Shows

Advancing NLP with Project Debater w/ Noam Slonim

Bringing AI Up to Speed with Autonomous Racing w/ Madhur Behl

AI and Society: Past, Present and Future with Eric Horvitz

Agile Applied AI Research with Parvez Ahammad

Haptic Intelligence with Katherine J. Kuchenbecker

Data Science on AWS with Chris Fregly and Antje Barth

Accelerating Distributed AI Applications at Qualcomm with Ziad Asghar

Buy AND Build for Production Machine Learning with Nir Bar-Lev

Applied AI Research at AWS with Alex Smola

Causal Models in Practice at Lyft with Sean Taylor

Using AI to Map the Human Immune System with Jabran Zahid

Learning Long-Time Dependencies with RNNs w/ Konstantin Rusch

What the Human Brain Can Tell Us About NLP Models with Allyson Ettinger

Probabilistic Numeric CNNs with Roberto Bondesan

Building a Unified NLP Framework at LinkedIn with Huiji Gao

Dask + Data Science Careers with Jacqueline Nolis

Machine Learning for Equitable Healthcare Outcomes with Irene Chen

AI Storytelling Systems with Mark Riedl

Creating Robust Language Representations with Jamie Macbeth

Reinforcement Learning for Industrial AI with Pieter Abbeel

AutoML for Natural Language Processing with Abhishek Thakur

Inclusive Design for Seeing AI with Saqib Shaikh

Theory of Computation with Jelani Nelson

Human-Centered ML for High-Risk Behaviors with Stevie Chancellor

TWIMLcon Sponsor Series

Can Language Models Be Too Big? 🦜with Emily Bender and Margaret Mitchell

Applying RL to Real-World Robotics with Abhishek Gupta

Accelerating Innovation with AI at Scale with David Carmona

Complexity and Intelligence with Melanie Mitchell

Robust Visual Reasoning with Adriana Kovashka

Nishan Subedi, VP of Algorithms at Overstock.com.

Architectural and Organizational Patterns in Machine Learning with Nishan Subedi

Common Sense Reasoning in NLP with Vered Shwartz

How to Be Human in the Age of AI with Ayanna Howard

Evolution and Intelligence with Penousal Machado

Innovating Neural Machine Translation with Arul Menezes

Building the Product Knowledge Graph at Amazon with Luna Dong

Towards a Systems-Level Approach to Fair ML with Sarah M. Brown

AI for Digital Health Innovation with Andrew Trister

System Design for Autonomous Vehicles with Drago Anguelov

Building, Adopting, and Maturing LinkedIn’s Machine Learning Platform with Ya Xu

Expressive Deep Learning with Magenta DDSP w/ Jesse Engel

Semantic Folding for Natural Language Understanding with Francisco Webber

The Future of Autonomous Systems with Gurdeep Pall

AI for Ecology and Ecosystem Preservation with Bryan Carstens

Off-Line, Off-Policy RL for Real-World Decision Making at Facebook

A Future of Work for the Invisible Workers in A.I. with Saiph Savage

Trends in Graph Machine Learning with Michael Bronstein

Trends in Natural Language Processing with Sameer Singh

Trends in Computer Vision with Pavan Turaga

Trends in Reinforcement Learning with Pablo Samuel Castro

MOReL: Model-Based Offline Reinforcement Learning with Aravind Rajeswaran

Machine Learning as a Software Engineering Enterprise with Charles Isbell

Natural Graph Networks with Taco Cohen

Productionizing Time-Series Workloads at Siemens Energy with Edgar Bahilo Rodriguez

ML Feature Store at Intuit with Srivathsan Canchi

re:Invent Roundup 2020 with Swami Sivasubramanian

Predictive Disease Risk Modeling at 23andMe with Subarna Sinha

Scaling Video AI at RTL with Daan Odijk

Benchmarking ML with MLCommons w/ Peter Mattson

Deep Learning for NLP: From the Trenches with Charlene Chambliss

Feature Stores for Accelerating AI Development

An Exploration of Coded Bias with Shalini Kantayya, Deb Raji and Meredith Broussard

