GRE: Evaluating Computer Vision Models on Generalizablity Robustness and Extensibility
Computer Vision
Junwon Park
[report] [poster]
Building the Optimal Book Recommender and measuring the role of Book Covers in predicting user ratings
General Machine Learning
Alexander Yoffe, Cecile Loge
Motion Based Handwriting Recognition
Athletics & Sensing Devices
Kelly He, Kevin CHEN, Wanze Xie
Learning Adversarially Robust and Rich Image Transformation for Object Classification
Nicholas Lai, Kimberly Alexis Te, Matthew Ang Tan
Predicting Style And Quality of Vinho Verde from its Physical Properties
Physical Sciences
Jonathan Elias Calles
Moving Object Removal in Unlabeled Image Databases
Victor Chen, Daniel Marcos Mendoza, Yechao Zhang
Probabilistic Matrix Factorization for Music Recommendation
Lu Liu
Unsupervised Recovery of Tree Metrics from Learned LanguageRepresentations
Natural Language
Benjamin Louis Newman
Steel Defect Detection with High Frequency Camera Images
Xinrui Wang, Zhuoran Ma, Mengxi Li
Likelihood of a Work Visa Approval
Siddhartha Prakash, Hitesh Vyas
Stop and Scan the Trees: Tree Leaf Recognition with Transfer Learning
Krishna Kartik Patel, Chris Allen Koenig
Classification of Insincere Questions on Quora
Jerry Chen, Hao Mao, Rekha Kumar
Predicting Yards Gained on NFL Handoff
Bradley Stephen Barnhart, Travis McGuire, Dahlia Radif
Semantic Similarity Search
Josh Hedtke, Sergei Petrov
Application of Sentiment Analysis for Labelling Charaters Good or Evil
Ethan Robert Curtis, Masha Karelina, Felipe Kettlun
Integrity-Based Fault Detection for GNSS Navigation Safety
Siddharth Tanwar, Tara Yasmin Mina
Malicious Agent Classification In Multi-Agent Formation Control
William Chong
Nagarjuna Rao Venkata Sai Chakka, Michael Caine Lanier, Sibi Shanmugaraj
Machine Learning for predicting sediment particle size
Galen Charles Egan
Predicting Movie Ratings with Multimodal Data
Ruoyun Ma, Yichen Yang, Min Haeng Cho
Real-estate price prediction for King County region
Finance & Commerce
Bharat Chandramouli
News-oriented Stock Price Trend Prediction
Xinwei He, Jiachen Ge, Zecheng Zhang
Vowel formants predict place of articulation of following consonant in Kannada: Evidence for the autosegmental theory of phonology
Audio & Music
Praveen Nareshkumar Pallegar
Machine Learning Based Pallets Detection and Tracking in AGVs
Jie Xiang, James Han, Shengchang Zhang
Predicting the Response of Triple-Negative Breast Cancer Patients to Neoadjuvant Chemotherapy using Unstructured Text
Life Sciences
Bryan Sanghyuk Kim, Eric Tetsuo Matsumoto, Andrew Warren Sharp
ShipNet: A Fishing Vessel DatasetChallenges and Opportunities
Gregory John Weaver
Learning to play SLITHER.IO with deep reinforcement learning
Theory & Reinforcement Learning
Zhanpei Fang, Joan Creus-Costa
Using Neural Networks to Learn Quadruped Leg Models
Tarun Antony Punnoose
Predicting Ozone Nonattainment in US Counties with Supervised Learning
Max Sutton
Predicting Eruptive Events at Volcanoes from Earthquake Data
Ben Mullet, Ankush Singh, Ying Qi Wong
A Privacy Preserved Image-to-Image Translation Model in MRI: Distributed Learning of WGANs
Tolga Ergen, Berivan Isik, Batu Mehmet Ozturkler
FacePaint: An Exploration of Localized Transfer on Facial Expressions
Sasha Harrison, Frits van Paasschen
ProdKG: Embedding Knowledge Graphs into Product Spaces
Eric Scott Frankel, Tommy Yang, Dhruvik Parikh
Deep Faking Political Twitter using Transfer lersining and GPT2
Madeline Miranda Liao, Ryan Kazuo Ressmeyer, Sam Harris Masling
Continuous Control in Bearing-only Localization
Cedrick Mark Argueta
Predicting Weight Loss Using The MyFitnessPal Dataset
William Locke, Marissa Rachel Lee, Nick Comly
