Multitask Learning On Graph Neural Networks Applied To Molecular Property Predictions. A Self Validation Network for Object-Level Human Attention Estimation. Improving Visual Relation Detection using Depth Maps. Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization. Representational Rényi heterogenei …

Hamiltonian Neural Networks. Passage Re-ranking with BERT. FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation. A Real-Time Wideband Neural Vocoder at 1.6 kb/s Using LPCNet. Planning with Goal-Conditioned Policies. Accurate and Robust Alignment of Variable-stained Histologic Images Using a General-purpose Greedy Diffeomorphic Registration Tool …

Chameleon: Learning Model Initializations Across Tasks With Different Schemas. Multi-Label Image Recognition with Graph Convolutional Networks. Similarity Learning for Authorship Verification in Social Media. ELF: Embedded Localisation of Features in pre-trained CNN. WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia. …

Floor-SP: Inverse CAD for Floorplans by Sequential Room-wise Shortest Path. Learning Modular Safe Policies in the Bandit Setting with Application to Adaptive Clinical Trials. Exploiting Sentential Context for Neural Machine Translation. A unified view on differential privacy and robustness to adversarial examples. A Review on Quantile Regression fo …

SURel: A Gold Standard for Incorporating Meaning Shifts into Term Extraction. SHE2: Stochastic Hamiltonian Exploration and Exploitation for Derivative-Free Optimization. Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks. Human Evaluation of Neural Machine Translation: The Case of Deep Learning. Enhanced Bayesian Compression …