## Cs Lg

- Apr 25 Recursive Models Write Programs
- Apr 24 A Saddle Point Approach to Structured Low-rank Matrix Learning in Large-scale Applications
- Apr 24 Joint Modeling of Text and Acoustic-Prosodic Cues for Neural Parsing
- Apr 24 Learning from Comparisons and Choices
- Apr 24 Reinforcement Learning Based Dynamic Selection of Auxiliary Objectives with Preserving of the Best Found Solution
- Apr 24 Semi-supervised Multitask Learning for Sequence Labeling
- Apr 24 A Neural Network model with Bidirectional Whitening
- Apr 24 An Aposteriorical Clusterability Criterion for $k$-Means and Simplicity of Clustering
- Apr 24 Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets
- Apr 24 Diffusion geometry unravels the emergence of functional clusters in collective phenomena
- Apr 24 k-FFNN: A priori knowledge infused Feed-forward Neural Networks
- Apr 24 Using Global Constraints and Reranking to Improve Cognates Detection
- Apr 24 Probabilistic Vehicle Trajectory Prediction over Occupancy Grid Map via Recurrent Neural Network
- Apr 23 Differentiable Scheduled Sampling for Credit Assignment
- Apr 23 Naturalizing a Programming Language via Interactive Learning
- Apr 23 Learning weakly supervised multimodal phoneme embeddings
- Apr 23 A General Theory for Training Learning Machine
- Apr 23 Misspecified Linear Bandits
- Apr 23 Learning to Skim Text
- Apr 22 Testing from One Sample: Is the casino really using a riffle shuffle?
- Apr 22 Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
- Apr 22 Risk Minimization Framework for Multiple Instance Learning from Positive and Unlabeled Bags
- Apr 22 Robust, Deep and Inductive Anomaly Detection
- Apr 22 Batch-Expansion Training: An Efficient Optimization Paradigm for Machine Learning
- Apr 21 Feature selection algorithm based on Catastrophe model to improve the performance of regression analysis
- Apr 21 Learned D-AMP: A Principled CNN-based Compressive Image Recovery Algorithm
- Apr 21 Making Neural Programming Architectures Generalize via Recursion
- Apr 21 Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces
- Apr 21 Bandit Structured Prediction for Neural Sequence-to-Sequence Learning
- Apr 21 Equivalence Between Policy Gradients and Soft Q-Learning
- Apr 20 Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization
- Apr 20 Robust Wirtinger Flow for Phase Retrieval with Arbitrary Corruption
- Apr 20 Dynamic Graph Convolutional Networks
- Apr 20 Softmax GAN
- Apr 20 Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks
- Apr 20 Learning to Acquire Information
- Apr 20 Knowledge Fusion via Embeddings from Text, Knowledge Graphs, and Images
- Apr 20 Every Untrue Label is Untrue in its Own Way: Controlling Error Type with the Log Bilinear Loss
- Apr 20 Multi-view Probability Linear Discrimination Analysis for Multi-view Vector Based Text Dependent Speaker Verification
- Apr 20 Multi-view Probability Linear Discrimination Analysis for Multi-view Vector Based Text Dependent Speaker Verification
- Apr 20 End-to-end representation learning for Correlation Filter based tracking
- Apr 20 Adversarial Neural Machine Translation
- Apr 20 Fast Generation for Convolutional Autoregressive Models
- Apr 20 Retrospective Higher-Order Markov Processes for User Trails
- Apr 20 Monte Carlo Tree Search with Sampled Information Relaxation Dual Bounds
- Apr 20 SAFS: A Deep Feature Selection Approach for Precision Medicine
- Apr 19 Semi-supervised classification for dynamic Android malware detection
- Apr 19 An Interpretable Knowledge Transfer Model for Knowledge Base Completion
- Apr 19 End-to-End Multi-View Networks for Text Classification
- Apr 19 Universal Adversarial Perturbations Against Semantic Image Segmentation
- Apr 19 A Deep Learning Framework using Passive WiFi Sensing for Respiration Monitoring
- Apr 19 Unsupervised Creation of Parameterized Avatars
- Apr 19 CNN based music emotion classification
- Apr 19 Effects of the optimisation of the margin distribution on generalisation in deep architectures
- Apr 19 Stochastic Gradient Twin Support Vector Machine for Large Scale Problems
- Apr 19 Learning to Fly by Crashing
- Apr 19 A Large Self-Annotated Corpus for Sarcasm
- Apr 19 A Large Self-Annotated Corpus for Sarcasm
