2021.9.13 Learning papers

 

09-09-2021

Supervised Linear Dimension-Reduction Methods: Review, Extensions, and Comparisons
by Shaojie Xu et al

09-08-2021

DAE : Discriminatory Auto-Encoder for multivariate time-series anomaly detection in air transportation
by Antoine Chevrot et al

09-10-2021

PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams
by Li Yang et al

09-08-2021

Uncertainty Quantification and Experimental Design for large-scale linear Inverse Problems under Gaussian Process Priors
by Cédric Travelletti et al

09-08-2021

Dual Correction Strategy for Ranking Distillation in Top-N Recommender System
by Youngjune Lee et al

09-07-2021

Robust Predictable Control
by Benjamin Eysenbach et al

09-09-2021

OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching
by Hana Hoshino et al

09-07-2021

Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression
by Canwen Xu et al

09-09-2021

Learning to Teach with Student Feedback
by Yitao Liu et al

09-08-2021

Open Aspect Target Sentiment Classification with Natural Language Prompts
by Ronald Seoh et al

09-08-2021

Knowledge mining of unstructured information: application to cyber-domain
by Tuomas Takko et al

09-10-2021

Mesh convolutional neural networks for wall shear stress estimation in 3D artery models
by Julian Suk et al

09-08-2021

Iterated Vector Fields and Conservatism, with Applications to Federated Learning
by Zachary Charles et al

09-07-2021

HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning
by Xinjun Cai et al

09-07-2021

CyGIL: A Cyber Gym for Training Autonomous Agents over Emulated Network Systems
by Li Li et al

09-08-2021

Convergence of Batch Asynchronous Stochastic Approximation With Applications to Reinforcement Learning
by Rajeeva L. Karandikar et al

09-09-2021

Truth Discovery in Sequence Labels from Crowds
by Nasim Sabetpour et al

09-07-2021

COCO Denoiser: Using Co-Coercivity for Variance Reduction in Stochastic Convex Optimization
by Manuel Madeira et al

09-10-2021

Rapid Model Architecture Adaption for Meta-Learning
by Yiren Zhao et al

09-08-2021

DeepAltTrip: Top-k Alternative Itineraries for Trip Recommendation
by Syed Md. Mukit Rashid et al

09-08-2021

Signal-domain representation of symbolic music for learning embedding spaces
by Mathieu Prang et al

09-07-2021

Predicting Mood Disorder Symptoms with Remotely Collected Videos Using an Interpretable Multimodal Dynamic Attention Fusion Network
by Tathagata Banerjee et al

09-07-2021

PAUSE: Positive and Annealed Unlabeled Sentence Embedding
by Lele Cao et al

09-08-2021

Detecting Attacks on IoT Devices using Featureless 1D-CNN
by Arshiya Khan et al

09-08-2021

Mean-Square Analysis with An Application to Optimal Dimension Dependence of Langevin Monte Carlo
by Ruilin Li et al

09-09-2021

QUINT: Node embedding using network hashing
by Debajyoti Bera et al

09-09-2021

Query-driven Segment Selection for Ranking Long Documents
by Youngwoo Kim et al

09-10-2021

A Study of Joint Graph Inference and Forecasting
by Daniel Zügner et al

09-09-2021

Extreme Bandits using Robust Statistics
by Sujay Bhatt et al

09-09-2021

Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning
by Preethi Lahoti et al

09-07-2021

Learning Fast Sample Re-weighting Without Reward Data
by Zizhao Zhang et al

09-09-2021

Coordinate Descent Methods for DC Minimization
by Ganzhao Yuan

09-07-2021

NumGPT: Improving Numeracy Ability of Generative Pre-trained Models
by Zhihua Jin et al

09-08-2021

Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis
by Ziyi Chen et al

09-09-2021

CINS: Comprehensive Instruction for Few-shot Learning in Task-orientedDialog Systems
by Fei Mi et al

09-07-2021

CRNNTL: convolutional recurrent neural network and transfer learning for QSAR modelling
by Yaqin Li et al

09-10-2021

Unsupervised classification of simulated magnetospheric regions
by Maria Elena Innocenti et al

