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06/21/2023
Towards Mitigating Spurious Correlations in the Wild: A Benchmark a more Realistic Dataset
Deep neural networks often exploit non-predictive features that are spur...
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05/25/2023
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression
Contrastive learning (CL) has emerged as a powerful technique for repres...
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02/18/2023
Data-Efficient Contrastive Self-supervised Learning: Easy Examples Contribute the Most
Self-supervised learning (SSL) learns high-quality representations from ...
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02/08/2023
The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks
Energy efficient implementations and deployments of Spiking neural netwo...
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06/15/2022
Edge Inference with Fully Differentiable Quantized Mixed Precision Neural Networks
The large computing and memory cost of deep neural networks (DNNs) often...
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08/17/2021
Edge AI without Compromise: Efficient, Versatile and Accurate Neurocomputing in Resistive Random-Access Memory
Realizing today's cloud-level artificial intelligence functionalities di...
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03/05/2020
Memory Organization for Energy-Efficient Learning and Inference in Digital Neuromorphic Accelerators
The energy efficiency of neuromorphic hardware is greatly affected by th...
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09/27/2016
Training a Probabilistic Graphical Model with Resistive Switching Electronic Synapses
Current large scale implementations of deep learning and data mining req...
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07/11/2016
Forward Table-Based Presynaptic Event-Triggered Spike-Timing-Dependent Plasticity
Spike-timing-dependent plasticity (STDP) incurs both causal and acausal ...
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11/14/2015