- Apr 19 Simultaneous Policy Learning and Latent State Inference for Imitating Driver Behavior
- Apr 18 Investigating Recurrence and Eligibility Traces in Deep Q-Networks
- Apr 18 Diagonal RNNs in Symbolic Music Modeling
- Apr 18 Diagonal RNNs in Symbolic Music Modeling
- Apr 18 Ranking to Learn: Feature Ranking and Selection via Eigenvector Centrality
- Apr 18 A Study of Deep Learning Robustness Against Computation Failures
- Apr 18 Unsupervised Learning by Predicting Noise
- Apr 18 Large-Scale Online Semantic Indexing of Biomedical Articles via an Ensemble of Multi-Label Classification Models
- Apr 18 Hot or not? Forecasting cellular network hot spots using sector performance indicators
- Apr 18 Know Your Master: Driver Profiling-based Anti-theft Method
- Apr 18 Maximum Likelihood Estimation based on Random Subspace EDA: Application to Extrasolar Planet Detection
- Apr 18 HPSLPred: An Ensemble Multi-label Classifier for Human Protein Subcellular Location Prediction with Imbalanced Source
- Apr 18 Learning Piece-wise Linear Models from Large Scale Data for Ad Click Prediction
- Apr 18 Stein Variational Autoencoder
- Apr 17 O$^2$TD: (Near)-Optimal Off-Policy TD Learning
- Apr 17 O$^2$TD: (Near)-Optimal Off-Policy TD Learning
- Apr 17 Does Neural Machine Translation Benefit from Larger Context?
- Apr 17 Does robustness imply tractability? A lower bound for planted clique in the semi-random model
- Apr 17 Exploring Sparsity in Recurrent Neural Networks
- Apr 17 Fast multi-output relevance vector regression
- Apr 17 Sparse Communication for Distributed Gradient Descent
- Apr 17 Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models
- Apr 17 Larger is Better: The Effect of Learning Rates Enjoyed by Stochastic Optimization with Progressive Variance Reduction
- Apr 17 Bayesian Hybrid Matrix Factorisation for Data Integration
- Apr 17 Adversarial and Clean Data Are Not Twins
- Apr 17 Introspection: Accelerating Neural Network Training By Learning Weight Evolution
- Apr 17 Deep Relaxation: partial differential equations for optimizing deep neural networks
- Apr 17 Effective Warm Start for the Online Actor-Critic Reinforcement Learning based mHealth Intervention
- Apr 17 Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking
- Apr 16 A Novel Experimental Platform for In-Vessel Multi-Chemical Molecular Communications
- Apr 16 Random Walk Sampling for Big Data over Networks
- Apr 16 In-Datacenter Performance Analysis of a Tensor Processing Unit
- Apr 16 Google's Cloud Vision API Is Not Robust To Noise
- Apr 16 Deep Learning Based Regression and Multi-class Models for Acute Oral Toxicity Prediction
- Apr 15 Machine Learning and the Future of Realism
- Apr 15 RACE: Large-scale ReAding Comprehension Dataset From Examinations
- Apr 15 Deep Learning for Photoacoustic Tomography from Sparse Data
- Apr 15 Asynchronous Parallel Empirical Variance Guided Algorithms for the Thresholding Bandit Problem
- Apr 14 On the Gap Between Strict-Saddles and True Convexity: An Omega(log d) Lower Bound for Eigenvector Approximation
- Apr 14 Hierarchic Kernel Recursive Least-Squares
- Apr 14 Lean From Thy Neighbor: Stochastic & Adversarial Bandits in a Network
- Apr 14 On Generalized Bellman Equations and Temporal-Difference Learning
- Apr 14 Liquid Splash Modeling with Neural Networks
- Apr 14 Optimizing Differentiable Relaxations of Coreference Evaluation Metrics
- Apr 14 Cross-media Similarity Metric Learning with Unified Deep Networks
- Apr 14 Deep API Programmer: Learning to Program with APIs
- Apr 14 CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data
- Apr 13 Stochastic Gradient Descent as Approximate Bayesian Inference
- Apr 13 Learning Latent Representations for Speech Generation and Transformation
- Apr 13 MAGAN, Better than BEGAN
- Apr 13 3d Point Cloud Dataset and Benchmark
- Apr 13 Reward-based stochastic self-configuration of neural circuits
- Apr 13 Spectrum Approximation Beyond Fast Matrix Multiplication: Algorithms and Hardness
- Apr 13 Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks
- Apr 13 DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
- Apr 13 Land Cover Classification via Multi-temporal Spatial Data by Recurrent Neural Networks