Common Sense as an Algorithmic Framework with Dileep George

Scaling Enterprise ML in 2020: Still Hard! with Sushil Thomas

Enabling Clinical Automation: From Research to Deployment with Devin Singh

Pixels to Concepts with Backpropagation w/ Roland Memisevic

Fighting Global Health Disparities with AI w/ Jon Wang

Episode Cover: Accessibility and Computer Vision

Accessibility and Computer Vision

NLP for Equity Investing with Frank Zhao

The Future of Education and AI with Sal Khan

Why AI Innovation and Social Impact Go Hand in Hand with Milind Tambe

What’s Next for Fast.ai? w/ Jeremy Howard

Feature Stores for MLOps with Mike del Balso

Exploring Causality and Community with Suzana Ilić

Decolonizing AI with Shakir Mohamed

Spatial Analysis for Real-Time Video Processing with Adina Trufinescu

Episode Cover: How Deep Learning has Revolutionized OCR with Cha Zhang

How Deep Learning has Revolutionized OCR with Cha Zhang

Machine Learning for Food Delivery at Global Scale

Open Source at Qualcomm AI Research with Jeff Gehlhaar and Zahra Koochak

Visualizing Climate Impact with GANs w/ Sasha Luccioni

ML-Powered Language Learning at Duolingo

ML-Powered Language Learning at Duolingo with Burr Settles

Bridging The Gap Between Machine Learning and the Life Sciences with Artur Yakimovich

Understanding Cultural Style Trends with Computer Vision w/ Kavita Bala

That’s a VIBE: ML for Human Pose and Shape Estimation with Nikos Athanasiou, Muhammed Kocabas, Michael Black

3D Deep Learning with PyTorch 3D w/ Georgia Gkioxari

What are the Implications of Algorithmic Thinking? with Michael I. Jordan

Beyond Accuracy: Behavioral Testing of NLP Models with Sameer Singh

How Machine Learning Powers On-Demand Logistics at Doordash with Gary Ren

Machine Learning as a Software Engineering Discipline with Dillon Erb

AI and the Responsible Data Economy with Dawn Song

Relational, Object-Centric Agents for Completing Simulated Household Tasks with Wilka Carvalho

Model Explainability Forum

What NLP Tells Us About COVID-19 and Mental Health with Johannes Eichstaedt

Human-AI Collaboration for Creativity with Devi Parikh

Neural Augmentation for Wireless Communication with Max Welling

Quantum Machine Learning: The Next Frontier? with Iordanis Kerenidis

ML and Epidemiology with Elaine Nsoesie

Language (Technology) Is Power: Exploring the Inherent Complexity of NLP Systems with Hal Daumé III

Graph ML Research at Twitter with Michael Bronstein

Panel: The Great ML Language (Un)Debate!

What the Data Tells Us About COVID-19 with Eric Topol

The Case for Hardware-ML Model Co-design with Diana Marculescu

Computer Vision for Remote AR with Flora Tasse

Deep Learning for Automatic Basketball Video Production with Julian Quiroga

How External Auditing is Changing the Facial Recognition Landscape with Deb Raji

AI for High-Stakes Decision Making with Hima Lakkaraju

Invariance, Geometry and Deep Neural Networks with Pavan Turaga

Channel Gating for Cheaper and More Accurate Neural Nets with Babak Ehteshami Bejnordi

Machine Learning Commerce at Square with Marsal Gavalda

Cell Exploration with ML at the Allen Institute w/ Jianxu Chen

Neural Arithmetic Units & Experiences as an Independent ML Researcher with Andreas Madsen

