Hyunjik Kim
15 papers · 2016–2025 · 7 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (32)
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Topic Evolution
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(74)
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Century Club Β· Bronze
π₯
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Conference Pioneer
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Research topics
Machine Learning
(14)
Deep Learning
(10)
Learning Types
(6)
Optimization & Theory Β· Machine Learning
(6)
Artificial Intelligence
(5)
Core Methods
(5)
Architectures
(4)
Models
(4)
Computer Vision
(3)
Core AI
(3)
Learning Paradigms
(2)
Optimization & Theory Β· Deep Learning
(2)
Processing
(2)
Computer Science
(1)
Mathematics & Optimization
(1)
Keywords
representation learning
(3)
neural network
(3)
gaussian process
(2)
image compression
(2)
group equivariance
(2)
unsupervised learning
(2)
variational inference
(2)
model selection
(1)
video generation
(1)
adversarial robustness
(1)
curriculum learning
(1)
video prediction
(1)
self-supervised learning
(1)
attention mechanism
(1)
function approximation
(1)
image reconstruction
(1)
model fitting
(1)
graph theory
(1)
language modeling
(1)
data augmentation
(1)
Papers
Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion
CVPR 2025
C3: High-Performance and Low-Complexity Neural Compression from a Single Image or Video
CVPR 2024
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search
IJCAI 2024
Learning Instance-Specific Augmentations by Capturing Local Invariances
ICML 2023
Pre-training via Denoising for Molecular Property Prediction
ICLR 2023
From data to functa: Your data point is a function and you can treat it like one
ICML 2022
Group Equivariant Subsampling
NeurIPS 2021
LieTransformer: Equivariant Self-Attention for Lie Groups
ICML 2021
The Lipschitz Constant of Self-Attention
ICML 2021
MetaFun: Meta-Learning with Iterative Functional Updates
ICML 2020
Attentive Neural Processes
ICLR 2019
Disentangling by Factorising
ICML 2018
Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes
AISTATS 2018
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
NeurIPS 2018
Scalable Structure Discovery in Regression using Gaussian Processes
AutoML 2016