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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
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Publications
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2024
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(8)
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(9)
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(7)
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(1)
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Artificial Intelligence and Machine Learning
(24)
Generative AI
(16)
Computer Vision
(15)
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(5)
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(2)
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(2)
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(1)
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(1)
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NeurIPS
(28)
28 results found
NeurIPS
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NeurIPS
2024
Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models
Yuchen Hu, Chen Chen,
Huck Yang
, Chengwei Qin, Pin-Yu Chen, Eng Siong Chng, Chao Zhang
NeurIPS
Diffusion-Reward Adversarial Imitation Learning
Chun-Mao Lai, Hsiang-Chun Wang, Ping-Chun Hsieh,
Frank Wang
,
Min-Hung Chen
, Shao-Hua Sun
NeurIPS
2023
Point-Cloud Completion with Pretrained Text-to-image Diffusion Models
Yoni Kasten
, Ohad Rahamim,
Gal Chechik
NeurIPS
Convolutional State Space Models for Long-Range Spatiotemporal Modeling
Jimmy T. H. Smith,
Shalini De Mello
,
Jan Kautz
, Scott Linderman,
Wonmin Byeon
NeurIPS
Generalizable One-shot 3D Neural Head Avatar
Xueting Li
,
Shalini De Mello
,
Sifei Liu
,
Koki Nagano
,
Umar Iqbal
,
Jan Kautz
NeurIPS
SceneScape: Text-Driven Consistent Scene Generation
Rafail Fridman, Amit Abecasis,
Yoni Kasten
, Tali Dekel
NeurIPS
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models
Chen Chen, YuChen Hu,
Huck Yang
, Sabato Marco Siniscalchi, Pin-Yu Chen, Ensiong Chng
NeurIPS
Syntactic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment
Royi Rassin, Eran Hirsch, Daniel Glickman, Shauli Ravfogel, Yoav Goldberg,
Gal Chechik
NeurIPS
Oral presentation
Norm-guided latent space exploration for text-to-image generation
Dvir Samuel, Rami Ben-Ari, Nir Darshan,
Haggai Maron
,
Gal Chechik
NeurIPS
Train Hard, Fight Easy: Robust Meta Reinforcement Learning
Ido Greenberg,
Shie Mannor
,
Gal Chechik
,
Eli Meirom
NeurIPS
2022
HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression
Jiaqi Gu,
Ben Keller
,
Jean Kossaifi
, Anima Anandkumar,
Brucek Khailany
, David Z. Pan
NeurIPS
Spotlight Paper
An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design
Mingjie Liu
,
Haoyu Yang
, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Selim Dogru, Anima Anandkumar, David Z. Pan,
Brucek Khailany
,
Haoxing (Mark) Ren
NeurIPS
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras
,
Miika Aittala
,
Timo Aila
,
Samuli Laine
NeurIPS
NeurIPS Outstanding Paper
LION: Latent Point Diffusion Models for 3D Shape Generation
Xiaohui Zeng,
Arash Vahdat
, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler,
Karsten Kreis
NeurIPS
Paraphrasing Is All You Need for Novel Object Captioning
Cheng-Fu Yang, Yao-Hung Hubert Tsai, Wan-Cyuan Fan, Ruslan Salakhutdinov, Louis-Philippe Morency,
Frank Wang
NeurIPS
Embodied Scene-aware Human Pose Estimation
Zhengyi Luo, Shun Iwase,
Ye Yuan
, Kris Kitani
NeurIPS
SPoVT: Semantic-Prototype Variational Transformer for Dense Point Cloud Semantic Completion
Sheng-Yu Huang, Hao-Yu Hsu,
Yu-Chiang Frank Wang
NeurIPS
GENIE: Higher-Order Denoising Diffusion Solvers
Tim Dockhorn,
Arash Vahdat
,
Karsten Kreis
NeurIPS
Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising
Jon Hasselgren
, Nikolai Hofmann,
Jacob Munkberg
NeurIPS
2021
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
Despoina Paschalidou, Amlan Kar, Maria Shugrina,
Karsten Kreis
, Andreas Geiger, Sanja Fidler
NeurIPS
Alias-Free Generative Adversarial Networks
Tero Karras
,
Miika Aittala
,
Samuli Laine
, Erik Härkönen,
Janne Hellsten
, Jaakko Lehtinen,
Timo Aila
NeurIPS
EditGAN: High-Precision Semantic Image Editing
Huan Ling,
Karsten Kreis
, Daiqing Li, Seung Wook Kim, Antonio Torralba, Sanja Fidler
NeurIPS
Controllable and Compositional Generation with Latent-Space Energy-Based Models
Weili Nie
,
Arash Vahdat
, Anima Anandkumar
NeurIPS
Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence
Tianshi Cao, Alex Bie,
Arash Vahdat
, Sanja Fidler,
Karsten Kreis
NeurIPS
Score-based Generative Modeling in Latent Space
Arash Vahdat
,
Karsten Kreis
,
Jan Kautz
NeurIPS
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction
Gal Dalal
,
Assaf Hallak
,
Steven Dalton
,
Iuri Frosio
,
Shie Mannor
,
Gal Chechik
NeurIPS
2020
Variational Amodal Object Completion
Huan Ling, David Acuna,
Karsten Kreis
, Seung Wook Kim, Sanja Fidler
NeurIPS
2019
Instant Quantization of neural networks using Monte Carlo Methods
Gonçalo Mordido,
Matthijs Van keirsbilck
,
Alex Keller
NeurIPS