Ke Li - RankMe

63 papers A* 18Journal 38Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	WIMLE: Uncertainty-Aware World Models with IMLE for Sample-Efficient Continuous Control. CoRR Mehran Aghabozorgi, Alireza Moazeni, Yanshu Zhang, Ke Li
2024	A*	`conf`	IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs. ICLR Yuzhen Mao, Martin Ester, Ke Li
2024	J	`jnl`	IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs. CoRR Yuzhen Mao, Martin Ester, Ke Li
2024	J	`jnl`	Intrinsic PAPR for Point-level 3D Scene Albedo and Shading Editing. CoRR Alireza Moazeni, Shichong Peng, Ke Li
2024	A*	`conf`	PAPR in Motion: Seamless Point-level 3D Scene Interpolation. CVPR Shichong Peng, Yanshu Zhang, Ke Li
2024	A*	`conf`	ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Field. NeurIPS Kiyohiro Nakayama, Mikaela Angelina Uy, Yang You, Ke Li, Leonidas J. Guibas
2024	J	`jnl`	ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Process. CoRR Kiyohiro Nakayama, Mikaela Angelina Uy, Yang You, Ke Li, Leonidas J. Guibas
2024	—	`conf`	Rejection Sampling IMLE: Designing Priors for Better Few-Shot Image Synthesis. ECCV (21) Chirag Vashist, Shichong Peng, Ke Li
2024	J	`jnl`	Rejection Sampling IMLE: Designing Priors for Better Few-Shot Image Synthesis. CoRR Chirag Vashist, Shichong Peng, Ke Li
2023	A*	`conf`	Adaptive IMLE for Few-shot Pretraining-free Generative Modelling. ICML Mehran Aghabozorgi, Shichong Peng, Ke Li
2023	A*	`conf`	DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion. ICCV George Kiyohiro Nakayama, Mikaela Angelina Uy, Jiahui Huang, Shi-Min Hu, Ke Li, Leonidas J. Guibas
2023	J	`jnl`	DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion. CoRR Kiyohiro Nakayama, Mikaela Angelina Uy, Jiahui Huang, Shi-Min Hu, Ke Li, Leonidas J. Guibas
2023	J	`jnl`	Diffusion models with location-scale noise. CoRR Alexia Jolicoeur-Martineau, Kilian Fatras, Ke Li, Tal Kachman
2023	J	`jnl`	How Good Are Deep Generative Models for Solving Inverse Problems? CoRR Shichong Peng, Alireza Moazeni, Ke Li
2023	A*	`conf`	NeRF Revisited: Fixing Quadrature Instability in Volume Rendering. NeurIPS Mikaela Angelina Uy, Kiyohiro Nakayama, Guandao Yang, Rahul Krishna Thomas, Leonidas J. Guibas, Ke Li
2023	J	`jnl`	NeRF Revisited: Fixing Quadrature Instability in Volume Rendering. CoRR Mikaela Angelina Uy, Kiyohiro Nakayama, Guandao Yang, Rahul Krishna Thomas, Leonidas J. Guibas, Ke Li
2023	A*	`conf`	PAPR: Proximity Attention Point Rendering. NeurIPS Yanshu Zhang, Shichong Peng, Alireza Moazeni, Ke Li
2023	J	`jnl`	PAPR: Proximity Attention Point Rendering. CoRR Yanshu Zhang, Shichong Peng, Alireza Moazeni, Ke Li
2023	A*	`conf`	SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates. CVPR Mikaela Angelina Uy, Ricardo Martin-Brualla, Leonidas J. Guibas, Ke Li
2023	J	`jnl`	SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates. CoRR Mikaela Angelina Uy, Ricardo Martin-Brualla, Leonidas J. Guibas, Ke Li
2022	A*	`conf`	CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesis. NeurIPS Shichong Peng, Seyed Alireza Moazenipourasil, Ke Li
2022	J	`jnl`	CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesis. CoRR Shichong Peng, Alireza Moazeni, Ke Li
2022	—	`conf`	Deep Learning of Latent Edge Types from Relational Data. Canadian AI Kiarash Zahirnia, Oliver Schulte, Ke Li, Ankita Sakhuja, Parmis Naddaf
2022	A*	`conf`	Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders. NeurIPS Kiarash Zahirnia, Oliver Schulte, Parmis Naddaf, Ke Li
2022	J	`jnl`	Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders. CoRR Kiarash Zahirnia, Oliver Schulte, Parmis Naddaf, Ke Li
2022	—	`conf`	Multimodal Shape Completion via Implicit Maximum Likelihood Estimation. CVPR Workshops Himanshu Arora, Saurabh Mishra, Shichong Peng, Ke Li, Ali Mahdavi-Amiri
2022	J	`jnl`	Variational Model Inversion Attacks. CoRR Kuan-Chieh Wang, Yan Fu, Ke Li, Ashish Khisti, Richard S. Zemel, Alireza Makhzani
2021	J	`jnl`	Cascading Modular Network (CAM-Net) for Multimodal Image Synthesis. CoRR Shichong Peng, Alireza Moazeni, Ke Li
