Advbox: a toolbox to generate adversarial examples that fool neural networks. On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks. Inductive Document Network Embedding with Topic-Word Attention. Explaining Away Attacks Against Neural Networks. Predicting Many Properties of a Quantum System from Very Few Measurements. Mu …

Adversarial Perturbations Fool Deepfake Detectors. Wise Sliding Window Segmentation: A classification-aided approach for trajectory segmentation. What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective. Cloud-Net+: A Cloud Segmentation CNN for Landsat 8 Remote Sensing Imagery Optimized with Filtered Jaccard Loss Function. …

ScanSSD: Scanning Single Shot Detector for Mathematical Formulas in PDF Document Images. Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations. Machine-Learning-Based Diagnostics of EEG Pathology. MAST: A Memory-Augmented Self-supervised Tracker. Selecting time-series hyperparameters with the ar …

Joint Multiclass Debiasing of Word Embeddings. Deep Reinforcement Learning for Complex Manipulation Tasks with Sparse Feedback. Constraining the recent star formation history of galaxies : an Approximate Bayesian Computation approach. Teacher-Student chain for efficient semi-supervised histology image classification. One Explanation Does Not Fit Al …

Theoretical Interpretation of Learned Step Size in Deep-Unfolded Gradient Descent. Locally Private Hypothesis Selection. Assembling Semantically-Disentangled Representations for Predictive-Generative Models via Adaptation from Synthetic Domain. Deepfakes for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation …

Fair Principal Component Analysis and Filter Design. Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology. ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning. Search Space of Adversarial Perturbations against Image Filters. Estimating Training Data Influence by Tracking Gradient Descent. …

Efficient Deep Reinforcement Learning through Policy Transfer. Addressing target shift in zero-shot learning using grouped adversarial learning. Towards Zero-shot Learning for Automatic Phonemic Transcription. Cognitive Argumentation and the Suppression Task. A Multi-criteria Approach for Fast and Outlier-aware Representative Selection from Manifol …

Exploring the Efficacy of Transfer Learning in Mining Image-Based Software Artifacts. The Mathematical Structure of Integrated Information Theory. How neural networks find generalizable solutions: Self-tuned annealing in deep learning. Reasoning About Generalization via Conditional Mutual Information. On Approximation Capabilities of ReLU Activatio …

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 …

ReluDiff: Differential Verification of Deep Neural Networks. DeepFake Detection: Current Challenges and Next Steps. Taking a hint: How to leverage loss predictors in contextual bandits?. FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network. Decentralized Multi-player Multi-armed Bandits with No Collision Information. Near-linear …