- Apr 13 Adaptive Neighboring Selection Algorithm Based on Curvature Prediction in Manifold Learning
- Apr 13 3D Deep Learning for Biological Function Prediction from Physical Fields
- Apr 13 Close Yet Distinctive Domain Adaptation
- Apr 13 ZigZag: A new approach to adaptive online learning
- Apr 13 Fully Distributed and Asynchronized Stochastic Gradient Descent for Networked Systems
- Apr 13 Virtual Adversarial Training: a Regularization Method for Supervised and Semi-supervised Learning
- Apr 13 On the effect of Batch Normalization and Weight Normalization in Generative Adversarial Networks
- Apr 13 Convergence analysis of the information matrix in Gaussian belief propagation
- Apr 12 Value Directed Exploration in Multi-Armed Bandits with Structured Priors
- Apr 12 Robustly Learning a Gaussian: Getting Optimal Error, Efficiently
- Apr 12 Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark
- Apr 12 Determining Song Similarity via Machine Learning Techniques and Tagging Information
- Apr 12 MAGAN: Margin Adaptation for Generative Adversarial Networks
- Apr 12 MAGAN: Margin Adaptation for Generative Adversarial Networks
- Apr 12 A Neural Parametric Singing Synthesizer
- Apr 12 A Proof of Orthogonal Double Machine Learning with $Z$-Estimators
- Apr 12 A Proof of Orthogonal Double Machine Learning with $Z$-Estimators
- Apr 12 Enabling Embedded Inference Engine with ARM Compute Library
- Apr 12 Enabling Embedded Inference Engine with ARM Compute Library: A Case Study
- Apr 12 Enabling Embedded Inference Engine with ARM Compute Library: A Case Study
- Apr 12 Deep-FExt: Deep Feature Extraction for Vessel Segmentation and Centerline Prediction
- Apr 12 Learning from Demonstrations for Real World Reinforcement Learning
- Apr 12 Deep Extreme Multi-label Learning
- Apr 12 Investigation on the use of Hidden-Markov Models in automatic transcription of music
- Apr 12 Energy Propagation in Deep Convolutional Neural Networks
- Apr 12 Sampling-based speech parameter generation using moment-matching networks
- Apr 12 Representation Stability as a Regularizer for Improved Text Analytics Transfer Learning
- Apr 12 Autoencode Your Networks
- Apr 12 Adversarial Attack Prevention
- Apr 11 Active classification with comparison queries
- Apr 11 Leveraging Term Banks for Answering Complex Questions: A Case for Sparse Vectors
- Apr 11 A Neural Representation of Sketch Drawings
- Apr 11 The Space of Transferable Adversarial Examples
- Apr 11 ENWalk: Learning Network Features for Spam Detection in Twitter
- Apr 11 Build a Pong Simulator
- Apr 11 Predicting Recomendations with TransNets
- Apr 11 Personalized Survival Predictions for Cardiac Transplantation via Trees of Predictors
- Apr 11 Sublinear Time Low-Rank Approximation of Positive Semidefinite Matrices
- Apr 11 Interpretable Explanations of Black Boxes by Meaningful Perturbation
- Apr 11 Persian Wordnet Construction using Supervised Learning
- Apr 11 On Feature Reduction using Deep Learning for Trend Prediction in Finance
- Apr 11 Simplified Stochastic Feedforward Neural Networks
- Apr 11 struc2vec: Learning Node Representations from Structural Identity
- Apr 11 Parametric Gaussian Process Regression for Big Data
- Apr 11 Federated Tensor Factorization for Computational Phenotyping
- Apr 10 Composite Task-Completion Dialogue System via Hierarchical Deep Reinforcement Learning
- Apr 10 WRPN: Training and Inference using Wide Reduced-Precision Networks
- Apr 10 Data-efficient Deep Reinforcement Learning for Dexterous Manipulation
- Apr 10 CERN: Confidence-Energy Recurrent Network for Group Activity Recognition
- Apr 10 Semantically Consistent Regularization for Zero-Shot Recognition
- Apr 10 Learning from Multi-View Structural Data via Structural Factorization Machines
- Apr 10 A probabilistic data-driven model for planar pushing
- Apr 10 Stochastic Neural Networks for Hierarchical Reinforcement Learning
- Apr 10 On the Fine-Grained Complexity of Empirical Risk Minimization: Kernel Methods and Neural Networks
- Apr 10 Multi-Agent Diverse Generative Adversarial Networks
- Apr 10 Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
- Apr 10 Can AIs learn to avoid human interruption?
