2022.5.16 Learning papers

 

05-11-2022

Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
by Haokun Liu et al

05-12-2022

A Generalist Agent
by Scott Reed et al

05-10-2022

On learning agent-based models from data
by Corrado Monti et al

05-12-2022

One Model, Multiple Modalities: A Sparsely Activated Approach for Text, Sound, Image, Video and Code
by Yong Dai et al

05-12-2022

The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning
by Zixin Wen et al

05-10-2022

Reducing Activation Recomputation in Large Transformer Models
by Vijay Korthikanti et al

05-10-2022

Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory
by Harmanpreet Kaur et al

05-10-2022

On the Verge of Solving Rocket League using Deep Reinforcement Learning and Sim-to-sim Transfer
by Marco Pleines et al

05-10-2022

Symphony Generation with Permutation Invariant Language Model
by Jiafeng Liu et al

05-12-2022

Topologically-Aware Deformation Fields for Single-View 3D Reconstruction
by Shivam Duggal et al

05-11-2022

RITA: a Study on Scaling Up Generative Protein Sequence Models
by Daniel Hesslow et al

05-10-2022

A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning
by Archit Sharma et al

05-12-2022

Training Uncertainty-Aware Classifiers with Conformalized Deep Learning
by Bat-Sheva Einbinder et al

05-11-2022

Open Vocabulary Extreme Classification Using Generative Models
by Daniel Simig et al

05-10-2022

Fundamental limitations on optimization in variational quantum algorithms
by Hao-Kai Zhang et al

05-12-2022

Fair NLP Models with Differentially Private Text Encoders
by Gaurav Maheshwari et al

05-12-2022

kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval
by Ahmed El-Kishky et al

05-12-2022

Distinction Maximization Loss: Efficiently Improving Classification Accuracy, Uncertainty Estimation, and Out-of-Distribution Detection Simply Replacing the Loss and Calibrating
by David Macêdo et al

05-11-2022

Algebraic Machine Learning with an Application to Chemistry
by Ezzeddine El Sai et al

05-12-2022

E-Mail Assistant -- Automation of E-Mail Handling and Management using Robotic Process Automation
by Arpit Khare et al

05-10-2022

Extracting Latent Steering Vectors from Pretrained Language Models
by Nishant Subramani et al

05-13-2022

Upside-Down Reinforcement Learning Can Diverge in Stochastic Environments With Episodic Resets
by Miroslav Štrupl et al

05-12-2022

Exploiting Inductive Bias in Transformers for Unsupervised Disentanglement of Syntax and Semantics with VAEs
by Ghazi Felhi et al

05-12-2022

AiSocrates: Towards Answering Ethical Quandary Questions
by Yejin Bang et al

05-12-2022

Exploiting symmetry in variational quantum machine learning
by Johannes Jakob Meyer et al

05-11-2022

Pre-trained Language Models as Re-Annotators
by Chang Shu

05-10-2022

Learning to Answer Visual Questions from Web Videos
by Antoine Yang et al

05-10-2022

Improving genetic risk prediction across diverse population by disentangling ancestry representations
by Prashnna K Gyawali et al

05-10-2022

Efficient Risk-Averse Reinforcement Learning
by Ido Greenberg et al

05-12-2022

Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning
by Veit D. Wild et al

05-13-2022

Productivity Assessment of Neural Code Completion
by Albert Ziegler et al

05-12-2022

Virtual twins of nonlinear vibrating multiphysics microstructures: physics-based versus deep learning-based approaches
by Giorgio Gobat et al

05-10-2022

Deep learning based Chinese text sentiment mining and stock market correlation research
by Chenrui Zhang

05-12-2022

Zero-shot Code-Mixed Offensive Span Identification through Rationale Extraction
by Manikandan Ravikiran et al

05-11-2022

Quantum Self-Attention Neural Networks for Text Classification
by Guangxi Li et al

05-11-2022

Making Pre-trained Language Models Good Long-tailed Learners
by Chen Zhang et al

05-11-2022

Utilizing coarse-grained data in low-data settings for event extraction
by Osman Mutlu

05-10-2022

Hyperparameter optimization of hybrid quantum neural networks for car classification
by Asel Sagingalieva et al

05-11-2022

Deep Learning and Synthetic Media
by Raphaël Millière

05-10-2022

Universal Caching
by Ativ Joshi et al

05-10-2022

Dont Throw it Away! The Utility of Unlabeled Data in Fair Decision Making
by Miriam Rateike et al

