Carla Gomes
16 papers · 2013–2024 · 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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πΊοΈ Taxonomy Completionist (50) π Academic Marathon Β· Half π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Keyword Pioneer
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Trend Setter
π
Century Club Β· Bronze
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Prolific Year Β· Productive
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Renaissance Researcher
(7)
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Conference Pioneer
ποΈ
Keyword Collector
(84)
Top co-authors
Research topics
Machine Learning
(13)
Deep Learning
(8)
Core Methods
(7)
Learning Types Β· Machine Learning
(6)
Mathematics & Optimization
(5)
Optimization
(5)
Optimization & Theory
(5)
Artificial Intelligence
(3)
Computer Vision
(3)
Domain-Specific
(3)
Learning Types Β· Deep Learning
(3)
Models
(3)
Architectures
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Keywords
combinatorial optimization
(3)
multi-label classification
(3)
multivariate probit model
(3)
remote sensing
(2)
discrete integration
(2)
representation learning
(2)
variational autoencoder
(2)
gradient descent
(2)
label correlation
(2)
computational sustainability
(2)
contrastive learning
(2)
curriculum learning
(1)
probabilistic inference
(1)
automated planning
(1)
feature extraction
(1)
dimensionality reduction
(1)
active learning
(1)
variational inference
(1)
deep learning
(1)
image segmentation
(1)
Papers
ILP-FORMER: Solving Integer Linear Programming with Sequence to Multi-Label Learning
UAI 2024
Monitoring Vegetation From Space at Extremely Fine Resolutions via Coarsely-Supervised Smooth U-Net
IJCAI 2022
Accelerating Ecological Sciences from Above: Spatial Contrastive Learning for Remote Sensing
AAAI 2021
Characterizing the Loss Landscape in Non-Negative Matrix Factorization
AAAI 2021
EeLISA: Combating Global Warming Through the Rapid Analysis of Eelgrass Wasting Disease
AAAI 2021
HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders
AAAI 2021
Learning Augmented Methods for Matching: Improving Invasive Species Management and Urban Mobility
AAAI 2021
Understanding Decoupled and Early Weight Decay
AAAI 2021
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation
IJCAI 2020
Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning
ICML 2020
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model
IJCAI 2020
Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning
IJCAI 2020
Task-Based Learning via Task-Oriented Prediction Network with Applications in Finance
IJCAI 2020
End-to-End Learning for the Deep Multivariate Probit Model
ICML 2018
Low-density Parity Constraints for Hashing-Based Discrete Integration
ICML 2014
Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization
ICML 2013