research
∙
02/28/2023
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data
Semi-supervised learning aims to train a model using limited labels. Sta...
share
research
∙
11/23/2022
Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation
Generating a video given the first several static frames is challenging ...
research
∙
11/23/2021
Semi-Supervised Learning with Taxonomic Labels
We propose techniques to incorporate coarse taxonomic labels to train im...
research
∙
06/02/2021
The Semi-Supervised iNaturalist Challenge at the FGVC8 Workshop
Semi-iNat is a challenging dataset for semi-supervised classification wi...
research
∙
04/01/2021
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification
We evaluate the effectiveness of semi-supervised learning (SSL) on a rea...
research
∙
03/11/2021
The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 Workshop
This document describes the details and the motivation behind a new data...
research
∙
06/26/2020
Unsupervised Discovery of Object Landmarks via Contrastive Learning
Given a collection of images, humans are able to discover landmarks of t...
research
∙
10/08/2019
When Does Self-supervision Improve Few-shot Learning?
We present a technique to improve the generalization of deep representat...
research
∙
06/17/2019
Boosting Supervision with Self-Supervision for Few-shot Learning
We present a technique to improve the transferability of deep representa...
research
∙
04/16/2019
Active Adversarial Domain Adaptation
We propose an active learning approach for transferring representations ...
research
∙
09/07/2018
A Deeper Look at 3D Shape Classifiers
We investigate the role of representations and architectures for classif...
research
∙
04/01/2016