Towards Probabilistic Verification of Machine Unlearning. Uncertainty Estimation in Cancer Survival Prediction. iNALU: Improved Neural Arithmetic Logic Unit. Fairness-Aware Learning with Prejudice Free Representations. 3D Point Cloud Processing and Learning for Autonomous Driving. Training Adversarial Agents to Exploit Weaknesses in Deep Control Po …

3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection. Practical and Bilateral Privacy-preserving Federated Learning. UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking. A Graph-Based Approach for Active Learning in Regression. Supervised Discriminative Sparse PCA with Adaptive Neighbors for …

Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text. MuST-Cinema: a Speech-to-Subtitles corpus. Momentum Improves Normalized SGD. Accessing Higher-level Representations in Sequential Transformers with Feedback Memory. Temporally Folded Convolutional Neural Networks for Sequence Forecasting. Guider l’attention dans les mode …

Breast lesion segmentation in ultrasound images with limited annotated data. Organ Segmentation From Full-size CT Images Using Memory-Efficient FCN. Stochastic reconstruction of periodic, three-dimensional multi-phase electrode microstructures using generative adversarial networks. Neighborhood Structure Assisted Non-negative Matrix Factorization a …

On the Unreasonable Effectiveness of Knowledge Distillation: Analysis in the Kernel Regime. Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks. The Problem with Metrics is a Fundamental Problem for AI. Detection of FLOSS version release events from Stack Overflow message data. Low Latency ASR for Simultaneous …

Interactive Constrained MAP-Elites Analysis and Evaluation of the Expressiveness of the Feature Dimensions. Machine Translation System Selection from Bandit Feedback. Monte Carlo Tree Search for Generating Interactive Data Analysis Interfaces. Experimenting with Convolutional Neural Network Architectures for the automatic characterization of Solita …

MoTiAC: Multi-Objective Actor-Critics for Real-Time Bidding. Clustering and Classification with Non-Existence Attributes: A Sentenced Discrepancy Measure Based Technique. Belief Base Revision for Further Improvement of Unified Answer Set Programming. Self-supervised visual feature learning with curriculum. Tensor Networks for Language Modeling. Are …

BiDet: An Efficient Binarized Object Detector. Structure-Property Maps with Kernel Principal Covariates Regression. Eliminating Search Intent Bias in Learning to Rank. Felix: Flexible Text Editing Through Tagging and Insertion. Cryptanalytic Extraction of Neural Network Models. Video Caption Dataset for Describing Human Actions in Japanese. Introdu …

Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning. Provable Convergence and Global Optimality of Generative Adversarial Network. Representation Learning with Multisets. Deep Gradient Boosting – Layer-wise Input Normalization of Neural Networks. Inferring Dynamical Systems with Long-Range Dependencies through Line …

Towards Stable and Efficient Training of Verifiably Robust Neural Networks. Generating Dialogue Responses From A Semantic Latent Space. Walking on the Edge: Fast, Low-Distortion Adversarial Examples. Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks. Automatically Learning Feature Crossing from Mode …

Statistical Adaptive Stochastic Optimization. Learning to Control PDEs with Differentiable Physics. NADS: Neural Architecture Distribution Search for Uncertainty Awareness. Neural Architecture Search by Learning Action Space for Monte Carlo Tree Search. Computation Reallocation for Object Detection. BANANAS: Bayesian Optimization with Neural Networ …

GRASPEL: GRAPH SPECTRAL LEARNING AT SCALE. Neural Networks for Principal Component Analysis: A New Loss Function Provably Yields Ordered Exact Eigenvectors. AMRL: Aggregated Memory For Reinforcement Learning. Adjustable Real-time Style Transfer. Counterfactuals uncover the modular structure of deep generative models. Semi-Implicit Back Propagation. …

BasisVAE: Orthogonal Latent Space for Deep Disentangled Representation. WHAT DATA IS USEFUL FOR MY DATA: TRANSFER LEARNING WITH A MIXTURE OF SELF-SUPERVISED EXPERTS. Siamese Attention Networks. Mixture Density Networks Find Viewpoint the Dominant Factor for Accurate Spatial Offset Regression. MULTI-STAGE INFLUENCE FUNCTION. GraphMix: Regularized Tr …

Hidden incentives for self-induced distributional shift. Measuring Numerical Common Sense: Is A Word Embedding Approach Effective?. Variational Autoencoders with Normalizing Flow Decoders. A Non-asymptotic comparison of SVRG and SGD: tradeoffs between compute and speed. Differentiable Architecture Compression. Black Box Recursive Translations for M …

PROGRESSIVE LEARNING AND DISENTANGLEMENT OF HIERARCHICAL REPRESENTATIONS. Learning transport cost from subset correspondence. On Robustness of Neural Ordinary Differential Equations. Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?. Sign Bits Are All You Need for Black-Box Attacks. Biologically inspired sleep algorithm for inc …