Africa
A Experiment on zero-shot classification
The top two rows show easy cases, while the bottom three rows present hard cases, including crowdedness, complex backgrounds, and tiny objects.
Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition Wei He, Kai Han
The development of foundation vision models has pushed the general visual recognition to a high level, but cannot well address the fine-grained recognition in specialized domain such as invasive species classification. Identifying and managing invasive species has strong social and ecological value.
On quantum backpropagation, information reuse, and cheating measurement collapse
Computing gradients through backpropagation is crucial to the success of modern deep neural networks.
A Canonicalization Perspective on Invariant and Equivariant Learning George Ma
In many applications, we desire neural networks to exhibit invariance or equivari-ance to certain groups due to symmetries inherent in the data. Recently, frame-averaging methods emerged to be a unified framework for attaining symmetries efficiently by averaging over input-dependent subsets of the group, i.e., frames. What we currently lack is a principled understanding of the design of frames.
Sequential Memory with Temporal Predictive Coding
However, none of these models were examined in memory tasks.
