79 citations
- University of AmsterdamNL18 papers
- Qualcomm (United States)US11 papers
- Market MattersUS4 papers
- University of California, IrvineUS4 papers
- Amsterdam University of Applied SciencesNL3 papers
- Amsterdam University of the ArtsNL3 papers
- The University of Texas at AustinUS3 papers
- École Polytechnique Fédérale de LausanneCH2 papers
- Indian Institute of Science BangaloreIN2 papers
- Indian Institute of Technology KanpurIN2 papers
- Intel (United States)US2 papers
- Shandong University of Political Science and LawCN2 papers
8 papers · 1 filter
Automatic Grammar Augmentation for Robust Voice Command Recognition
Yang Yang, Anusha Lalitha, Jinwon Lee +1
This paper proposes a novel pipeline for automatic grammar augmentation that provides a significant improvement in the voice command recognition accuracy for systems with small foo…
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco Cohen, Mario Geiger, Maurice Weiler
We present a general theory of Group equivariant Convolutional Neural Networks (G-CNNs) on homogeneous spaces such as Euclidean space and the sphere. Feature maps in these networks…
A Budget Feasible Peer Graded Mechanism For IoT-Based Crowdsourcing
Vikash Kumar Singh, Sajal Mukhopadhyay, Fatos Xhafa +1
We develop and extend a line of recent works on the design of mechanisms for heterogeneous tasks assignment problem in 'crowdsourcing'. The budgeted market we consider consists of…
Relaxed Quantization for Discretized Neural Networks
Christos Louizos, Matthias Reisser, Tijmen Blankevoort +2
Neural network quantization has become an important research area due to its great impact on deployment of large models on resource constrained devices. In order to train networks…
Video Time: Properties, Encoders and Evaluation
Amir Ghodrati, Efstratios Gavves, Cees G. M. Snoek
Time-aware encoding of frame sequences in a video is a fundamental problem in video understanding. While many attempted to model time in videos, an explicit study on quantifying vi…
BOCK : Bayesian Optimization with Cylindrical Kernels
ChangYong Oh, Efstratios Gavves, Max Welling
A major challenge in Bayesian Optimization is the boundary issue (Swersky, 2017) where an algorithm spends too many evaluations near the boundary of its search space. In this paper…