- Apr 10 Deep Neural Network Based Precursor microRNA Prediction on Eleven Species
- Apr 10 Unsupervised prototype learning in an associative-memory network
- Apr 10 Voice Conversion Using Sequence-to-Sequence Learning of Context Posterior Probabilities
- Apr 10 Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes
- Apr 10 A Comparative Study for Predicting Heart Diseases Using Data Mining Classification Methods
- Apr 10 Bayesian Recurrent Neural Networks
- Apr 10 Bayesian Recurrent Neural Networks
- Apr 10 Parsimonious Random Vector Functional Link Network for Data Streams
- Apr 10 Group Importance Sampling for particle filtering and MCMC
- Apr 10 Distributed Learning for Cooperative Inference
- Apr 10 Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation
- Apr 10 Distribution-free Evolvability of Vector Spaces: All it takes is a Generating Set
- Apr 10 Word Embeddings via Tensor Factorization
- Apr 10 Learning Important Features Through Propagating Activation Differences
- Apr 10 Pyramid Vector Quantization for Deep Learning
- Apr 9 Supervised Infinite Feature Selection
- Apr 9 Dimensionality Reduction as a Defense against Evasion Attacks on Machine Learning Classifiers
- Apr 9 Dimensionality Reduction as a Defense against Evasion Attacks on Machine Learning Classifiers
- Apr 9 MLC Toolbox: A MATLAB/OCTAVE Library for Multi-Label Classification
- Apr 8 Deep Reinforcement Learning framework for Autonomous Driving
- Apr 7 A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
- Apr 7 Stein Variational Policy Gradient
- Apr 7 Uncovering Group Level Insights with Accordant Clustering
- Apr 7 Joint Probabilistic Linear Discriminant Analysis
- Apr 7 Fast Spectral Clustering Using Autoencoders and Landmarks
- Apr 7 Adversarial Generator-Encoder Networks
- Apr 7 TransNets: Learning to Transform for Recommendation
- Apr 7 Thresholding Bandits with Augmented UCB
- Apr 7 NILC-USP at SemEval-2017 Task 4: A Multi-view Ensemble for Twitter Sentiment Analysis
- Apr 7 Recurrent Environment Simulators
- Apr 7 Opinion Polarization by Learning from Social Feedback
- Apr 7 Echantillonnage de signaux sur graphes via des processus déterminantaux
- Apr 7 OBTAIN: Real-Time Beat Tracking in Audio Signals
- Apr 7 Variance Based Moving K-Means Algorithm
- Apr 7 Hierarchical Clustering: Objective Functions and Algorithms
- Apr 7 Quantum ensembles of quantum classifiers
- Apr 7 Jet Constituents for Deep Neural Network Based Top Quark Tagging
- Apr 7 Restricted Isometry Property of Gaussian Random Projection for Finite Set of Subspaces
- Apr 6 End to End Deep Neural Networks Radio receiver for Speech Signals
- Apr 6 Speech signals frequency modulation decoding via deep neural networks
- Apr 6 Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions
- Apr 6 Training Triplet Networks with GAN
- Apr 6 Statistical Efficiency of Compositional Nonparametric Prediction
- Apr 6 Better Faster Segmentation
- Apr 6 An Online Hierarchical Algorithm for Extreme Clustering
- Apr 6 Incremental Transductive Learning Approaches to Schistosomiasis Vector Classification
- Apr 6 Enabling Smart Data: Noise filtering in Big Data classification
- Apr 6 Time-Contrastive Learning Based Unsupervised DNN Feature Extraction for Speaker Verification
- Apr 6 Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models
- Apr 6 Adequacy of the Gradient-Descent Method for Classifier Evasion Attacks
- Apr 6 Learning Certifiably Optimal Rule Lists for Categorical Data
- Apr 5 Learning Combinatorial Optimization Algorithms over Graphs
- Apr 5 The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification
- Apr 5 Greed is Good: Near-Optimal Submodular Maximization via Greedy Optimization
- Apr 5 Nonnegative/binary matrix factorization with a D-Wave quantum annealer
- Apr 5 Bag-of-Words Method Applied to Accelerometer Measurements for the Purpose of Classification and Energy Estimation
- Apr 5 Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design