Melbourne Airbnb Price Prediction
Han Wu, Tiancheng Cai, Kevin Han
Understanding Molecular Data using Graph Neural Networks
Suraj Menon
Barebones Music Generation
Jacob Aaron Meisel, Ben Iver Rocklin
Deap Learning for ETF Price Prediction
King San Chan, Mike Victor Hsieh, Yue Pan
NBA Game Predictions Based on Player Chemistry
Bai Yang Wang, Prastuti Singh
The Goldilocks Zone and Geometric Features of High-Dimensional Parameter Spaces
Jeffrey Chang
Tennis Match Predection using Machine Learning
Ajay Krishna Amudan
Generative Modeling and Prediction of Spontaneous Epileptic Seizures
Peter Herminio Maldonado, Christine Joy Liu, Keegan Mehall
How to Build a Recommender System
Junhua Chen
TF-Finder: Predicting the Underlying Transcription Factors in Genomic Sequencing Data
David Wei Wu, Diwakar Ganesan
Prioritized Experience Replay via Learnability Approximation
Megumi Sano, Nomi Ringach
Discovering Consumer Preferences from Choices
Lewis Richard Warne
White Christmas: Remaking Augmented Reality Censorship from Black Mirror with Identity-Preserving Instance Segmentation
Mario Baxter, Michael Yoomin Lee
Identification of Monolayer Material
Yue YU, Sze Cheung Lau, Jun Ho Son
Multi Class Text Sentiment Analysis
Alex Nam, Jihun Hong, Austin Song Cai
Smoothing Multi Stage Fine-Tuning in Multi-Task NLP Applications
Amirreza Ziai, Oleg Rudenko
Paper Citation Classification
Camilo Andres Saavedra, Sophia Liu, Chung Son Bui
Analysis and Classification of Symbolic Western Classical Music by Composer
Tim Yngesjo, Saahil Jain, Akshay Smit
Context-based Flagging of Misclassified Objects in Aerial Imagery
Yash Chandramouli, Caroline Natasha McKee, Paul Caron
Forecasting Wikipedia Page Views with Graph Embeddings
Anthony Miyaguchi, Nicolai Galeo Garcia, Shaon Chakrabarti
Music Generator
Kelly Mawaba Ndombe
Predicting streetcar delays
Andrei Cheremukhin
[report]
Interpretable & Actionable Models Using Attribute & Uncertainty Information
Olivia Hsu, Mikaela Angelina Chan Uy, Yew Siang Tang
Prediction of Future Offensive Performance of MLB Position Players
Derek Bryan McCreight, Stephanie Danielle Brito, Susana Benavidez, Peter Anthony McEvoy
Toxic Comment Detection and Classification
Prinslou Kipchumba Tare
Documentation Is All You Need
Felipe Bomfim Pinheiro de Meneses
Link Failure Prediction and Localization in Cloud Scale Networks using Supervised Learning
Zahra Bakhtiari
Patch-based Classification on Low Resolution Images
Xiaojun Sun, Tian Du, Wei Zhi Cheung
Compositional Event Detection Using Weak Supervision
Sundararajan Renganathan, Aasavari Dhananjay Kakne, Mark Darryl Cramer
Utilizing color data in VoteNet for 3D Object Detection in Point Clouds
Xue Dong
Gaining a Statistical Edge in Scorre Prediction using Machine Learning: Role of Meta Statistics in Match Prediction
Varun Harbola, Kyuho Lee
What Defines a Good Stack Overflow Answer Post, an automated post rater
Yanpei Tian, Yanhao Jiang, Chunyue Wei
Benchmarking Graph Convolutional Networks Performance with Mixed-Product Space Embedding
James Li, Fangchen Li, Lingjue Xie
Recurrent Neural Physics Engine
Jinxiao Zhang, Jun Hwan (Joshua) Ryu
Tuning of an Aircraft Pitch PID Controller with Reinforcement Learning and Deep Neural Nets
ADYASHA DEBAHUTI MOHANTY, Emma Paulina Schneider
Regularization Paths for Stratified Cox's Porportional Hazards Model via Coordinate Descent
Fang Cai
Fake Review Detection on Yelp
Ferhat Turker Celepcikay, Khaled Aounallah, Ganapathy Sankararaman
Audio Classification of Accelerating Vehicles
Angel Yang, Emmett Daniel Goodman
Spread of Wildfire Pollutants in California
Courtney Noel Moran, Richard Li, Akwasi Sarpong Owusu-Akyaw
