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Found 6 papers, 2 papers with code
Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation
We focus on individual locally robust mesh vertex features and iteratively update them based on their proximity to corresponding features in the target domain even when the global pose is not correct.
Ranked #1 on
Unsupervised Domain Adaptation
on OOD-CV
Revisiting the Hypothesis: Do pretrained Transformers Learn In-Context by Gradient Descent?
We observe that ICL and GD have different sensitivity to the order in which they observe demonstrations.
Stress Testing Chain-of-Thought Prompting for Large Language Models
This report examines the effectiveness of Chain-of-Thought (CoT) prompting in improving the multi-step reasoning abilities of large language models (LLMs).
DECODE: Data-driven Energy Consumption Prediction leveraging Historical Data and Environmental Factors in Buildings
In summary, our research contributes to energy prediction by offering a robust LSTM model that outperforms alternative methods and operates with remarkable efficiency, generalizability, and reliability.
Repeated Environment Inference for Invariant Learning
The EI step uses a reference model which focuses on spurious correlations to efficiently reach a good environment partition.
VStegNET: Video Steganography Networkusing Spatio-Temporal features andMicro-Bottleneck
Traditional image steganography techniques hide the secret image intohigh-frequency regions of the cover images.
