When: Thursday, December 12
Where: Sayles Hall
Come see the fantastical final projects produced by the hardworking students of CSCI 1470/2470! Deep Learning Day is a celebration of their efforts. It is also, by structure, a mini research conference. The day is divided into four Sessions, each of which features multiple projects organized around a small set of themes. Students in CSCI 1470 will present posters during these sessions, and students in CSCI 2470 (the graduate-level version of the course) will give brief oral presentations. Come to one session, to multiple, or to all---just come! We'd love to have you stop by, give feedback, and show your support for the Fall 2019 cohort of Brown deep learners.
| 9:00 AM | Opening Remarks | |
| 9:15 AM | Session 1: Natural Language Processing | |
| 🎤 Identification of duplicate Quora question pairs | Stella Xiao, Yaxi Lei, Qiran Gong, Wenhao Yang | |
| 🎤 sarc2seq: Translation of Sarcastic Sentences for Improved Sentiment Analysis Accuracy | Kathryn Scholl, Yanyan Ren, Michael Coppoli | |
| 🎤 Second Language Acquisition Modeling with Attention | Rafael Alberto Sanchez Rodriguez, Nihal Vivekanand Nayak, Juho Choi, Seungchan Kim | |
| 🎤 Five Pages in Five Lines: Descriptive Text Summarization with GPT-2 | Rashi Dhar, Soma Arunkanti Hota, Matthew McAvoy | |
| 🎤 Quora Insincere Questions Classification | Vipul Vinayak Gupta, Esen Erdemgil, Maulik Dang | |
| 🎤 Generating Sarcastic Comments with LSTMs | Kat Chai, Natalie Reed, Summer Gerry, Marshall Lerner | |
| 🎤 RNN-based Classical Chinese Poetry Generation with Planning technique | Qingyi Lu, Da Huo, Yue Sun | |
| 🎤 Integrating Grammar Tree Structure into the BERT Language Model | Shiyi Han, Shunjia Zhu, Yiming Zhang | |
| 🎤 Conversation Generation with Transformer and ConceptNet | Jiayang Wu, Haili Chen, Ke Ding, Houyu Zhang | |
| 🎤 OMG: Analyzing Sentiments of Tweets | Ao Wang, Emily Reed, Yunyun Yao, Pedro Freitas | |
| 🎤 Presidential Tweet Frequency Prediction | Harman Suri, Jake Chanan, Anatoly Brevnov, Nikolai Illarionov | |
| Predicting Political Party Affiliation of Climate Change Tweets | Hannah Haas, Claudia Meyer, Madeline Griswold, Cintia Araujo | |
| “Fake!”: Identifying fake news in tweets | William Patterson, Rinad Salkham, Jaja Sothanaphan | |
| HOROSCRAPE - (HOROSCOPE GENERATOR...THE DIFFERENCES BEHIND THE SIGNS) | Alexander Ogilvy, Emma Kofman, Andrew Rickert | |
| Online Post Fake News Detector | Ariel Rotter-Aboyoun, Daniel Kostovetsky, Julius Sun, Raymond Cao | |
| Sentiment Analysis on Amazon Customer Reviews | David Promisel, Kristen Mashikian, Daniel Adkins, Kuba Tarlowski | |
| Style Transfer of Natural Language | Tiger Dingsun, Nadia Lahlaf | |
| Deep Loving: Hating on Hate Speech | Alina Kim, Diana Lee, Daniela Wiepert, Niharika Jhingan | |
| Genre is a Spectrum: Synoptic Multiple Label Classification | Solomon Zitter, Daniel Smits | |
| Long Short Term Memory Loss: Pun Generation using Neural Networks | Shawna Huang, Evan Velasquez | |
| Generating Natural Language in the style of The Office via a Neural Machine Translation Context | Ruixi Seet, Lisa Yang | |
| %$@# Comment Classification | Venkata Shubhang Kandiraju, Melissa Wang, Sally Zhi, Michael Lincoln | |
