TorchJD: Training with multiple losses in PyTorch [P]
Hi everyone! I wanted to share some recent progress on TorchJD that might be useful to the machine learning community. When training models with multiple losses…
Hi everyone! I wanted to share some recent progress on TorchJD that might be useful to the machine learning community. When training models with multiple losses…
Hi r/MachineLearning, i’m Raffi, CTO at Mozilla. on Tuesday July 14 we publish our inaugural State of Open Source AI report, and i'll be here live…
Hi everyone, I recently finished my Ph.D. thesis on Differentiable Ray Tracing for Radio Propagation Modeling. Instead of just compiling my published papers, I tried to…
Hi, I was reading the openRLHF paper: https://arxiv.org/pdf/2501.03262v4 , but when I click the abstract page: https://arxiv.org/abs/2501.03262v4 , it shows "REINFORCE++". Note that https://arxiv.org/html/2501.03262v4 still shows…
The core idea in masked depth modeling is to treat the sensor's own missing regions as the masking signal rather than using random block dropout. Specular…
We're happy to release MIRA, a collaboration between General Intuition, Kyutai, and Epic Games. Mira was trained on 10k hours of synthetic Rocket League data. The…
“Maybe the real AGI was the friends we made along the way” is a sentiment that always hits me, and conferences are the places where I…
I am preprocessing a CSV dataset for multiclass classification with XGBoost. My Feature variable contain numerical and categorical values, while the target variable contain many categorical…
The idea: instead of masking random patches and hoping boundary structure emerges, the teacher predicts a dense boundary field online and the boundary-bearing tokens are forced…
I'm implementing an offline ASL recognition system on Raspberry Pi 5 using MediaPipe hand landmarks and TensorFlow Lite. The system recognizes the ASL alphabet and converts…