09-10-2021

ReasonBERT: Pre-trained to Reason with Distant Supervision
by Xiang Deng et al

09-08-2021

Highly Scalable and Provably Accurate Classification in Poincare Balls
by Eli Chien et al

09-08-2021

A Survey on Machine Learning Techniques for Auto Labeling of Video, Audio, and Text Data
by Shikun Zhang et al

09-09-2021

An Experimental Study of Class Imbalance in Federated Learning
by C. Xiao et al

09-08-2021

Training Algorithm Matters for the Performance of Neural Network Potential
by Yunqi Shao et al

09-09-2021

Ergodic Limits, Relaxations, and Geometric Properties of Random Walk Node Embeddings
by Christy Lin et al

09-08-2021

Learning the Physics of Particle Transport via Transformers
by Oscar Pastor-Serrano et al

09-10-2021

Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning
by Li Zhou et al

09-08-2021

AdjointNet: Constraining machine learning models with physics-based codes
by Satish Karra et al

09-08-2021

Model Explanations via the Axiomatic Causal Lens
by Vignesh Viswanathan et al

09-09-2021

EEGDnet: Fusing Non-Local and Local Self-Similarity for 1-D EEG Signal Denoising with 2-D Transformer
by Peng Yi et al

09-07-2021

BERT based classification system for detecting rumours on Twitter
by Rini Anggrainingsih et al

09-09-2021

NeuralFMU: Towards Structural Integration of FMUs into Neural Networks
by Tobias Thummerer et al

09-07-2021

On the Convergence of Decentralized Adaptive Gradient Methods
by Xiangyi Chen et al

09-10-2021

Box Embeddings: An open-source library for representation learning using geometric structures
by Tejas Chheda et al

09-09-2021

ECQxx: Explainability-Driven Quantization for Low-Bit and Sparse DNNs
by Daniel Becking et al

09-09-2021

A Systematic Approach to Group Fairness in Automated Decision Making
by Corinna Hertweck et al

09-07-2021

Effective and interpretable dispatching rules for dynamic job shops via guided empirical learning
by Cristiane Ferreira et al

09-07-2021

Learning to Bid in Contextual First Price Auctions
by Ashwinkumar Badanidiyuru et al

09-07-2021

Revisiting Recursive Least Squares for Training Deep Neural Networks
by Chunyuan Zhang et al

09-07-2021

Semiparametric Bayesian Networks
by David Atienza et al

09-08-2021

Cross-lingual Offensive Language Identification for Low Resource Languages: The Case of Marathi
by Saurabh Gaikwad et al

09-08-2021

AppQ: Warm-starting App Recommendation Based on View Graphs
by Dan Su et al

09-08-2021

Desiderata for Representation Learning: A Causal Perspective
by Yixin Wang et al

09-09-2021

Cross DQN: Cross Deep Q Network for Ads Allocation in Feed
by Guogang Liao et al

09-08-2021

Estimating Expected Calibration Errors
by Nicolas Posocco et al

09-08-2021

Shuffled Patch-Wise Supervision for Presentation Attack Detection
by Alperen Kantarcı et al

09-08-2021

NU:BRIEF -- A Privacy-aware Newsletter Personalization Engine for Publishers
by Ernesto Diaz-Aviles et al

09-09-2021

NEAT: Neural Attention Fields for End-to-End Autonomous Driving
by Kashyap Chitta et al

09-10-2021

Citizen centric optimal electric vehicle charging stations locations in a full city: case of Malaga
by Christian Cintrano et al

09-08-2021

fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data
by Ruiyang Zhao et al

09-07-2021

Online Learning for Cooperative Multi-Player Multi-Armed Bandits
by William Chang et al

09-07-2021

Powering Comparative Classification with Sentiment Analysis via Domain Adaptive Knowledge Transfer
by Zeyu Li et al

09-10-2021

Unfolding Projection-free SDP Relaxation of Binary Graph Classifier via GDPA Linearization
by Cheng Yang et al