| Re-implementing: Teaching Machines to Read and Comprehend | Young Jie Cho, Ragna Agerup, Kento Nambara, Zhengyi Peng | |
| Rhyme Time: Learning to Generate Rhythmic Verse | Ivan Zhao, Sorin Cho, Timothy Wang, Morgann Thain | |
| Learning Emotional Intelligence: Emotion-Cause Pair Extraction from Text | Sophie Yang, Nazem Aldroubi, Daphne Li-Chen, Ang Li | |
| Ain’t Nobody Got Time for That! (Text Summarization) | Jason Fischman, Kei Nawa, Seth Wernick | |
| Sentiment Analysis of Movie Reviews | Yue You, Zhen Zheng | |
| T^3 (Train, Transform, Translate) | Homer Walke, Sebastien Jean-Pierre, Gabriel Marks, David Cabatingan | |
| Constructing Kinship Graphs with RNNs | Benjamin Spiegel | |
| 10:40 AM | Break | |
| 10:50 AM | Session 2: Vision and Data Science | |
| 🎤 Weakly Supervised Image Classifier | Ahmed Agiza, Marina Hesham Wasfy Neseem | |
| 🎤 Pneumonia Detection from Medical Images | Amber Ogata, Huayu Ouyang, Jennifer Nino Tapia | |
| 🎤 Medical Image Segmentation through Pruned Deep Neural Networks | Georgios Zerveas, Reza Esfandiarpoor | |
| 🎤 Segmentation of Tumors in Medical Images | Angel Suet Yan Cheung, Kyle Cui, Elliot Kang | |
| 🎤 Pneumonia Prediction from Chest X-Ray Images | Qian Xiang, Queena Zhang, Tiancan Yu | |
| 🎤 Big Time Rush: Predicting Rush Distance for Football Plays | Gokul Ajith, Harrison Boyer, Benjamin Decky, Akhil Trehan | |
| 🎤 CNN Based Predictive Maintenance | Cong Huang, Hanyan Liu, Xiaodong Zhang | |
| 🎤 Detecting fractures on ankles and predicting the location of fracture. | Yuchen Hua, Chengzhao Tu | |
| 🎤 Street Sign Classification | Kaiqi Jiang, Christopher Wong, Dominic Ferri | |
| 🎤 Ship Detection In Satellite Images with U-Net | Dong Xian Zou, Peng Chen, Zhoutao Lu, Wensi You | |
| Bone Abnormality X-ray Classification | Nicholas Merchant, Bowen Chen, Adam Pikelny | |
| NBA Predictions Using Feature Analysis | William Schor, Jacob Begemann, Eric Dellavalle, Greyson Gerhard-Young | |
| Phishing in the Deep: Detecting Phishing URLs with Deep Learning | Elizabeth Wang, Koyena Pal, Cat Nguyen Dinh, Tiffany Ding | |
| Deep Climate | Nickolas Eisele, Mert Tavukcuoglu, Zhen Zhang | |
| An Exploration Into the Classification of Dog Breeds (feat. What Dog Breed Are YOU? @ TAs) | Nicole Cheng, Zachary Mor, Gisele Garcia | |
| Night Sight for All: Learing to Adjust Exposure in Dark/Underexposed Images | Oscar Newman, Isaac Hilton-VanOsdall, Benjamin Gershuny, John Bitar | |
| Learning the Dress Code: Fashion Style Compatibility | Tomi Madarikan, Angel Rodriguez, Delmy Garcia, Hannah Chow | |
| You Only Look Once with TensorFlow 2.0 | Ziwei Chen, Shixin Liu, Zeyu Ruan, Geng Yang | |
| Detecting Lung Cancer fron PET Scans | Gerald Wu, Jonathan Lee | |
| Real-Time Logo Detection | Geo Lee, Suhye Park | |
| A CNN to detect malignant skin lesions | Jung Ho Gong, Jia-Shu Chen, Isaiah Liu, Elizabeth Dimen | |
| Automating food diary entries through images | Jessy Ma, Rebecca Zuo, Karlly Feng | |
| Why so serious? Facial Expression Classification | Neil Sehgal, John Paul Champa, Andrew Wei, Zhe Chang | |
| Forecasting hotel reservations with LSTM based RNNs | Diane Mutako, Litian Yang, Dinithi Silva Sassaman | |
| Deep State: Can We Trust You? Predicting First Impressions with Deep Learning | John Diorio, Sophie Starck, Jonathan Douglas, Noah Duncan | |
