Dataset Distillation. Revisiting Distillation and Incremental Classifier Learning. Using deep Q-learning to understand the tax evasion behavior of risk-averse firms. Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence. Masked Conditional Neural Networks for Environmental Sound Classification. ECC: Platform-Independe …

Automatic Latent Fingerprint Segmentation. Building Damage Annotation on Post-Hurricane Satellite Imagery Based on Convolutional Neural Networks. AutoAugment: Learning Augmentation Policies from Data. Using phase instead of optical flow for action recognition. Human Motion Capture Using a Drone. Larger Norm More Transferable: An Adaptive Feature No …

Learning to Estimate 3D Human Pose and Shape from a Single Color Image. Nonlocality-Reinforced Convolutional Neural Networks for Image Denoising. NICE: Noise Injection and Clamping Estimation for Neural Network Quantization. Organizing Experience: A Deeper Look at Replay Mechanisms for Sample-based Planning in Continuous State Domains. A Comparison …

A Formulation of Recursive Self-Improvement and Its Possible Efficiency. Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction. Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning. Nearly-tight bounds on linear regions of piecewise linear neural networks. Geometry-Based Multiple Camera …