Carla P. Gomes

发表

Characterizing the Loss Landscape in Non-Negative Matrix Factorization

Kilian Q. Weinberger, Johan Bjorck, Anmol Kabra, 2021, AAAI.

Towards Deeper Deep Reinforcement Learning pdf

Kilian Q. Weinberger, Johan Bjorck, Carla P. Gomes, 2021, ArXiv.

Accelerating Ecological Sciences from Above: Spatial Contrastive Learning for Remote Sensing

Johan Bjorck, Qinru Shi, Angela K. Fuller, 2021, AAAI.

Learning Augmented Methods for Matching: Improving Invasive Species Management and Urban Mobility

Johan Bjorck, Qinru Shi, Angela Fuller, 2021, AAAI.

A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction pdf

Junwen Bai, Carla P. Gomes, Joshua Fan, 2021, AAAI.

Towards Deeper Deep Reinforcement Learning

Kilian Q. Weinberger, Johan Bjorck, Carla P. Gomes, 2021, NeurIPS.

Low-Precision Reinforcement Learning pdf

Christopher De Sa, Kilian Q. Weinberger, Johan Bjorck, 2021, ArXiv.

Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification pdf

Shufeng Kong, Junwen Bai, Carla P. Gomes, 2021, ArXiv.

Is High Variance Unavoidable in RL? A Case Study in Continuous Control pdf

Kilian Q. Weinberger, Johan Bjorck, Carla P. Gomes, 2021, ArXiv.

Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision

Christopher De Sa, Kilian Q. Weinberger, Johan Bjorck, 2021, ICML.

CLR-DRNets: Curriculum Learning with Restarts to Solve Visual Combinatorial Games

Yiwei Bai, Carla P. Gomes, Di Chen, 2021, CP.

Tackling Climate Change with Machine Learning pdf

Yoshua Bengio, Demis Hassabis, David Rolnick, 2019, ACM Comput. Surv..

Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation

Carla P. Gomes, Sebastian Ament, 2022, ICML.

Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification

Carla P. Gomes, Junwen Bai, Shufeng Kong, 2021, ICML.

Monitoring Vegetation From Space at Extremely Fine Resolutions via Coarsely-Supervised Smooth U-Net

Carla P. Gomes, J. Wen, Di Chen, 2022, IJCAI.

HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders

Junwen Bai, Shufeng Kong, Wenting Zhao, 2021, AAAI.

Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction

Carla P. Gomes, Junwen Bai, J. Gregoire, 2023, ArXiv.

Low-Precision Reinforcement Learning

Christopher De Sa, Kilian Q. Weinberger, Carla P. Gomes, 2021, ICML.

Understanding Decoupled and Early Weight Decay pdf

Kilian Q. Weinberger, Johan Bjorck, Kilian Weinberger, 2020, AAAI.

Evaluating Multi-label Classifiers with Noisy Labels pdf

Wenting Zhao, Carla Gomes, Carla P. Gomes, 2021, ArXiv.

Contrastively Disentangled Sequential Variational Autoencoder pdf

Carla Gomes, Junwen Bai, Weiran Wang, 2021, NeurIPS.

Efficient Projection Algorithms onto the Weighted l1 Ball pdf

Michel Barlaud, Carla Gomes, Sebastian Ament, 2020, ArXiv.

On the Optimality of Backward Regression: Sparse Recovery and Subset Selection

Carla Gomes, Carla P. Gomes, Sebatian Ament, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Efficient projection algorithms onto the weighted ℓ1 ball

Carla P. Gomes, M. Barlaud, Sebastian Ament, 2022, Artificial Intelligence.

Is High Variance Unavoidable in RL? A Case Study in Continuous Control

Kilian Q. Weinberger, Carla P. Gomes, Johan Bjorck, 2021, ICLR.

Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation

Jae Hee Lee, Katherine E. Mills, Carla P. Gomes, 2020, IJCAI.