Amazon

∙ Seattle , United Kingdom ∙ 0 followers

Amazon.co.uk, Inc., is an American multinational technology company based in Seattle, Washington that focuses on e-commerce, cloud computing, digital streaming and artificial intelligence.

Featured Researchers

Yang Liu
344 publications
Yu Zhang
222 publications
Wei Zhang
207 publications
Rui Wang
176 publications
Jianfeng Gao
153 publications
Li Zhang
131 publications
Yi Zhang
128 publications
Jie Yang
108 publications
Anima Anandkumar
106 publications
Zheng Zhang
104 publications
Jiawei Zhang
85 publications

Synthetic Data for Model Selection

Recent improvements in synthetic data generation make it possible to pro...
05/03/2021 ∙ by Matan Fintz, et al. ∙ 194 ∙ share

read it
P3O: Policy-on Policy-off Policy Optimization

On-policy reinforcement learning (RL) algorithms have high sample comple...
05/05/2019 ∙ by Rasool Fakoor, et al. ∙ 36 ∙ share

read it
Continual Universal Object Detection

Object detection has improved significantly in recent years on multiple ...
02/13/2020 ∙ by Xialei Liu, et al. ∙ 33 ∙ share

read it
Fair Bayesian Optimization

Given the increasing importance of machine learning (ML) in our lives, a...
06/09/2020 ∙ by Valerio Perrone, et al. ∙ 31 ∙ share

read it
Action recognition with spatial-temporal discriminative filter banks

Action recognition has seen a dramatic performance improvement in the la...
08/20/2019 ∙ by Brais Martinez, et al. ∙ 26 ∙ share

read it
SAVEHR: Self Attention Vector Representations for EHR based Personalized Chronic Disease Onset Prediction and Interpretability

Chronic disease progression is emerging as an important area of investme...
11/13/2019 ∙ by Sunil Mallya, et al. ∙ 26 ∙ share

read it
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations

We present a novel model called OCGAN for the classical problem of one-c...
03/20/2019 ∙ by Pramuditha Perera, et al. ∙ 22 ∙ share

read it
Region Proposal by Guided Anchoring

Region anchors are the cornerstone of modern object detection techniques...
01/10/2019 ∙ by Jiaqi Wang, et al. ∙ 20 ∙ share

read it
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Neural Networks

We explore the problem of selectively forgetting a particular set of dat...
11/12/2019 ∙ by Aditya Golatkar, et al. ∙ 20 ∙ share

read it
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals

Given multiple input signals, how can we infer node importance in a know...
06/22/2020 ∙ by Namyong Park, et al. ∙ 20 ∙ share

read it
Scale-Aware Attention Network for Crowd Counting

In crowd counting datasets, people appear at different scales, depending...
01/17/2019 ∙ by Rahul Rama Varior, et al. ∙ 17 ∙ share

read it
Incremental Learning for Metric-Based Meta-Learners

Majority of the modern meta-learning methods for few-shot classification...
02/11/2020 ∙ by Qing Liu, et al. ∙ 17 ∙ share

read it
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications

Trained on large datasets, deep learning (DL) can accurately classify vi...
03/03/2020 ∙ by Biagio Brattoli, et al. ∙ 17 ∙ share

read it
Scalable Logo Recognition using Proxies

Logo recognition is the task of identifying and classifying logos. Logo ...
11/19/2018 ∙ by Istvan Fehervari, et al. ∙ 16 ∙ share

read it
Language Models with Transformers

The Transformer architecture is superior to RNN-based models in computat...
04/20/2019 ∙ by Chenguang Wang, et al. ∙ 16 ∙ share

read it
A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection

Microblogging platforms such as Twitter are increasingly being used in e...
12/02/2019 ∙ by Akansha Bhardwaj, et al. ∙ 16 ∙ share

read it
From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap

Dialogue state tracking (DST) is at the heart of task-oriented dialogue ...
04/13/2020 ∙ by Shuyang Gao, et al. ∙ 16 ∙ share

read it
Towards classification parity across cohorts

Recently, there has been a lot of interest in ensuring algorithmic fairn...
05/16/2020 ∙ by Aarsh Patel, et al. ∙ 16 ∙ share

read it
Mixed-Privacy Forgetting in Deep Networks

We show that the influence of a subset of the training samples can be re...
12/24/2020 ∙ by Aditya Golatkar, et al. ∙ 16 ∙ share

read it
TextTubes for Detecting Curved Text in the Wild

We present a detector for curved text in natural images. We model scene ...
12/19/2019 ∙ by Joël Seytre, et al. ∙ 15 ∙ share

read it
MT-BioNER: Multi-task Learning for Biomedical Named Entity Recognition using Deep Bidirectional Transformers

Conversational agents such as Cortana, Alexa and Siri are continuously w...
01/24/2020 ∙ by Muhammad Raza Khan, et al. ∙ 15 ∙ share

read it
Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering

Healthcare question answering assistance aims to provide customer health...
08/06/2020 ∙ by Ye Liu, et al. ∙ 15 ∙ share

read it
Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation

Direct prediction of 3D body pose and shape remains a challenge even for...
08/17/2018 ∙ by Mohamed Omran, et al. ∙ 14 ∙ share

read it
Differentially Private Consensus-Based Distributed Optimization

Data privacy is an important concern in learning, when datasets contain ...
03/19/2019 ∙ by Mehrdad Showkatbakhsh, et al. ∙ 14 ∙ share

read it
FACSIMILE: Fast and Accurate Scans From an Image in Less Than a Second

Current methods for body shape estimation either lack detail or require ...
09/02/2019 ∙ by David Smith, et al. ∙ 14 ∙ share

read it
SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction

Open relation extraction is the task of extracting open-domain relation ...
04/06/2020 ∙ by Xuming Hu, et al. ∙ 14 ∙ share

read it
Unifying Homophily and Heterophily Network Transformation via Motifs

Higher-order proximity (HOP) is fundamental for most network embedding m...
12/21/2020 ∙ by Yan Ge, et al. ∙ 14 ∙ share

read it
Recognizing Variables from their Data via Deep Embeddings of Distributions

