Large Language Models (LLMs) have made the ambitious quest for generalis...
Foundation models are first pre-trained on vast unsupervised datasets an...
Foundation models are redefining how AI systems are built. Practitioners...
Multi-input multi-output architectures propose to train multiple subnetw...
Standard neural networks struggle to generalize under distribution shift...
Deep network architectures struggle to continually learn new tasks witho...
Learning robust models that generalize well under changes in the data
di...
Recent strategies achieved ensembling "for free" by fitting concurrently...
Deep ensembles perform better than a single network thanks to the divers...
Among all fashion attributes, color is challenging to detect due to its
...
Object detectors tend to perform poorly in new or open domains, and requ...
In this paper, we present a method to learn a visual representation adap...