📄 文章列表

370 篇文章
TDS

Data Poisoning in Machine Learning: Why and How People Manipulate Training Data

✅ completed ⭐ ★★★★★★ 2026-01-17
TDS

Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting

✅ completed ⭐ ★★★★★★ 2026-01-19
TDS

Bridging the Gap Between Research and Readability with Marco Hening Tallarico

✅ completed ⭐ ★★★★★★ 2026-01-19
TDS

How to Build a Neural Machine Translation System for a Low-Resource Language

✅ completed ⭐ ★★★★★★ 2026-01-24
TDS

How Convolutional Neural Networks Learn Musical Similarity

✅ completed ⭐ ★★★★★★ 2026-01-26
TDS

From Connections to Meaning: Why Heterogeneous Graph Transformers (HGT) Change Demand Forecasting

✅ completed ⭐ ★★★★★★ 2026-01-27
TDS

Modeling Urban Walking Risk Using Spatial-Temporal Machine Learning

✅ completed ⭐ ★★★★★★ 2026-01-28
TDS

Federated Learning, Part 2: Implementation with the Flower Framework 🌼

✅ completed ⭐ ★★★★★★ 2026-01-28
TDS

RoPE, Clearly Explained

✅ completed ⭐ ★★★★★★ 2026-01-29
TDS

On the Possibility of Small Networks for Physics-Informed Learning

✅ completed ⭐ ★★★★★★ 2026-01-30
TDS

Plan–Code–Execute: Designing Agents That Create Their Own Tools

✅ completed ⭐ ★★★★★★ 2026-02-04
TDS

Mechanistic Interpretability: Peeking Inside an LLM

✅ completed ⭐ ★★★★★★ 2026-02-05
TDS

TDS Newsletter: Vibe Coding Is Great. Until It’s Not.

✅ completed ⭐ ★★★★★★ 2026-02-05
TDS

AI in Multiple GPUs: Understanding the Host and Device Paradigm

✅ completed ⭐ ★★★★★★ 2026-02-12
TDS

How to Leverage Explainable AI for Better Business Decisions

✅ completed ⭐ ★★★★★★ 2026-02-12
TDS

AI in Multiple GPUs: Gradient Accumulation & Data Parallelism

✅ completed ⭐ ★★★★★★ 2026-02-23
TDS

A Generalizable MARL-LP Approach for Scheduling in Logistics

✅ completed ⭐ ★★★★★★ 2026-02-26
TDS

Stop Asking if a Model Is Interpretable

✅ completed ⭐ ★★★★★★ 2026-02-27
TDS

Stop Tuning Hyperparameters. Start Tuning Your Problem.

✅ completed ⭐ ★★★★★★ 2026-03-04
TDS

What Makes Quantum Machine Learning “Quantum”?

✅ completed ⭐ ★★★★★★ 2026-03-06