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Leonard Tang's Projects

adversarial-exploration icon adversarial-exploration

Exploring adversarial attacks on MNIST, CIFAR-10, and COCO. Methods to consider: only perturbing context pixels, non-occlusive patches, one-pixel techniques.

bottom-up-synthesis icon bottom-up-synthesis

Bottom-up enumerative search for simple compound expressions for Arithmetic and String manipulation DSLs

cartesan icon cartesan

good times at agi house (1st place winner)

cnn-for-nlp icon cnn-for-nlp

PyTorch implementation of Convolutional Neural Networks for Sentence Classification (Kim 2014).

convsort icon convsort

CNNs aren't Turing-complete -- so the pivotal question remains: can CNNs sort numbers?

degraded-polygons-rbc icon degraded-polygons-rbc

Degraded Polygons Raise Fundamental Questions of Neural Network Perception (NeurIPS D&B 2023)

gcn-intro icon gcn-intro

Using Graph Convolutional Networks to explore network embedding and training; eventually interested in Graph Representation Learning (i.e. scene representation)

graph-rcnn.pytorch icon graph-rcnn.pytorch

Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers

leonard-tdw icon leonard-tdw

Standalone controller scripts, CSV files, JSON files for image generation. Updated to match TDW (v1.6).

llm-watermarks icon llm-watermarks

Baselines for Identifying Watermarked Large Language Models (ICML AdvML 2023)

object-detection-tdw icon object-detection-tdw

Testing various object detection tasks using Faster RCNN with backbone ResNet-50, pretrained on COCO.

pixmix icon pixmix

PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures

rand-mst icon rand-mst

Speedy on-line MST algorithm on massive random graphs

stock-forecaster icon stock-forecaster

Twitter sentiment analysis + SVR to predict stocks. 3rd place poster presenter at CT JSHS.

stonks icon stonks

memeing reddit. got featured in yahoo and prnewswire for these shenanigans: https://www.yahoo.com/now/expert-ai-announces-winners-sentiment-130000915.html. no longer live-updating b/c i no longer want to waste money on aws resources

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