05-10-2022

Developing cooperative policies for multi-stage reinforcement learning tasks
by Jordan Erskine et al

05-11-2022

RLOP: RL Methods in Option Pricing from a Mathematical Perspective
by Ziheng Chen

05-10-2022

Secure and Private Source Coding with Private Key and Decoder Side Information
by Onur Günlü et al

05-11-2022

RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalization
by Xintao Wang et al

05-10-2022

Explainable Deep Learning Methods in Medical Diagnosis: A Survey
by Cristiano Patrício et al

05-10-2022

Secure Federated Learning for Neuroimaging
by Dimitris Stripelis et al

05-11-2022

The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization
by Dmitry Kovalev et al

05-11-2022

Efficient Automated Deep Learning for Time Series Forecasting
by Difan Deng et al

05-11-2022

A globally convergent fast iterative shrinkage-thresholding algorithm with a new momentum factor for single and multi-objective convex optimization
by Hiroki Tanabe et al

05-11-2022

AutoKE: An automatic knowledge embedding framework for scientific machine learning
by Mengge Du et al

05-12-2022

Unified Source-Filter GAN with Harmonic-plus-Noise Source Excitation Generation
by Reo Yoneyama et al

05-10-2022

AI training resources for GLAM: a snapshot
by Andrew Darby et al

05-11-2022

Visualization Guidelines for Model Performance Communication Between Data Scientists and Subject Matter Experts
by Ashley Suh et al

05-10-2022

A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks
by Mingrui Liu et al

05-11-2022

Dimension-adaptive machine-learning-based quantum state reconstruction
by Sanjaya Lohani et al

05-11-2022

Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks
by Katherine M. Collins et al

05-10-2022

White-box Testing of NLP models with Mask Neuron Coverage
by Arshdeep Sekhon et al

05-12-2022

Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A Comprehensive Review
by Minghua Wang et al

05-12-2022

Framework for inferring empirical causal graphs from binary data to support multidimensional poverty analysis
by Chainarong Amornbunchornvej et al

05-10-2022

OTFPF: Optimal Transport-Based Feature Pyramid Fusion Network for Brain Age Estimation with 3D Overlapped ConvNeXt
by Yu Fu et al

05-11-2022

A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials
by Chuqiao Li et al

05-10-2022

Efficient Distributed Framework for Collaborative Multi-Agent Reinforcement Learning
by Shuhan Qi et al

05-13-2022

The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes
by Björn W. Schuller et al

05-10-2022

ALLSH: Active Learning Guided by Local Sensitivity and Hardness
by Shujian Zhang et al

05-11-2022

A time-varying study of Chinese investor sentiment, stock market liquidity and volatility: Based on deep learning BERT model and TVP-VAR model
by Chenrui Zhang et al

05-13-2022

The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation
by Tobias Domhan et al

05-11-2022

Automated differential equation solver based on the parametric approximation optimization
by Alexander Hvatov et al

05-13-2022

Improving Contextual Representation with Gloss Regularized Pre-training
by Yu Lin et al

05-12-2022

Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations
by Negin Heravi et al

05-11-2022

An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity
by Wei Liu et al

05-11-2022

Improved Meta Learning for Low Resource Speech Recognition
by Satwinder Singh et al

05-12-2022

Embodied vision for learning object representations
by Arthur Aubret et al

05-11-2022

Aggregating Pairwise Semantic Differences for Few-Shot Claim Veracity Classification
by Xia Zeng et al

05-10-2022

Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
by Julian Wörmann et al

05-11-2022

Leveraging Uncertainty for Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images
by Soufiane Belharbi et al

05-11-2022

Unsupervised machine learning for physical concepts
by Ruyu Yang

05-10-2022

A Unified f-divergence Framework Generalizing VAE and GAN
by Jaime Roquero Gimenez et al

05-13-2022

Interlock-Free Multi-Aspect Rationalization for Text Classification
by Shuangqi Li et al

05-12-2022

ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent Training
by Yue Zhao et al

05-10-2022

Sibylvariant Transformations for Robust Text Classification
by Fabrice Harel-Canada et al

05-11-2022

Scream Detection in Heavy Metal Music
by Vedant Kalbag et al

05-10-2022

Weakly-supervised segmentation of referring expressions
by Robin Strudel et al

05-11-2022

DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision
by Erik Wallin et al

05-13-2022

l-Leaks: Membership Inference Attacks with Logits
by Shuhao Li et al

05-10-2022

Social Inclusion in Curated Contexts: Insights from Museum Practices
by Han-Yin Huang et al