| Bounding box object detection | Alex Meyerowitz, Alexander Yu, Shrishti Lulla, Jesus Contreras | |
| Solving Captchas | Sebastien Lamy, Ayse Sena Demir, Andrew Peterson | |
| Microorganism Classification | Kayla Scharfstein, Ajay Balaji, David Lu | |
| WTF (What The Font): Font Detection | Maggie Wu, Katherine Sang, Minna Kimura-Thollander | |
| Using regularization methods to tackle adversarial images classification problems | ldeng8, yzhan236, yzhao101 | |
| Stock Prediction Using Reactionary Recurrent Neural Network | Rahul Dey, Mustafa Ghani | |
| 12:15 PM | Lunch Break | |
| 1:15 PM | Session 3: Graphics and Reinforcement Learning | |
| 🎤 Filling in Incomplete Images | Min Jeong Kang, Daniel Nam, Jingxiao Ma | |
| 🎤 Wetnet: Style Transfer for Water Simulation | Natalie Lindsay, Purvi Goel, James Guesman, Michael Cosgrove | |
| 🎤 Using Generative Adversarial Networks (GANs) to Synthesize Images Depicting Traditional Mexican Crafts | Xiaotong Fu, Huakai Liu | |
| 🎤 A de-weathering extension for self-driving cars | Dhananjay Bhaskar, Loudon Cohen, Mert Alaydin, Saman Sang | |
| 🎤 Practical lighting and reflectance decomposition for relighting face images | Xianghao Xu, Qian Zhang | |
| 🎤 Mastering BBTAN with Deep Reinforcement Learning | Brandon Tan, Irvin Lim, Xiangyu Li, Chong Wang | |
| 🎤 Deep Contra | Lu Shao, Yanzhi Xin | |
| 🎤 Project Pickaxe: Playing Minecraft with Deep RL | Nikhil Pant, Spencer Greene, Deniz Bayzit | |
| Self-Driving Mario Kart Using Deep Learning | Tyler Jiang, Wenhuang Zeng, Lawrence Huang, George Lee | |
| Software Breaks Hearts: Playing the Game of Hearts with Deep RL | Tucker Berkmann, Gulam Murtaza, Peter Shewmaker | |
| Comparison of Deep Q Learning and Policy Learning on Trading | Jeremy Chen, Stephen Cheung | |
| Deep Reinforcement Learning on Simplified Overcooked | Gene Siriviboon, Top Piriyakulkij, Panthon Imemkamon | |
| Breakout of Being Bad | Zak Wegweiser, Ethan Sattler, Ravi Kandula, Louis Kilfoyle | |
| Deep Recurrent Q Networks to Solve Avalon | Alexander Ivanov, Jason Crowley | |
| Coloring in the Deep: Using Deep Learning for Image Colorization | Husam Salhab, Martin Chu, Rohit Jawle, Robert Maloney | |
| Zero Shades of Gray: Real-Time User-Guided Image Colorization with Learned Deep Priors | Shenandoah Duraideivamani, Thomas Del Vecchio, Geoffrey Glass, Mia Santomauro | |
| Image to Image Mapping using Conditional Adversarial Networks | Jason Senthil, Coleman Dowdle, Nishant Kumar, Yuan Gao | |
| A Couple of If-Statements with Path-Tracing: Denoising Monte Carlo Renderings | Gabriel Rizk, Brandon Li, Dylan Tian, Andrew Canino | |
| JET Net: Generating Running Routes | Trevor Houchens, Elliot Laidlaw, Julia McClellan | |
| DeepLice (Deep Learning Liar’s Dice) | Zhaoyong Zheng, Ilan Bigio, Jacob Leiken | |
| Towards Intelligent Upsampling of Natural Images (TIUNI) | Zsozsho Biegl, Isa Milefchik, Rachel Wang, Tiffany Nguyen | |
| Colorizer | Kshitij Sachan, Ben Silverman, Anoop Singh | |
| Classifying Hand-Drawn Sketch Images | Nisha Khater, Lucia Reyes, Madelyn Adams, Laurie Finkelsztein | |
| Face Aging with Conditional Generative Adversarial Networks | Joy Zheng, Joshua Kim, James Li, Melis Gokalp | |
| Reimplementing Image Style Transfer | Kotone Tsuji, Ken Kawamura | |
