End-to-End Semi-Supervised Object Detection with Soft Teacher
Focal Self-attention for Local-Global Interactions in Vision Transformers
X-modaler: A Versatile and High-performance Codebase for Cross-modal Analytics
An Empirical Study of Training Self-Supervised Vision Transformers
PonderNet: Learning to Ponder
Evaluating Large Language Models Trained on Code
Epistemic Neural Networks
Enhancing Photorealism Enhancement
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization
Contextual Transformer Networks for Visual Recognition
EvilModel: Hiding Malware Inside of Neural Network Models
PyTorch distributed
Emergent Tool Use From Multi-Agent Autocurricula
Diffusion Models Beat GANs on Image Synthesis
SciPy 1.0: fundamental algorithms for scientific computing in Python
Scikit-learn: Machine Learning in Python
Brax - A Differentiable Physics Engine for Large Scale Rigid Body Simulation
Deduplicating Training Data Makes Language Models Better
Scaling Vision Transformers
Scikit-learn: Machine Learning in Python
Join Podbean Ads Marketplace and connect with engaged listeners.
Advertise Today
Create your
podcast in
minutes
It is Free
AI Deep Dive
The WAN Show
Cyber Security Headlines
Big Technology Podcast
Babbage from The Economist