- Apr 5 Deep Learning and Quantum Physics : A Fundamental Bridge
- Apr 5 Comment on "Biologically inspired protection of deep networks from adversarial attacks"
- Apr 5 Convolutional Neural Networks for Page Segmentation of Historical Document Images
- Apr 5 Convolutional Neural Networks for Page Segmentation of Historical Document Images
- Apr 5 Comparison Based Nearest Neighbor Search
- Apr 5 Learning to Generate Reviews and Discovering Sentiment
- Apr 5 Learning to Generate Reviews and Discovering Sentiment
- Apr 5 OEC: Open-Ended Classification for Future-Proof Link-Fraud Detection
- Apr 5 OEC: Open-Ended Classification for Future-Proof Link-Fraud Detection
- Apr 5 Embodied Artificial Intelligence through Distributed Adaptive Control: An Integrated Framework
- Apr 5 Not All Pixels Are Equal: Difficulty-aware Semantic Segmentation via Deep Layer Cascade
- Apr 5 On Generalization and Regularization in Deep Learning
- Apr 5 On Generalization and Regularization in Deep Learning
- Apr 5 Revisiting the problem of audio-based hit song prediction using convolutional neural networks
- Apr 5 Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders
- Apr 5 Geometry of Factored Nuclear Norm Regularization
- Apr 5 Linear Additive Markov Processes
- Apr 4 Neural Message Passing for Quantum Chemistry
- Apr 4 Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks
- Apr 4 DyVEDeep: Dynamic Variable Effort Deep Neural Networks
- Apr 4 Satellite Image-based Localization via Learned Embeddings
- Apr 4 Probabilistic Search for Structured Data via Probabilistic Programming and Nonparametric Bayes
- Apr 4 Homotopy Parametric Simplex Method for Sparse Learning
- Apr 4 Polynomial Time and Sample Complexity for Non-Gaussian Component Analysis: Spectral Methods
- Apr 4 Automatic Breast Ultrasound Image Segmentation: A Survey
- Apr 4 Multi-Label Learning with Global and Local Label Correlation
- Apr 4 AMIDST: a Java Toolbox for Scalable Probabilistic Machine Learning
- Apr 3 Time Series Cluster Kernel for Learning Similarities between Multivariate Time Series with Missing Data
- Apr 3 Online and Linear-Time Attention by Enforcing Monotonic Alignments
- Apr 3 Brief Notes on Hard Takeoff, Value Alignment, and Coherent Extrapolated Volition
- Apr 3 A comparative study of counterfactual estimators
- Apr 3 Geometric Insights into Support Vector Machine Behavior using the KKT Conditions
- Apr 3 Multi-Advisor Reinforcement Learning
- Apr 3 No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis
- Apr 3 Soft-to-Hard Vector Quantization for End-to-End Learned Compression of Images and Neural Networks
- Apr 3 Local nearest neighbour classification with applications to semi-supervised learning
- Apr 3 On the Unreported-Profile-is-Negative Assumption for Predictive Cheminformatics
- Apr 3 Semi-Supervised Generation with Cluster-aware Generative Models
- Apr 3 Stop That Join! Discarding Dimension Tables when Learning High Capacity Classifiers
- Apr 3 Clustering in Hilbert simplex geometry
- Apr 3 On Kernelized Multi-armed Bandits
- Apr 2 Hidden Two-Stream Convolutional Networks for Action Recognition
- Apr 2 Provable Inductive Robust PCA via Iterative Hard Thresholding
- Apr 2 Understanding Concept Drift
- Apr 2 Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks
- Apr 1 Sequential Learning of Analysis Operators
- Apr 1 Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification
- Apr 1 Faster Subgradient Methods for Functions with Hölderian Growth
- Apr 1 Clustering-based Source-aware Assessment of True Robustness for Learning Models
- Apr 1 Snapshot Ensembles: Train 1, get M for free
- Apr 1 Assortment Optimization under Unknown MultiNomial Logit Choice Models
- Apr 1 SafetyNet: Detecting and Rejecting Adversarial Examples Robustly
- Mar 31 Improved Training of Wasserstein GANs
- Mar 31 On the Reliable Detection of Concept Drift from Streaming Unlabeled Data
- Mar 31 Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data
