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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2019-07-04 | Mathematics of Deep Learning Overview | AISC Lunch & Learn | 54:20 | 7,606 | |
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2019-07-03 | Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling | 1:12:21 | 535 | |
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2019-06-26 | Neural Models of Text Normalization for Speech Applications | AISC Author Speaking | 1:00:36 | 1,454 | |
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2019-06-24 | Assessing Modeling Variability in Autonomous Vehicle Accelerated Evaluation | 57:21 | 234 | |
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2019-06-21 | AISC Abstract Night June 20 2019 | 1:31:06 | 196 | |
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2019-06-18 | Learnability can be undecidable | AISC | 2:00:34 | 388 | |
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2019-06-11 | Speech synthesis from neural decoding of spoken sentences | AISC | 1:41:10 | 996 | |
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2019-06-07 | Swim Stroke Analytic: Front Crawl Pulling Pose Classification | AISC | 1:21:10 | 415 | |
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2019-06-05 | State of Natural Language Processing in 2019 | AISC | 59:14 | 1,619 | |
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2019-06-04 | Superposition of Many Models into One | AISC | 1:44:41 | 642 | |
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2019-05-28 | Learning Discrete Structures for Graph Neural Networks | AISC | 1:15:54 | 1,022 | |
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2019-05-24 | Near-optimal Evasion of Randomized Convex-inducing Classifiers in Adversarial Environments | AISC | 1:00:35 | 167 | |
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2019-05-22 | Comparative Document Summarisation via Classification | AISC | 1:12:41 | 312 | |
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2019-05-14 | Sparse Transformers and MuseNet | AISC | 1:27:01 | 1,484 | |
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2019-05-10 | Content Tree Word Embedding for document representation | AISC | 1:21:24 | 472 | |
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2019-05-07 | Deep Temporal Logistic Bag-of-Features For Forecasting High Frequency Limit Order Book Time Series | 1:26:26 | 384 | |
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2019-05-03 | A Web-scale system for scientific knowledge exploration | AISC | 1:06:38 | 250 | |
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2019-05-02 | Convolutional Neural Networks for processing EEG signals | 5:14 | 8,409 | |
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2019-05-02 | Classification of sentiment reviews using n-gram machine learning approach | 5:14 | 3,466 | Review |
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2019-05-02 | Introduction to the Conditional GAN - A General Framework for Pixel2Pixel Translation | 5:14 | 11,931 | |
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2019-05-02 | A Style-Based Generator Architecture for Generative Adversarial Networks | 5:15 | 1,978 | |
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2019-05-02 | A Framework for Developing Deep Learning Classification Models | 5:14 | 443 | |
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2019-05-02 | Revolutionizing Diet and Health with CNN's and the Microbiome | 3:41 | 241 | |
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2019-05-02 | Efficient implementation of a neural network on hardware using compression techniques | 5:14 | 397 | |
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2019-05-02 | Supercharging AI with high performance distributed computing | 5:14 | 690 | |
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2019-05-02 | Combining Satellite Imagery and machine learning to predict poverty | 5:14 | 3,375 | |
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2019-05-02 | Revolutionary Deep Learning Method to Denoise EEG Brainwaves | 5:14 | 2,606 | |
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2019-04-26 | [LISA] Linguistically-Informed Self-Attention for Semantic Role Labeling | AISC | 1:28:00 | 704 | |
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2019-04-23 | How goodness metrics lead to undesired recommendations | 5:13 | 611 | |
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2019-04-23 | Deep Neural Networks for YouTube Recommendation | AISC Foundational | 1:26:17 | 6,956 | |
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2019-04-19 | [Phoenics] A Bayesian Optimizer for Chemistry | AISC Author Speaking | 2:06:09 | 522 | |
