This Github Host Students' Final Project Deliverables from 2019 UVa CS Course: Machine Learning, Math Foundations and Good Use
| Index | Name/ID | Project Name |
|---|---|---|
| T01 | Hildebrandt, Carl | Safe Reinforcement Learning via Shielding |
| T02 | Pattarabanjird, Tanyaporn | Empirical Study of Example Forgetting During Deep Neural Network Learning |
| T03 | Musti, Rohit (rm3qg) | Data Summarization with Privacy and Fairness |
| T04 | Venkataswamy, Vanamala (vv3xu) | Cognitive Scheduler for Heterogeneous High Performance |
| T05 | sc3hn + gz5hp | Deep Structured Prediction |
| T06 | Zhou, Xugui (xz6cz) | Decision Boundary Analysis of Adversarial Example |
| T08 | Liu, Zetian (zl4dc) | Robustness may be at odds with accuracy |
| T09 | Bamrara, Rishab (rb6xj) | How SGD Selects the Global Minima |
| T10 | kd4wa + dc9db + yl5nx + an2adv | ESCAPING SADDLES |
| T11 | Schoch, Stephanie (sns2gr) | Parameter-Efficient Transfer |
| T12 | Sinha, Sanchit (ss7mu) | largeMarginDNN |
| T13 | Sudhakar, Mohit (ms5sw) | Do Different Neural Networks Learn the Same Representation |
| T14 | Ashe, William (wa6gz) | creative-GAN |
| T15 | Skynet, Jacob Dineen (JD5ED) | Wide Activation for SISR |
| T17 | Elsey, Andrew (ae8rh) | Ordered Neurons |
| T18 | Chen, Hannah (yc4dx) | reverseEngineeringBlackBox |
| T19 | Luo, Zhidan (zl6de) | INFORMATION BOTTLENECK |
| T20 | Du, Yu (yd2am) | Visualizing the Loss Landscape |
| T21 | Wang, Clare (rw9fs) | Pre-Training Can Improve Model Robustness and Uncertainty |
| T22 | Yao, David (sy8wg) | Asymmetric Multi-task |
| T23 | Stein, Meriel (ms7nk) | Detecting Adversarial Examples |
| T24 | Peddireddy, Akhil Sai (ap3ub) | Norm Matters |
| T25 | Jung, Chijung (cj5kd) | Learning how to explain neural networks |
| T26 | sl2kd | Interpretable Neural Dialog Generation |
| T27 | Luo, Tianyang (tl2sf) | Implicit Acceleration by Overparameterization |
| T28 | Su, Yiwen (ys5kh) | missingDataByNN |
| T29 | Cascante Bonilla, Paola (pc9za) | Select Via Proxy: data4train |
| T31 | Amiridi, Magda (ma7bx) | Detecting Statistical Interactions from Neural Network Weights |
| T32 | Cheng, Kaiming (kc4jd) | WhyTrainGANconverge |
| T33 | Sharifi, Abdolrasoul (as3mx) | HIGH-DIMENSIONAL GEOMETRY for BinaryNN |
| T34 | Song, Tairan (ts2ww) | Neural Networks Generalize on Small Data Sets |