Gaussian Processes

Paper Group ANR 417

Paper Group ANR 417

April 1, 2020

Learning Gaussian Graphical Models via Multiplicative Weights. Adversarial Online Learning with Changing Action Sets: Efficient Algorithms with Approximate Regret Bounds. Bayesian Deep Learning and a Probabilistic Perspective of Generalization. SpotTheFake: An Initial Report on a New CNN-Enhanced Platform for Counterfeit Goods Detection. Pairwise N …
Paper Group ANR 435

Paper Group ANR 435

April 1, 2020

Optimal Options for Multi-Task Reinforcement Learning Under Time Constraints. RobustGCNs: Robust Norm Graph Convolutional Networks in the Presence of Node Missing Data and Large Noises. Erase and Restore: Simple, Accurate and Resilient Detection of $L_2$ Adversarial Examples. Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings. Action …
Paper Group ANR 438

Paper Group ANR 438

April 1, 2020

ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions. Approximate MMAP by Marginal Search. Curriculum DeepSDF. Data Curves Clustering Using Common Patterns Detection. Drift-Adjusted And Arbitrated Ensemble Framework For Time Series Forecasting. High-Dimensional Independence Testing and Maximum Marginal Correlation. …
Paper Group ANR 453

Paper Group ANR 453

April 1, 2020

On the Minimum Achievable Age of Information for General Service-Time Distributions. Advances in Bandits with Knapsacks. Thermal coupling and effect of subharmonic synchronization in a system of two VO2 based oscillators. Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks. CookGAN: Meal Image Synthesis from Ingredients. The …
Paper Group ANR 455

Paper Group ANR 455

April 1, 2020

Considering discrepancy when calibrating a mechanistic electrophysiology model. Semantic Enrichment of Nigerian Pidgin English for Contextual Sentiment Classification. PBRnet: Pyramidal Bounding Box Refinement to Improve Object Localization Accuracy. “Who is Driving around Me?” Unique Vehicle Instance Classification using Deep Neural Features. Deep …
Paper Group ANR 462

Paper Group ANR 462

April 1, 2020

On the Estimation of Complex Circuits Functional Failure Rate by Machine Learning Techniques. Computing the Feedback Capacity of Finite State Channels using Reinforcement Learning. Deep Semantic Matching with Foreground Detection and Cycle-Consistency. Visual Summary of Value-level Feature Attribution in Prediction Classes with Recurrent Neural Net …
Paper Group ANR 475

Paper Group ANR 475

April 1, 2020

aphBO-2GP-3B: A budgeted asynchronously-parallel multi-acquisition for known/unknown constrained Bayesian optimization on high-performing computing architecture. Shared Mobile-Cloud Inference for Collaborative Intelligence. Tiny Noise Can Make an EEG-Based Brain-Computer Interface Speller Output Anything. Imbalance Learning for Variable Star Classi …
Paper Group ANR 485

Paper Group ANR 485

April 1, 2020

On Newton Screening. Learning High Order Feature Interactions with Fine Control Kernels. Referencing Source Code Artifacts: a Separate Concern in Software Citation. The DIDI dataset: Digital Ink Diagram data. Dynamic Incentive-aware Learning: Robust Pricing in Contextual Auctions. A Spatial-Temporal Attentive Network with Spatial Continuity for Tra …
Paper Group ANR 489

Paper Group ANR 489

April 1, 2020

Upper, Middle and Lower Region Learning for Facial Action Unit Detection. The impossibility of low rank representations for triangle-rich complex networks. Multi-faceted Trust-based Collaborative Filtering. Linearly Constrained Gaussian Processes with Boundary Conditions. Developing a Recommendation Benchmark for MLPerf Training and Inference. Tech …
Paper Group ANR 502

Paper Group ANR 502

April 1, 2020

Precise Tradeoffs in Adversarial Training for Linear Regression. RelatIF: Identifying Explanatory Training Examples via Relative Influence. UDD: An Underwater Open-sea Farm Object Detection Dataset for Underwater Robot Picking. Trained Model Fusion for Object Detection using Gating Network. Unsupervisedly Learned Representations: Should the Quest b …
Paper Group ANR 503

Paper Group ANR 503

April 1, 2020

SuperNet – An efficient method of neural networks ensembling. SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives. Analysis of the quotation corpus of the Russian Wiktionary. Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised L …
Paper Group ANR 504

Paper Group ANR 504

April 1, 2020

Captioning Images Taken by People Who Are Blind. Exploration of Surgeons’ Natural Skills for Robotic Catheterization. A machine-learning software-systems approach to capture social, regulatory, governance, and climate problems. Efficient Domain Generalization via Common-Specific Low-Rank Decomposition. Rigidity Properties of the Blum Medial Axis. D …
Paper Group ANR 505

Paper Group ANR 505

April 1, 2020

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 …
Paper Group NANR 117

Paper Group NANR 117

April 1, 2020

StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding. Masked Based Unsupervised Content Transfer. Wasserstein Adversarial Regularization (WAR) on label noise. Understanding and Improving Information Transfer in Multi-Task Learning. On the Pareto Efficiency of Quantized CNN. Spike-based causal inference for …
Paper Group NANR 137

Paper Group NANR 137

April 1, 2020

Unsupervised Meta-Learning for Reinforcement Learning. Discrete InfoMax Codes for Meta-Learning. VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning. Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model. Continual Deep Learning by Functional Regularisation of Memorable Past. Learning to Remember from a …
Paper Group NANR 2

Paper Group NANR 2

April 1, 2020

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization. VAENAS: Sampling Matters in Neural Architecture Search. Contextual Temperature for Language Modeling. Keyframing the Future: Discovering Temporal Hierarchy with Keyframe-Inpainter Prediction. Flexible and Efficient Long-Range Plannin …
Paper Group NAWR 6

Paper Group NAWR 6

April 1, 2020

Encoder-Agnostic Adaptation for Conditional Language Generation. LEARNED STEP SIZE QUANTIZATION. Deep Graph Translation. RPGAN: random paths as a latent space for GAN interpretability. Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization. Composition-based Multi-Relational Graph Convolutional Networks. Argus: Efficient …