Deep Learning
New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
Uncovering Safety Risks of Large Language Models through Concept Activation Vector
Neural Information Processing Systems
Warning: This paper contains text examples that are offensive or harmful in nature.
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LocCa: Visual Pretraining with Location-aware Captioners Bo Wan 1,3 Michael Tschannen 1 Y ongqin Xian
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Specifically, LocCa employs two tasks, bounding box prediction and location-dependent captioning, conditioned on the image pixel input.
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Nuclear Norm Regularization for Deep Learning
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Penalizing the nuclear norm of a function's Jacobian encourages it to locally behave
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