09-10-2021

EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling
by Jue Wang et al

09-07-2021

Efficient ADMM-based Algorithms for Convolutional Sparse Coding
by Farshad G. Veshki et al

09-09-2021

Mapping Research Topics in Software Testing: A Bibliometric Analysis
by Alireza Salahirad et al

09-09-2021

Leveraging Local Domains for Image-to-Image Translation
by Anthony Dell'Eva et al

09-07-2021

Instance-dependent Label-noise Learning under a Structural Causal Model
by Yu Yao et al

09-09-2021

Gradual (In)Compatibility of Fairness Criteria
by Corinna Hertweck et al

09-07-2021

Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction
by Zeyu Li et al

09-08-2021

Graph-MVP: Multi-View Prototypical Contrastive Learning for Multiplex Graphs
by Baoyu Jing et al

09-07-2021

Forward and Inverse models in HCI:Physical simulation and deep learning for inferring 3D finger pose
by Roderick Murray-Smith et al

09-07-2021

On the space of coefficients of a Feed Forward Neural Network
by Dinesh Valluri et al

09-10-2021

Efficient Locally Optimal Number Set Partitioning for Scheduling, Allocation and Fair Selection
by Kaan Gokcesu et al

09-08-2021

Deep Learning for Multi-View Ultrasonic Image Fusion
by Georgios Pilikos et al

09-08-2021

Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes
by Cristopher Salvi et al

09-08-2021

SensiX++: Bringing MLOPs and Multi-tenant Model Serving to Sensory Edge Devices
by Chulhong Min et al

09-09-2021

A Large-Scale Study of Machine Translation in the Turkic Languages
by Jamshidbek Mirzakhalov et al

09-09-2021

C-MinHash: Practically Reducing Two Permutations to Just One
by Xiaoyun Li et al

09-08-2021

Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking
by Whye Kit Fong et al

09-07-2021

ExCode-Mixed: Explainable Approaches towards Sentiment Analysis on Code-Mixed Data using BERT models
by Aman Priyanshu et al

09-08-2021

Where Did You Learn That From? Surprising Effectiveness of Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning
by Maziar Gomrokchi et al

09-08-2021

Constants of Motion: The Antidote to Chaos in Optimization and Game Dynamics
by Georgios Piliouras et al

09-09-2021

Cartography Active Learning
by Mike Zhang et al

09-09-2021

Dynamic Modeling of Hand-Object Interactions via Tactile Sensing
by Qiang Zhang et al

09-09-2021

NTS-NOTEARS: Learning Nonparametric Temporal DAGs With Time-Series Data and Prior Knowledge
by Xiangyu Sun et al

09-09-2021

Deciphering Environmental Air Pollution with Large Scale City Data
by Mayukh Bhattacharyya et al

09-11-2021

Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences
by Sarwan Ali; Murray Patterson

09-09-2021

TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting
by Haohai Sun et al

09-07-2021

Understanding Model Drift in a Large Cellular Network
by Shinan Liu et al

09-08-2021

Initialization for Nonnegative Matrix Factorization: a Comprehensive Review
by Sajad Fathi Hafshejani et al

09-09-2021

GNisi: A graph network for reconstructing Ising models from multivariate binarized data
by Emma Slade et al

09-08-2021

Deriving Explanation of Deep Visual Saliency Models
by Sai Phani Kumar Malladi et al

09-08-2021

FedZKT: Zero-Shot Knowledge Transfer towards Heterogeneous On-Device Models in Federated Learning
by Lan Zhang et al

09-08-2021

Forget me not: A Gentle Reminder to Mind the Simple Multi-Layer Perceptron Baseline for Text Classification
by Lukas Galke et al

09-08-2021

Axial multi-layer perceptron architecture for automatic segmentation of choroid plexus in multiple sclerosis
by Marius Schmidt-Mengin et al

09-08-2021

AgreementLearning: An End-to-End Framework for Learning with Multiple Annotators without Groundtruth
by Chongyang Wang et al

09-07-2021

AWGAN: Empowering High-Dimensional Discriminator Output for Generative Adversarial Networks
by Mengyu Dai et al

