CS291K 2022 Fall: Machine Learning Project Presentation Day (Dec 5, 2022)

Photo gallery


Awards


Projects

TitleTeam
1Offline Policy Evaluation with Adaptively Collected DataSunil Madhow
2An Exploration of Facial Emotion Recognition Models and Building a User-Friendly InterfaceGautam Mundewadi, Chinmay Sonar
3How should I pronounce your name? Avani Tanna, Marius Fleischer, Aditya Gulati
4Predicting Earnings Surprises from Conference Call Transcripts with Deep LearningRoss Koval
5VIP-MM: Viral Protein Mutation MachineZhenqiao Song
6Can You Take A Punch?: A Resiliency Survey Against Adversarial Attacks of Deep ModelsAaron Jimenez
7On Neural Ordinary Differential Equations for Natural Language TasksDanqing Wang
8Towards Safe and Trustworthy AI Systems with FACTAlex Mei
9Object Detection using RetinaNetBrian Lee, Punnal Ismail Khan, Kimia Afshari
10Calculation versus Intuition: Contrasting Decision-Making Processes in Chess AILucas Nguyen
11A Hindsight based Backward & Forward Exploration Strategy for State Space Search Problems. Vihaan Akshaay Rajendiran
12Machine Predictions on Pretrail ReleaseLei Yue
13Dense Passage Retrieval: QANTA BERTZihan Ma, Qiming Wu, Shi Bu
14Optimizing Transformer for Low-Resource Yakut-Russian NMTKyle Wong
15It is All About AttentionAlfonso Amayuelas Fernandez, Deepak Nathani, Krushna Shah
16Deep Learning based Movie Recommendation SystemPranjali Jain, Vinothini Gunasekaran, Apoorva Jakalannanavar Halappa Manjula
17Visualizing Text with Diffusion ModelsBairu Hou, Yujian Liu, Jiabao Ji
18Deployment efficient reward free RL with linear representation.Dan Qiao
19Attention for Brain Network AnalysisChristos Zangos
20Agile Compressed Time-Through Back-Propagation Spiking Neural Network for edge intelligenceBoxun Xu
21Neuroformer: A Transformer Framework for Multimodal Neural Data AnalysisAntonis Antoniades
22Improving Diffusion-Language-Model sampling speed with ordinary differential equationsXianjun Yang
23Differential Privacy in Survival AnalysisEsha Singh
24Hierarchical Representation Learning for Network Data Danish Ebadulla, Harsha Miryala, Taanya Anand, Satyandra Guthula
25Zero-shot Dense Retrieval with Contrastive Dual LearningShanxiu He
26Cross Lingual Transfer Learning for Automatic Speech RecognitionShinda Huang, Nawel Alioua, Rasta Tadayon Tahmasebi
27Towards Sanskrit-English NMTRajan Saini
28Constrained Text Generation from the Pretrained Embedding SpaceWenda Xu
29Parameter- and Memory-Efficient Language Modeling with Ladder-Side NetworkKangyou Yu, Weizhi Wang
30On Recent Progress in Long Sequence ModelingSiqi Ouyang
31Trajectory Retrieval for Learning-Free Efficient Stable Diffusion Kexun Zhang