Asia
The Implicit Bias of Gradient Descent on Separable Multiclass Data
However, there is a noticeable gap in analysis for multiclass classification, with only a handful of results which themselves are restricted to the cross-entropy loss.
3D-Aware Visual Question Answering about Parts, Poses and Occlusions
Visual question answering ( VQA) is a challenging task that requires an in-depth understanding of vision and language, as well as multi-modal reasoning.
Multimodal Large Language Models Make Text-to-Image Generative Models Align Better Xun Wu
Preference data is crucial for aligning generative models with text prompts.
Joint Attribute and Model Generalization Learning for Privacy-Preserving Action Recognition
In this case, accurately recognizing the action requires richer contextual information from the background and surroundings.
Efficient Hyper-parameter Optimization with Cubic Regularization
As hyper-parameters are ubiquitous and can significantly affect the model performance, hyper-parameter optimization is extremely important in machine learning.
Segment Any Change
We perform extensive experiments to confirm the effectiveness of AnyChange for zero-shot change detection.
Towards Distribution-Agnostic Generalized Category Discovery
While several previous works have focused on classifying close-set samples and detecting open-set samples during testing, it's still essential to be able to classify unknown subjects as human beings.
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning
Several recent works have attempted to deal with the above issues, which concentrate on the following two aspects.