09-07-2021

Improving Phenotype Prediction using Long-Range Spatio-Temporal Dynamics of Functional Connectivity
by Simon Dahan et al

09-08-2021

On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)
by Washim Uddin Mondal et al

09-10-2021

Inverse design of 3d molecular structures with conditional generative neural networks
by Niklas W. A. Gebauer et al

09-10-2021

Artificial Text Detection via Examining the Topology of Attention Maps
by Laida Kushnareva et al

09-07-2021

Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access
by Nathan Ratledge et al

09-09-2021

Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems
by Athanasios N. Nikolakopoulos et al

09-09-2021

Identifying Morality Frames in Political Tweets using Relational Learning
by Shamik Roy et al

09-08-2021

Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids
by Martin Ringsquandl et al

09-09-2021

SanitAIs: Unsupervised Data Augmentation to Sanitize Trojaned Neural Networks
by Kiran Karra et al

09-08-2021

Distributionally Robust Multilingual Machine Translation
by Chunting Zhou et al

09-10-2021

Counterfactual Adversarial Learning with Representation Interpolation
by Wei Wang et al

09-09-2021

UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer
by Haonan Wang et al

09-10-2021

Automated Machine Learning, Bounded Rationality, and Rational Metareasoning
by Eyke Hüllermeier et al

09-10-2021

KNODE-MPC: A Knowledge-based Data-driven Predictive Control Framework for Aerial Robots
by Kong Yao Chee et al

09-08-2021

Simplified Quantum Algorithm for the Oracle Identification Problem
by Leila Taghavi

09-08-2021

Machine learning modeling of family wide enzyme-substrate specificity screens
by Samuel Goldman et al

09-09-2021

Multi-granularity Textual Adversarial Attack with Behavior Cloning
by Yangyi Chen et al

09-09-2021

Supervising the Decoder of Variational Autoencoders to Improve Scientific Utility
by Liyun Tu et al

09-09-2021

TENET: Temporal CNN with Attention for Anomaly Detection in Automotive Cyber-Physical Systems
by S. V. Thiruloga et al

09-10-2021

Integrating Approaches to Word Representation
by Yuval Pinter

09-09-2021

AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational Data
by Zhipeng Luo et al

09-09-2021

Relating Graph Neural Networks to Structural Causal Models
by Matej Zečević et al

09-08-2021

Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection
by Shulai Zhang et al

09-08-2021

Deep Reinforcement Learning for Equal Risk Pricing and Hedging under Dynamic Expectile Risk Measures
by Saeed Marzban et al

09-08-2021

MaterialsAtlas.org: A Materials Informatics Web App Platform for Materials Discovery and Survey of State-of-the-Art
by Jianjun Hu et al

09-07-2021

Optimal Reservoir Operations using Long Short-Term Memory Network
by Asha Devi Singh et al

09-07-2021

Simple Video Generation using Neural ODEs
by David Kanaa et al

09-08-2021

A robust approach for deep neural networks in presence of label noise: relabelling and filtering instances during training
by Anabel Gómez-Ríos et al

09-07-2021

GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition
by Zhi Zhang et al

09-09-2021

Bootstrapped Meta-Learning
by Sebastian Flennerhag et al

09-08-2021

PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems
by Ting-Han Fan et al

09-10-2021

Does Pretraining for Summarization Require Knowledge Transfer?
by Kundan Krishna et al

09-10-2021

Saliency Guided Experience Packing for Replay in Continual Learning
by Gobinda Saha et al

09-08-2021

Juvenile state hypothesis: What we can learn from lottery ticket hypothesis researches?
by Di Zhang

09-08-2021

Popularity Adjusted Block Models are Generalized Random Dot Product Graphs
by John Koo et al

09-08-2021

On the estimation of discrete choice models to capture irrational customer behaviors
by Sanjay Dominik Jena et al

09-09-2021

MetaXT: Meta Cross-Task Transfer between Disparate Label Spaces
by Srinagesh Sharma et al

09-09-2021

Quantum Machine Learning for Finance
by Marco Pistoia et al

09-09-2021

Fair Conformal Predictors for Applications in Medical Imaging
by Charles Lu et al

