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Found 5 papers, 4 papers with code
Generalized Gaussian Temporal Difference Error for Uncertainty-aware Reinforcement Learning
We introduce a novel framework for generalized Gaussian error modeling in deep reinforcement learning to enhance the flexibility of error distribution modeling by incorporating additional higher-order moment, particularly kurtosis, thereby improving the estimation and mitigation of data-dependent aleatoric uncertainty.
LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs
Fine-tuning pre-trained large language models (LLMs) with limited hardware presents challenges due to GPU memory constraints.
MoDiTalker: Motion-Disentangled Diffusion Model for High-Fidelity Talking Head Generation
AToM excels in capturing subtle lip movements by leveraging an audio attention mechanism.
Hybrid Video Diffusion Models with 2D Triplane and 3D Wavelet Representation
Generating high-quality videos that synthesize desired realistic content is a challenging task due to their intricate high-dimensionality and complexity of videos.
Diffusion Model for Dense Matching
The objective for establishing dense correspondence between paired images consists of two terms: a data term and a prior term.
