with AGATHA : Accelerate Scientific Discovery with Deep Learning | AISC | 47:09 | 624 | |
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2020-03-31 | Trusted Text Classification from Concept to Deployment | NLP Workshop Capstone | 10:54 | 1,162 | Let's Play |
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2020-03-31 | Deploying a News Summarizer RSS Feed App | NLP Workshop Capstone | 10:28 | 583 | Let's Play |
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2020-03-31 | Customer reviews summarization with Seq2Seq architecture and attention | NLP Workshop Capstone | 5:24 | 472 | Let's Play |
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2020-03-31 | Massive acceleration by using neural networks to emulate mechanism-based biological models | 31:24 | 393 | Vlog |
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2020-03-26 | Integrating Privacy is Integrating Ethics: What privacy could have done for Clearview AI | AISC | 56:14 | 168 | |
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2020-03-25 | Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches | | 54:18 | 1,279 | |
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2020-03-24 | [Author speaking] Protein docking model evaluation by 3D convolutional neural networks | AISC | 54:24 | 1,238 | |
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2020-03-23 | Building and leveraging pragmatic AI solutions for legal services | AISC | 44:12 | 181 | |
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2020-03-17 | Deep learning interpretation of echocardiograms | AISC | 48:12 | 515 | |
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2020-03-10 | News Recommender System Considering Temporal Dynamics and News Taxonomy | AISC | 53:36 | 1,158 | |
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2020-03-09 | Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning | | 1:12:13 | 695 | |
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2020-03-04 | Can deep learning AI help with detecting COVID-19/coronavirus? | 1:02:10 | 7,470 | |
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2020-03-03 | Daniel Lemire: The research paper should NOT be the final product | AISC | 1:02:12 | 474 | |
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2020-02-29 | Model Packaging Overview (NLP + MLOps workshop sneak peak) | 2:41 | 535 | Let's Play |
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2020-02-26 | [hgraph2graph] Hierarchical Generation of Molecular Graphs using Structural Motifs | AISC Spotlight | 55:23 | 1,837 | |
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2020-02-26 | AISC | Women in AI | Dec 2019 | 6:01 | 423 | |
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2020-02-25 | Build and Deploy NLP models | NLP Overview | 2:36 | 915 | Let's Play |
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2020-02-25 | Protein secondary structure detection in intermediate-resolution cryo-EM maps using deep learning | | 59:01 | 340 | |
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2020-02-25 | [AI Product] How to build products people actually want to use | AISC | 1:52:48 | 612 | Guide |
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2020-02-20 | Build and Deploy Machine Learning Models | MLOps Overview | 2:17 | 1,861 | |
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2020-02-19 | Quantifying the dynamics of failure across science, startups and security | AISC | 54:13 | 401 | |
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2020-02-18 | Deep Learning for Symbolic Mathematics | AISC | 56:39 | 1,318 | |
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2020-02-12 | Visualizing and measuring the geometry of BERT | AISC | 57:16 | 1,130 | |
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2020-02-11 | Attention is not not explanation + Character Eyes: Seeing Language through Character-Level Taggers | | 54:16 | 976 | |
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2020-02-11 | Single Headed Attention RNN: Stop Thinking With Your Head | AISC | 2:06:49 | 1,492 | |
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2020-01-28 | Identifying Big ML product opportunities inside Big organizations | AISC | 1:25:11 | 436 | |
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2020-01-23 | Machine Learning in Cyber Security, Overview | AISC | 45:40 | 1,014 | |
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2020-01-22 | BottleSum: Unsupervised & Self-supervised Sentence Summarization w/ Information Bottleneck Principle | 55:28 | 833 | Guide |
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2020-01-21 | A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural | 1:12:57 | 784 | |
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2020-01-14 | Plug and Play Language Models: A Simple Approach to Controlled Text Generation | AISC | 2:36:38 | 3,018 | |
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2020-01-08 | Overview of Modern Anomaly and Novelty Detection | AISC | 53:17 | 2,137 | |
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2020-01-07 | Annotating Object Instances With a Polygon RNN | AISC | 1:10:50 | 455 | |
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2019-12-11 | Predicting translational progress in biomedical research | AISC | 1:10:37 | 246 | |
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2019-12-10 | AlphaStar explained: Grandmaster level in StarCraft II with multi-agent RL | 2:10:12 | 7,012 | Let's Play | StarCraft II
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2019-12-04 | How Can We Be So Dense? The Benefits of Using Highly Sparse Representations | AISC | 59:07 | 630 | |
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2019-12-03 | [RoBERT & ToBERT] Hierarchical Transformers for Long Document Classification | AISC | 1:51:37 | 1,923 | |
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2019-11-26 | [OpenAI] Solving Rubik's Cube with a Robot Hand | AISC | 1:27:59 | 461 | |
