Pau Rodríguez

Orcid: 0000-0002-1689-8084

According to our database1, Pau Rodríguez authored at least 68 papers between 2016 and 2024.

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Bibliography

2024
Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies.
CoRR, 2024

Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
A Survey of Self-Supervised and Few-Shot Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Explaining Visual Counterfactual Explainers.
Trans. Mach. Learn. Res., 2023

Workflow Discovery from Dialogues in the Low Data Regime.
Trans. Mach. Learn. Res., 2023

Single image super-resolution based on directional variance attention network.
Pattern Recognit., 2023

StarVector: Generating Scalable Vector Graphics Code from Images.
CoRR, 2023

Continual Learning of Diffusion Models with Generative Distillation.
CoRR, 2023

OC-NMN: Object-centric Compositional Neural Module Network for Generative Visual Analogical Reasoning.
CoRR, 2023

Robust multimodal models have outlier features and encode more concepts.
CoRR, 2023

Long-Context Language Decision Transformers and Exponential Tilt for Interactive Text Environments.
CoRR, 2023

OCR-VQGAN: Taming Text-within-Image Generation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Group Robust Classification Without Any Group Information.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GEO-Bench: Toward Foundation Models for Earth Monitoring.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DeepPCR: Parallelizing Sequential Operations in Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning.
Proceedings of the International Conference on Machine Learning, 2023

FigGen: Text to Scientific Figure Generation.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Constraining Representations Yields Models That Know What They Don't Know.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Challenging Common Assumptions about Catastrophic Forgetting and Knowledge Accumulation.
Proceedings of the Conference on Lifelong Learning Agents, 2023

From IID to the Independent Mechanisms assumption in continual learning.
Proceedings of the AAAI Bridge Program on Continual Causality, 2023

2022
Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification.
IEEE Trans. Cybern., 2022

A Closer Look at Embedding Propagation for Manifold Smoothing.
J. Mach. Learn. Res., 2022

3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding.
CoRR, 2022

CADet: Fully Self-Supervised Anomaly Detection With Contrastive Learning.
CoRR, 2022

Scaling the Number of Tasks in Continual Learning.
CoRR, 2022

Foundational Models for Continual Learning: An Empirical Study of Latent Replay.
CoRR, 2022

Challenges in leveraging GANs for few-shot data augmentation.
CoRR, 2022

CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions.
Artif. Intell., 2022

Frequency-Based Enhancement Network for Efficient Super-Resolution.
IEEE Access, 2022

Multi-label Iterated Learning for Image Classification with Label Ambiguity.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Continual Learning with Foundation Models: An Empirical Study of Latent Replay.
Proceedings of the Conference on Lifelong Learning Agents, 2022

Overcoming challenges in leveraging GANs for few-shot data augmentation.
Proceedings of the Conference on Lifelong Learning Agents, 2022

Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA.
Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

Consistency-CAM: Towards Improved Weakly Supervised Semantic Segmentation.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Data Augmentation for Intent Classification with Off-the-shelf Large Language Models.
Proceedings of the 4th Workshop on NLP for Conversational AI, 2022

2021
Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark.
CoRR, 2021

Sequoia: A Software Framework to Unify Continual Learning Research.
CoRR, 2021

Discovering Latent Causal Variables via Mechanism Sparsity: A New Principle for Nonlinear ICA.
CoRR, 2021

Can Active Learning Preemptively Mitigate Fairness Issues?
CoRR, 2021

Logo Detection With No Priors.
IEEE Access, 2021

A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Continual Learning via Local Module Composition.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Pay Attention to the Activations: A Modular Attention Mechanism for Fine-Grained Image Recognition.
IEEE Trans. Multim., 2020

Hierarchical Residual Attention Network for Single Image Super-Resolution.
CoRR, 2020

Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery.
CoRR, 2020

Affinity LCFCN: Learning to Segment Fish with Weak Supervision.
CoRR, 2020

A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images.
CoRR, 2020

Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning.
CoRR, 2020

Synbols: Probing Learning Algorithms with Synthetic Datasets.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Looc: Localize Overlapping Objects with Count Supervision.
Proceedings of the IEEE International Conference on Image Processing, 2020

Embedding Propagation: Smoother Manifold for Few-Shot Classification.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Towards robust neural models for fine-grained image recognition.
PhD thesis, 2019

Catastrophic Interference in Disguised Face Recognition.
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

2018
Beyond one-hot encoding: Lower dimensional target embedding.
Image Vis. Comput., 2018

PRAXIS: Towards automatic cognitive assessment using gesture recognition.
Expert Syst. Appl., 2018

Deep Inference of Personality Traits by Integrating Image and Word Use in Social Networks.
CoRR, 2018

TADAM: Task dependent adaptive metric for improved few-shot learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Age and gender recognition in the wild with deep attention.
Pattern Recognit., 2017

Regularizing CNNs with Locally Constrained Decorrelations.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Spatio-temporal Pain Recognition in CNN-Based Super-Resolved Facial Images.
Proceedings of the Video Analytics. Face and Facial Expression Recognition and Audience Measurement, 2016


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