bai-yt Goto Github PK
Name: Yatong Bai
Type: User
Company: UC Berkeley
Bio: PhD candidate interested in adversarial robustness of neural classifiers and efficient audio generation.
Blog: https://bai-yt.github.io
Name: Yatong Bai
Type: User
Company: UC Berkeley
Bio: PhD candidate interested in adversarial robustness of neural classifiers and efficient audio generation.
Blog: https://bai-yt.github.io
Implementation of the paper "Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing".
My personal website and the demo page of consistency text-to-audio generation (arxiv.org/abs/2309.10740).
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
ConsistencyTTA: Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation
Unofficial implementation of the paper "Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks".
This is a modified version of the Basics of Musical Instruments Classification using Machine Learning repository by GuitarsAI (https://github.com/GuitarsAI/BasicsMusicalInstrumClassifi). Various data augment techniques were used to vastly improve accuracies.
A list of neural classifier adversarial robustness papers that consider ensembles of models.
[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers
RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]
Semi-Supervised Learning, Object Detection, ICCV2021
Proj under dev
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