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Artificial Intelligence Computing Leadership from NVIDIA
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Research Labs
All Research Labs
3D Deep Learning
Applied Research
Autonomous Vehicles
Deep Imagination
Publications
AI Playground
New and Featured
AI Art Gallery
NGC Demos
Research Areas
AI & Machine Learning
3D Deep Learning
Computer Vision
Robotics
All Areas
Careers
Academic Collaborations
Government Collaborations
Graduate Fellowship
Internships
Research Openings
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Meet the Team
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Publications
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Publication Year
2024
(3)
2023
(3)
2022
(5)
2021
(1)
Facet Publication Year
Research Areas
Artificial Intelligence and Machine Learning
(12)
Computer Vision
(7)
Generative AI
(6)
Applied Perception
(2)
Computer Graphics
(2)
Algorithms and Numerical Methods
(1)
Robotics
(1)
Events
ICLR
(12)
12 results found
ICLR
Clear all
ICLR
2024
FasterViT: Fast Vision Transformers with Hierarchical Attention
Ali Hatamizadeh
,
Greg Heinrich
,
Hongxu Danny Yin
, Andrew Tao, Jose M. Alvarez,
Jan Kautz
,
Pavlo Molchanov
ICLR
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
YuChen Hu, Chen Chen,
Huck Yang
, Ruizhe Li, Chao Zhang, Pin-Yu Chen, EnSiong Chng
ICLR
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition
Chen Chen, Ruizhe Li, Yuchen Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, Ensiong Chng,
Huck Yang
ICLR
2023
Graph Metanetworks for Processing Diverse Neural Architectures
Derek Lim,
Haggai Maron
, Marc T. Law, Jonathan Lorraine, James Lucas
ICLR
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation
Chenhongyi Yang, Jiarui Xu,
Shalini De Mello
, Elliot J. Crowley, Xiaolong Wang
ICLR
Notable top 25%
Oral
Robust and Controllable Object-Centric Learning through Energy-based Models
Ruixiang Zhang,
Gerry Che
,
Boris Ivanovic
, Renhao Wang,
Marco Pavone
, Yoshua Bengio, Liam Paull
ICLR
2022
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning
Guy Tenneholtz,
Assaf Hallak
,
Gal Dalal
,
Shie Mannor
,
Gal Chechik
ICLR
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Rinon Gal
, Yuval Alaluf,
Yuval Atzmon
, Or Patashnik, Amit H. Bermano,
Gal Chechik
, Daniel Cohen-Or
ICLR
Top 25%
Accelerated Policy Learning with Parallel Differentiable Simulation
Jie Xu
, Viktor Makoviychuk,
Yashraj Narang
,
Fabio Ramos
, Wojciech Matusik,
Animesh Garg
, Miles Macklin
ICLR
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
Tim Dockhorn,
Arash Vahdat
,
Karsten Kreis
ICLR
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao,
Karsten Kreis
,
Arash Vahdat
ICLR
2021
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
Zhisheng Xiao,
Karsten Kreis
,
Jan Kautz
,
Arash Vahdat
ICLR
