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08/30/2023
Learning Diverse Features in Vision Transformers for Improved Generalization
Deep learning models often rely only on a small set of features even whe...
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05/25/2023
Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder
Composed image retrieval aims to find an image that best matches a given...
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05/21/2023
A Symbolic Framework for Systematic Evaluation of Mathematical Reasoning with Transformers
Whether Transformers can learn to apply symbolic rules and generalise to...
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03/29/2023
Bi-directional Training for Composed Image Retrieval via Text Prompt Learning
Composed image retrieval searches for a target image based on a multi-mo...
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11/04/2022
SelecMix: Debiased Learning by Contradicting-pair Sampling
Neural networks trained with ERM (empirical risk minimization) sometimes...
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08/09/2021
Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models
We extend the task of composed image retrieval, where an input query con...
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04/07/2021
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering
We introduce an evaluation methodology for visual question answering (VQ...
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01/15/2021
Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge
The limits of applicability of vision-and-language models are defined by...
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05/04/2020
Visual Question Answering with Prior Class Semantics
We present a novel mechanism to embed prior knowledge in a model for vis...
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04/20/2020
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision
One of the primary challenges limiting the applicability of deep learnin...
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09/30/2019
On Incorporating Semantic Prior Knowlegde in Deep Learning Through Embedding-Space Constraints
The knowledge that humans hold about a problem often extends far beyond ...
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07/29/2019
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices
One of the primary challenges faced by deep learning is the degree to wh...
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04/05/2019
Actively Seeking and Learning from Live Data
One of the key limitations of traditional machine learning methods is th...
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11/22/2017
Visual Question Answering as a Meta Learning Task
The predominant approach to Visual Question Answering (VQA) demands that...
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11/20/2017
Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments
A robot that can carry out a natural-language instruction has been a dre...
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08/09/2017
Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge
This paper presents a state-of-the-art model for visual question answeri...
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07/25/2017
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
Top-down visual attention mechanisms have been used extensively in image...
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11/17/2016
Zero-Shot Visual Question Answering
Part of the appeal of Visual Question Answering (VQA) is its promise to ...
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09/19/2016
Graph-Structured Representations for Visual Question Answering
This paper proposes to improve visual question answering (VQA) with stru...
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01/27/2016