Deep Learning
Evaluating Numerical Reasoning in Text-to-Image Models
Text-to-image generative models are capable of producing high-quality images that often faithfully depict concepts described using natural language.
ImageSynthesiswithaSingle(Robust)Classifier
Deep learning has revolutionized the way we tackle computer vision problems.
Unsupervised Learning of View-invariant Action Representations
Junnan Li, Yongkang Wong, Qi Zhao, Mohan Kankanhalli
Neural Information Processing Systems http://nips.cc/
Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data
When training deep neural networks, a model's generalization error is often observed to follow a power scaling law dependent both on the model size and the
Memory-oriented Decoder for Light Field Salient Object Detection
Miao Zhang, Jingjing Li, JI WEI, Yongri Piao, Huchuan Lu
Neural Information Processing Systems http://nips.cc/
Functional Adversarial Attacks
Neural Information Processing Systems http://nips.cc/
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
Time series analysis is widely used in extensive areas.