09-09-2021

Feature-based Individual Fairness in k-Clustering
by Debajyoti Kar et al

09-09-2021

SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings
by Hongkuan Zhou et al

09-09-2021

SPECTRA: Sparse Structured Text Rationalization
by Nuno Miguel Guerreiro et al

09-09-2021

Is Attention Better Than Matrix Decomposition?
by Zhengyang Geng et al

09-07-2021

Adversarial Parameter Defense by Multi-Step Risk Minimization
by Zhiyuan Zhang et al

09-09-2021

Compositional Affinity Propagation: When Clusters Have Compositional Structure
by Jacob Whitehill et al

09-09-2021

All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality
by William Timkey et al

09-08-2021

Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation
by Yuntao Du et al

09-07-2021

ICCAD Special Session Paper: Quantum-Classical Hybrid Machine Learning for Image Classification
by Mahabubul Alam et al

09-07-2021

Refinement of Hottopixx and its Postprocessing
by Tomohiko Mizutani

09-07-2021

Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud
by Michaela Hardt et al

09-08-2021

ADER:Adapting between Exploration and Robustness for Actor-Critic Methods
by Bo Zhou et al

09-07-2021

C-MinHash: Rigorously Reducing KK Permutations to Two
by Xiaoyun Li et al

09-07-2021

Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling
by Frank Po-Chen Lin et al

09-10-2021

Multimodal Federated Learning
by Yuchen Zhao et al

09-10-2021

Simulating the Effects of Eco-Friendly Transportation Selections for Air Pollution Reduction
by Keiichi Ochiai et al

09-10-2021

FR-Detect: A Multi-Modal Framework for Early Fake News Detection on Social Media Using Publishers Features
by Ali Jarrahi et al

09-10-2021

Block Pruning For Faster Transformers
by François Lagunas et al

09-08-2021

LSB: Local Self-Balancing MCMC in Discrete Spaces
by Emanuele Sansone

09-08-2021

System Optimization in Synchronous Federated Training: A Survey
by Zhifeng Jiang et al

09-10-2021

Best-Arm Identification in Correlated Multi-Armed Bandits
by Samarth Gupta et al

09-08-2021

Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models
by Steven Y. Feng et al

09-10-2021

Dual-State Capsule Networks for Text Classification
by Piyumal Demotte et al

09-10-2021

Multi-label Classification of Aircraft Heading Changes Using Neural Network to Resolve Conflicts
by Md Siddiqur Rahman et al

09-09-2021

Translate & Fill: Improving Zero-Shot Multilingual Semantic Parsing with Synthetic Data
by Massimo Nicosia et al

09-09-2021

ErfAct: Non-monotonic smooth trainable Activation Functions
by Koushik Biswas et al

09-10-2021

Active learning for reducing labeling effort in text classification tasks
by Pieter Floris Jacobs et al

09-07-2021

Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach
by Mahmoud Shoush et al

09-09-2021

Self-supervised Reinforcement Learning with Independently Controllable Subgoals
by Andrii Zadaianchuk et al

09-09-2021

Single Image 3D Object Estimation with Primitive Graph Networks
by Qian He et al

09-09-2021

Automated Security Assessment for the Internet of Things
by Xuanyu Duan et al

09-07-2021

Self-supervised Contrastive Cross-Modality Representation Learning for Spoken Question Answering
by Chenyu You et al

09-08-2021

Disentangling Alzheimers disease neurodegeneration from typical brain aging using machine learning
by Gyujoon Hwang et al

09-08-2021

A Clustering-aided Ensemble Method for Predicting Ridesourcing Demand in Chicago
by Xiaojian Zhang et al

09-08-2021

Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow
by Zhiding Liang et al

09-08-2021

Fixed Support Tree-Sliced Wasserstein Barycenter
by Yuki Takezawa et al

09-07-2021

RoadAtlas: Intelligent Platform for Automated Road Defect Detection and Asset Management
by Zhuoxiao Chen et al

09-07-2021

On the Fundamental Trade-offs in Learning Invariant Representations
by Bashir Sadeghi et al