05-12-2022

Deep Learning for Prawn Farming: Forecasting and Anomaly Detection
by Joel Janek Dabrowski et al

05-13-2022

Deep Reinforcement Learning for Computational Fluid Dynamics on HPC Systems
by Marius Kurz et al

05-12-2022

Equivariant quantum circuits for learning on weighted graphs
by Andrea Skolik et al

05-12-2022

Image Segmentation with Topological Priors
by Shakir Showkat Sofi et al

05-12-2022

Towards Robust Unsupervised Disentanglement of Sequential Data -- A Case Study Using Music Audio
by Yin-Jyun Luo et al

05-10-2022

Spatial-temporal associations representation and application for process monitoring using graph convolution neural network
by Hao Ren et al

05-11-2022

Contrastive Supervised Distillation for Continual Representation Learning
by Tommaso Barletti et al

05-11-2022

Ranked Prioritization of Groups in Combinatorial Bandit Allocation
by Lily Xu et al

05-12-2022

Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation
by Ho Hin Lee et al

05-12-2022

Low-variance estimation in the Plackett-Luce model via quasi-Monte Carlo sampling
by Alexander Buchholz et al

05-11-2022

CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients
by Nima Hatami et al

05-10-2022

Human Language Modeling
by Nikita Soni et al

05-10-2022

Matrix and graph representations of vine copula structures
by Dániel Pfeifer et al

05-10-2022

Real-time Forecasting of Time Series in Financial Markets Using Sequentially Trained Many-to-one LSTMs
by Kelum Gajamannage et al

05-10-2022

DNS based In-Browser Cryptojacking Detection
by Rohit Kumar Sachan et al

05-12-2022

Accounting for the Sequential Nature of States to Learn Features for Reinforcement Learning
by Nathan Michlo et al

05-10-2022

Best of Both Worlds: Multi-task Audio-Visual Automatic Speech Recognition and Active Speaker Detection
by Otavio Braga et al

05-13-2022

Data-Driven Upper Bounds on Channel Capacity
by Christian Häger et al

05-11-2022

End-to-End Multi-Person Audio/Visual Automatic Speech Recognition
by Otavio Braga et al

05-12-2022

Adaptive Block Floating-Point for Analog Deep Learning Hardware
by Ayon Basumallik et al

05-12-2022

Sample Complexity Bounds for Robustly Learning Decision Lists against Evasion Attacks
by Pascale Gourdeau et al

05-12-2022

Test-time Fourier Style Calibration for Domain Generalization
by Xingchen Zhao et al

05-11-2022

Blockchain-based Secure Client Selection in Federated Learning
by Truc Nguyen et al

05-12-2022

Smooth-Reduce: Leveraging Patches for Improved Certified Robustness
by Ameya Joshi et al

05-13-2022

Analyzing Hate Speech Data along Racial, Gender and Intersectional Axes
by Antonis Maronikolakis et al

05-12-2022

Fast Conditional Network Compression Using Bayesian HyperNetworks
by Phuoc Nguyen et al

05-11-2022

How Platform-User Power Relations Shape Algorithmic Accountability: A Case Study of Instant Loan Platforms and Financially Stressed Users in India
by Divya Ramesh et al

05-12-2022

Localized Vision-Language Matching for Open-vocabulary Object Detection
by Maria A. Bravo et al

05-10-2022

Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random
by Haoxuan Li et al

05-11-2022

Hierarchical Collaborative Hyper-parameter Tuning
by Ahmad Esmaeili et al

05-12-2022

Delving into High-Quality Synthetic Face Occlusion Segmentation Datasets
by Kenny T. R. Voo et al

05-10-2022

Theory of Quantum Generative Learning Models with Maximum Mean Discrepancy
by Yuxuan Du et al

05-10-2022

Disentangling A Single MR Modality
by Lianrui Zuo et al

05-11-2022

Over-the-Air Federated Learning with Joint Adaptive Computation and Power Control
by Haibo Yang et al

05-12-2022

Interpretable Climate Change Modeling With Progressive Cascade Networks
by Charles Anderson et al

05-12-2022

Warm-starting DARTS using meta-learning
by Matej Grobelnik et al

05-12-2022

SIBILA: High-performance computing and interpretable machine learning join efforts toward personalised medicine in a novel decision-making tool
by Antonio Jesús Banegas-Luna et al

05-12-2022

Learning Generalized Policies Without Supervision Using GNNs
by Simon Ståhlberg et al