- Mar 31 Learning Visual Servoing with Deep Features and Fitted Q-Iteration
- Mar 31 Comparison of multi-task convolutional neural network (MT-CNN) and a few other methods for toxicity prediction
- Mar 31 Sentence Simplification with Deep Reinforcement Learning
- Mar 31 Feature functional theory - binding predictor (FFT-BP) for the blind prediction of binding free energies
- Mar 31 Bi-class classification of humpback whale sound units against complex background noise with Deep Convolution Neural Network
- Mar 31 A New Measure of Conditional Dependence for Causal Structural Learning
- Mar 31 Diabetic Retinopathy Detection via Deep Convolutional Networks for Discriminative Localization and Visual Explanation
- Mar 31 Diabetic Retinopathy Detection via Deep Convolutional Networks for Discriminative Localization and Visual Explanation
- Mar 31 Spectral Methods for Nonparametric Models
- Mar 31 Fundamental Conditions for Low-CP-Rank Tensor Completion
- Mar 31 BEGAN: Boundary Equilibrium Generative Adversarial Networks
- Mar 30 Near Perfect Protein Multi-Label Classification with Deep Neural Networks
- Mar 30 What-If Reasoning with Counterfactual Gaussian Processes
- Mar 30 Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention
- Mar 30 Diving into the shallows: a computational perspective on large-scale shallow learning
- Mar 30 Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity
- Mar 30 Bootstrapping Labelled Dataset Construction for Cow Tracking and Behavior Analysis
- Mar 30 The Informativeness of k-Means for Learning Gaussian Mixture Models
- Mar 30 On Bayesian Exponentially Embedded Family for Model Order Selection
- Mar 30 Application of a Shallow Neural Network to Short-Term Stock Trading
- Mar 30 On Fundamental Limits of Robust Learning
- Mar 30 End-to-End MAP Training of a Hybrid HMM-DNN Model
- Mar 30 From Deep to Shallow: Transformations of Deep Rectifier Networks
- Mar 30 Enter the Matrix: A Virtual World Approach to Safely Interruptable Autonomous Systems
- Mar 29 Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model
- Mar 29 Priv'IT: Private and Sample Efficient Identity Testing
- Mar 29 The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study
- Mar 29 Learning Inverse Mapping by Autoencoder based Generative Adversarial Nets
- Mar 29 Time Series Forecasting using RNNs: an Extended Attention Mechanism to Model Periods and Handle Missing Values
- Mar 29 Multiagent Bidirectionally-Coordinated Nets for Learning to Play StarCraft Combat Games
- Mar 29 Probabilistic Line Searches for Stochastic Optimization
- Mar 29 Efficient Private ERM for Smooth Objectives
- Mar 29 Grouped Convolutional Neural Networks for Multivariate Time Series
- Mar 29 Grouped Convolutional Neural Networks for Multivariate Time Series
- Mar 29 LabelBank: Revisiting Global Perspectives for Semantic Segmentation
- Mar 29 Solar Power Forecasting Using Support Vector Regression
- Mar 29 Multi-Scale Dense Convolutional Networks for Efficient Prediction
- Mar 29 Risk-Sensitive Inverse Reinforcement Learning via Gradient Methods
- Mar 28 Theory II: Landscape of the Empirical Risk in Deep Learning
- Mar 28 A Deep Compositional Framework for Human-like Language Acquisition in Virtual Environment
- Mar 28 Collective Anomaly Detection based on Long Short Term Memory Recurrent Neural Network
- Mar 28 Inverse Reinforcement Learning from Summary Data
- Mar 28 Hybrid Clustering based on Content and Connection Structure using Joint Nonnegative Matrix Factorization
- Mar 28 Early Stopping without a Validation Set
- Mar 28 Simulated Data Experiments for Time Series Classification Part 1: Accuracy Comparison with Default Settings
- Mar 28 Learned Spectral Super-Resolution
- Mar 28 SEGAN: Speech Enhancement Generative Adversarial Network
- Mar 28 Solving Non-parametric Inverse Problem in Continuous Markov Random Field using Loopy Belief Propagation
- Mar 28 Fast Optimization of Wildfire Suppression Policies with SMAC
- Mar 28 Factoring Exogenous State for Model-Free Monte Carlo