09-09-2021

Toward a Perspectivist Turn in Ground Truthing for Predictive Computing
by Valerio Basile et al

09-08-2021

On Event-Driven Knowledge Graph Completion in Digital Factories
by Martin Ringsquandl et al

09-09-2021

ReLU Regression with Massart Noise
by Ilias Diakonikolas et al

09-09-2021

A Fast PC Algorithm with Reversed-order Pruning and A Parallelization Strategy
by Kai Zhang et al

09-08-2021

Matrix Completion of World Trade
by Gnecco Giorgio et al

09-09-2021

FedCon: A Contrastive Framework for Federated Semi-Supervised Learning
by Zewei Long et al

09-09-2021

Notes on Generalizing the Maximum Entropy Principle to Uncertain Data
by Kenneth Bogert

09-09-2021

PhysGNN: A Physics-Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image-Guided Neurosurgery
by Yasmin Salehi et al

09-09-2021

DROP: Deep relocating option policy for optimal ride-hailing vehicle repositioning
by Xinwu Qian et al

09-09-2021

Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees
by Hamid Reza Feyzmahdavian et al

09-09-2021

Versions of Gradient Temporal Difference Learning
by Donghwan Lee et al

09-09-2021

Bag of Tricks for Optimizing Transformer Efficiency
by Ye Lin et al

09-08-2021

Single Plane-Wave Imaging using Physics-Based Deep Learning
by Georgios Pilikos et al

09-07-2021

Learning Zero-sum Stochastic Games with Posterior Sampling
by Mehdi Jafarnia-Jahromi et al

09-08-2021

Computing on Functions Using Randomized Vector Representations
by E. Paxon Frady et al

09-09-2021

Neural Latents Benchmark 21: Evaluating latent variable models of neural population activity
by Felix Pei et al

09-08-2021

A Deep Reinforcement Learning Approach for Constrained Online Logistics Route Assignment
by Hao Zeng et al

09-10-2021

Knowledge-Aware Meta-learning for Low-Resource Text Classification
by Huaxiu Yao et al

09-08-2021

Conservative Policy Construction Using Variational Autoencoders for Logged Data with Missing Values
by Mahed Abroshan et al

09-08-2021

SORNet: Spatial Object-Centric Representations for Sequential Manipulation
by Wentao Yuan et al

09-09-2021

SONIC: A Sparse Neural Network Inference Accelerator with Silicon Photonics for Energy-Efficient Deep Learning
by Febin Sunny et al

09-07-2021

Few-shot Learning in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network with Adaptive Sample Pair Formation
by Kexin Feng et al

09-07-2021

Text-Free Prosody-Aware Generative Spoken Language Modeling
by Eugene Kharitonov et al

09-09-2021

Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness
by Fatemehsadat Mireshghallah et al

09-09-2021

Learning Opinion Summarizers by Selecting Informative Reviews
by Arthur Bražinskas et al

09-09-2021

Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal
by Lei Zhu et al

09-07-2021

Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation
by Haoran Yang et al

09-08-2021

Self-explaining variational posterior distributions for Gaussian Process models
by Sarem Seitz

09-08-2021

Priming PCA with EigenGame
by Bálint Máté et al

09-10-2021

Self-Attention Channel Combinator Frontend for End-to-End Multichannel Far-field Speech Recognition
by Rong Gong et al

09-09-2021

Fixing exposure bias with imitation learning needs powerful oracles
by Luca Hormann et al

09-10-2021

Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization
by Junpeng Liu et al

09-07-2021

OdoNet: Untethered Speed Aiding for Vehicle Navigation Without Hardware Wheeled Odometer
by Hailiang Tang et al

09-10-2021

Unsupervised Change Detection in Hyperspectral Images using Feature Fusion Deep Convolutional Autoencoders
by Debasrita Chakraborty et al

09-07-2021

Optimizing model-agnostic Random Subspace ensembles
by Vân Anh Huynh-Thu et al

09-10-2021

Fairness without the sensitive attribute via Causal Variational Autoencoder
by Vincent Grari et al

