Skip to yearly menu bar
Skip to main content
Main Navigation
NeurIPS
Help/FAQ
Contact NeurIPS
Code of Ethics
Code of Conduct
Create Profile
Journal To Conference Track
Diversity & Inclusion
Proceedings
Future Meetings
Press
Exhibitor Information
Privacy Policy
Downloads
My Stuff
Login
Select Year: (2021)
2025
2024
2023
2021
2022
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
2006
Past Conferences
Getting Started
Schedule
Featured
Workshops
Tutorials
Main Conference
Panels
Orals
Competitions
Datasets & Benchmarks
Journal Track
Outstanding Paper Awards
Invited Talks
Spotlights
Papers
Community
Affinity Events
Socials
Meetups
Mentorship
Town Hall
NeurIPS Café
Careers / Recruiting
Help
Presenters Instructions
Moderators Instructions
FAQ
Helpdesk in RocketChat
Organizers
What is a Draft Website
firstbacksecondback
Search All 2021 Events
Filter by Keyword:
Active Learning
Adversarial Robustness and Security
Bandits
Causality
Clustering
Continual Learning
Contrastive Learning
Deep Learning
Domain Adaptation
Fairness
Federated Learning
Few Shot Learning
Generative Model
Graph Learning
Interpretability
Kernel Methods
Language
Machine Learning
Meta Learning
Neuroscience
Online Learning
Optimal Transport
Optimization
Privacy
Reinforcement Learning and Planning
Representation Learning
Robustness
Self-Supervised Learning
Semi-Supervised Learning
Theory
Transfer Learning
Transformers
Vision
87 Results
<<
<
Page 6 of 8
>
>>
Poster
Fri 8:30
Multi-Facet Clustering Variational Autoencoders
Fabian Falck · Haoting Zhang · Matthew Willetts · George Nicholson · Christopher Yau · Chris C Holmes
Poster
Tue 8:30
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
Lijie Fan · Sijia Liu · Pin-Yu Chen · Gaoyuan Zhang · Chuang Gan
Poster
Fri 8:30
Three-dimensional spike localization and improved motion correction for Neuropixels recordings
Julien Boussard · Erdem Varol · Hyun Dong Lee · Nishchal Dethe · Liam Paninski
Poster
Tue 8:30
Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems
Zixiu Wang · Yiwen Guo · Hu Ding
Poster
Thu 8:30
Fair Clustering Under a Bounded Cost
Seyed Esmaeili · Brian Brubach · Aravind Srinivasan · John Dickerson
Poster
Fri 8:30
Label consistency in overfitted generalized
k
k
-means
Linfan Zhang · Arash Amini
Poster
Tue 8:30
Row-clustering of a Point Process-valued Matrix
Lihao Yin · Ganggang Xu · Huiyan Sang · Yongtao Guan
Workshop
Unsupervised Feature Extraction Clustering for Crisis Prediction
Ran Wang
Workshop
Mon 14:20
Adèle Ribeiro - Effect Identification in Cluster Causal Diagrams
Adèle Ribeiro
Workshop
Integer Programming Approaches To Subspace Clustering With Missing Data
Akhilesh Soni · Daniel Pimentel-Alarcón
Workshop
Mon 13:15
Keynote Talk: Personalization in Federated Learning: Adaptation and Clustering (Asu Ozdaglar)
Asuman Ozdaglar
Workshop
Secure Byzantine-Robust Distributed Learning via Clustering
Raj Kiriti Velicheti · Sanmi Koyejo
Successful Page Load
NeurIPS uses cookies for essential functions only. We do not sell your personal information.
Our Privacy Policy »
Accept Cookies