2020: A Critical Inflection Point for Responsible AI with Rumman Chowdhury

Panel: Advancing Your Data Science Career During the Pandemic

Engineering a Less Artificial Intelligence with Andreas Tolias

Rethinking Model Size: Train Large, Then Compress with Joseph Gonzalez

The Physics of Data with Alpha Lee

Is Linguistics Missing from NLP Research? w/ Emily M. Bender

Disrupting DeepFakes: Adversarial Attacks Against Conditional Image Translation Networks with Nataniel Ruiz

Understanding the COVID-19 Data Quality Problem with Sherri Rose

The Whys and Hows of Managing Machine Learning Artifacts with Lukas Biewald

Language Modeling and Protein Generation at Salesforce with Richard Socher

AI Research at JPMorgan Chase with Manuela Veloso

Panel: Responsible Data Science in the Fight Against COVID-19

Adversarial Examples Are Not Bugs, They Are Features with Aleksander Madry

AI for Social Good: Why “Good” isn’t Enough with Ben Green

The Evolution of Evolutionary AI with Risto Miikkulainen

Neural Architecture Search and Google’s New AutoML Zero with Quoc Le

Automating Electronic Circuit Design with Deep RL w/ Karim Beguir

Neural Ordinary Differential Equations with David Duvenaud

The Measure and Mismeasure of Fairness with Sharad Goel

Simulating the Future of Traffic with RL w/ Cathy Wu

Consciousness and COVID-19 with Yoshua Bengio

Geometry-Aware Neural Rendering with Josh Tobin

The Third Wave of Robotic Learning with Ken Goldberg

Learning Visiolinguistic Representations with ViLBERT w/ Stefan Lee

Upside-Down Reinforcement Learning with Jürgen Schmidhuber

SLIDE: Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning with Beidi Chen

Advances in Reinforcement Learning with Sergey Levine

Secrets of a Kaggle Grandmaster with David Odaibo

NLP for Mapping Physics Research with Matteo Chinazzi

Metric Elicitation and Robust Distributed Learning with Sanmi Koyejo

High-Dimensional Robust Statistics with Ilias Diakonikolas

How AI Predicted the Coronavirus Outbreak with Kamran Khan

Turning Ideas into ML Powered Products with Emmanuel Ameisen

Algorithmic Injustices and Relational Ethics with Abeba Birhane

AI for Agriculture and Global Food Security with Nemo Semret

Practical Differential Privacy at LinkedIn with Ryan Rogers

Networking Optimizations for Multi-Node Deep Learning on Kubernetes with Erez Cohen

Managing Research Needs at the University of Michigan using Kubernetes with Bob Killen

Scalable and Maintainable Workflows at Lyft with Flyte w/ Haytham AbuelFutuh and Ketan Umare

Causality 101 with Robert Osazuwa Ness

PaccMannRL: Designing Anticancer Drugs with Reinforcement Learning w/ Jannis Born

Social Intelligence with Blaise Aguera y Arcas

Music & AI Plus A Geometric Perspective on Reinforcement Learning

Trends in Computer Vision with Amir Zamir

Trends in Natural Language Processing with Nasrin Mostafazadeh

Trends in Fairness and AI Ethics with Timnit Gebru

Trends in Reinforcement Learning with Chelsea Finn

Trends in Machine Learning & Deep Learning with Zack Lipton

FaciesNet & Machine Learning Applications in Energy with Mohamed Sidahmed

Machine Learning: A New Approach to Drug Discovery with Daphne Koller

Sensory Prediction Error Signals in the Neocortex with Blake Richards

How to Know with Celeste Kidd

Using Deep Learning to Predict Wildfires with Feng Yan

Advancing Machine Learning at Capital One with Dave Castillo

Helping Fish Farmers Feed the World with Deep Learning w/ Bryton Shang

Metaflow, a Human-Centric Framework for Data Science with Ville Tuulos

Single Headed Attention RNN: Stop Thinking With Your Head with Stephen Merity

Automated Model Tuning with SigOpt – Democast #2

Automated Machine Learning with Erez Barak

Responsible AI in Practice with Sarah Bird

Enterprise Readiness, MLOps and Lifecycle Management with Jordan Edwards

DevOps for ML with Dotscience – Democast #1

Building an Autonomous Knowledge Graph with Mike Tung

The Next Generation of Self-Driving Engineers with Aaron Ma

Spiking Neural Networks: A Primer with Terrence Sejnowski

Bridging the Patient-Physician Gap with ML and Expert Systems w/ Xavier Amatriain