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2019-04-18 | Why do large batch sized trainings perform poorly in SGD? - Generalization Gap Explained | AISC | 5:15 | 1,609 | |
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2019-04-16 | Structured Neural Summarization | AISC Lunch & Learn | 1:00:28 | 596 | |
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2019-04-12 | Deep InfoMax: Learning deep representations by mutual information estimation and maximization | AISC | 1:36:53 | 8,786 | Guide |
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2019-04-09 | ACT: Adaptive Computation Time for Recurrent Neural Networks | AISC | 1:39:42 | 517 | |
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2019-04-05 | [FFJORD] Free-form Continuous Dynamics for Scalable Reversible Generative Models (Part 1) | AISC | 34:26 | 2,212 | |
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2019-04-02 | [DOM-Q-NET] Grounded RL on Structured Language | AISC Author Speaking | 1:50:00 | 712 | |
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2019-04-01 | 5-min [machine learning] paper challenge | AISC | 1:14 | 542 | |
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2019-03-29 | [Variational Autoencoder] Auto-Encoding Variational Bayes | AISC Foundational | 1:19:50 | 29,390 | |
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2019-03-26 | [GQN] Neural Scene Representation and Rendering | AISC | 1:30:57 | 3,199 | |
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2019-03-22 | Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples | AISC | 1:33:19 | 604 | |
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2019-03-19 | Understanding the Origins of Bias in Word Embeddings | 1:43:21 | 1,351 | |
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2019-03-15 | [Original Style Transfer] A Neural Algorithm of Artistic Style | TDLS Foundational | 1:14:40 | 2,900 | |
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2019-03-12 | [RecSys 2018 Challenge winner] Two-stage Model for Automatic Playlist Continuation at Scale |TDLS | 1:47:16 | 1,237 | |
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2019-03-08 | [OpenAI GPT2] Language Models are Unsupervised Multitask Learners | TDLS Trending Paper | 1:29:32 | 5,087 | |
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2019-03-05 | You May Not Need Attention | TDLS Code Review | 1:14:49 | 825 | Review |
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2019-03-01 | [DDQN] Deep Reinforcement Learning with Double Q-learning | TDLS Foundational | 1:27:42 | 5,863 | |
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2019-02-26 | [AlphaGo Zero] Mastering the game of Go without human knowledge | TDLS | 1:17:39 | 6,062 | Let's Play |
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2019-02-22 | Transformer XL | AISC Trending Papers | 1:35:02 | 5,857 | |
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2019-02-20 | Computational prediction of diagnosis & feature selection on mesothelioma patient records | AISC | 1:33:18 | 428 | |
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2019-02-18 | Support Vector Machine (original paper) | AISC Foundational | 1:10:53 | 405 | |
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2019-02-12 | Tensor Field Networks | AISC | 1:57:10 | 1,944 | |
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2019-02-08 | ACAI: Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer | 1:20:31 | 1,502 | |
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2019-02-05 | Code Review: Transformer - Attention Is All You Need | AISC | 1:44:14 | 11,527 | Review |
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2019-02-04 | [StyleGAN] A Style-Based Generator Architecture for GANs, part2 (results and discussion) | TDLS | 44:03 | 3,316 | Discussion |
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2019-02-04 | [StyleGAN] A Style-Based Generator Architecture for GANs, part 1 (algorithm review) | TDLS | 59:37 | 13,739 | Review |
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2019-02-04 | TDLS: Learning Functional Causal Models with GANs - part 1 (algorithm review) | 45:24 | 1,253 | Review |
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2019-02-04 | TDLS: Learning Functional Causal Models with GANs - part 2 (results and discussion) | 32:30 | 280 | Discussion |
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2019-02-04 | Neural Ordinary Differential Equations - part 1 (algorithm review) | AISC | 24:35 | 10,162 | Review |
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2019-02-04 | Neural Ordinary Differential Equations - part 2 (results & discussion) | AISC | 42:05 | 2,934 | Discussion |
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2019-02-04 | Parallel Collaborative Filtering for the Netflix Prize (algorithm review) | AISC Foundational | 25:01 | 1,090 | Review |
