Representation Learning

Paper Group ANR 14

Paper Group ANR 14

April 3, 2020

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 …
Paper Group ANR 15

Paper Group ANR 15

April 3, 2020

FragNet: Writer Identification using Deep Fragment Networks. Learning to Correct 3D Reconstructions from Multiple Views. Nature-Inspired Optimization Algorithms: Challenges and Open Problems. DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning. Watching the World Go By: Representation Learning from Unlabeled Vi …
Paper Group ANR 3

Paper Group ANR 3

April 3, 2020

EM Algorithm is Sample-Optimal for Learning Mixtures of Well-Separated Gaussians. Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models. Transport Gaussian Processes for Regression. LTP: A New Active Learning Strategy for Bert-CRF Based Named Entity Recognition. Some convergent results for Backtracking Gradient Descent me …
Paper Group ANR 39

Paper Group ANR 39

April 3, 2020

Physics Informed Deep Learning for Transport in Porous Media. Buckley Leverett Problem. Super-efficiency of automatic differentiation for functions defined as a minimum. End-to-end Emotion-Cause Pair Extraction via Learning to Link. Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling. Interpretable and Fair Compa …
Paper Group ANR 45

Paper Group ANR 45

April 3, 2020

Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms. Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning. Closing the convergence gap of SGD without replacement. BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models. Image-to-image Neural Network for Additi …
Paper Group ANR 5

Paper Group ANR 5

April 3, 2020

Be Like Water: Robustness to Extraneous Variables Via Adaptive Feature Normalization. BB_Evac: Fast Location-Sensitive Behavior-Based Building Evacuation. AE-OT-GAN: Training GANs from data specific latent distribution. Optimal Confidence Regions for the Multinomial Parameter. Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domai …
Paper Group ANR 55

Paper Group ANR 55

April 3, 2020

Infinite-Horizon Differentiable Model Predictive Control. The Past and Present of Imitation Learning: A Citation Chain Study. 1D CNN Based Network Intrusion Detection with Normalization on Imbalanced Data. Survey of Network Intrusion Detection Methods from the Perspective of the Knowledge Discovery in Databases Process. Asynchronous Policy Evaluati …
Paper Group ANR 58

Paper Group ANR 58

April 3, 2020

PIC: Permutation Invariant Convolution for Recognizing Long-range Activities. Games Where You Can Play Optimally with Finite Memory. Complete Dictionary Learning via $\ell_p$-norm Maximization. Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program). Distal Explanations for Explainable Reinfor …
Paper Group ANR 62

Paper Group ANR 62

April 3, 2020

Performance of Statistical and Machine Learning Techniques for Physical Layer Authentication. ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot Navigation. A novel tree-structured point cloud dataset for skeletonization algorithm evaluation. Deep Learning Stereo Vision at the edge. An End-to-end Deep Learn …
Paper Group ANR 63

Paper Group ANR 63

April 3, 2020

Unpaired Image Super-Resolution using Pseudo-Supervision. PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling. Multi-Level Feature Fusion Mechanism for Single Image Super-Resolution. Learning Deep Analysis Dictionaries – Part II: Convolutional Dictionaries. An Automatic Relevance Determination Prior Bayesian Neural Network for Cont …
Paper Group ANR 69

Paper Group ANR 69

April 3, 2020

Stochastic Calibration of Radio Interferometers. Optimal least-squares solution to the hand-eye calibration problem. Mask & Focus: Conversation Modelling by Learning Concepts. Automatic Estimation of Sphere Centers from Images of Calibrated Cameras. Multi-frequency calibration for DOA estimation with distributed sensors. On the Role of Dataset Qual …
Paper Group ANR 71

Paper Group ANR 71

April 3, 2020

Student/Teacher Advising through Reward Augmentation. A General Framework to Analyze Stochastic Linear Bandit. Improving the Adversarial Robustness of Transfer Learning via Noisy Feature Distillation. Amortized variance reduction for doubly stochastic objectives. i-flow: High-dimensional Integration and Sampling with Normalizing Flows. BLCS: Brain- …
Paper Group ANR 8

Paper Group ANR 8

April 3, 2020

The Variational InfoMax Learning Objective. An initial investigation on optimizing tandem speaker verification and countermeasure systems using reinforcement learning. Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. RiskOracle: A Minute-level Citywide Traffic Accident Forecasting Framework. Synchronization in 5G: …
Paper Group ANR 80

Paper Group ANR 80

April 3, 2020

Multi-objective Ranking via Constrained Optimization. A Framework for Online Investment Algorithms. Defense Through Diverse Directions. Parameter Sharing in Coagent Networks. Model-Reference Reinforcement Learning Control of Autonomous Surface Vehicles with Uncertainties. Getting Better from Worse: Augmented Bagging and a Cautionary Tale of Variabl …
Paper Group AWR 1

