Getting Started
Schedule
Tutorials
Main Conference
Invited Talks
Panels
Orals
Papers
Spotlight Posters
Competitions
Datasets and Benchmarks
Journal Track
Creative AI Track
Outstanding Paper Awards
Workshops
Community
Affinity Events
Socials
Mentorship
Town Hall
Careers / Recruiting
Help
Presenters Instructions
Moderators Instructions
FAQ
Helpdesk in RocketChat
Organizers
Login
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
248 Results
<<
<
Page 1 of 21
>
>>
Poster
Thu 0:30
Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation
Yufei Wang · Can Xu · Huang Hu · Chongyang Tao · Stephen Wan · Mark Dras · Mark Johnson · Daxin Jiang
Workshop
Accurate Imputation and Efficient Data Acquisitionwith Transformer-based VAEs
Sarah Lewis · Tatiana Matejovicova · Yingzhen Li · Angus Lamb · Yordan Zaykov · Miltiadis Allamanis · Cheng Zhang
Workshop
Characterizing and Improving MPC-based Private Inference for Transformer-based Models
Yongqin Wang · Brian Knott · Murali Annavaram · Hsien-Hsin Lee
Workshop
Accurate Imputation and Efficient Data Acquisitionwith Transformer-based VAEs
Sarah Lewis · Tatiana Matejovicova · Yingzhen Li · Angus Lamb · Yordan Zaykov · Miltiadis Allamanis · Cheng Zhang
Poster
Wed 16:30
TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework
Shun Lu · Jixiang Li · Jianchao Tan · Sen Yang · Ji Liu
Affinity Workshop
Transformer-based Self-Supervised Learning for Medical Images
Mariia Dobko · Mariia Kokshaikyna
Workshop
Mon 8:40
Stephane Deny: "Learning transformations from data via recurrent latent operators"
Workshop
Rethinking Graph Transformers with Spectral Attention
Devin Kreuzer · Will Hamilton · Vincent Létourneau
Workshop
Mon 11:20
Xavier Boix: "Robustness to Transformations Across Categories: Is Robustness Driven by Invariant Neural Representations?"
Workshop
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers
Ruihan Yang · Minghao Zhang · Nicklas Hansen · Huazhe Xu · Xiaolong Wang
Workshop
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers
Ruihan Yang · Minghao Zhang · Nicklas Hansen · Huazhe Xu · Xiaolong Wang
Workshop
Pathologies in Priors and Inference for Bayesian Transformers
Tristan Cinquin · Alexander Immer · Max Horn · Vincent Fortuin
NeurIPS uses cookies to remember that you are logged in. By using our websites, you agree to the placement of cookies.
Our Privacy Policy »
Accept Cookies