| Album Cover Generation by Genre. | Dybe Fredy Mwaisyange, William Kuenne, Griffin Kupsaw, Mateo Encarnacion | |
| Probabilistic Neural Networks | Isaac Benghiat | |
| 2:40 PM | Break | |
| 2:50 PM | Session 4: Music, Audio, and Much More | |
| 🎤 Multi-scale Deep Tensor Factorization for Financial Data | Troy Moo Penn, Zachary Laporta | |
| 🎤 Pulse Classification from LUX RQ Data Using Supervised Learning | Austin Vaitkus, Nathaniel Swanson, Casey Rhyne | |
| 🎤 Pulse discrimination of cosmic muon in simple scintillators | Jeanne Bang, Taeun Kwon | |
| 🎤 Understanding the Topology of Neural Networks | Yang Xiao, He Yun | |
| 🎤 Physics-Informed Neural Networks for Partial Differential Equations in Mechanics | Enrui Zhang, Minglang Yin, Zongren Zou, Wei Cheng | |
| 🎤 Transcription Binding Site Identification with Attention Model | Suchen Zheng, Xiling Zhang | |
| 🎤 Transformer Modeling on Autoencoded Neuronal Signals to Predict Relative Joint Angle Displacement | Matthew Alexander, Tyler DeFroscia | |
| 🎤 Using AIQNs and Imitation learning to Construct an Optimal Stochastic Policy for Primate Arm Motion | Olivia Langley, Sean Nathan, Gregory Cho | |
| 🎤 Gene Expression Prediction using Graph Convolutional Networks | Jeremy Bigness, Qing Wu, Omer Dai | |
| New Ear’s Resolution: Audio Super-Resolution using Neural Nets | Jackson Markey, Victoria Lin, Kevin Ouyang, Sung Hyun Mo | |
| Reducing Dimension in Single-Cell Data with Generative Networks | Daniel Ben-Isvy, Jaison Jain, Benjamin Foulon | |
| ShallowVariant - Training a Child Model from DeepVariant | August Guang, Mary McGrath | |
| Predicting Depression Levels | Shbham Makharia, Srinjoy Srimani, Jake Sokol | |
| Predicting Primate Upper Limb Movements Via Neuron Firing Rates is No Monkey Business | Jason Manuel, Cindy Li, Put Dam | |
| Predicting Monkey Hand Pose from Neural Activity | Conrad Zborowski, Xavier Loinaz, Naomi Lee | |
| BrainGELU: Monkeying Around | Zoe Beckman, Alexander Homer, Soryan Kumar, Viknesh Kasthuri | |
| Music Generation | Katie Friis, William Jurayj | |
| Accenter | Mark Lavrentyev, Arvind Yalavarti, Jeffrey Zhu | |
| BachLSTM | John Lhota, Nicholas Wee | |
| Efficient Music Auto-Tagging with Convolutional Neural Networks | Ekaterina Lezine, Shash Sinha, Yilmaz Sayin | |
| LSTM-Type Beat | Kyle Qian, Christie Gahm, Dylan Ngo | |
| Low Transverse Momentum Tau Reconstruction Using LHC Data | Jason Whang, Ye Won Byun, Eleanor Eng, Young Park | |
| Bach to the Future: Learning To Generate Bach Compositions | Gabby Asuncion, Sophia Chen, Kelvin Yang, Stanley Yip | |
| Pop Predictor v1.0: Predicting Music Popularity | Andrew Kopplin, Marshall Vyletel, Lynn Hlaing | |
| Arabic Spoken Digit Classification | Lauren Anderson, James White | |
| Music Genre Classification | Prithu Dasgupta, Daniel Park, Bill Ma | |
| Piano Genie: Music Generation Based on User Input | Oh Joon Kwon, Jaehyun Jeon, Junewoo Park, Min Jean Cho | |
| From Franck to Fitzgerald: Jazz in the Style of Classical Music | Anessa Petteruti, Katherine Kwan, Alexander Rothberg, Luke Cadigan | |
| Implementation of a physics-informed deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations | Hanxun Jin, Zhi Li | |
| 4:15 PM | Closing Remarks |