Paper Group AWR 1

April 3, 2020

A Sparse Deep Factorization Machine for Efficient CTR prediction. Probability Weighted Compact Feature for Domain Adaptive Retrieval. Masking Orchestration: Multi-task Pretraining for Multi-role Dialogue Representation Learning. Fine-grained Image Classification and Retrieval by Combining Visual and Locally Pooled Textual Features. SQLFlow: A Bridg …
Paper Group AWR 10

Paper Group AWR 10

April 3, 2020

High-Dimensional Feature Selection for Genomic Datasets. Localized Flow-Based Clustering in Hypergraphs. Train Scheduling with Hybrid Answer Set Programming. Regression via Implicit Models and Optimal Transport Cost Minimization. Context Based Emotion Recognition using EMOTIC Dataset. Decentralized Learning for Channel Allocation in IoT Networks ov …
Paper Group AWR 12

Paper Group AWR 12

April 3, 2020

Comparing recurrent and convolutional neural networks for predicting wave propagation. Entity Context and Relational Paths for Knowledge Graph Completion. Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study. Detection of 3D Bounding Boxes of Vehicles Using Perspective Transformation for Accurate Speed Measurement. P …
Paper Group AWR 14

Paper Group AWR 14

April 3, 2020

Learning Enriched Features for Real Image Restoration and Enhancement. Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation. Coping With Simulators That Don’t Always Return. Scalable End-to-end Recurrent Neural Network for Variable star classification. Infrared and 3D skeleton feature fusion for RG …
Paper Group AWR 16

Paper Group AWR 16

April 3, 2020

A Deep Learning Approach for the Computation of Curvature in the Level-Set Method. Learning to Respond with Stickers: A Framework of Unifying Multi-Modality in Multi-Turn Dialog. Probabilistic 3D Multi-Object Tracking for Autonomous Driving. Interpretable Rumor Detection in Microblogs by Attending to User Interactions. Multi-task self-supervised le …
Paper Group AWR 18

Paper Group AWR 18

April 3, 2020

MOGPTK: The Multi-Output Gaussian Process Toolkit. Active Bayesian Assessment for Black-Box Classifiers. PDE-NetGen 1.0: from symbolic PDE representations of physical processes to trainable neural network representations. Unsupervised Learning of Intrinsic Structural Representation Points. Graph Neighborhood Attentive Pooling. Non-Autoregressive Di …
Paper Group AWR 2

Paper Group AWR 2

April 3, 2020

StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization. The gap between theory and practice in function approximation with deep neural networks. Resources for Turkish Dependency Parsing: Introducing the BOUN Treebank and the BoAT Annotation Tool. Flashlight CNN Image Denoising. RIDE: Rewarding Impact-Dr …
Paper Group AWR 21

Paper Group AWR 21

April 3, 2020

Exploit Clues from Views: Self-Supervised and Regularized Learning for Multiview Object Recognition. Fast reconstruction of atomic-scale STEM-EELS images from sparse sampling. Counter-example Guided Learning of Bounds on Environment Behavior. Multi-Level Representation Learning for Deep Subspace Clustering. Co-occurrence of deep convolutional featu …
Paper Group AWR 22

Paper Group AWR 22

April 3, 2020

Adapting Grad-CAM for Embedding Networks. Fast Sequence-Based Embedding with Diffusion Graphs. Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU. Learning Deformable Registration of Medical Images with Anatomical Constraints. Estimating Counterfactual Treatment Outcomes over Time Through Advers …
Paper Group AWR 23

Paper Group AWR 23

April 3, 2020

Multi-Agent Interactions Modeling with Correlated Policies. Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks. MarginDistillation: distillation for margin-based softmax. GeoDA: a geometric framework for black-box adversarial attacks. Data Augmentation using Pre-trained Transformer Models. Interpretable End-to- …
Paper Group AWR 24

Paper Group AWR 24

April 3, 2020

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 …
Paper Group AWR 25

Paper Group AWR 25

April 3, 2020

ACEnet: Anatomical Context-Encoding Network for Neuroanatomy Segmentation. Stance Detection Benchmark: How Robust Is Your Stance Detection?. Modeling ASR Ambiguity for Dialogue State Tracking Using Word Confusion Networks. Plato Dialogue System: A Flexible Conversational AI Research Platform. Two-Stream Aural-Visual Affect Analysis in the Wild. Cli …
Paper Group AWR 26

Paper Group AWR 26

April 3, 2020

Complexity Guarantees for Polyak Steps with Momentum. Supervised Learning on Relational Databases with Graph Neural Networks. Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study. Synthesizing human-like sketches from natural images using a conditional convolutional decoder. TaskNorm: Rethinking Batch …
Paper Group AWR 28

Paper Group AWR 28

April 3, 2020

Using Reinforcement Learning in the Algorithmic Trading Problem. Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning. Variational Inference with Vine Copulas: An efficient Approach for Bayesian Computer Model Calibration. Ensemble neural network forecasts with singular value decomposition. Error …