University of Amsterdam

∙ Amsterdam , Netherlands ∙ 0 followers

In Europe and beyond, the Faculty of Social and Behavioural Sciences (FMG) occupies a leading position. The Faculty is the largest educational and research institution in the field of social and behavioural sciences in Europe.

Featured Researchers

Wei Wang
213 publications
Max Welling
120 publications
Maarten de Rijke
93 publications
Shimon Whiteson
58 publications
Ivan Titov
45 publications
Zeynep Akata
42 publications
Cees G. M. Snoek
34 publications
Efstratios Gavves
32 publications
Shaodi You
25 publications
Wei Zeng
23 publications
Christof Monz
23 publications

HyperLearn: A Distributed Approach for Representation Learning in Datasets With Many Modalities

Multimodal datasets contain an enormous amount of relational information...
09/19/2019 ∙ by Devanshu Arya, et al. ∙ 52 ∙ share

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Increasing Expressivity of a Hyperspherical VAE

Learning suitable latent representations for observed, high-dimensional ...
10/07/2019 ∙ by Tim R. Davidson, et al. ∙ 32 ∙ share

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Cooperative Embeddings for Instance, Attribute and Category Retrieval

The goal of this paper is to retrieve an image based on instance, attrib...
04/02/2019 ∙ by William Thong, et al. ∙ 28 ∙ share

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How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking

Attribution methods assess the contribution of inputs (e.g., words) to t...
04/30/2020 ∙ by Nicola De Cao, et al. ∙ 27 ∙ share

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Conditional Image Generation and Manipulation for User-Specified Content

In recent years, Generative Adversarial Networks (GANs) have improved st...
05/11/2020 ∙ by David Stap, et al. ∙ 20 ∙ share

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Learning Likelihoods with Conditional Normalizing Flows

Normalizing Flows (NFs) are able to model complicated distributions p(y)...
11/29/2019 ∙ by Christina Winkler, et al. ∙ 17 ∙ share

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Learning to Rank from Samples of Variable Quality

Training deep neural networks requires many training samples, but in pra...
06/21/2018 ∙ by Mostafa Dehghani, et al. ∙ 16 ∙ share

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VideoGraph: Recognizing Minutes-Long Human Activities in Videos

Many human activities take minutes to unfold. To represent them, related...
05/13/2019 ∙ by Noureldien Hussein, et al. ∙ 16 ∙ share

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Color Constancy by GANs: An Experimental Survey

In this paper, we formulate the color constancy task as an image-to-imag...
12/07/2018 ∙ by Partha Das, et al. ∙ 14 ∙ share

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TimeGate: Conditional Gating of Segments in Long-range Activities

When recognizing a long-range activity, exploring the entire video is ex...
04/03/2020 ∙ by Noureldien Hussein, et al. ∙ 14 ∙ share

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Block Neural Autoregressive Flow

Normalising flows (NFS) map two density functions via a differentiable b...
04/09/2019 ∙ by Nicola De Cao, et al. ∙ 12 ∙ share

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Open Cross-Domain Visual Search

This paper introduces open cross-domain visual search, where categories ...
11/19/2019 ∙ by William Thong, et al. ∙ 12 ∙ share

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SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows

Normalizing flows and variational autoencoders are powerful generative m...
07/06/2020 ∙ by Didrik Nielsen, et al. ∙ 12 ∙ share

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DIVA: Domain Invariant Variational Autoencoders

We consider the problem of domain generalization, namely, how to learn r...
05/24/2019 ∙ by Maximilian Ilse, et al. ∙ 11 ∙ share

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Probabilistic Binary Neural Networks

Low bit-width weights and activations are an effective way of combating ...
09/10/2018 ∙ by Jorn W. T. Peters, et al. ∙ 10 ∙ share

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Feedback Graph Convolutional Network for Skeleton-based Action Recognition

Skeleton-based action recognition has attracted considerable attention i...
03/17/2020 ∙ by Hao Yang, et al. ∙ 10 ∙ share

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High-Performance Long-Term Tracking with Meta-Updater

Long-term visual tracking has drawn increasing attention because it is m...
04/01/2020 ∙ by Kenan Dai, et al. ∙ 10 ∙ share

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The Convolution Exponential and Generalized Sylvester Flows

This paper introduces a new method to build linear flows, by taking the ...
06/02/2020 ∙ by Emiel Hoogeboom, et al. ∙ 10 ∙ share

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RefNet: A Reference-aware Network for Background Based Conversation

Existing conversational systems tend to generate generic responses. Rece...
08/18/2019 ∙ by Chuan Meng, et al. ∙ 9 ∙ share

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Actor-Transformers for Group Activity Recognition

This paper strives to recognize individual actions and group activities ...
03/28/2020 ∙ by Kirill Gavrilyuk, et al. ∙ 9 ∙ share

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Combining Generative and Discriminative Models for Hybrid Inference

A graphical model is a structured representation of the data generating ...
06/06/2019 ∙ by Victor Garcia Satorras, et al. ∙ 8 ∙ share

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A Layer-Based Sequential Framework for Scene Generation with GANs

The visual world we sense, interpret and interact everyday is a complex ...
02/02/2019 ∙ by Mehmet Ozgur Turkoglu, et al. ∙ 7 ∙ share

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Integer Discrete Flows and Lossless Compression

Lossless compression methods shorten the expected representation size of...
05/17/2019 ∙ by Emiel Hoogeboom, et al. ∙ 7 ∙ share

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Universal Transformers

Self-attentive feed-forward sequence models have been shown to achieve i...
07/10/2018 ∙ by Mostafa Dehghani, et al. ∙ 6 ∙ share

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Unsupervised Generation of Optical Flow Datasets from Videos in the Wild

