📄 文章列表

528 篇文章
TDS

How to Mathematically Choose the Optimal Bins for Your Histogram

✅ completed ⭐ ★★★★★★ 2026-05-23
TDS

Learning From Pairwise Preferences: An Introduction to the Bradley Terry Model

✅ completed ⭐ ★★★★★★ 2026-05-27
TDS

DiffuJudge-AV: A Diffusion-Inspired Framework for Calibrated AV Video Evaluation

✅ completed ⭐ ★★★★★★ 2026-05-28
TDS

The Infrastructure Behind Making Local LLM Agents Actually Useful

✅ completed ⭐ ★★★★★★ 2026-05-28
TDS

EmoNet: Speaker-Aware Transformers for Emotion Recognition — and What I’d Build Differently in 2026

✅ completed ⭐ ★★★★★★ 2026-05-28
TDS

Why Gradient Descent Became Stochastic

✅ completed ⭐ ★★★★★★ 2026-05-29
TDS

Rerankers Aren’t Magic Either: When the Cross-Encoder Layer Is Worth the Cost

✅ completed ⭐ ★★★★★★ 2026-05-31
TDS

Solving a Murder Mystery Using Bayesian Inference

✅ completed ⭐ ★★★★★★ 2026-05-31
TDS

It’s the Lessons We Learned Along the Way. Or, Is It?

✅ completed ⭐ ★★★★★★ 2026-06-01
TDS

RAG Is Not Machine Learning, and the ML Toolkit Solves the Wrong Problem

✅ completed ⭐ ★★★★★★ 2026-06-01
TDS

I Built a C++ Backend So My GPU Would Stop Eating Air

✅ completed ⭐ ★★★★★★ 2026-06-03
TDS

The Fundamental Choice in Reinforcement Learning: On‑Policy vs. Off‑Policy

✅ completed ⭐ ★★★★★★ 2026-06-05
TDS

Picking an Experimentation Platform: A Retrospective

✅ completed ⭐ ★★★★★★ 2026-06-06
TDS

The Polynomial That Fixed 30 Years of Cloth Simulation

✅ completed ⭐ ★★★★★★ 2026-06-08
TDS

Sequential Fitting: A Different Perspective on the Spectral Bias of Neural Networks

✅ completed ⭐ ★★★★★★ 2026-06-08
TDS

How to Keep Quantum Information Alive for Machine Learning

✅ completed ⭐ ★★★★★★ 2026-06-08
TDS

Prefill Once, Fan Out: KV Snapshot Sharing for Multi-Agent LLM Pipelines

✅ completed ⭐ ★★★★★★ 2026-06-09
TDS

Bayesian Networks and Markov Networks: An Intuitive Guide to Structured Uncertainty

✅ completed ⭐ ★★★★★★ 2026-06-10
TDS

When GPU Utilization Lies: The Hidden Systems Problem Slowing Modern AI

✅ completed ⭐ ★★★★★★ 2026-06-11
TDS

A Harness for Every Task: Putting a Team of Claudes on One Job

✅ completed ⭐ ★★★★★★ 2026-06-12