Kayvon Fatahalian
15 papers · 2018–2024 · 9 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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πΊοΈ Taxonomy Completionist (34) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Grand Slam
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Prolific Year Β· Productive
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Renaissance Researcher
(5)
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Keyword Collector
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Top co-authors
Research topics
Machine Learning
(12)
Learning Types Β· Machine Learning
(9)
Application Areas
(7)
Deep Learning
(5)
Computer Vision
(4)
Core Methods
(4)
Artificial Intelligence
(3)
Learning Paradigms
(3)
Learning Types Β· Deep Learning
(3)
Processing
(3)
Analysis
(2)
Models
(2)
Computer Science
(1)
Healthcare & Medicine
(1)
Reinforcement Learning
(1)
Keywords
weak supervision
(3)
probabilistic label
(2)
semi-supervised learning
(2)
efficient inference
(2)
representation learning
(2)
diffusion model
(2)
active learning
(2)
semantic segmentation
(1)
stochastic gradient descent
(1)
deep reinforcement learning
(1)
image generation
(1)
domain generalization
(1)
transfer learning
(1)
domain adaptation
(1)
action recognition
(1)
weakly supervised learning
(1)
few-shot learning
(1)
video classification
(1)
parameter estimation
(1)
embedding space
(1)
Papers
Collage Diffusion
WACV 2024
Learning Subject-Aware Cropping by Outpainting Professional Photos
AAAI 2024
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning
ICML 2022
Shoring up the foundations: fusing model embeddings and weak supervision
UAI 2022
"Spotting Temporally Precise, Fine-Grained Events in Video"
ECCV 2022
Background Splitting: Finding Rare Classes in a Sea of Background
CVPR 2021
Large Batch Simulation for Deep Reinforcement Learning
ICLR 2021
Learning Rare Category Classifiers on a Tight Labeling Budget
ICCV 2021
Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories
ICCV 2021
Mandoline: Model Evaluation under Distribution Shift
ICML 2021
Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition
ICCV 2021
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods
ICML 2020
Multi-Resolution Weak Supervision for Sequential Data
NeurIPS 2019
Online Model Distillation for Efficient Video Inference
ICCV 2019
HydraNets: Specialized Dynamic Architectures for Efficient Inference
CVPR 2018