time-series-3

Intelligent Communication

3260 papers • 126 benchmarks • 313 datasets

Intelligently decide (i) the content of data to be shared/communicated and (ii) the direction in which the chosen data is transmitted.

(Image credit: Papersgraph)

Benchmarks

These leaderboards are used to track progress in intelligent-communication-3

Trend

Dataset

Best Model

Actions

No benchmarks available.

Libraries

Use these libraries to find intelligent-communication-3 models and implementations

Datasets

Subtasks

Semantic Communication Beam Prediction

Most implemented papers

Scaling Language Models: Methods, Analysis & Insights from Training Gopher

A. Mensch, Katie Millican, Roman Ring, Eliza Rutherford, Jacob Menick, Sebastian Borgeaud, Aida Nematzadeh, O. Vinyals, K. Simonyan, Yujia Li, Igor Babuschkin, Po-Sen Huang, Johannes Welbl, K. Kavukcuoglu, D. Hassabis, James Bradbury, Chris Dyer, L. Sifre, George van den Driessche, Erich Elsen, D. Budden, G. Irving, Laura Weidinger, Maribeth Rauh, Iason Gabriel, William S. Isaac, Saffron Huang, Lisa Anne Hendricks, I. Higgins, Diego de Las Casas, Jack W. Rae, Siddhant M. Jayakumar, Xiang Lorraine Li, Francis Song, Cyprien de Masson d'Autume, Amy Wu, Angeliki Lazaridou, A. Kuncoro, Michela Paganini, Trevor Cai, Jordan Hoffmann, John Aslanides, Sarah Henderson, Susannah Young, Tom Hennigan, Albin Cassirer, Richard Powell, Amelia Glaese, Sumanth Dathathri, Jonathan Uesato, John F. J. Mellor, Antonia Creswell, Nat McAleese, Elena Buchatskaya, Esme Sutherland, Lena Martens, E. Gribovskaya, Domenic Donato, Jean-Baptiste Lespiau, M. Tsimpoukelli, N. Grigorev, Doug Fritz, Thibault Sottiaux, Mantas Pajarskas, Tobias Pohlen, Z. Gong, Daniel Toyama, Tayfun Terzi, Vladimir Mikulik, Aidan Clark, Aurelia Guy, Chris Jones, Matthew G. Johnson, Blake A. Hechtman, Edward Lockhart, Simon Osindero, Laura Rimell, Kareem W. Ayoub, J. Stanway, L. Bennett

Content

Intelligent Communication | State-of-the-Art

Intelligent Communication

Benchmarks

Libraries

Datasets

Subtasks

Most implemented papers

Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Content

A Generic Multi-modal Dynamic Gesture Recognition System using Machine Learning

An Efficient Deep Learning Model for Automatic Modulation Recognition Based on Parameter Estimation and Transformation

Deep Reinforcement Learning for Time Allocation and Directional Transmission in Joint Radar-Communication

Synthetic Traffic Generation with Wasserstein Generative Adversarial Networks

Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications

EMC2-Net: Joint Equalization and Modulation Classification Based on Constellation Network