Exploring vestibulo-ocular adaptation in a closed-loop neuro-robotic experiment using STDP. A simulation study. Neuroevolution of Self-Interpretable Agents. Teddy: A System for Interactive Review Analysis. Multilinear Compressive Learning with Prior Knowledge. Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution. Weak Supe …

Many-to-Many Voice Conversion using Conditional Cycle-Consistent Adversarial Networks. NCVis: Noise Contrastive Approach for Scalable Visualization. Matrix-LSTM: a Differentiable Recurrent Surface for Asynchronous Event-Based Data. MAC Protocol Design Optimization Using Deep Learning. The Rumour Mill: Making the Spread of Misinformation Explicit an …

Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors. A Differential-form Pullback Programming Language for Higher-order Reverse-mode Automatic Differentiation. sKPNSGA-II: Knee point based MOEA with self-adaptive angle for Mission Planning Problems. On the Discrepancy between Density Estimation …

On Recoverability of Randomly Compressed Tensors with Low CP Rank. Soft Hindsight Experience Replay. MCFlow: Monte Carlo Flow Models for Data Imputation. Multi-Objective Variational Autoencoder: an Application for Smart Infrastructure Maintenance. EPSNet: Efficient Panoptic Segmentation Network with Cross-layer Attention Fusion. Censored Quantile R …

Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level Optimization. Semantic Flow for Fast and Accurate Scene Parsing. Restricted Structural Random Matrix for Compressive Sensing. Feasibility of Video-based Sub-meter Localization on Resource-constrained Platforms. Arabic Diacritic Recovery Using a Feature-Rich biLSTM Model. Predic …

Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes. Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction. Superbloom: Bloom filter meets Transformer. 2.75D Convolutional Neural Network for Pulmonary Nodule Classification in Chest CT. Outlier Gu …

Equivariant Entity-Relationship Networks. Adversarial Inductive Transfer Learning with input and output space adaptation. Are Transformers universal approximators of sequence-to-sequence functions?. Generalizing Reinforcement Learning to Unseen Actions. Leveraging Simple Model Predictions for Enhancing its Performance. Learning to Transfer via Mode …

Learning scalable and transferable multi-robot/machine sequential assignment planning via graph embedding. Learning Generative Models using Denoising Density Estimators. Invertible generative models for inverse problems: mitigating representation error and dataset bias. XD: Cross-lingual Knowledge Distillation for Polyglot Sentence Embeddings. A Bi …

Training individually fair ML models with sensitive subspace robustness. Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation. Effort-value payoff in lemmatisation for Uralic languages. Proceedings of the Sixth International Workshop on Computational Linguistics of Uralic Languages. Removing the Representation Error of GAN …

State2vec: Off-Policy Successor Feature Approximators. RTC-VAE: HARNESSING THE PECULIARITY OF TOTAL CORRELATION IN LEARNING DISENTANGLED REPRESENTATIONS. Pragmatic Evaluation of Adversarial Examples in Natural Language. Preventing Imitation Learning with Adversarial Policy Ensembles. Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic M …