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Found 3 papers, 2 papers with code
Stitching Sub-Trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL
In this paper, we propose SSD (Sub-trajectory Stitching with Diffusion), a model-based offline GCRL method that leverages the conditional diffusion model to address these limitations.
Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Time
In this paper, we study the optimality gap between two-layer ReLU networks regularized with weight decay and their convex relaxations.
Isotropic Representation Can Improve Dense Retrieval
In particular, many of the high-performing dense retrieval models evaluate representations of query and document using BERT, and subsequently apply a cosine-similarity based scoring to determine the relevance.
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