Measure by Measure: Automatic Music Composition with Traditional Western Music Notation. Confidence-Calibrated Adversarial Training: Towards Robust Models Generalizing Beyond the Attack Used During Training. PassNet: Learning pass probability surfaces from single-location labels. An architecture for visually-interpretable soccer analytics. Global R …

Mix-review: Alleviate Forgetting in the Pretrain-Finetune Framework for Neural Language Generation Models. Mildly Overparametrized Neural Nets can Memorize Training Data Efficiently. Neural Outlier Rejection for Self-Supervised Keypoint Learning. Deep Hierarchical-Hyperspherical Learning (DH^2L). Physics-Aware Flow Data Completion Using Neural Inpa …

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 …

The function of contextual illusions. PDP: A General Neural Framework for Learning SAT Solvers. Project and Forget: Solving Large Scale Metric Constrained Problems. Visual Explanation for Deep Metric Learning. The Frechet Distance of training and test distribution predicts the generalization gap. End to End Trainable Active Contours via Differentia …

Learning Invariants through Soft Unification. Collapsed amortized variational inference for switching nonlinear dynamical systems. Thinking While Moving: Deep Reinforcement Learning with Concurrent Control. Target-Embedding Autoencoders for Supervised Representation Learning. COMBINED FLEXIBLE ACTIVATION FUNCTIONS FOR DEEP NEURAL NETWORKS. Neural M …

Attributes Obfuscation with Complex-Valued Features. IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks. Progressive Upsampling Audio Synthesis via Effective Adversarial Training. Accelerating SGD with momentum for over-parameterized learning. Estimating Gradients for Discrete Random Variables by Sampling without Re …

Augmenting Self-attention with Persistent Memory. Ensemble Distribution Distillation. Automated curriculum generation through setter-solver interactions. PolyGAN: High-Order Polynomial Generators. Mathematical Reasoning in Latent Space. Neural Execution of Graph Algorithms. Deep Double Descent: Where Bigger Models and More Data Hurt. The Early Phas …

PNAT: Non-autoregressive Transformer by Position Learning. Diagnosing the Environment Bias in Vision-and-Language Navigation. Differentially Private Meta-Learning. Learning Underlying Physical Properties From Observations For Trajectory Prediction. Universal Approximation with Certified Networks. Neural Policy Gradient Methods: Global Optimality an …

Multi-Precision Policy Enforced Training (MuPPET) : A precision-switching strategy for quantised fixed-point training of CNNs. Feature-map-level Online Adversarial Knowledge Distillation. UNPAIRED POINT CLOUD COMPLETION ON REAL SCANS USING ADVERSARIAL TRAINING. A Probabilistic Formulation of Unsupervised Text Style Transfer. Neural Network Branchin …

GPU Memory Management for Deep Neural Networks Using Deep Q-Network. On the “steerability” of generative adversarial networks. ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators. Adversarial Robustness Against the Union of Multiple Perturbation Models. Quantifying Point-Prediction Uncertainty in Neural Networks via Residua …

Deep Orientation Uncertainty Learning based on a Bingham Loss. Learning Disentangled Representations for CounterFactual Regression. Unrestricted Adversarial Examples via Semantic Manipulation. Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue. Winning Privately: The Differentially Private Lottery Ticket Mechanism. Certifying Neu …

Retrieving Signals in the Frequency Domain with Deep Complex Extractors. Learning Cross-modal Context Graph for Visual Grounding. Differentially Private Mixed-Type Data Generation For Unsupervised Learning. HighRes-net: Multi-Frame Super-Resolution by Recursive Fusion. Cost-Effective Testing of a Deep Learning Model through Input Reduction. Learnin …

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 …

Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks. MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network. MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. Chameleon: Adaptive Code Optimization For Expedited Deep Neural Network Compilation. ProtoAttend: Attention- …

Encoder-Agnostic Adaptation for Conditional Language Generation. LEARNED STEP SIZE QUANTIZATION. Deep Graph Translation. RPGAN: random paths as a latent space for GAN interpretability. Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization. Composition-based Multi-Relational Graph Convolutional Networks. Argus: Efficient …