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Effective Robustness against Natural Distribution Shifts for Models with Different Training Data
"Effective robustness" measures the extra out-of-distribution (OOD) robustness
Contrastive Sampling Chains in Diffusion Models
The code is available at Contrastive-Sampling .
Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation Wei Dong
In this work, we propose a novel parameter-efficient adaptation method to fine-tune pre-trained ViTs.
The Behavior and Convergence of Local Bayesian Optimization
The "folk wisdom" in the literature is that the focus on local optimization sidesteps the curse of dimensionality;
Continuous Heatmap Regression for Pose Estimation via Implicit Neural Representation
Heatmap regression has dominated human pose estimation due to its superior performance and strong generalization.
ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation
This paper presents a new mechanism to facilitate the training of mask transformers for efficient panoptic segmentation, democratizing its deployment. We observe that due to the high complexity in the training objective of panoptic segmentation, it will inevitably lead to much higher penalization on false positive.
MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model
This dual approach bridges the semantic gap between visual and textual data, thereby improving the model's ability to process and interpret information from multiple images effectively.
Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning
Sutton et al., 2022], is elegantly captured using the options framework [Sutton et al., 1999].