Tag: causal machine learning
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Sim-and-Real Co-Training for Generative Robot Policies
Explore sim-and-real co-training mechanisms that improve generative robot policies using structured alignment and action reweighting techniques.
UHR-BAT: Efficient Token Compression for Ultra-High-Resolution Remote Sensing
Discover UHR-BAT, a budget-aware token compression model enhancing ultra-high-resolution remote sensing with efficient, accurate vision-language processing...
Boost Unified Multimodal Models with UniRect-CoT Method
Enhance generation in Unified Multimodal Models using UniRect-CoT, a reflective rectification framework inspired by human cognition for better AI outputs.
Self-Supervised & Predictive Representation Learning Guide
Explore self-supervised learning and predictive representation techniques to enhance AI models with robust, predictive capabilities from unlabeled data.
Optimizing SFT-GRPO Data Overlap for Autoformalization
Discover how controlling SFT-GRPO data overlap boosts autoformalization accuracy and model performance in post-training AI optimization.