Spain

ECAI 2020

Layer-wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees

gradient sparsification

distributed deep learning

synchronous sgd

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines. AAAI-23 is the Thirty-Seventh AAAI Conference on Artificial Intelligence. The theme of this conference is to create collaborative bridges within and beyond AI. Like previous AAAI conferences, AAAI-23 will feature technical paper presentations, special tracks, invited speakers, workshops, tutorials, poster sessions, senior member presentations, competitions, and exhibit programs, and two new activities: a Bridge Program and a Lab Program. Many of these activities are tailored to the theme of bridges and all are selected according to the highest standards, with additional programs for students and young researchers. 
AAAI is providing you with a conference planner, which you can use to help organize your itinerary of activities. This includes talks to attend in person, talks to attend remotely, breaks with colleagues and your site seeing activities. To access this conference planner, please go to [https://aaai-2023.takemobi.io](https://aaai-2023.takemobi.io).

In order to access this site, you need to register. If you haven't already, please register [here](https://aaai.org/Conferences/AAAI-23/registration/).


AAAI 2023

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines.

technical paper

ECAI2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI, including:




**An extensive programme of workshops, tutorials, and invited speakers**

**The Prestigious Applications of Intelligent Systems conference (PAIS)**

**The Frontiers in AI track sessions**

**The Lab To Market event**

**The Women in AI time**

**The EU Challenges forum**

… and many more!

ECAI 2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI.

Joint 3D Face Reconstruction and Dense Face Alignment via Deep Face Feature Alignment

An Approach to Fuzzy Modal Logic of Time Intervals

Distantly Supervised Question Parsing

Learning Global Pairwise Interactions with Bayesian Neural Networks

Diagnosis of Temporal Faults in Discrete-Event Systems

Parameterized Complexity of Manipulating Sequential Allocation

Belief Map Enhancement Network for Accurate Human Pose Estimation

Partial Label Learning via Generative Adversarial Nets

Neural ODEs with stochastic vector field mixtures

Logical Interpretations of Autoencoders

https://d3smihljt9218e.cloudfront.net/transcript/1026/subtitle/ef59f256d127d7a1ba0250c7ac3aa5a3.vtt

English (automatic)

Layer-wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees

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Joint 3D Face Reconstruction and Dense Face Alignment via Deep Face Feature Alignment

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Simultaneously Updating All Persistence Values in Reinforcement Learning

Layer-wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees

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Next from ECAI 2020

Joint 3D Face Reconstruction and Dense Face Alignment via Deep Face Feature Alignment

Similar lecture

Simultaneously Updating All Persistence Values in Reinforcement Learning

Downloads