Prediction of Two Phase Flow Rate Through Wellhead Chokes in Oil Wells
TALAL SAAD AL SHAFLOOT, Negar Nazari
Combining Signal Transformation to Learning Models for Human Activity Recognition
Dan Luo, Tianyi Li
Thank You Next: Using NLP Techniques to predict song skips on spotify based on sequential user and accoustic data
Markie Maraya Wagner, Alex Joshua Hurtado, Surabhi Gopal Mundada
Automatic Lunar Crater Detection from Optical Images and Elevation Maps
Hugo Kitano, Mara Rachel Finkelstein, Susanna Maria Baby
Machine Learning Techniques to Search for 2νββ decay of 136Xe to the excited state of 136Ba in EXO-200
George Halal
Receipe Rating Prediction
Sarah Hensley
Uncover The Factors To Help Measure How Young Children Learn
Shenglan Yu
Bypassing Censorship
Siah Yong Tan, Christopher Glenn Laban Cross, Sasankh Munukutla
Improving LiDAR Point Cloud Classification of Urban Objects
Peggy Wang, Tristan Ryan Gosakti
Using Reinforcement Learning to Optimize the Rules of a Board Game
Gwanggyu Sun
Exploring Feature Visualization: How Optimized Images Range Across Networks and Approaches
Dawn Finzi
Exploration of Anomaly Detection through CCTV Cameras
Sean Kazuyuki Decker, Wei Sheng Ler
Effects of Clinical Data in Skin Cancer Classification
Monica Pan, Tom Young, Dezhen Kong
Predicting the Amount of Water Resources in Lake Tahoe
Ayaka Abe
Subsurface Imaging using GANs
Rustam Akhmadiev
Ensemble Networks for Better Facial Recognition of Bearded Faces
Amogh Dixit, Akash Singhal, Edward Benjamin Vendrow
Improving Neural Abstractive Summarization via Bert Score
Zhengping Zhou, Yuhui Zhang, Ruocheng Wang
Computer Vision Lip Reading
Grace Valeria Tilton
Predicting Used Car Prices
Varun Uday Nayak, Pranav Vijay Gadre, KSHITIJ TUKARAM KUMBAR
Semi-supervised EM & Weak-Supervision in Anomaly Detection
Minakshi Mukherjee, Suvasis Mukherjee
"This Game Is In The Fridge": Predicting NBA Game Outcomes
Jesse Alexander Rodriguez
Contextual program token predistion
Scott Scott Kovach
Predicting Cycling Performance From Historical Data
Anna Revinskaya
Estimating Required Dosage of Warfarin
Fengjun Yang, Chee Ching Ong
Fine Grained Action Recognition in Sport Videos
Amit Nagpal
Automatic Detection of Breaks and Fractures in X-Ray Bone Images
Maurizio Valesani, Maithreyi Gopalakrishnan, Jaymee Sheng
Fooling Image Copy Detection Algorithms with GANs
Anton Ponomarev
CNN Image Recognition Architecture Simplification using Patch-Based Data Reduction Techniques
Jiying Zou, Rui Yan, Yuan Liu
Efficiently Satisfying Subgroup Fairness in Generalized Classification Settings
Fahim Tajwar, Matt Christiaan King
Wildfire Burn Area Prediction
Adam Adam Stanford-Moore, Ben Karl Moore
Active Learning to Solve Class Imbalance in BirdSpecies Classification
Christian Alexander Gabor
Identifying Brain Activity from EEG Recordings
Trenton Chang, Ray Iyer, Caroline Cin-kay Ho
Pub2vec: A Recommender System for Similar Publications via Citation Network Embeddings
Brian Kang Ryu
Quantum estimation of classifically intractable kernels for highly entangled feature maps
Connie Hsueh, Ziheng Cao, Irene Pu Zhang
Predicting Airbnb Listing Price Across Different Cities
Xuanyu Zhou, Yuanhang Luo, Yulian Zhou
Corporate Bankruptcy Prediction
Neha Abajirao Patil
Weak Supervision in the Age of Transfer Learning for Natural language Processing
Fei Fang, Zihan Xie
Predicting Future Performance of Convolutional Neural Networks in Early Training Stages
Chengzhe XU, Yunfeng Xin, Hangyi Zhao
A Machine Learning Based Yelp Recommendation System
Pranav Bhardwaj, Nicolas Olivier Bievre, Frederik Johan Mellbye
Money-laundering detection using machine learning with companies registers’ public data
