Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation. Measuring Calibration in Deep Learning. Partial Simulation for Imitation Learning. Semi-supervised 3D Face Reconstruction with Nonlinear Disentangled Representations. iWGAN: an Autoencoder WGAN for Inference. A Syntax-Aware Approach for Unsupervised Text Style Tra …

Tree-structured Attention Module for Image Classification. Contrastive Multiview Coding. Training a Constrained Natural Media Painting Agent using Reinforcement Learning. Principled Weight Initialization for Hypernetworks. Frustratingly easy quasi-multitask learning. Improving Visual Relation Detection using Depth Maps. On Evaluating Explainability …

Learning Effective Exploration Strategies For Contextual Bandits. Efficient Content-Based Sparse Attention with Routing Transformers. On the Decision Boundaries of Deep Neural Networks: A Tropical Geometry Perspective. EINS: Long Short-Term Memory with Extrapolated Input Network Simplification. Improving Neural Language Generation with Spectrum Con …

Star-Convexity in Non-Negative Matrix Factorization. Domain Adaptive Multiflow Networks. Connectivity-constrained interactive annotations for panoptic segmentation. Learning to Move with Affordance Maps. AdvCodec: Towards A Unified Framework for Adversarial Text Generation. Multi-task Network Embedding with Adaptive Loss Weighting. OPTIMAL TRANSPOR …

CRAP: Semi-supervised Learning via Conditional Rotation Angle Prediction. The Surprising Behavior Of Graph Neural Networks. INTERNAL-CONSISTENCY CONSTRAINTS FOR EMERGENT COMMUNICATION. Improving Dirichlet Prior Network for Out-of-Distribution Example Detection. Negative Sampling in Variational Autoencoders. Global reasoning network for image super- …

Fully Quantized Transformer for Improved Translation. Scalable Neural Learning for Verifiable Consistency with Temporal Specifications. Cascade Style Transfer. Randomness in Deconvolutional Networks for Visual Representation. Learning Heuristics for Quantified Boolean Formulas through Reinforcement Learning. SINGLE PATH ONE-SHOT NEURAL ARCHITECTURE …

Machine Truth Serum. Adversarial training with perturbation generator networks. Conditional Invertible Neural Networks for Guided Image Generation. To Relieve Your Headache of Training an MRF, Take AdVIL. Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension. Incorporating BERT into Neura …

Incremental RNN: A Dynamical View.. Image-guided Neural Object Rendering. SGD Learns One-Layer Networks in WGANs. Geom-GCN: Geometric Graph Convolutional Networks. AutoLR: A Method for Automatic Tuning of Learning Rate. Deep Imitative Models for Flexible Inference, Planning, and Control. Large-scale Pretraining for Neural Machine Translation with T …

Efficacy of Pixel-Level OOD Detection for Semantic Segmentation. Customizing Sequence Generation with Multi-Task Dynamical Systems. Learning Representations in Reinforcement Learning: an Information Bottleneck Approach. RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers. LEX-GAN: Layered Explainable Rumor Detector Based on …

Angular Visual Hardness. The Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions. A multi-task U-net for segmentation with lazy labels. Mint: Matrix-Interleaving for Multi-Task Learning. Gradient Surgery for Multi-Task Learning. Multi-Dimensional Explanation of Reviews. Underwhelming Generalizatio …

Exploring the Pareto-Optimality between Quality and Diversity in Text Generation. The Detection of Distributional Discrepancy for Text Generation. Coresets for Accelerating Incremental Gradient Methods. CONTRIBUTION OF INTERNAL REFLECTION IN LANGUAGE EMERGENCE WITH AN UNDER-RESTRICTED SITUATION. Gradient Perturbation is Underrated for Differentiall …

Quantifying the Cost of Reliable Photo Authentication via High-Performance Learned Lossy Representations. NAS evaluation is frustratingly hard. Discourse-Based Evaluation of Language Understanding. Meta-learning curiosity algorithms. Black-box Adversarial Attacks with Bayesian Optimization. Neural Tangents: Fast and Easy Infinite Neural Networks in …

Why ADAM Beats SGD for Attention Models. Hindsight Trust Region Policy Optimization. Decentralized Distributed PPO: Mastering PointGoal Navigation. ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning. Bootstrapping the Expressivity with Model-based Planning. Automated Relational Meta-learning. Empirical Bayes Transductive Meta-Learn …