Completed Student Projects
Computational resources for student projects were generously provided by AWS Educate.
# | Project | Link |
---|---|---|
1 |
Generalized Zero-shot Learning with Attention Mechanism Muqiao Yang, Jiaxu Zou, Chentao Ye, Qingtao Hu |
report |
2 |
On the use of graphical models for valuation of financial assets Daniel Martin, Siddharth Satpathy, Jueheng Zhu |
report |
3 |
Optimizing BLEU Scores for Improving Text Generation Terrence Liu |
report |
4 |
Learning to Walk Using Hierarchical Reinforcement Learning Tanmaya Dabral, Karthika Nair, Abhishek Mohta |
report |
5 |
Learning of the No-Trade Zone Yifan Sun, Xiaofei Shi, Yufeng Shen, Zhipeng Yang |
report |
6 |
Network Learning for Neural Model Interpretability Aakanksha Naik, Alankar Jain, Aldrian Obaja Muis |
report |
7 |
Reversible Deep Generative Models for Climate Informatics David Bayani, Jeremy Cohen, Elan Rosenfeld |
report |
8 |
Stylistic Melody Generation with Conditional Variational Auto-Encoder Junyan Jiang, Zhiqi Wang |
report |
9 |
Realistic Noisy Text Generation for Fortified NLP Danish Pruthi, Sachin Kumar, Anjalie Field, Nikolai Vogler |
report |
10 |
Incorporating Visual and Textual Cues in Dialogue Generation: An Application to Comic Strips Aniketh Janardhan Reddy, Ramesh Balaji |
report |
11 |
Randomized Deep Learning Models Against Adversarial Attacks Zhuoran Liu, Ninghao Sha |
report |
12 |
Unsupervised Risk Discovery for Child Welfare Screening Sebastian Caldas, Amanda Coston, Kin Guitierrez, Leqi Liu |
report |
13 |
Post-nonlinear Causal Model with Deep Neural Networks Youngseog Chung, Joon Kim, Tom Yan, Helen Zhou |
report |
14 |
Semantically Disentangled Object Generation Austin Dill, Neel Guha, Rishub Jain, Jeffrey Li |
report |
15 |
Investigating Max-Entropy Latent-Space Policies for Hierarchical Reinforcement Learning Siddharth Ancha, Mengxiong Liu, Xingyu Lin |
report |
16 |
Latent Variable Models to Uncover Neural Population Dynamics Tze Hui Koh, Hillary Wehry, Cathy Su, Darby Losey |
report |
17 |
Text Style Transfer via Back Inference with Pseudo-Parallel Data Mengzhou Xia, Xuanyue Yang, Jiacheng Zhu |
report |
18 |
Approximate inference with Graph Neural Networks Lingxiao Zhao, Ksenia Korovina, Wenwen Si, Mark Cheung |
report |
19 |
Pedestrian Trajectory Prediction with Graph Neural Networks Allan Wang, Zirui Wang, Wentao Yuan |
report |
20 |
Flow Posterior for Uncertainty Estimation Neil Xu, Shalom Yiblet |
report |
21 |
Deep Generative Model for 2D Structure of Natural Product Michael Anastos, Nadim Farhat, Liu Cao |
report |
22 |
Semi-supervised Open Domain Information Extraction with Conditional VAE Zhengbao Jiang, Songwei Ge, Ruohong Zhang, Donghan Yu |
report |
23 |
Hierarchical Structural Learning for Language Generation Benjamin Striner, Siddharth Dalmia |
report |
24 |
Improving DQN and TRPO with Hierarchical Meta-controllers Scott Sun, Aniruddh Shetty, Nishant Gurunath, Raunaq Bhirangi |
report |
25 |
Meta Exploration for Model-Agnostic Reinforcement Learning Swaminathan Gurumurthy, Sumit Kumar, Tianwei Yue |
report |
26 |
Augmenting Contextual Explanation Networks with Logic Rules Angel C. Hernandez, Yao Chong Lim, Ziyang Wang, Wenchao Du |
report |
27 |
Motion-Object-Background Disentangled Representation from Video Binghao Deng, Weizhao Shao, Siyu Gao, Yue Li |
report |
28 |
Video Content Swapping Using GAN Tingfung Lau, Sailun Xu, Xinze Wang |
report |
29 |
Adversarial Music: Real world Audio Adversary against Wake-word Detection Systems Billy Li, Bingqing Chen, Zhuoran Zhang |
report |
30 |
Using Deep Kernels in Time Varying Networks for Reverse-Engineering of Gene Interactions Yiwen Yuan, Xueqian Li, Dong Wang |
report |
31 |
Deep generative model for harmonizing time-series scRNA-seq data Dongshunyi (Dora) Li, Hyun Woong Kim |
report |
32 |
Graph the Invisible: Reasoning for Adversarial Attacks with GNNs Ziheng Cai, Irene Li, Yue Wu |
report |
33 |
Learning Structured Latent Space Encoding for Part Based Generative Modeling of 3D Objects Cormac OMeadhra, Stephen Landers |
report |