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04/01/2023
Mask Hierarchical Features For Self-Supervised Learning
This paper shows that Masking the Deep hierarchical features is an effic...
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03/06/2023
Model checking for high-dimensional parametric regressions: the conditionally studentized test
This paper studies model checking for general parametric regression mode...
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01/29/2023
Fast-BEV: A Fast and Strong Bird's-Eye View Perception Baseline
Recently, perception task based on Bird's-Eye View (BEV) representation ...
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01/19/2023
Fast-BEV: Towards Real-time On-vehicle Bird's-Eye View Perception
Recently, the pure camera-based Bird's-Eye-View (BEV) perception removes...
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12/05/2022
MobileTL: On-device Transfer Learning with Inverted Residual Blocks
Transfer learning on edge is challenging due to on-device limited resour...
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10/09/2022
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP
Open-vocabulary semantic segmentation aims to segment an image into sema...
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09/07/2022
Learned Image Compression with Generalized Octave Convolution and Cross-Resolution Parameter Estimation
The application of the context-adaptive entropy model significantly impr...
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06/22/2022
Play It Cool: Dynamic Shifting Prevents Thermal Throttling
Machine learning (ML) has entered the mobile era where an enormous numbe...
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06/21/2022
Asymmetric Learned Image Compression with Multi-Scale Residual Block, Importance Map, and Post-Quantization Filtering
Recently, deep learning-based image compression has made signifcant prog...
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05/28/2022
SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners
Self-supervised Masked Autoencoders (MAE) are emerging as a new pre-trai...
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05/08/2022
Differentiable Electron Microscopy Simulation: Methods and Applications for Visualization
We propose a new microscopy simulation system that can depict atomistic ...
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03/11/2022
Democratizing Contrastive Language-Image Pre-training: A CLIP Benchmark of Data, Model, and Supervision
Contrastive Language-Image Pretraining (CLIP) has emerged as a novel par...
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01/18/2022
RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-training
Recently, self-supervised vision transformers have attracted unprecedent...
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10/11/2021
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
Recently, large-scale Contrastive Language-Image Pre-training (CLIP) has...
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10/08/2021
Learning Topic Models: Identifiability and Finite-Sample Analysis
Topic models provide a useful text-mining tool for learning, extracting ...
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12/25/2020
Inception Convolution with Efficient Dilation Search
Dilation convolution is a critical mutant of standard convolution neural...
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12/20/2020
Reinforcement Learning-based Product Delivery Frequency Control
Frequency control is an important problem in modern recommender systems....
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11/30/2020
ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition
Scale variance among different sizes of body parts and objects is a chal...
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10/09/2020
Once Quantized for All: Progressively Searching for Quantized Efficient Models
Automatic search of Quantized Neural Networks has attracted a lot of att...
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12/24/2019
Computation Reallocation for Object Detection
The allocation of computation resources in the backbone is a crucial iss...
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07/15/2019
Improved Hybrid Layered Image Compression using Deep Learning and Traditional Codecs
Recently deep learning-based methods have been applied in image compress...
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07/03/2019
A Deep Image Compression Framework for Face Recognition
Face recognition technology has advanced rapidly and has been widely use...
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05/06/2018
Bayesian Regularization for Graphical Models with Unequal Shrinkage
We consider a Bayesian framework for estimating a high-dimensional spars...
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09/05/2017
Discriminative Similarity for Clustering and Semi-Supervised Learning
Similarity-based clustering and semi-supervised learning methods separat...
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02/16/2017
An Empirical Bayes Approach for High Dimensional Classification
We propose an empirical Bayes estimator based on Dirichlet process mixtu...
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08/25/2015
Clustering With Side Information: From a Probabilistic Model to a Deterministic Algorithm
In this paper, we propose a model-based clustering method (TVClust) that...
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10/07/2014
PAC-Bayesian AUC classification and scoring
We develop a scoring and classification procedure based on the PAC-Bayes...
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01/10/2013