CDGAN: Cyclic Discriminative Generative Adversarial Networks for Image-to-Image Transformation. (arXiv:2001.05489v1 [cs.CV])

Modeling and solving the multimodal car- and ride-sharing problem. (arXiv:2001.05490v1 [cs.AI])

Outlier Detection Ensemble with Embedded Feature Selection. (arXiv:2001.05492v1 [cs.LG])

AggressionNet: Generalised Multi-Modal Deep Temporal and Sequential Learning for Aggression Identification. (arXiv:2001.05493v1 [cs.CL])

Learning a Latent Space of Style-Aware Symbolic Music Representations by Adversarial Autoencoders. (arXiv:2001.05494v1 [cs.SD])

Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations. (arXiv:2001.05495v1 [cs.CL])

Noise-tolerant, Reliable Active Classification with Comparison Queries. (arXiv:2001.05497v1 [cs.LG])

The Penetration of Internet of Things in Robotics: Towards a Web of Robotic Things. (arXiv:2001.05514v1 [cs.RO])

Personalized Activity Recognition with Deep Triplet Embeddings. (arXiv:2001.05517v1 [stat.ML])

Fast large-scale boundary element algorithms. (arXiv:2001.05523v1 [math.NA])

Modeling Product Search Relevance in e-Commerce. (arXiv:2001.04980v1 [cs.IR])

Unifying Training and Inference for Panoptic Segmentation. (arXiv:2001.04982v1 [cs.CV])

Total Deep Variation for Linear Inverse Problems. (arXiv:2001.05005v1 [math.OC])

A smile I could recognise in a thousand: Automatic identification of identity from dental radiography. (arXiv:2001.05006v1 [cs.CV])

A Content-Based Deep Intrusion Detection System. (arXiv:2001.05009v1 [cs.NI])

PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning. (arXiv:2001.05012v1 [cs.LG])

Assurance Monitoring of Cyber-Physical Systems with Machine Learning Components. (arXiv:2001.05014v1 [cs.LG])

Weighted Completion Time Minimization for Unrelated Machines via Iterative Fair Contention Resolution. (arXiv:2001.05015v1 [cs.DS])

Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer. (arXiv:2001.05017v1 [cs.CV])

Show more
QOTO Mastodon

QOTO: Question Others to Teach Ourselves. A STEM-oriented instance.

No hate, No censorship. Be kind, be respectful

We federate with all servers: we don't block any servers.