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10/19/2022
Scene Text Recognition with Semantics
Scene Text Recognition (STR) models have achieved high performance in re...
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10/10/2022
Contrastive Video-Language Learning with Fine-grained Frame Sampling
Despite recent progress in video and language representation learning, t...
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04/29/2022
Logically Consistent Adversarial Attacks for Soft Theorem Provers
Recent efforts within the AI community have yielded impressive results t...
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10/15/2021
Guiding Visual Question Generation
In traditional Visual Question Generation (VQG), most images have multip...
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05/11/2021
Cross-Modal Generative Augmentation for Visual Question Answering
Data augmentation is an approach that can effectively improve the perfor...
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02/22/2021
Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation
This paper addresses the problem of simultaneous machine translation (Si...
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01/16/2021
Latent Variable Models for Visual Question Answering
Conventional models for Visual Question Answering (VQA) explore determin...
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11/19/2020
Watch and Learn: Mapping Language and Noisy Real-world Videos with Self-supervision
In this paper, we teach machines to understand visuals and natural langu...
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03/04/2019
Selective Sensor Fusion for Neural Visual-Inertial Odometry
Deep learning approaches for Visual-Inertial Odometry (VIO) have proven ...
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11/27/2018
Learning with Stochastic Guidance for Navigation
Due to the sparse rewards and high degree of environment variation, rein...
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10/04/2018
Transferring Physical Motion Between Domains for Neural Inertial Tracking
Inertial information processing plays a pivotal role in ego-motion aware...
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09/07/2018
Neural Allocentric Intuitive Physics Prediction from Real Videos
Humans are able to make rich predictions about the future dynamics of ph...
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08/12/2017
Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation
Matrix factorization has now become a dominant solution for personalized...
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06/01/2017
Discovering Discrete Latent Topics with Neural Variational Inference
Topic models have been widely explored as probabilistic generative model...
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05/29/2017
Latent Intention Dialogue Models
Developing a dialogue agent that is capable of making autonomous decisio...
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09/23/2016
Language as a Latent Variable: Discrete Generative Models for Sentence Compression
In this work we explore deep generative models of text in which the late...
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11/19/2015
Neural Variational Inference for Text Processing
Recent advances in neural variational inference have spawned a renaissan...
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12/22/2014