- Mar 28 Ensembles of Deep LSTM Learners for Activity Recognition using Wearables
- Mar 27 Iterative Noise Injection for Scalable Imitation Learning
- Mar 27 Adaptive Simulation-based Training of AI Decision-makers using Bayesian Optimization
- Mar 27 Goal-Driven Dynamics Learning via Bayesian Optimization
- Mar 27 Biologically inspired protection of deep networks from adversarial attacks
- Mar 27 Deep Architectures for Modulation Recognition
- Mar 27 Sticking the Landing: An Asymptotically Zero-Variance Gradient Estimator for Variational Inference
- Mar 27 Sticking the Landing: An Asymptotically Zero-Variance Gradient Estimator for Variational Inference
- Mar 27 Private Learning on Networks: Part II
- Mar 27 GPU Activity Prediction using Representation Learning
- Mar 27 Automatic Decomposition of Self-Triggering Kernels of Hawkes Processes
- Mar 27 Multimodal deep learning approach for joint EEG-EMG data compression and classification
- Mar 24 Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks
- Mar 24 Overcoming Catastrophic Forgetting by Incremental Moment Matching
- Mar 24 Batch-normalized joint training for DNN-based distant speech recognition
- Mar 24 K-Means Clustering using Tabu Search with Quantized Means
- Mar 24 Linear classifier design under heteroscedasticity in Linear Discriminant Analysis
- Mar 24 Asymmetric Learning Vector Quantization for Efficient Nearest Neighbor Classification in Dynamic Time Warping Spaces
- Mar 24 Smart Augmentation - Learning an Optimal Data Augmentation Strategy
- Mar 24 Feature Fusion using Extended Jaccard Graph and Stochastic Gradient Descent for Robot
- Mar 24 Multi-Level Discovery of Deep Options
- Mar 24 Experimental Identification of Hard Data Sets for Classification and Feature Selection Methods with Insights on Method Selection
- Mar 23 An embedded segmental k-means model for unsupervised segmentation and clustering of speech
- Mar 23 Online Distributed Learning Over Networks in RKH Spaces Using Random Fourier Features
- Mar 23 A learning-based approach to text image retrieval: using CNN features and improved similarity metrics
- Mar 23 A network of deep neural networks for distant speech recognition
- Mar 23 Discriminatively Boosted Image Clustering with Fully Convolutional Auto-Encoders
- Mar 22 Multitask Learning and Benchmarking with Clinical Time Series Data
- Mar 22 S-Concave Distributions: Towards Broader Distributions for Noise-Tolerant and Sample-Efficient Learning Algorithms
- Mar 22 Independently Controllable Features
- Mar 22 UBEV - A More Practical Algorithm for Episodic RL with Near-Optimal PAC and Regret Guarantees
- Mar 22 Characterization of Deterministic and Probabilistic Sampling Patterns for Finite Completability of Low Tensor-Train Rank Tensor
- Mar 22 Predicting Deeper into the Future of Semantic Segmentation
- Mar 22 Clustering for Different Scales of Measurement - the Gap-Ratio Weighted K-means Algorithm
- Mar 22 Deep Exploration via Randomized Value Functions
- Mar 22 Gate Activation Signal Analysis for Gated Recurrent Neural Networks and Its Correlation with Phoneme Boundaries
- Mar 22 LogitBoost autoregressive networks
- Mar 22 CNN-MERP: An FPGA-Based Memory-Efficient Reconfigurable Processor for Forward and Backward Propagation of Convolutional Neural Networks
- Mar 21 On The Projection Operator to A Three-view Cardinality Constrained Set
- Mar 21 One-Shot Imitation Learning
- Mar 21 From safe screening rules to working sets for faster Lasso-type solvers
- Mar 21 Black-Box Data-efficient Policy Search for Robotics
- Mar 21 ZM-Net: Real-time Zero-shot Image Manipulation Network
- Mar 21 Knowledge distillation using unlabeled mismatched images
- Mar 21 Layer-wise training of deep networks using kernel similarity
- Mar 21 SMILES Enumeration as Data Augmentation for Neural Network Modeling of Molecules
- Mar 21 Stochastic Primal Dual Coordinate Method with Non-Uniform Sampling Based on Optimality Violations
