Philosophy
1개 벤치마크 · 논문 755편 · 이 태스크의 논문 보기 →
Benchmarks
BIG-bench
Most implemented
Gradient Harmonized Single-stage Detector
Analyzing and Improving the Training Dynamics of Diffusion Models
Pylearn2: a machine learning research library
PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series
VanillaNet: the Power of Minimalism in Deep Learning
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks
Papers
Streaming 4D Visual Geometry Transformer
Perceiving and reconstructing 4D spatial-temporal geometry from videos is a fundamental yet challenging computer vision task. To facilitate interactive and real-time applications, we propose a streaming 4D visual geometr…
4D reconstructionPhilosophyAI-Reporter: A Path to a New Genre of Scientific Communication
The AI-Reporter represents a paradigmatic shift in scientific publication practice. This document demonstrates through a concrete case study how our system transforms academic presentations into publication-ready chapter…
PhilosophySociologyWhat Is the Point of Equality in Machine Learning Fairness? Beyond Equality of Opportunity
Fairness in machine learning (ML) has become a rapidly growing area of research. But why, in the first place, is unfairness in ML morally wrong? And why should we care about improving fairness? Most fair-ML research impl…
FairnessPhilosophyLow-code to fight climate change: the Climaborough project
The EU-funded Climaborough project supports European cities to achieve carbon neutrality by 2030. Eleven cities in nine countries will deploy in real conditions products and services fostering climate transition in their…
PhilosophyCauses in neuron diagrams, and testing causal reasoning in Large Language Models. A glimpse of the future of philosophy?
We propose a test for abstract causal reasoning in AI, based on scholarship in the philosophy of causation, in particular on the neuron diagrams popularized by D. Lewis. We illustrate the test on advanced Large Language …
PhilosophySimple is what you need for efficient and accurate medical image segmentation
While modern segmentation models often prioritize performance over practicality, we advocate a design philosophy prioritizing simplicity and efficiency, and attempted high performance segmentation model design. This pape…
feature selectionImage SegmentationMedical Image SegmentationModel Compression+3