Francois Xavier Alain Henri Chesnay, Sebastian Hurubaru
[poster]
Generating Whole Transcriptomic Profiles Using Compressed Sensing and Machine Learning
Dane Michael Hankamer, Andra Fehmiu, Kamal Obbad
Hyperbolic Graph Convolutional Neural Network for Link Prediction on Synthetic Graphs
Evan Laksono, Damir Vrabac
Machine learning to predict Reynolds stresses in transitional boundary layer fluid flow
Shaun Ransom Harris
The Dusk of Survey Dat and the Dawn of Aerial Imagery in Economics: Cost-efficient Housing Price Learning in the Developing World
Rodrigo Naumann, Matias Nicolas Cersosimo, Alexandr Lenk
Modeling Wine Quality from Physicochemical Properties
Dale Angus
Beyond Fuzzy Matching: Effective ways to transfer learning in NLP
Sruthi Poddutur
Assessing Perceptual Noice Level Defined by Human Calibration and Image Rulers
Lisa Lei
Applying Machine Learning to Connect Four
Hormazd Nadir Godrej, Luke Kim, Chi Trung Nguyen
Forecasting the GBP/USD Exchange Rate in the Era of Brexit
Alp Kutlualp
Weak Supervision with Incremental Source Accuracy Estimation
Richard Gresham Correro
Emoji Prediction from Sentence
Chen Huang, Xueying Xie, Boyu Zhang
Recovering Geometric Information with Learned Texture Perturbations
Yongxu Jin
Neural Question Generation
Bilguunzaya Battogtokh, Daniel Khang Thieu Do
Audio Track Accompaniment
Marion Lepert, Jerome Nowak
Material Synthesis Techniques from a Data-driven Perspective
Qile Zhi, Yinchen Xu, Can Liu
% LMS: A stochastic gradient algorithm inspired by neurobiology
Stephane Remigereau, Jake Kaplan, Abhipray Sahoo
Youtune Video Prediction will This be popular?
Yuping Li, Liqian Zhang, Kent Xin Kin Eng
Loanliness: Predicting Loan Repayment Ability by Using Machine Learning Methods
Zihan Wang, Yiyun Liang, Xiaomeng Jin
Machine Learning Algorithms for Sourcing and Evaluating VC and PE investment deals
Andrew Benjamin Matangaidze, Yijie Sun, Prerna Pankaj Khullar
Software error grouping with machine learning
Arpad Jozsef Tamasi
Theme Classification for texts Using Naive bayes and neural Networks
Remy Zawislak, Albin Larsson Forsberg
Motor temperature prediction with KNN and CNN
Ace Hu, Ran Le, Kaijun He
Physics-aware Neural Network Approach to Inverse Problems in Groundwater Contamination
Hannah Lu, Ziyan Wang
Applying Deep Reinforcement Learning to FiniteState Single Player Games
Donald Stephens
Predicting a Startup’s Acquisition Status
Ivy Wang
An Efficient Algorithm for Robust Collaborative Learning
Mingda Qiao
Automating the Identification of Illegal Human Activities in the Amazon Rainforest
XiaRui Charles Zhang, Jacky Lin, Anisha Goel
Compositionality Detection with Latent Dirichlet Allocation
Reuben Harry Cohn-Gordon
Speech to Text Translation Using Google Speech Commands
Amita Chandrakant Patil, Hyung Lee
Tradeoffs Between Embeddings in Different Models of theHyperbolic Space
Eric Lou, Shawn Brian Zhang, Ishan Gaur
Investigating the Importance of SMEs in InfoSec Machine Learning Projects
Napoleon Cornel Paxton
Applying Machine Learning Algorithms to Predict UFC Fight Outcomes
McKinley McQuaide
Kuzushiji Character Recognition & Classifying
Nathan Lyndon Traxler, Anthony Tu Le
Finite Mixture Models: Beyond the EM Algorithm
Viktor Krapivin, Carlos Alberto Gomez Uribe, Grace Ann Woods
Improved Weak Gravitational Lensing Using Generative Adversarial Netowrks
Amay Aggarwal, Andrew L Ying, Michel Dellepere
A Hybrid Approach to Recommending Recipes with Textual Information
Helena Huang, Yinghao Sun
Typeface Semantic Attribute Prediction from Rasterized Font Representations
Lucia Zheng, Julia Xiaozhe Gong, Suvir Prakash Mirchandani
A Bayesian Approach to Predicting Occupational Transitions
Lilia V Chang