Damien Teney

Jindong Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Neural Redshift: Random Networks are not Random Functions.

[BibT_eX]

[DOI]

Valentin Hartmann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Zero-shot Retrieval: Augmenting Pre-trained Models with Search Engines.

[BibT_eX]

[DOI]

Hamed Damirchi

Cristian Rodriguez Opazo

CoRR, 2023

Shortcut Bias Mitigation via Ensemble Diversity Using Diffusion Probabilistic Models.

[BibT_eX]

[DOI]

Yoshua Bengio

CoRR, 2023

ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Leveraging Diffusion Disentangled Representations to Mitigate Shortcuts in Underspecified Visual Tasks.

[BibT_eX]

[DOI]

Luca Scimeca

Alexander Rubinstein

Yoshua Bengio

CoRR, 2023

Learning Diverse Features in Vision Transformers for Improved Generalization.

[BibT_eX]

[DOI]

Andrei Liviu Nicolicioiu

Bogdan Alexe

CoRR, 2023

A Symbolic Framework for Systematic Evaluation of Mathematical Reasoning with Transformers.

[BibT_eX]

[DOI]

CoRR, 2023

ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering.

[BibT_eX]

[DOI]

CoRR, 2022

SelecMix: Debiased Learning by Contradicting-pair Sampling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning.

[BibT_eX]

[DOI]

Maxime Peyrard

Proceedings of the Computer Vision - ECCV 2022, 2022

Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Active Learning by Feature Mixing.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Vision-Language Pretraining: Current Trends and the Future.

[BibT_eX]

[DOI]

Aishwarya Agrawal

Aida Nematzadeh

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021

Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge.

[BibT_eX]

[DOI]

CoRR, 2021

Unshuffling Data for Improved Generalization in Visual Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models.

[BibT_eX]

[DOI]

Zheyuan Liu

Cristian Rodriguez Opazo

Stephen Gould

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Visual Question Answering with Prior Class Semantics.

[BibT_eX]

[DOI]

CoRR, 2020

Unshuffling Data for Improved Generalization.

[BibT_eX]

[DOI]

CoRR, 2020

On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Counterfactual Vision-and-Language Navigation: Unravelling the Unseen.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Medical Data Inquiry Using a Question Answering Model.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Counterfactual Vision and Language Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

On Incorporating Semantic Prior Knowlegde in Deep Learning Through Embedding-Space Constraints.

[BibT_eX]

[DOI]

CoRR, 2019

Actively Seeking and Learning From Live Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Visual Question Answering as a Meta Learning Task.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Visual Question Answering: A Tutorial.

[BibT_eX]

[DOI]

Qi Wu

IEEE Signal Process. Mag., 2017

Visual question answering: A survey of methods and datasets.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2017

Bottom-Up and Top-Down Attention for Image Captioning and VQA.

[BibT_eX]

[DOI]

CoRR, 2017

Graph-Structured Representations for Visual Question Answering.

[BibT_eX]

[DOI]

Lingqiao Liu

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Zero-Shot Visual Question Answering.

[BibT_eX]

[DOI]

CoRR, 2016

Learning to Extract Motion from Videos in Convolutional Neural Networks.

[BibT_eX]

[DOI]

Martial Hebert

Proceedings of the Computer Vision - ACCV 2016, 2016

2015

A hierarchical Bayesian network for face recognition using 2D and 3D facial data.

[BibT_eX]

[DOI]

Iman Abbasnejad

Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Hand parsing for fine-grained recognition of human grasps in monocular images.

[BibT_eX]

[DOI]

Akanksha Saran

Kris M. Kitani

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Learning similarity metrics for dynamic scene segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Multiview feature distributions for object detection and continuous pose estimation.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2014

Segmentation of Dynamic Scenes with Distributions of Spatiotemporally Oriented Energies.

[BibT_eX]

[DOI]

Matthew Brown

Proceedings of the British Machine Vision Conference, 2014

2013

Probabilistic Models of Visual Appearance For Object Identity, Class, and Pose Inference.

[BibT_eX]

[DOI]

PhD thesis, 2013

Modeling Pose/Appearance Relations for Improved Object Localization and Pose Estimation in 2D images.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

Continuous Pose Estimation in 2D Images at Instance and Category Levels.

[BibT_eX]

[DOI]

Proceedings of the Tenth Conference on Computer and Robot Vision, 2013

2012

Generalized Exemplar-Based Full Pose Estimation from 2D Images without Correspondences.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012

Sampling-Based Multiview Reconstruction without Correspondences for 3D Edges.

[BibT_eX]

[DOI]

Proceedings of the 2012 Second International Conference on 3D Imaging, 2012

2011

Probabilistic Object Models for Pose Estimation in 2D Images.

[BibT_eX]

[DOI]