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07/27/2023
Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models
Prompt tuning and adapter tuning have shown great potential in transferr...
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07/19/2023
Global Inequality in Cooling from Urban Green Spaces and its Climate Change Adaptation Potential
Heat extremes are projected to severely impact humanity and with increas...
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03/18/2023
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection
Semantically coherent out-of-distribution (SCOOD) detection aims to disc...
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03/09/2023
Cones: Concept Neurons in Diffusion Models for Customized Generation
Human brains respond to semantic features of presented stimuli with diff...
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12/31/2022
A Transient Electrical-Thermal Co-Simulation Method with LTS for Multiscale Structures
In this article, an efficient transient electricalthermal co-simulation ...
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11/21/2022
Neural Dependencies Emerging from Learning Massive Categories
This work presents two astonishing findings on neural networks learned f...
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03/24/2022
FAMLP: A Frequency-Aware MLP-Like Architecture For Domain Generalization
MLP-like models built entirely upon multi-layer perceptrons have recentl...
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03/12/2022
Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning
Non-exemplar class-incremental learning is to recognize both the old and...
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02/08/2022
Self-Paced Imbalance Rectification for Class Incremental Learning
Exemplar-based class-incremental learning is to recognize new classes wh...
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12/03/2021
Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior
Deep learning-based methods for low-light image enhancement typically re...
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08/20/2021
An Adaptive Interpolation Scheme for Wideband Frequency Sweep in Electromagnetic Simulations
An adaptive interpolation scheme is proposed to accurately calculate the...
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08/20/2021
Mitigating Greenhouse Gas Emissions Through Generative Adversarial Networks Based Wildfire Prediction
Over the past decade, the number of wildfire has increased significantly...
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07/19/2021
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning
Few-shot class-incremental learning is to recognize the new classes give...
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03/09/2021
DISC: A Dynamic Shape Compiler for Machine Learning Workloads
Many recent machine learning models show dynamic shape characteristics. ...
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09/23/2020
FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads
We show in this work that memory intensive computations can result in se...
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04/12/2020
Self-Supervised Tuning for Few-Shot Segmentation
Few-shot segmentation aims at assigning a category label to each image p...
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05/16/2019
One-Shot Texture Retrieval with Global Context Metric
In this paper, we tackle one-shot texture retrieval: given an example of...
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11/13/2018
FusionStitching: Deep Fusion and Code Generation for Tensorflow Computations on GPUs
In recent years, there is a surge on machine learning applications in in...
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03/06/2014
Collaborative Filtering with Information-Rich and Information-Sparse Entities
In this paper, we consider a popular model for collaborative filtering i...
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10/01/2013