2021	A*	`conf`	DeRF: Decomposed Radiance Fields. CVPR Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi
2021	J	`jnl`	Deep Medial Fields. CoRR Daniel Rebain, Ke Li, Vincent Sitzmann, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi
2021	J	`jnl`	Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning. CoRR Kiarash Zahirnia, Ankita Sakhuja, Oliver Schulte, Parmis Nadaf, Ke Li, Xia Hu
2021	J	`jnl`	Gotta Go Fast When Generating Data with Score-Based Models. CoRR Alexia Jolicoeur-Martineau, Ke Li, Rémi Piché-Taillefer, Tal Kachman, Ioannis Mitliagkas
2021	J	`jnl`	Shape Completion via IMLE. CoRR Himanshu Arora, Saurabh Mishra, Shichong Peng, Ke Li, Ali Mahdavi-Amiri
2021	A*	`conf`	Variational Model Inversion Attacks. NeurIPS Kuan-Chieh Wang, Yan Fu, Ke Li, Ashish Khisti, Richard S. Zemel, Alireza Makhzani
2020	J	`jnl`	Better Knowledge Retention through Metric Learning. CoRR Ke Li, Shichong Peng, Kailas Vodrahalli, Jitendra Malik
2020	J	`jnl`	DeRF: Decomposed Radiance Fields. CoRR Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi
2020	J	`jnl`	Generating Unobserved Alternatives. CoRR Shichong Peng, Ke Li
2020	—	`conf`	Inclusive GAN: Improving Data and Minority Coverage in Generative Models. ECCV (22) Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz
2020	J	`jnl`	Inclusive GAN: Improving Data and Minority Coverage in Generative Models. CoRR Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz
2020	J	`jnl`	Multimodal Image Synthesis with Conditional Implicit Maximum Likelihood Estimation. CoRR Ke Li, Shichong Peng, Tianhao Zhang, Jitendra Malik
2020	J	`jnl`	Multimodal Image Synthesis with Conditional Implicit Maximum Likelihood Estimation. Int. J. Comput. Vis. Ke Li, Shichong Peng, Tianhao Zhang, Jitendra Malik
2019	—	`—`	Advances in Machine Learning: Nearest Neighbour Search, Learning to Optimize and Generative Modelling. Ke Li
2019	A*	`conf`	Approximate Feature Collisions in Neural Nets. NeurIPS Ke Li, Tianhao Zhang, Jitendra Malik
2019	A*	`conf`	Diverse Image Synthesis From Semantic Layouts via Conditional IMLE. ICCV Ke Li, Tianhao Zhang, Jitendra Malik
2019	A*	`conf`	Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors. CVPR Yedid Hoshen, Ke Li, Jitendra Malik
2019	J	`jnl`	Trajectory Normalized Gradients for Distributed Optimization. CoRR Jianqiao Wangni, Ke Li, Jianbo Shi, Jitendra Malik
2018	J	`jnl`	Are All Training Examples Created Equal? An Empirical Study. CoRR Kailas Vodrahalli, Ke Li, Jitendra Malik
2018	J	`jnl`	Diverse Image Synthesis from Semantic Layouts via Conditional IMLE. CoRR Ke Li, Tianhao Zhang, Jitendra Malik
2018	J	`jnl`	Implicit Maximum Likelihood Estimation. CoRR Ke Li, Jitendra Malik
2018	J	`jnl`	On the Implicit Assumptions of GANs. CoRR Ke Li, Jitendra Malik
2018	J	`jnl`	Super-Resolution via Conditional Implicit Maximum Likelihood Estimation. CoRR Ke Li, Shichong Peng, Jitendra Malik
2017	A*	`conf`	Fast k-Nearest Neighbour Search via Prioritized DCI. ICML Ke Li, Jitendra Malik
2017	J	`jnl`	Fast k-Nearest Neighbour Search via Prioritized DCI. CoRR Ke Li, Jitendra Malik
2017	J	`jnl`	Learning to Optimize Neural Nets. CoRR Ke Li, Jitendra Malik
2017	—	`conf`	Learning to Optimize. ICLR (Poster) Ke Li, Jitendra Malik
2016	—	`conf`	Amodal Instance Segmentation. ECCV (2) Ke Li, Jitendra Malik
2016	J	`jnl`	Amodal Instance Segmentation. CoRR Ke Li, Jitendra Malik
2016	A*	`conf`	Fast k-Nearest Neighbour Search via Dynamic Continuous Indexing. ICML Ke Li, Jitendra Malik
2016	A*	`conf`	Iterative Instance Segmentation. CVPR Ke Li, Bharath Hariharan, Jitendra Malik
2016	J	`jnl`	Learning to Optimize. CoRR Ke Li, Jitendra Malik
2015	J	`jnl`	Bandit Label Inference for Weakly Supervised Learning. CoRR Ke Li, Jitendra Malik
2015	J	`jnl`	Fast k-Nearest Neighbour Search via Dynamic Continuous Indexing. CoRR Ke Li, Jitendra Malik
2015	J	`jnl`	Iterative Instance Segmentation. CoRR Ke Li, Bharath Hariharan, Jitendra Malik