University of Amsterdam

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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.

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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Physics-based Shading Reconstruction for Intrinsic Image Decomposition

We investigate the use of photometric invariance and deep learning to co...
09/03/2020 ∙ by Anil S. Baslamisli, et al. ∙ 13 ∙ 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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PointMixup: Augmentation for Point Clouds

This paper introduces data augmentation for point clouds by interpolatio...
08/14/2020 ∙ by Yunlu Chen, 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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Experimental design for MRI by greedy policy search

In today's clinical practice, magnetic resonance imaging (MRI) is routin...
10/30/2020 ∙ by Tim Bakker, 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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Analysing the Effect of Clarifying Questions on Document Ranking in Conversational Search

Recent research on conversational search highlights the importance of mi...
08/09/2020 ∙ by Antonios Minas Krasakis, 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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3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data

We present a convolutional network that is equivariant to rigid body mot...
07/06/2018 ∙ by Maurice Weiler, et al. ∙ 1 ∙ share

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