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(94)
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(67)
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(46)
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(38)
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Artificial Intelligence and Machine Learning
(427)
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(176)
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(75)
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(69)
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(48)
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(40)
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427 results found
Artificial Intelligence and Machine Learning
Clear all
Artificial Intelligence and Machine Learning
2024
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
Amirmojtaba Sabour, Sanja Fidler,
Karsten Kreis
ICML
DoRA: Weight-Decomposed Low-Rank Adaptation
Shih-Yang Liu,
Chien-Yi Wang
,
Hongxu Danny Yin
,
Pavlo Molchanov
,
Frank Wang
, Kwang-Ting Cheng,
Min-Hung Chen
ICML
Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models
Huan Ling, Seung Wook Kim, Antonio Torralba, Sanja Fidler,
Karsten Kreis
CVPR
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
WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space
Katja Schwarz, Seung Wook Kim, Jun Gao, Sanja Fidler, Andreas Geiger,
Karsten Kreis
ICLR
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis
Kevin Xie, Jonathan Lorraine, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng
Novel Transformer Model Based Clustering Method for Standard Cell Design Automation
Chia-Tung (Mark) Ho
, Ajay Chandna, David Guan, Alvin Ho, Minsoo Kim, Yaguang Li,
Haoxing (Mark) Ren
ISPD
Best Paper Award
Generating images of rare concepts using pre-trained diffusion models
Dvir Samuel, Rami Ben-Ari, Simon Raviv, Nir Darshan,
Gal Chechik
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
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
Graph Metanetworks for Processing Diverse Neural Architectures
Derek Lim,
Haggai Maron
, Marc T. Law, Jonathan Lorraine, James Lucas
ICLR
Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition
Srijith Radhakrishnan,
Huck Yang
, Sumeer Khan, Rohit Kumar, Narsis Kiani, David Gomez-Cabrero, Jesper Tegnér
XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies
Xuanchi Ren, Jiahui Huang, Xiaohui Zeng, Ken Museth, Sanja Fidler, Francis Williams
CVPR
A Neural Receiver for 5G NR Multi-user MIMO
Sebastian Cammerer
,
Fayçal Aït Aoudia
,
Jakob Hoydis
, Andreas Oeldemann, Andreas Roessler, Timo Mayer,
Alex Keller
Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling
Jakob Hoydis
,
Fayçal Aït Aoudia
,
Sebastian Cammerer
,
Merlin Nimier-David
,
Nikolaus Binder
,
Guillermo Marcus
,
Alex Keller
CircuitOps: An ML Infrastructure Enabling Generative AI for VLSI Circuit Optimization
Rongjian Liang
,
Anthony Agnesina
, Geraldo Pradipta, Vidya A. Chhabria,
Haoxing (Mark) Ren
Graph Neural Networks for Enhanced Decoding of Quantum LDPC Codes
Anqi Gong,
Sebastian Cammerer
, Joseph M. Renes
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability
Xiaolin Fang,
Caelan Garrett
,
Clemens Eppner
, Tomás Lozano-Pérez, Leslie Pack Kaelbling,
Dieter Fox
CORL
Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning
Ryan Hoque,
Ajay Mandlekar
,
Caelan Garrett
, Ken Goldberg,
Dieter Fox
CORL
NOD-TAMP: Multi-Step Manipulation Planning with Neural Object Descriptors
Shuo Cheng,
Caelan Garrett
,
Ajay Mandlekar
,
Danfei Xu
CORL
Oral presentation
Imitating Task and Motion Planning with Visuomotor Transformers
Murtaza Dalal,
Ajay Mandlekar
,
Caelan Garrett
,
Ankur Handa
, Ruslan Salakhutdinov,
Dieter Fox
CORL
Human-In-The-Loop Task and Motion Planning for Imitation Learning
Ajay Mandlekar
,
Caelan Garrett
, Danfei Xu,
Dieter Fox
ChipNeMo: Domain-Adapted LLMs for Chip Design
Mingjie Liu
, Teo Ene, Robert Kirby, Chris Cheng,
Nathaniel Pinckney
,
Rongjian Liang
, Jonah Alben, Himyanshu Anand, Sanmitra Banerjee, Ismet Bayraktaroglu, Bonita Bhaskaran, Bryan Catanzaro, Arjun Chaudhuri, Sharon Clay, Bill Dally, Laura Dang, Parikshit Deshpande, Siddhanth Dhodhi, Sameer Halepete, Eric Hill, Jiashang Hu, Sumit Jain,
Brucek Khailany
, George Kokai, Kishor Kunal, Xiaowei Li, Charley Lind, Hao Liu, Stuart Oberman, Sujeet Omar, Sreedhar Pratty, Jonathan Raman, Ambar Sarkar, Zhengjiang Shao, Hanfei Sun, Pratik P Suthar, Varun Tej,
Walker Turner
, Kaizhe Xu,
Haoxing (Mark) Ren
TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models
Tianshi Cao,
Karsten Kreis
, Sanja Fidler, Nicholas Sharp, Kangxue Yin
ICCV
Generative Novel View Synthesis with 3D-Aware Diffusion Models
Eric R. Chan,
Koki Nagano
,
Matthew Chan
, Alexander W. Bergman, Jeong Joon Park, Axel Levy,
Miika Aittala
,
Shalini De Mello
,
Tero Karras
, Gordon Wetzstein
ICCV
Oral
DreamTeacher: Pretraining Image Backbones with Deep Generative Models
Daiqing Li, Huan Ling, Amlan Kar, David Acuna, Seung Wook Kim,
Karsten Kreis
, Antonio Torralba, Sanja Fidler
ICCV
2D-3D Interlaced Transformer for Point Cloud Segmentation with Scene-Level Supervision
Cheng-Kun Yang,
Min-Hung Chen
, Yung-Yu Chaung, Yen-Yu Lin
ICCV
ATT3D: Amortized Text-To-3D Object Synthesis
Jonathan Lorraine, Kevin Xie, Xiaohui Zeng,
Chen-Hsuan Lin
,
Towaki Takikawa
, Nicholas Sharp,
Tsung-Yi Lin
,
Ming-Yu Liu
, Sanja Fidler, James Lucas
ICCV
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