A key obstacle in automated analytics and meta-learning is the inability...
09/11/2019 ∙ by Jonas Mueller, et al. ∙ 13 ∙ share

read it
Can Adversarial Weight Perturbations Inject Neural Backdoors?

Adversarial machine learning has exposed several security hazards of neu...
08/04/2020 ∙ by Siddhant Garg, et al. ∙ 13 ∙ share

read it
Imitation-Regularized Offline Learning

We study the problem of offline learning in automated decision systems u...
01/15/2019 ∙ by Yifei Ma, et al. ∙ 12 ∙ share

read it
Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources

With an increasing demand for training powers for deep learning algorith...
04/26/2019 ∙ by Haibin Lin, et al. ∙ 12 ∙ share

read it
A Linear Bandit for Seasonal Environments

Contextual bandit algorithms are extremely popular and widely used in re...
04/28/2020 ∙ by Giuseppe Di Benedetto, et al. ∙ 12 ∙ share

read it
Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access

Most prior work on task-oriented dialogue systems are restricted to a li...
06/05/2020 ∙ by Seokhwan Kim, et al. ∙ 12 ∙ share

read it
SelfNorm and CrossNorm for Out-of-Distribution Robustness

Normalization techniques are crucial in stabilizing and accelerating the...
02/04/2021 ∙ by Zhiqiang Tang, et al. ∙ 12 ∙ share

read it
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering

BERT model has been successfully applied to open-domain QA tasks. Howeve...
08/22/2019 ∙ by Zhiguo Wang, et al. ∙ 11 ∙ share

read it
Weakly Supervised Energy-Based Learning for Action Segmentation

This paper is about labeling video frames with action classes under weak...
09/28/2019 ∙ by Jun Li, et al. ∙ 11 ∙ share

read it
Large Scale Open-Set Deep Logo Detection

We present an open-set logo detection (OSLD) system, which can detect (l...
11/18/2019 ∙ by Muhammet Bastan, et al. ∙ 11 ∙ share

read it
Words aren't enough, their order matters: On the Robustness of Grounding Visual Referring Expressions

Visual referring expression recognition is a challenging task that requi...
05/04/2020 ∙ by Arjun R Akula, et al. ∙ 11 ∙ share

read it
Coupled Recurrent Models for Polyphonic Music Composition

This work describes a novel recurrent model for music composition, which...
11/20/2018 ∙ by John Thickstun, et al. ∙ 10 ∙ share

read it
Task2Vec: Task Embedding for Meta-Learning

We introduce a method to provide vectorial representations of visual cla...
02/10/2019 ∙ by Alessandro Achille, et al. ∙ 10 ∙ share

read it
Communication-efficient distributed SGD with Sketching

Large-scale distributed training of neural networks is often limited by ...
03/12/2019 ∙ by Nikita Ivkin, et al. ∙ 10 ∙ share

read it
Policy-Driven Neural Response Generation for Knowledge-Grounded Dialogue Systems

Open-domain dialogue systems aim to generate relevant, informative and e...
05/26/2020 ∙ by Behnam Hedayatnia, et al. ∙ 10 ∙ share

read it
HyperStream: a Workflow Engine for Streaming Data

This paper describes HyperStream, a large-scale, flexible and robust sof...
08/07/2019 ∙ by Tom Diethe, et al. ∙ 9 ∙ share

read it
A Baseline for Few-Shot Image Classification

Fine-tuning a deep network trained with the standard cross-entropy loss ...
09/06/2019 ∙ by Guneet S. Dhillon, et al. ∙ 9 ∙ share

read it
Acoustic scene analysis with multi-head attention networks

Acoustic Scene Classification (ASC) is a challenging task, as a single s...
09/16/2019 ∙ by Weimin Wang, et al. ∙ 9 ∙ share

read it
Toward Understanding Catastrophic Forgetting in Continual Learning

We study the relationship between catastrophic forgetting and properties...
08/02/2019 ∙ by Cuong V. Nguyen, et al. ∙ 8 ∙ share

read it
GANMEX: One-vs-One Attributions using GAN-based Model Explainability

Attribution methods have been shown as promising approaches for identify...
11/11/2020 ∙ by Sheng-Min Shih, et al. ∙ 8 ∙ share

read it
Visual Composite Set Detection Using Part-and-Sum Transformers

Computer vision applications such as visual relationship detection and h...
05/05/2021 ∙ by Qi Dong, et al. ∙ 8 ∙ share

read it
Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking

Counterfactual thinking describes a psychological phenomenon that people...
08/13/2019 ∙ by Yue Wang, et al. ∙ 7 ∙ share

read it
Robustness to Capitalization Errors in Named Entity Recognition

Robustness to capitalization errors is a highly desirable characteristic...
11/13/2019 ∙ by Sravan Bodapati, et al. ∙ 7 ∙ share

read it