What Does it Mean for a Machine to “Understand”? with Thomas Dietterich

Scaling TensorFlow at LinkedIn with Jonathan Hung

Machine Learning at GitHub with Omoju Miller

Using AI to Diagnose and Treat Neurological Disorders with Archana Venkataraman

Deep Learning for Earthquake Aftershock Patterns with Phoebe DeVries & Brendan Meade

Live from TWIMLcon! Operationalizing Responsible AI

Live from TWIMLcon! Scaling ML in the Traditional Enterprise

Live from TWIMLcon! Culture & Organization for Effective ML at Scale

Live from TWIMLcon! Use-Case Driven ML Platforms with Franziska Bell

Live from TWIMLcon! Operationalizing ML at Scale with Hussein Mehanna

Live from TWIMLcon! Encoding Company Culture in Applied AI Systems

Live from TWIMLcon! Overcoming the Barriers to Deep Learning in Production with Andrew Ng

The Future of Mixed-Autonomy Traffic with Alexandre Bayen

Deep Reinforcement Learning for Logistics at Instadeep with Karim Beguir

Deep Learning with Structured Data w/ Mark Ryan

Time Series Clustering for Monitoring Fueling Infrastructure Performance with Kalai Ramea

Swarm AI for Event Outcome Prediction with Gregg Willcox

Rebooting AI: What’s Missing, What’s Next with Gary Marcus

DeepQB: Deep Learning to Quantify Quarterback Decision-Making with Brian Burke

Measuring Performance Under Pressure Using ML with Lotte Bransen

Managing Deep Learning Experiments with Lukas Biewald

Re-Architecting Data Science at iRobot with Angela Bassa

Disentangled Representations & Google Research Football with Olivier Bachem

Neural Network Quantization and Compression with Tijmen Blankevoort

Identifying New Materials with NLP with Anubhav Jain

The Problem with Black Boxes with Cynthia Rudin

Human-Robot Interaction and Empathy with Kate Darling

Automated ML for RNA Design with Danny Stoll

Developing a Brain Atlas Using Deep Learning with Theofanis Karayannis

Environmental Impact of Large-Scale NLP Model Training with Emma Strubell

“Fairwashing” and the Folly of ML Solutionism with Zachary Lipton

Retinal Image Generation for Disease Discovery with Stephen Odaibo

Real World Model Explainability with Rayid Ghani

Inspiring New Machine Learning Platforms with Bioelectric Computation with Michael Levin

Simulation and Synthetic Data for Computer Vision with Batu Arisoy

Spiking Neural Nets and ML as a Systems Challenge with Jeff Gehlhaar

Transforming Oil & Gas with AI with Adi Bhashyam and Daniel Jeavons

Fast Radio Burst Pulse Detection with Gerry Zhang

Tracking CO2 Emissions with Machine Learning with Laurence Watson

Topic Modeling for Customer Insight at USAA with William Fehlman

Phronesis of AI in Radiology with Judy Gichoya

The Ethics of AI-Enabled Surveillance with Karen Levy

Supporting Rapid Model Development at Two Sigma with Matt Adereth & Scott Clark

Scaling Model Training with Kubernetes at Stripe with Kelley Rivoire

Productizing ML at Scale at Twitter with Yi Zhuang

Snorkel: A System for Fast Training Data Creation with Alex Ratner

Advancing Autonomous Vehicle Development Using Distributed Deep Learning with Adrien Gaidon

