Discrete Action On-Policy Learning with Action-Value Critic. TAdam: A Robust Stochastic Gradient Optimizer. Random Smoothing Might be Unable to Certify $\ell_\infty$ Robustness for High-Dimensional Images. To Share or Not To Share: A Comprehensive Appraisal of Weight-Sharing. Negative Margin Matters: Understanding Margin in Few-shot Classification. …

Using Reinforcement Learning in the Algorithmic Trading Problem. Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning. Variational Inference with Vine Copulas: An efficient Approach for Bayesian Computer Model Calibration. Ensemble neural network forecasts with singular value decomposition. Error …

Adversarial Continual Learning. State-Aware Tracker for Real-Time Video Object Segmentation. FedDANE: A Federated Newton-Type Method. Gimme Signals: Discriminative signal encoding for multimodal activity recognition. On the Road with 16 Neurons: Mental Imagery with Bio-inspired Deep Neural Networks. Adapting Deep Learning for Sentiment Classificati …

Semantic sensor fusion: from camera to sparse lidar information. Using generative adversarial networks to synthesize artificial financial datasets. Generalized Bayesian Cramér-Rao Inequality via Information Geometry of Relative $α$-Entropy. Disentangling Representations using Gaussian Processes in Variational Autoencoders for Video Prediction. Inte …

Streaming Active Deep Forest for Evolving Data Stream Classification. Towards Robust and Reproducible Active Learning Using Neural Networks. Adaptive Region-Based Active Learning. Active Learning for Sound Event Detection. Efficient active learning of sparse halfspaces with arbitrary bounded noise. Deep Domain-Adversarial Image Generation for Domai …

Extending iLQR method with control delay. The Conditional Entropy Bottleneck. Large-Scale Educational Question Analysis with Partial Variational Auto-encoders. Prediction of Discharge Capacity of Labyrinth Weir with Gene Expression Programming. Convergence of Artificial Intelligence and High Performance Computing on NSF-supported Cyberinfrastructur …

Distributed, partially collapsed MCMC for Bayesian Nonparametrics. Variational Transformers for Diverse Response Generation. SynCGAN: Using learnable class specific priors to generate synthetic data for improving classifier performance on cytological images. Quantum subspace alignment for domain adaptation. Machine Learning the Phenomenology of COV …

Guided Adaptive Credit Assignment for Sample Efficient Policy Optimization. Reasoning-Aware Graph Convolutional Network for Visual Question Answering. Attention on Abstract Visual Reasoning. CLEVRER: Collision Events for Video Representation and Reasoning. Deep End-to-end Unsupervised Anomaly Detection. Attentive Weights Generation for Few Shot Lea …

Continual Learning via Neural Pruning. apPILcation: an Android-based Tool for Learning Mansi. Quantum Graph Neural Networks. ShardNet: One Filter Set to Rule Them All. Balancing Cost and Benefit with Tied-Multi Transformers. AdaScale SGD: A Scale-Invariant Algorithm for Distributed Training. Visual Representation Learning with 3D View-Constrastive …

Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration. Teaching GAN to generate per-pixel annotation. RNA Secondary Structure Prediction By Learning Unrolled Algorithms. Meta Label Correction for Learning with Weak Supervision. Asynchronous Stochastic Subgradient Methods for General Nonsmooth Nonconvex Optimization. …

Meta-Learning Initializations for Image Segmentation. Measuring the Reliability of Reinforcement Learning Algorithms. How many weights are enough : can tensor factorization learn efficient policies ?. Regularization Matters in Policy Optimization. Deceptive Opponent Modeling with Proactive Network Interdiction for Stochastic Goal Recognition Contro …

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 …