Dense optical flow ground truth of non-rigid motion for real-world image...
12/05/2018 ∙ by Hoang-An Le, et al. ∙ 6 ∙ share

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ShadingNet: Image Intrinsics by Fine-Grained Shading Decomposition

In general, intrinsic image decomposition algorithms interpret shading a...
12/09/2019 ∙ by Anil S. Baslamisli, et al. ∙ 6 ∙ share

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Joint Learning of Intrinsic Images and Semantic Segmentation

Semantic segmentation of outdoor scenes is problematic when there are va...
07/31/2018 ∙ by Anil S. Baslamisli, et al. ∙ 5 ∙ share

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Deep Scale-spaces: Equivariance Over Scale

We introduce deep scale-spaces (DSS), a generalization of convolutional ...
05/28/2019 ∙ by Daniel E. Worrall, et al. ∙ 5 ∙ share

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Learning World Graphs to Accelerate Hierarchical Reinforcement Learning

In many real-world scenarios, an autonomous agent often encounters vario...
07/01/2019 ∙ by Wenling Shang, et al. ∙ 5 ∙ share

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Improving Outfit Recommendation with Co-supervision of Fashion Generation

The task of fashion recommendation includes two main challenges: visual ...
08/24/2019 ∙ by Yujie Lin, et al. ∙ 5 ∙ share

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Social navigation with human empowerment driven reinforcement learning

The next generation of mobile robots needs to be socially-compliant to b...
03/18/2020 ∙ by Tessa van der Heiden, et al. ∙ 5 ∙ share

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Repetition Estimation

Visual repetition is ubiquitous in our world. It appears in human activi...
06/18/2018 ∙ by Tom F. H. Runia, et al. ∙ 4 ∙ share

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The Functional Neural Process

We present a new family of exchangeable stochastic processes, the Functi...
06/19/2019 ∙ by Christos Louizos, et al. ∙ 4 ∙ share

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Message Passing for Complex Question Answering over Knowledge Graphs

Question answering over knowledge graphs (KGQA) has evolved from simple ...
08/19/2019 ∙ by Svitlana Vakulenko, et al. ∙ 4 ∙ share

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SEntNet: Source-aware Recurrent Entity Network for Dialogue Response Selection

Dialogue response selection is an important part of Task-oriented Dialog...
06/16/2019 ∙ by Jiahuan Pei, et al. ∙ 3 ∙ share

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BubbleRank: Safe Online Learning to Rerank

We study the problem of online learning to re-rank, where users provide ...
06/15/2018 ∙ by Branislav Kveton, et al. ∙ 2 ∙ share

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Measuring Semantic Coherence of a Conversation

Conversational systems have become increasingly popular as a way for hum...
06/17/2018 ∙ by Svitlana Vakulenko, et al. ∙ 2 ∙ share

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Textual Explanations for Self-Driving Vehicles

Deep neural perception and control networks have become key components o...
07/30/2018 ∙ by Jinkyu Kim, et al. ∙ 2 ∙ share

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Manipulating Attributes of Natural Scenes via Hallucination

In this study, we explore building a two-stage framework for enabling us...
08/22/2018 ∙ by Levent Karacan, et al. ∙ 2 ∙ share

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Relaxed Quantization for Discretized Neural Networks

Neural network quantization has become an important research area due to...
10/03/2018 ∙ by Christos Louizos, et al. ∙ 2 ∙ share

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Pixelated Semantic Colorization

While many image colorization algorithms have recently shown the capabil...
01/27/2019 ∙ by Jiaojiao Zhao, et al. ∙ 2 ∙ share

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Preferences Implicit in the State of the World

Reinforcement learning (RL) agents optimize only the features specified ...
02/12/2019 ∙ by Rohin Shah, et al. ∙ 2 ∙ share

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Explaining Predictions from Tree-based Boosting Ensembles

Understanding how "black-box" models arrive at their predictions has spa...
07/04/2019 ∙ by Ana Lucic, et al. ∙ 2 ∙ share

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RE-MIMO: Recurrent and Permutation Equivariant Neural MIMO Detection

In this paper, we present a novel neural network for MIMO symbol detecti...
06/30/2020 ∙ by Kumar Pratik, et al. ∙ 2 ∙ share

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CNN based Learning using Reflection and Retinex Models for Intrinsic Image Decomposition

Most of the traditional work on intrinsic image decomposition rely on de...
12/04/2017 ∙ by Anil S. Baslamisli, et al. ∙ 1 ∙ share

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Covariance in Physics and Convolutional Neural Networks

In this proceeding we give an overview of the idea of covariance (or equ...
06/06/2019 ∙ by Miranda C. N. Cheng, et al. ∙ 1 ∙ share

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An Intrinsic Nearest Neighbor Analysis of Neural Machine Translation Architectures

Earlier approaches indirectly studied the information captured by the hi...
07/08/2019 ∙ by Hamidreza Ghader, et al. ∙ 1 ∙ share

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A Modular Task-oriented Dialogue System Using a Neural Mixture-of-Experts

End-to-end Task-oriented Dialogue Systems (TDSs) have attracted a lot of...
07/10/2019 ∙ by Jiahuan Pei, et al. ∙ 1 ∙ share

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Explaining with Counter Visual Attributes and Examples

In this paper, we aim to explain the decisions of neural networks by uti...
01/27/2020 ∙ by Sadaf Gulshad, et al. ∙ 1 ∙ share

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PIC: Permutation Invariant Convolution for Recognizing Long-range Activities

Neural operations as convolutions, self-attention, and vector aggregatio...
03/18/2020 ∙ by Noureldien Hussein, et al. ∙ 1 ∙ share

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