Are We Being Honest About How Difficult AI Really Is? with David Ferrucci

Gauge Equivariant CNNs, Generative Models, and the Future of AI with Max Welling

Can We Trust Scientific Discoveries Made Using Machine Learning? with Genevera Allen

Creative Adversarial Networks for Art Generation with Ahmed Elgammal

Diagnostic Visualization for Machine Learning with YellowBrick w/ Rebecca Bilbro

Librosa: Audio and Music Processing in Python with Brian McFee

Practical Natural Language Processing with spaCy and Prodigy w/ Ines Montani

Scaling Jupyter Notebooks with Luciano Resende

Fighting Fake News and Deep Fakes with Machine Learning w/ Delip Rao

Maintaining Human Control of Artificial Intelligence with Joanna Bryson

Intelligent Infrastructure Management with Pankaj Goyal & Rochna Dhand

Organizing for Successful Data Science at Stitch Fix with Eric Colson

End-to-End Data Science to Drive Business Decisions at LinkedIn with Burcu Baran

Learning with Limited Labeled Data with Shioulin Sam

cuDF, cuML & RAPIDS: GPU Accelerated Data Science with Paul Mahler

Edge AI for Smart Manufacturing with Trista Chen

Machine Learning for Security and Security for Machine Learning with Nicole Nichols

Domain Adaptation and Generative Models for Single Cell Genomics with Gerald Quon

Mapping Dark Matter with Bayesian Neural Networks w/ Yashar Hezaveh

Deep Learning for Population Genetic Inference with Dan Schrider

Empathy in AI with Rob Walker

Benchmarking Custom Computer Vision Services at Urban Outfitters with Tom Szumowski

A Quantum Machine Learning Algorithm Takedown with Ewin Tang

Pragmatic Quantum Machine Learning with Peter Wittek

Supporting TensorFlow at Airbnb with Alfredo Luque

Mining the Vatican Secret Archives with TensorFlow w/ Elena Nieddu

Exploring TensorFlow 2.0 with Paige Bailey

Privacy-Preserving Decentralized Data Science with Andrew Trask

The Unreasonable Effectiveness of the Forget Gate with Jos Van Der Westhuizen

Building a Recommendation Agent for The North Face with Andrew Guldman

Active Learning for Materials Design with Kevin Tran

Deep Learning in Optics with Aydogan Ozcan

Scaling Machine Learning on Graphs at LinkedIn with Hema Raghavan and Scott Meyer

Safer Exploration in Deep Reinforcement Learning using Action Priors with Sicelukwanda Zwane

Human-Centered Design with Mira Lane

Fairness in Machine Learning with Hanna Wallach

AI in Healthcare with Peter Lee

An Optimized Recurrent Unit for Ultra-Low Power Acoustic Event Detection with Justice Amoh

Pathologies of Neural Models and Interpretability with Alvin Grissom II

AI for Earth with Lucas Joppa

AI for Accessibility with Wendy Chisholm

AI for Humanitarian Action with Justin Spelhaug

Teaching AI to Preschoolers with Randi Williams

Holistic Optimization of the LinkedIn Newsfeed with Tim Jurka

AI at the Edge at Qualcomm with Gary Brotman

AI Innovation at CES – Video Exclusive!!

Self-Tuning Services via Real-Time Machine Learning with Vladimir Bychkovsky

Building a Recommender System from Scratch at 20th Century Fox with JJ Espinoza

Legal and Policy Implications of Model Interpretability with Solon Barocas

Trends in Computer Vision with Siddha Ganju

Trends in Reinforcement Learning with Simon Osindero

Trends in Natural Language Processing with Sebastian Ruder

Trends in Machine Learning with Anima Anandkumar

Trends in Deep Learning with Jeremy Howard

Training Large-Scale Deep Nets with RL with Nando de Freitas

Making Algorithms Trustworthy with David Spiegelhalter

Designing Computer Systems for Software with Kunle Olukotun

Operationalizing Ethical AI with Kathryn Hume

Approaches to Fairness in Machine Learning with Richard Zemel

Trust and AI with Parinaz Sobhani

Unbiased Learning from Biased User Feedback with Thorsten Joachims

Language Parsing and Character Mining with Jinho Choi

re:Invent Roundup Roundtable 2018 with Dave McCrory and Val Bercovici

Knowledge Graphs and Expert Augmentation with Marisa Boston

ML/DL for Non-Stationary Time Series Analysis in Financial Markets and Beyond with Stuart Reid