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2019-02-04 | Parallel Collaborative Filtering for the Netflix Prize (results & discussion) AISC Foundational | 16:47 | 239 | Discussion |
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2019-01-15 | TDLS - Announcing Fast Track Stream | 0:57 | 286 | |
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2019-01-09 | Extracting Biologically Relevant Latent Space from Cancer Transcriptomes \w VAEs(discussions) I AISC | 42:18 | 206 | Discussion |
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2019-01-09 | Extracting Biologically Relevant Latent Space from Cancer Transcriptomes \w VAEs (algorithm) | AISC | 15:45 | 324 | Vlog |
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2019-01-09 | [original backprop paper] Learning representations by back-propagating errors (part1) | AISC | 28:25 | 1,071 | |
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2019-01-09 | [original backprop paper] Learning representations by back-propagating errors (part2) | AISC | 15:38 | 296 | |
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2018-12-17 | Automated Deep Learning: Joint Neural Architecture and Hyperparameter Search (discussions) | AISC | 36:42 | 384 | Discussion |
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2018-12-17 | Automated Deep Learning: Joint Neural Architecture and Hyperparameter Search (algorithm) | AISC | 35:53 | 767 | |
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2018-12-10 | Automated Vulnerability Detection in Source Code Using Deep Learning (discussions) | AISC | 21:29 | 732 | Discussion |
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2018-12-10 | Automated Vulnerability Detection in Source Code Using Deep Learning (algorithm) | AISC | 1:08:46 | 3,093 | |
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2018-12-06 | [DQN] Human-level control through deep reinforcement learning (discussions) | AISC Foundational | 27:31 | 662 | Discussion |
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2018-12-06 | Deep Q-Learning paper explained: Human-level control through deep reinforcement learning (algorithm) | 1:24:30 | 3,965 | |
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2018-12-03 | SMOTE, Synthetic Minority Over-sampling Technique (discussions) | AISC Foundational | 28:28 | 872 | Discussion |
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2018-12-03 | TDLS - Classics: SMOTE, Synthetic Minority Over-sampling Technique (algorithm) | 1:02:09 | 3,472 | |
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2018-11-30 | Visualizing Data using t-SNE (algorithm) | AISC Foundational | 58:33 | 2,516 | |
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2018-11-30 | Visualizing Data using t-SNE (discussions) | AISC Foundational | 23:15 | 300 | Discussion |
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2018-11-28 | [BERT] Pretranied Deep Bidirectional Transformers for Language Understanding (discussions) | TDLS | 37:20 | 3,251 | Discussion |
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2018-11-28 | [BERT] Pretranied Deep Bidirectional Transformers for Language Understanding (algorithm) | TDLS | 53:07 | 83,060 | |
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2018-11-28 | Neural Image Caption Generation with Visual Attention (algorithm) | AISC | 58:21 | 5,591 | |
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2018-11-28 | Neural Image Caption Generation with Visual Attention (discussion) | AISC | 18:38 | 996 | Discussion |
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2018-11-17 | PGGAN | Progressive Growing of GANs for Improved Quality, Stability, and Variation (part 2) | AISC | 22:47 | 1,371 | |
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2018-11-17 | PGGAN | Progressive Growing of GANs for Improved Quality, Stability, and Variation (part 1) | AISC | 1:02:01 | 5,937 | |
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2018-11-16 | (Original Paper) Latent Dirichlet Allocation (discussions) | AISC Foundational | 32:41 | 572 | Discussion |
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2018-11-16 | (Original Paper) Latent Dirichlet Allocation (algorithm) | AISC Foundational | 43:11 | 15,506 | |
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2018-11-01 | [Transformer] Attention Is All You Need | AISC Foundational | 54:13 | 31,552 | |
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2018-10-25 | [Original attention] Neural Machine Translation by Jointly Learning to Align and Translate | AISC | 1:28:14 | 5,993 | |
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2018-10-16 | [StackGAN++] Realistic Image Synthesis with Stacked Generative Adversarial Networks | AISC | 1:17:55 | 4,782 | |
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