- Mar 21 Investigation of Language Understanding Impact for Reinforcement Learning Based Dialogue Systems
- Mar 21 High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks
- Mar 21 Nonparametric Variational Auto-encoders for Hierarchical Representation Learning
- Mar 21 Cross-modal Deep Metric Learning with Multi-task Regularization
- Mar 20 Deep Neural Networks Do Not Recognize Negative Images
- Mar 20 Counterfactual Fairness
- Mar 20 Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions
- Mar 20 Variance Reduced Stochastic Gradient Descent with Sufficient Decrease
- Mar 20 On the Use of Default Parameter Settings in the Empirical Evaluation of Classification Algorithms
- Mar 20 Efficient variational Bayesian neural network ensembles for outlier detection
- Mar 20 On the effect of pooling on the geometry of representations
- Mar 20 Independence clustering (without a matrix)
- Mar 20 QMDP-Net: Deep Learning for Planning under Partial Observability
- Mar 20 A Systematic Study of Online Class Imbalance Learning with Concept Drift
- Mar 20 Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning
- Mar 19 The Relationship Between Agnostic Selective Classification Active Learning and the Disagreement Coefficient
- Mar 17 Nonconvex One-bit Single-label Multi-label Learning
- Mar 17 Modeling Relational Data with Graph Convolutional Networks
- Mar 17 Block CUR : Decomposing Large Distributed Matrices
- Mar 17 Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge Computing
- Mar 17 Comparison of Different Methods for Tissue Segmentation in Histopathological Whole-Slide Images
- Mar 17 Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
- Mar 17 Learning Robust Visual-Semantic Embeddings
- Mar 17 Empirical Evaluation of Parallel Training Algorithms on Acoustic Modeling
- Mar 16 Conditional Accelerated Lazy Stochastic Gradient Descent
- Mar 16 Automatically identifying wild animals in camera trap images with deep learning
- Mar 16 Particle Value Functions
- Mar 16 End-to-End Learning for Structured Prediction Energy Networks
- Mar 16 Fraternal Twins: Unifying Attacks on Machine Learning and Digital Watermarking
- Mar 16 Shift Aggregate Extract Networks
- Mar 16 Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting
- Mar 16 Minimax Regret Bounds for Reinforcement Learning
- Mar 15 Cost-complexity pruning of random forests
- Mar 15 Aggregation of Classifiers: A Justifiable Information Granularity Approach
- Mar 15 Machine learning approach for early detection of autism by combining questionnaire and home video screening
- Mar 15 Prototypical Networks for Few-shot Learning
- Mar 15 A New Unbiased and Efficient Class of LSH-Based Samplers and Estimators for Partition Function Computation in Log-Linear Models
- Mar 15 Selective Harvesting over Networks
- Mar 15 Online Learning for Distribution-Free Prediction
- Mar 15 Deep learning with convolutional neural networks for brain mapping and decoding of movement-related information from the human EEG
- Mar 15 Matched bipartite block model with covariates
- Mar 15 Resilience: A Criterion for Learning in the Presence of Arbitrary Outliers
- Mar 15 Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis
- Mar 15 Budgeted Batch Bayesian Optimization With Unknown Batch Sizes
- Mar 14 Classification in biological networks with hypergraphlet kernels
- Mar 14 Neural Graph Machines: Learning Neural Networks Using Graphs
- Mar 14 Learned Optimizers that Scale and Generalize
- Mar 14 Network Constrained Distributed Dual Coordinate Ascent for Machine Learning
- Mar 14 Online Learning Rate Adaptation with Hypergradient Descent
- Mar 14 Discriminate-and-Rectify Encoders: Learning from Image Transformation Sets
- Mar 11 Real-Time Machine Learning: The Missing Pieces
- Mar 8 Byzantine-Tolerant Machine Learning
- Mar 7 An investigation into machine learning approaches for forecasting spatio-temporal demand in ride-hailing service
- Mar 4 Machine Learning Friendly Set Version of Johnson-Lindenstrauss Lemma