Industrializing Machine Learning at Shell with Daniel Jeavons

Resurrecting a Recommendations Platform at Comcast with Leemay Nassery

Productive Machine Learning at LinkedIn with Bee-Chung Chen

Scaling Deep Learning on Kubernetes at OpenAI with Christopher Berner

Bighead: Airbnb’s Machine Learning Platform with Atul Kale

Facebook’s FBLearner Platform with Aditya Kalro

Geometric Statistics in Machine Learning with geomstats w/ Nina Miolane

Milestones in Neural Natural Language Processing with Sebastian Ruder

Natural Language Processing at StockTwits with Garrett Hoffman

Advanced Reinforcement Learning & Data Science for Social Impact with Vukosi Marivate

AI Ethics, Strategic Decisioning and Game Theory with Osonde Osoba

Acoustic Word Embeddings for Low Resource Speech Processing with Herman Kamper

Learning Representations for Visual Search with Naila Murray

Evaluating Model Explainability Methods with Sara Hooker

Graph Analytic Systems with Zachary Hanif

Diversification in Recommender Systems with Ahsan Ashraf

The Fastai v1 Deep Learning Framework with Jeremy Howard

Federated ML for Edge Applications with Justin Norman

Exploring Dark Energy & Star Formation with ML w/ Viviana Acquaviva

Document Vectors in the Wild with James Dreiss

Applied Machine Learning for Publishers with Naveed Ahmad

Anticipating Superintelligence with Nick Bostrom

Can We Train an AI to Understand Body Language? with Hanbyul Joo

Biological Particle Identification and Tracking with Jay Newby

AI for Content Creation with Debajyoti Ray

Deep Reinforcement Learning Primer and Research Frontiers with Kamyar Azizzadenesheli

OpenAI Five with Christy Dennison

How ML Keeps Shelves Stocked at Home Depot with Pat Woowong

Contextual Modeling for Language and Vision with Nasrin Mostafazadeh

ML for Understanding Satellite Imagery at Scale with Kyle Story

Generating Ground-Level Images From Overhead Imagery Using GANs with Yi Zhu

Vision Systems for Planetary Landers and Drones with Larry Matthies

Learning Semantically Meaningful and Actionable Representations with Ashutosh Saxena

AI Innovation for Clinical Decision Support with Joe Connor

Dynamic Visual Localization and Segmentation with Laura Leal-Taixé

Conversational AI for the Intelligent Workplace with Gillian McCann

Computer Vision and Intelligent Agents for Wildlife Conservation with Jason Holmberg

Pragmatic Deep Learning for Medical Imagery with Prashant Warier

Taskonomy: Disentangling Transfer Learning for Perception (CVPR 2018 Best Paper Winner) with Amir Zamir

Predicting Metabolic Pathway Dynamics with Machine Learning w/ Zak Costello

Machine Learning to Discover Physics and Engineering Principles with Nathan Kutz

Automating Complex Internal Processes with AI w/ Alexander Chukovski

Designing Better Sequence Models with RNNs with Adji Bousso Dieng

Love Love: AI and ML in Tennis with Stephanie Kovalchik

Growth Hacking Sports with Machine Learning w/ Noah Gift

Fine-Grained Player Prediction in Sports with Jennifer Hobbs

Targeted Ticket Sales Using ML for the Portland Trail Blazers w/ Mike Schumacher & Chenhui Hu

AI for Athlete Optimization with Sinead Flahive