Search Results for author: Abulikemu Abuduweili

Found 15 papers, 8 papers with code

Enhancing Sample Generation of Diffusion Models using Noise Level Correction

no code implementations7 Dec 2024 Abulikemu Abuduweili, Chenyang Yuan, Changliu Liu, Frank Permenter

Building on this insight, we propose a novel method to enhance sample generation by aligning the estimated noise level with the true distance of noisy samples to the manifold.

Colorization compressed sensing +4

Revisiting the Initial Steps in Adaptive Gradient Descent Optimization

no code implementations3 Dec 2024 Abulikemu Abuduweili, Changliu Liu

Adaptive gradient optimization methods, such as Adam, are prevalent in training deep neural networks across diverse machine learning tasks due to their ability to achieve faster convergence.

Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity

no code implementations30 Oct 2024 Abulikemu Abuduweili, Changliu Liu

Ensuring neural network robustness is essential for the safe and reliable operation of robotic learning systems, especially in perception and decision-making tasks within real-world environments.

Decision Making

BioSLAM: A Bio-inspired Lifelong Memory System for General Place Recognition

no code implementations30 Aug 2022 Peng Yin, Abulikemu Abuduweili, Shiqi Zhao, Changliu Liu, Sebastian Scherer

We present BioSLAM, a lifelong SLAM framework for learning various new appearances incrementally and maintaining accurate place recognition for previously visited areas.

Escaping the Big Data Paradigm with Compact Transformers

9 code implementations12 Apr 2021 Ali Hassani, Steven Walton, Nikhil Shah, Abulikemu Abuduweili, Jiachen Li, Humphrey Shi

Our models are flexible in terms of model size, and can have as little as 0. 28M parameters while achieving competitive results.

 Ranked #1 on Image Classification on Flowers-102 (using extra training data)

Fine-Grained Image Classification Superpixel Image Classification

Adaptive Consistency Regularization for Semi-Supervised Transfer Learning

1 code implementation CVPR 2021 Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou

To better exploit the value of both pre-trained weights and unlabeled target examples, we introduce adaptive consistency regularization that consists of two complementary components: Adaptive Knowledge Consistency (AKC) on the examples between the source and target model, and Adaptive Representation Consistency (ARC) on the target model between labeled and unlabeled examples.

ARC Pseudo Label +1

Robust Online Model Adaptation by Extended Kalman Filter with Exponential Moving Average and Dynamic Multi-Epoch Strategy

1 code implementation L4DC 2020 Abulikemu Abuduweili, Changliu Liu

The challenge motivates the adoption of online adaptation algorithms to update prediction models in real-time to improve the prediction performance.

Prediction

Adaptable Human Intention and Trajectory Prediction for Human-Robot Collaboration

1 code implementation11 Sep 2019 Abulikemu Abuduweili, Siyan Li, Changliu Liu

The effectiveness and flexibility of the proposed method has been validated in experiments.

Robotics

Efficient Method for Categorize Animals in the Wild

1 code implementation30 Jul 2019 Abulikemu Abuduweili, Xin Wu, Xingchen Tao

Thanks to advanced regularization strategies and ensemble learning, we got top 7/336 places in the final leaderboard.

Ensemble Learning General Classification +1

Automatic Generation of Personalized Comment Based on User Profile

1 code implementation ACL 2019 Wenhuan Zeng, Abulikemu Abuduweili, Lei LI, Pengcheng Yang

Comments on social media are very diverse, in terms of content, style and vocabulary, which make generating comments much more challenging than other existing natural language generation~(NLG) tasks.

Comment Generation Text Generation

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