09-08-2021

YAHPO Gym -- Design Criteria and a new Multifidelity Benchmark for Hyperparameter Optimization
by Florian Pfisterer et al

09-08-2021

EMA: Auditing Data Removal from Trained Models
by Yangsibo Huang et al

09-08-2021

Class-conditioned Domain Generalization via Wasserstein Distributional Robust Optimization
by Jingge Wang et al

09-10-2021

Heading Estimation Using Ultra-Wideband Received Signal Strength and Gaussian Processes
by Daniil Lisus et al

09-10-2021

On the validity of pre-trained transformers for natural language processing in the software engineering domain
by Julian von der Mosel et al

09-07-2021

Regularized Learning in Banach Spaces
by Liren Huang et al

09-09-2021

Spatially Focused Attack against Spatiotemporal Graph Neural Networks
by Fuqiang Liu et al

09-09-2021

Unsupervised Causal Binary Concepts Discovery with VAE for Black-box Model Explanation
by Thien Q. Tran et al

09-09-2021

Mining Points of Interest via Address Embeddings: An Unsupervised Approach
by Abhinav Ganesan et al

09-08-2021

Diagnostics-Guided Explanation Generation
by Pepa Atanasova et al

09-10-2021

Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training
by Yu Meng et al

09-09-2021

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Neural Networks for Latent Budget Analysis of Compositional Data
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COLUMBUS: Automated Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption
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Tactile Image-to-Image Disentanglement of Contact Geometry from Motion-Induced Shear
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Enhancing Unsupervised Anomaly Detection with Score-Guided Network
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A Neural Tangent Kernel Perspective of Infinite Tree Ensembles
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BioNetExplorer: Architecture-Space Exploration of Bio-Signal Processing Deep Neural Networks for Wearables
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Protein Folding Neural Networks Are Not Robust
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Projected State-action Balancing Weights for Offline Reinforcement Learning
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Online Enhanced Semantic Hashing: Towards Effective and Efficient Retrieval for Streaming Multi-Modal Data
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An objective function for order preserving hierarchical clustering
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09-09-2021

On the use of Wasserstein metric in topological clustering of distributional data
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DeepEMO: Deep Learning for Speech Emotion Recognition
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R2-D2: A Modular Baseline for Open-Domain Question Answering
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RepNAS: Searching for Efficient Re-parameterizing Blocks
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Hybrid modeling of the human cardiovascular system using NeuralFMUs
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ProcK: Machine Learning for Knowledge-Intensive Processes
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Optimizing Quantum Variational Circuits with Deep Reinforcement Learning
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Leveraging Code Clones and Natural Language Processing for Log Statement Prediction
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Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights
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Social Media Monitoring for IoT Cyber-Threats
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Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph
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Learning from Uneven Training Data: Unlabeled, Single Label, and Multiple Labels
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The challenge of reproducible ML: an empirical study on the impact of bugs
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Stationary Density Estimation of It\^o Diffusions Using Deep Learning
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Fishr: Invariant Gradient Variances for Out-of-distribution Generalization
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Adaptive importance sampling for seismic fragility curve estimation
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MATE: Multi-view Attention for Table Transformer Efficiency
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6MapNet: Representing soccer players from tracking data by a triplet network
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Accounting for Variations in Speech Emotion Recognition with Nonparametric Hierarchical Neural Network
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Estimation of Corporate Greenhouse Gas Emissions via Machine Learning
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Understanding and Preparing Data of Industrial Processes for Machine Learning Applications
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Preprocessing and Modeling of Radial Fan Data for Health State Prediction
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A Review of Sound Source Localization with Deep Learning Methods
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Tom: Leveraging trend of the observed gradients for faster convergence
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Brand Label Albedo Extraction of eCommerce Products using Generative Adversarial Network
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Countering Online Hate Speech: An NLP Perspective
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Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model
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Local Augmentation for Graph Neural Networks
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Robust Optimal Classification Trees Against Adversarial Examples
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Energy Attack: On Transferring Adversarial Examples
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DAE-PINN: A Physics-Informed Neural Network Model for Simulating Differential-Algebraic Equations with Application to Power Networks
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HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints
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Craig Smith