Mojo Programming Language!#MojoLang #MojoProgramming #PythonDevelopers #AIProgramming #thuli #coding
DSDSD - Dutch Seminar on Data Systems Design
Building machine learning systems for the era of data-centric AI by Ce Zhang
Программная инженерия для машинного обучения
Антон Хританков - Задачи воспроизводимости исследований в проекте MLdev
Программная инженерия для машинного обучения
Никита Ухов - Система проведения повторяемых экспериментов MLdev
Программная инженерия для машинного обучения
MLDev Meetup - Применение MLDev в эксперименте на Google Colab
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Software Engineering for Machine Learning
Talks, lectures and reports on software development for machine learning systems and related areas
Association for Computing Machinery (ACM)
KDD 2025 - ChatPD: An LLM-driven Paper-Dataset Networking System
Association for Computing Machinery (ACM)
KDD 2025 - SGD-DyG: Self-Reliant Global Global Dependency Apprehending on Dynamic Graphs
Institute for Pure & Applied Mathematics (IPAM)
Wei Zhu - Structure-preserving machine learning and data-driven structure discovery - IPAM at UCLA
Association for Computing Machinery (ACM)
KDD 2025 - Robust Tree-based Learned Vector Index with Query-aware Repartitioning
Association for Computing Machinery (ACM)
KDD 2025 - Self-Supervised Continual Graph Learning via Adaptive Spaced Replay on Node Proxies
Association for Computing Machinery (ACM)
KDD 2025 - Bursting Filter Bubble Enhancing Serendipity Recommendations with Aligned LLM
Software Engineering for Machine Learning
Talks, lectures and reports on software development for machine learning systems and related areas
Association for Computing Machinery (ACM)
KDD 2025 - MicroAdapt: Self-Evolutionary Dynamic Modeling Algorithms
Association for Computing Machinery (ACM)
KDD 2025 - MapExplorer: New Content Generation from Low-Dimensional Visualizations
Association for Computing Machinery (ACM)
KDD 2025 - Applying Large language Model for Relevance Search in Tencent
Association for Computing Machinery (ACM)
KDD 2025 - Revisiting Clustering of Neural Bandits: Selective Reinitialization for Mitigating Loss
Association for Computing Machinery (ACM)
KDD 2025 - Efficient Bitruss Decomposition without Butterfly Enumeration
Association for Computing Machinery (ACM)
KDD 2025 - S3GA: Towards Scalable Self-Supervised Learning for Large Scale Graph Alignment
Association for Computing Machinery (ACM)
KDD 2025 - An Automatic Graph Construction Framework based on Large Language Models
Association for Computing Machinery (ACM)
KDD 2025 - M2-MFP: A Multi-Scale and Multi-Level Memory Failure Prediction Framework