Towards Large Scale Training Of Autoencoders For Collaborative Filtering. Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. Predicting drug response of tumors from integrated genomic profiles by deep neural networks. Large Scale GAN Training for High Fidelity Natural Image Synthesis. Model-Ensemble Trust-Region Policy O …

Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification. The Geometry of Culture: Analyzing Meaning through Word Embeddings. Video-based Person Re-identification Using Spatial-Temporal Attention Networks. A Tree-based Decoder for Neural Machine Translation. Constituent Parsing as Sequence Labeling. Taking A …

BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees. To Trust Or Not To Trust A Classifier. AI safety via debate. Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. SO-Net: Self-Organizing Network for Point Cloud Analysis. A Structured Variational Autoencoder for Contextual Morphol …

Bayesian sparse reconstruction: a brute-force approach to astronomical imaging and machine learning. AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification. Hierarchical Quantized Representations for Script Generation. Simple Baselines for Human Pose Estimation and Tracking. Mapping In …

Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks. Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds. Personalizing Dialogue Agents: I have a dog, do you have pets too?. On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference. Whiteni …

Deep Learning for Classification Tasks on Geospatial Vector Polygons. Generating Distractors for Reading Comprehension Questions from Real Examinations. Neural Likelihoods via Cumulative Distribution Functions. LemmaTag: Jointly Tagging and Lemmatizing for Morphologically-Rich Languages with BRNNs. Likelihood-free inference with emulator networks. …

Face Landmark-based Speaker-Independent Audio-Visual Speech Enhancement in Multi-Talker Environments. General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms. Affinity Derivation and Graph Merge for Instance Segmentation. SNIPER: Efficient Multi-Scale Training. Depth-aware CNN for RGB-D Segmenta …

BTS-DSN: Deeply Supervised Neural Network with Short Connections for Retinal Vessel Segmentation. cGANs with Projection Discriminator. Multi-level Multimodal Common Semantic Space for Image-Phrase Grounding. Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models. Towards Two- …

DetNet: A Backbone network for Object Detection. Deep Bayesian Self-Training. Double Path Networks for Sequence to Sequence Learning. Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral Clustering. Real-world Anomaly Detection in Surveillance Videos. BRUNO: A Deep Recurrent Model for Exchangeable Data. Generating Informative and …

VirtualHome: Simulating Household Activities via Programs. Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning. Facial Expression and Peripheral Physiology Fusion to Decode Individualized Affective Experience. Automated Classification of Sleep Stages and EEG Artifacts in Mice with Deep Learning. Temporal Difference Learni …

MelanoGANs: High Resolution Skin Lesion Synthesis with GANs. Consistent CCG Parsing over Multiple Sentences for Improved Logical Reasoning. Robust Student Network Learning. Using Deep Autoencoders for Facial Expression Recognition. Single Image Dehazing Based on Generic Regularity. Learning a Latent Space of Multitrack Measures. Strategies for Lang …

Structured Pruning for Efficient ConvNets via Incremental Regularization. Simple stopping criteria for information theoretic feature selection. Three-Dimensional Dose Prediction for Lung IMRT Patients with Deep Neural Networks: Robust Learning from Heterogeneous Beam Configurations. On the Convergence of A Class of Adam-Type Algorithms for Non-Conv …

Text to Image Synthesis Using Generative Adversarial Networks. L2-Nonexpansive Neural Networks. Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes. Treating Keywords as Outliers: A Keyphrase Extraction Approach. Gradient Descent Provably Optimizes Over-parameteri …

ClosNets: a Priori Sparse Topologies for Faster DNN Training. Superconducting Optoelectronic Neurons II: Receiver Circuits. The SEN1-2 Dataset for Deep Learning in SAR-Optical Data Fusion. A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration. Cross-dataset Person Re-Identification Using Similarity Preserved Generative …

Multi-Player Bandits: A Trekking Approach. A Multi-layer Gaussian Process for Motor Symptom Estimation in People with Parkinson’s Disease. Policy Optimization as Wasserstein Gradient Flows. Spectrally approximating large graphs with smaller graphs. Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks. A CNN for hom …

A method to Suppress Facial Expression in Posed and Spontaneous Videos. SRP: Efficient class-aware embedding learning for large-scale data via supervised random projections. Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks. Global Convergence to the Equilibrium of GANs using Variational Inequalities. Mining …