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2019-11-19 | Top-K Off-Policy Correction for a REINFORCE Recommender System | AISC | 1:59:25 | 3,588 | |
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2019-11-13 | Overview of Unsupervised & Semi-supervised learning | AISC | 54:02 | 1,688 | |
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2019-11-12 | Building products for Continous Delivery in Machine Learning | AISC | 1:30:12 | 648 | |
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2019-11-06 | [WeightWatcher] Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory | 1:08:16 | 707 | |
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2019-11-05 | Defending Against Fake Neural News | AISC | 1:19:36 | 592 | |
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2019-10-29 | [RecSys Challenge 2019 2nd Place] Robust Contextual Models for In-Session Personalization | AISC | 1:24:19 | 730 | |
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2019-10-23 | Deep learning enables rapid identification of potent DDR1 kinase inhibitors | AISC | 1:11:55 | 1,624 | |
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2019-10-23 | Restricted Boltzmann Machines for Collaborative Filtering | AISC | 1:29:28 | 1,309 | |
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2019-10-16 | Location Intelligence Products: Goals and Challenges | AISC | 1:30:01 | 325 | |
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2019-10-15 | RecSys, Reverse Engineering User's Needs and Desires | AISC | 44:35 | 614 | |
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2019-10-08 | Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities | AISC | 56:33 | 491 | |
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2019-10-08 | DeepStack: Expert-Level Artificial Intelligence in Heads-Up No-Limit Poker | AISC | 1:13:41 | 657 | |
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2019-09-30 | AISC Abstract Night September Edition | AISC | 1:02:13 | 378 | |
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2019-09-26 | EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis | 19:26 | 275 | |
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2019-09-26 | [Gated-SCNN] Gated Shape CNNs for Semantic Segmentation | 15:35 | 2,096 | |
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2019-09-25 | MLOps: Overview of Machine Learning Operations on the Cloud | AISC | 57:48 | 1,117 | |
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2019-09-24 | Lookahead Optimizer: k steps forward, 1 step back | 17:02 | 1,990 | |
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2019-09-24 | Similarity of neural network representations revisited | 21:30 | 2,583 | |
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2019-09-24 | Detecting Customer Complaint Escalation w/ Recurrent Neural Networks & Manually-Engineered Features | 21:41 | 243 | |
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2019-09-24 | Graph Normalizing Flows | 20:34 | 2,741 | |
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2019-09-24 | CNN Architectures for Large-Scale Audio Classification | AISC | 1:37:00 | 1,386 | |
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2019-09-22 | 2019 AI Squared Forum Paper Track | AISC | 3:46:07 | 230 | |
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2019-09-17 | Making of a conversational agent platform | AISC | 1:35:46 | 373 | |
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2019-09-10 | A Survey of Singular Learning | AISC | 1:47:02 | 598 | |
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2019-09-04 | Overview of Reinforcement Learning | AISC | 46:54 | 480 | |
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2019-09-04 | Ernie 2.0: A Continual Pre-Training Framework for Language Understanding | AISC | 1:40:01 | 1,721 | |
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2019-08-28 | Consistency by Agreement in Zero-shot Neural Machine Translation | AISC | 1:02:43 | 436 | |
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2019-08-27 | TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing | AISC | 1:49:47 | 698 | Guide |
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2019-08-21 | Science of science: Identifying Fundamental Drivers of Science | AISC | 1:13:15 | 271 | |
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2019-08-19 | AI Product Stream Meet and Greet | AISC | 1:04:55 | 191 | |
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2019-08-13 | [Original ResNet paper] Deep Residual Learning for Image Recognition | AISC | 1:26:19 | 15,374 | |
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2019-08-11 | [GAT] Graph Attention Networks | AISC Foundational | 1:15:38 | 9,542 | |
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2019-08-07 | XLNet: Generalized Autoregressive Pretraining for Language Understanding | AISC | 1:45:12 | 2,642 | |
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2019-07-31 | Overview of Generative Adversarial Networks | AISC | 1:01:02 | 777 | |
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2019-07-30 | Multi-Armed Bandit Strategies for Non-Stationary Reward Distributions and Delayed Feedback Processes | 55:16 | 934 | |
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2019-07-23 | AISC Abstract Night | 51:06 | 197 | |
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2019-07-16 | The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words & Sentences From Natural Supervision | 1:32:28 | 2,729 | |
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2019-07-10 | TF-Encrypted: Private machine learning in tensorflow with secure computing | AISC Lunch & Learn | 50:50 | 2,144 | |
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2019-07-09 | Unsupervised Data Augmentation | AISC | 1:22:57 | 1,349 | |
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