Niv Haim
7 papers · 2019–2023 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(17)
🐣
Hot Topic Early Bird
🏆
Keyword Champion
Venues
Top co-authors
Research topics
Deep Learning
(5)
Machine Learning
(5)
Core Methods
(4)
Architectures
(3)
Optimization & Theory · Machine Learning
(3)
Computer Vision
(2)
Application Areas
(2)
Artificial Intelligence
(1)
Core AI · Computer Vision
(1)
Core AI · Artificial Intelligence
(1)
Generation
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
point cloud
(2)
neural network
(2)
data reconstruction
(2)
video generation
(1)
video prediction
(1)
geometric deep learning
(1)
surface reconstruction
(1)
multi-class classification
(1)
shape reconstruction
(1)
implicit neural representation
(1)
diffusion model
(1)
convolutional neural network
(1)
implicit bia
(1)
decision boundary
(1)
weight decay
(1)
gradient-based training
(1)
motion dynamics
(1)
neural network classifier
(1)
membership inference attack
(1)
training data reconstruction
(1)
Papers
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses
NeurIPS 2023
SinFusion: Training Diffusion Models on a Single Image or Video
ICML 2023
Diverse Generation from a Single Video Made Possible
ECCV 2022
Reconstructing Training Data From Trained Neural Networks
NeurIPS 2022
Implicit Geometric Regularization for Learning Shapes
ICML 2020
Controlling Neural Level Sets
NeurIPS 2019
Surface Networks via General Covers
ICCV 2019