CSE185

Projects

List of project ideas:
project.pptx
Projects for Spring 2024:

"Faster diffusion inferenc"e, Magzhan Gabidolla
"Finetuning Open-source Large Language Model", Sanjeeb Dey and Abylay Amanbayev
"3D navigation through the NeRF synthesized views", Amit Thakur
"General Variational Autoencoder for Imbalanced Dataset", Shangjie Du and Yue Zhang
"LLM Prompt Recovery", Kevin Chau and Dhawal Modi
"Solving Stochastic Orienteering using Graph Attention with Reinforcement Learning", Marcos Zuzuarregui
"Urbanization, Infrastructure, and Politics: A Machine Learning Framework for Analyzing Political Dynamics of Infrastructure Change", Amreeta Das
"Comparative Analysis of LSTM, GRU and Transformer for Statistics-informed Neural Network", Zihan Xu
"Image Difference Captioning using Tansformers", Sravan Jayati
"Residual Encoded Distillation For Efficient Image Recognition", Fang Chen
"Graph Neural Networks and Graph Isomorphism Testing", Qingyun Chen
"A convolutional recurrent network with attention for speech command recognition", Hui Feng
"Clustered Attention for Accelerating Diffusion-Based Image Generation", Mugen Blue
"Deep Learning for Activity Recognition with Vibration Sensing", Dong Yoon Lee
"Lidar Point Clouds Semantic Segmentation", Weimin Qiu
"Semi-supervised Semantic Segmentation for Agricultural Analysis from Aerial Images", Altynay Smagulova
"Semantic segmentation with deep learning using the DeepLab V3+ algorithm", Wesley Tam
"Improving Synthetic Data for Scribble-based Segmentation with Discriminator Guidance", Jieke Wang
"Automatic Tuning of System Configurations for Multi-Tiered Memory Systems", Xi Wang
"Using Deep Learning Models to Classify Malicious Spectre Attacks and Benign Programs", Xiwei Zhou