Intelligent Chest X-ray Worklist Prioritization by CNNs: A Clinical Workflow Simulation. Decentralized MCTS via Learned Teammate Models. Classifying Wikipedia in a fine-grained hierarchy: what graphs can contribute. Machine Learning for Motor Learning: EEG-based Continuous Assessment of Cognitive Engagement for Adaptive Rehabilitation Robots. Certi …

Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency. FMT:Fusing Multi-task Convolutional Neural Network for Person Search. Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning. Differentially Private Federated Learning for Resource-Constrained Internet of Things. Absolute Shapley Valu …

Regularization Helps with Mitigating Poisoning Attacks: Distributionally-Robust Machine Learning Using the Wasserstein Distance. 3D Gated Recurrent Fusion for Semantic Scene Completion. Learning Queuing Networks by Recurrent Neural Networks. 3D Deep Learning on Medical Images: A Review. SHX: Search History Driven Crossover for Real-Coded Genetic Al …

Unsupervised Competitive Hardware Learning Rule for Spintronic Clustering Architecture. Influence Function based Data Poisoning Attacks to Top-N Recommender Systems. Woodbury Transformations for Deep Generative Flows. Improved Optimistic Algorithms for Logistic Bandits. Deep Reinforcement Learning-Based Beam Tracking for Low-Latency Services in Veh …

Graph Structured Network for Image-Text Matching. High-Performance Long-Term Tracking with Meta-Updater. Pose-guided Visible Part Matching for Occluded Person ReID. Ontology-based Interpretable Machine Learning for Textual Data. MetaPoison: Practical General-purpose Clean-label Data Poisoning. Semantic Drift Compensation for Class-Incremental Learn …

The Reciprocal Bayesian LASSO. Certified Defenses for Adversarial Patches. Training Binary Neural Networks using the Bayesian Learning Rule. AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC. Tidying Deep Saliency Prediction Architectures. Directional Deep Embedding and Appearance Learning for Fast Video Object Segment …

PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models. Towards Sharper First-Order Adversary with Quantized Gradients. Simulating Performance of ML Systems with Offline Profiling. On a minimum enclosing ball of a collection of linear subspaces. Linear Regression without Correspondences via Concave Minimization. AOL: Adaptiv …

Convolutional-Recurrent Neural Networks on Low-Power Wearable Platforms for Cardiac Arrhythmia Detection. Dimension-free convergence rates for gradient Langevin dynamics in RKHS. DeepBeat: A multi-task deep learning approach to assess signal quality and arrhythmia detection in wearable devices. Topological Descriptors Help Predict Guest Adsorption …

Learning a generative model for robot control using visual feedback. Parameterized Complexity Analysis of Randomized Search Heuristics. Deep Meditations: Controlled navigation of latent space. Automated Formal Synthesis of Lyapunov Neural Networks. Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning. Dee …

Robust Multi-channel Speech Recognition using Frequency Aligned Network. On Layer Normalization in the Transformer Architecture. Reinforcement Learning in FlipIt. Corrupted Multidimensional Binary Search: Learning in the Presence of Irrational Agents. Lattice protein design using Bayesian learning. FastDTW is approximate and Generally Slower than t …

Pedestrian Models for Autonomous Driving Part I: low level models, from sensing to tracking. Whose Side are Ethics Codes On? Power, Responsibility and the Social Good. Algorithms for Fair Team Formation in Online Labour Marketplaces. Stochastic Optimization of Plain Convolutional Neural Networks with Simple methods. SiTGRU: Single-Tunnelled Gated R …

Neural Game Engine: Accurate learning of generalizable forward models from pixels. AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks. Content Adaptive and Error Propagation Aware Deep Video Compression. Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations. A Unified End-to-End Fram …

Logic and the 2-Simplicial Transformer. Variational Diffusion Autoencoders with Random Walk Sampling. Manifold Learning and Alignment with Generative Adversarial Networks. Poisoning Attacks with Generative Adversarial Nets. Locality and Compositionality in Zero-Shot Learning. Off-Policy Actor-Critic with Shared Experience Replay. Unsupervised Learn …

FR-GAN: Fair and Robust Training. Learning Video Representations using Contrastive Bidirectional Transformer. Improved Modeling of Complex Systems Using Hybrid Physics/Machine Learning/Stochastic Models. Certified Robustness to Adversarial Label-Flipping Attacks via Randomized Smoothing. Exploration via Flow-Based Intrinsic Rewards. Robust Domain R …