2,676 research outputs found
Inside and outside
In this thesis, I will focus on sculptural ceramic vessels. I regard the vessel not only as a physical object but also a container carrying memories, imaginations, and emotions. I use the vessel as a metaphor to relate to one person, one object, and one phenomenon, the way I see it.
The thesis aims to explore the connections between what has happened in the past and what is happening now for a fuller understanding of self. Memory is an important subject matter for me. I believe life is not chronological, while the memory of what happened in the past and what is happening now is continually intertwined and profoundly leading each other. With my vessel sculptures, I want to take the viewers on a journey of how life passes through with the gain and loss, known and unknown, seen and unseen in life experience. Those experiences good or bad make who we are and who we will be.
Many of my vessels result from the human figure and architectural language. Through exploration of the form and my aesthetics, organics profile, geometric structure, light, and shadow all work together to express a form language that has come to define the character of my work and communicate my ideas with the vessel
Hyperspherical Loss-Aware Ternary Quantization
Most of the existing works use projection functions for ternary quantization
in discrete space. Scaling factors and thresholds are used in some cases to
improve the model accuracy. However, the gradients used for optimization are
inaccurate and result in a notable accuracy gap between the full precision and
ternary models. To get more accurate gradients, some works gradually increase
the discrete portion of the full precision weights in the forward propagation
pass, e.g., using temperature-based Sigmoid function. Instead of directly
performing ternary quantization in discrete space, we push full precision
weights close to ternary ones through regularization term prior to ternary
quantization. In addition, inspired by the temperature-based method, we
introduce a re-scaling factor to obtain more accurate gradients by simulating
the derivatives of Sigmoid function. The experimental results show that our
method can significantly improve the accuracy of ternary quantization in both
image classification and object detection tasks
Pruning On-the-Fly: A Recoverable Pruning Method without Fine-tuning
Most existing pruning works are resource-intensive, requiring retraining or
fine-tuning of the pruned models for accuracy. We propose a retraining-free
pruning method based on hyperspherical learning and loss penalty terms. The
proposed loss penalty term pushes some of the model weights far from zero,
while the rest weight values are pushed near zero and can be safely pruned with
no need for retraining and a negligible accuracy drop. In addition, our
proposed method can instantly recover the accuracy of a pruned model by
replacing the pruned values with their mean value. Our method obtains
state-of-the-art results in retraining-free pruning and is evaluated on
ResNet-18/50 and MobileNetV2 with ImageNet dataset. One can easily get a 50\%
pruned ResNet18 model with a 0.47\% accuracy drop. With fine-tuning, the
experiment results show that our method can significantly boost the accuracy of
the pruned models compared with existing works. For example, the accuracy of a
70\% pruned (except the first convolutional layer) MobileNetV2 model only drops
3.5\%, much less than the 7\% 10\% accuracy drop with conventional
methods
An Experimental Proposal to Test Dynamic Quantum Non-locality with Single-Atom Interferometry
Quantum non-locality based on the well-known Bell inequality is of kinematic
nature. A different type of quantum non-locality, the non-locality of the
quantum equation of motion, is recently put forward with connection to the
Aharonov-Bohm effect [Nature Phys. 6, 151 (2010)]. Evolution of the
displacement operator provides an example to manifest such dynamic quantum
non-locality. We propose an experiment using single-atom interferometry to test
such dynamic quantum non-locality. We show how to measure evolution of the
displacement operator with clod atoms in a spin-dependent optical lattice
potential and discuss signature to identify dynamic quantum non-locality under
a realistic experimental setting.Comment: 4 page
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