Algorithms & Theory
- Algorithms & Theory
- Climate & Sustainability
- Conferences & Events
- Data Management
- Data Mining & Modeling
- Distributed Systems & Parallel Computing
- Economics & Electronic Commerce
- Education Innovation
- General Science
- Generative AI
- Global
- Hardware & Architecture
- Health & Bioscience
- Human-Computer Interaction and Visualization
- Machine Intelligence
- Machine Perception
- Machine Translation
- Mobile Systems
- Natural Language Processing
- Networking
- Open Source Models & Datasets
- Photography
- Product
- Programs
- Quantum
- RAI-HCT Highlights
- Responsible AI
- Robotics
- Security, Privacy and Abuse Prevention
- Software Systems & Engineering
- Sound & Accoustics
- Speech Processing
- Year in Review
-
March 28, 2024
AutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks- Algorithms & Theory ·
- Machine Intelligence ·
- Open Source Models & Datasets
-
March 12, 2024
Talk like a graph: Encoding graphs for large language models- Algorithms & Theory ·
- Generative AI ·
- Machine Intelligence
-
February 6, 2024
Graph neural networks in TensorFlow- Algorithms & Theory ·
- Machine Intelligence ·
- Product
-
January 26, 2024
Mixed-input matrix multiplication performance optimizations- Algorithms & Theory ·
- Machine Intelligence
-
January 23, 2024
Exphormer: Scaling transformers for graph-structured data- Algorithms & Theory ·
- Machine Intelligence
-
December 19, 2023
Simulations illuminate the path to post-event traffic flow- Algorithms & Theory ·
- Product
-
December 8, 2023
Sparsity-preserving differentially private training- Algorithms & Theory ·
- Machine Intelligence ·
- Security, Privacy and Abuse Prevention
-
December 4, 2023
Summary report optimization in the Privacy Sandbox Attribution Reporting API- Algorithms & Theory ·
- Economics & Electronic Commerce ·
- Security, Privacy and Abuse Prevention
-
November 3, 2023
Best of both worlds: Achieving scalability and quality in text clustering- Algorithms & Theory ·
- Conferences & Events ·
- Generative AI
-
September 28, 2023
Re-weighted gradient descent via distributionally robust optimization- Algorithms & Theory ·
- Machine Intelligence
-
September 7, 2023
A novel computational fluid dynamics framework for turbulent flow research- Algorithms & Theory ·
- Distributed Systems & Parallel Computing ·
- Machine Intelligence
-
August 17, 2023
Neural network pruning with combinatorial optimization- Algorithms & Theory ·
- Machine Intelligence