05-11-2022

A Closer Look at Audio-Visual Multi-Person Speech Recognition and Active Speaker Selection
by Otavio Braga et al

05-13-2022

A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification
by Cheng Chang et al

05-12-2022

Machine Learning Workflow to Explain Black-box Models for Early Alzheimers Disease Classification Evaluated for Multiple Datasets
by Louise Bloch et al

05-13-2022

Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction
by Daniel Reisenbüchler et al

05-11-2022

Choice of training label matters: how to best use deep learning for quantitative MRI parameter estimation
by Sean C. Epstein et al

05-11-2022

DNA data storage, sequencing data-carrying DNA
by Jasmine Quah et al

05-12-2022

Addressing Census data problems in race imputation via fully Bayesian Improved Surname Geocoding and name supplements
by Kosuke Imai et al

05-11-2022

Delayed Reinforcement Learning by Imitation
by Pierre Liotet et al

05-12-2022

Comments on: Hybrid Semiparametric Bayesian Networks
by Marco Scutari

05-13-2022

StyLandGAN: A StyleGAN based Landscape Image Synthesis using Depth-map
by Gunhee Lee et al

05-11-2022

Performance of a deep learning system for detection of referable diabetic retinopathy in real clinical settings
by Verónica Sánchez-Gutiérrez et al

05-11-2022

Orthogonal Gromov-Wasserstein Discrepancy with Efficient Lower Bound
by Hongwei Jin et al

05-11-2022

Cross-domain Few-shot Meta-learning Using Stacking
by Hongyu Wang et al

05-10-2022

SmartSAGE: Training Large-scale Graph Neural Networks using In-Storage Processing Architectures
by Yunjae Lee et al

05-10-2022

Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures
by Yongji Wu et al

05-12-2022

Design and Implementation of a Quantum Kernel for Natural Language Processing
by Matt Wright

05-13-2022

Convergence Analysis of Deep Residual Networks
by Wentao Huang et al

05-12-2022

Contingency-constrained economic dispatch with safe reinforcement learning
by Michael Eichelbeck et al

05-10-2022

Flow Completion Network: Inferring the Fluid Dynamics from Incomplete Flow Information using Graph Neural Networks
by Xiaodong He et al

05-12-2022

Subgroup discovery of Parkinsons Disease by utilizing a multi-modal smart device system
by Catharina Marie van Alen et al

05-10-2022

Exploring Viable Algorithmic Options for Learning from Demonstration (LfD): A Parameterized Complexity Approach
by Todd Wareham

05-12-2022

PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning
by Hongbin Liu et al

05-13-2022

Distributed Transmission Control for Wireless Networks using Multi-Agent Reinforcement Learning
by Collin Farquhar et al

05-11-2022

DeepFilterNet2: Towards Real-Time Speech Enhancement on Embedded Devices for Full-Band Audio
by Hendrik Schröter et al

05-13-2022

Kronecker Decomposition for Knowledge Graph Embeddings
by Caglar Demir et al

05-13-2022

Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation
by Tim Zhang et al

05-11-2022

Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots
by Sabrina M. Neuman et al

05-13-2022

Principal-Agent Hypothesis Testing
by Stephen Bates et al

05-10-2022

Designing a Recurrent Neural Network to Learn a Motion Planner for High-Dimensional Inputs
by Johnathan Chiu

05-12-2022

Ensemble Clustering via Co-association Matrix Self-enhancement
by Yuheng Jia et al

05-13-2022

Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions
by Jiafan He et al

05-13-2022

Multiple Domain Causal Networks
by Tianhui Zhou et al

05-12-2022

αα-GAN: Convergence and Estimation Guarantees
by Gowtham R. Kurri et al

05-13-2022

OFedQIT: Communication-Efficient Online Federated Learning via Quantization and Intermittent Transmission
by Jonghwan Park et al

05-12-2022

Social learning via actions in bandit environments
by Aroon Narayanan

05-13-2022

Improving Astronomical Time-series Classification via Data Augmentation with Generative Adversarial Networks
by Germán García-Jara et al

05-13-2022

The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials
by Ilyes Batatia et al

05-11-2022

Predicting hot electrons free energies from ground-state data
by Chiheb Ben Mahmoud et al

05-11-2022

NDGGNET-A Node Independent Gate based Graph Neural Networks
by Ye Tang et al

05-11-2022

LSI: A Learned Secondary Index Structure
by Andreas Kipf et al

05-12-2022

Secure Aggregation for Federated Learning in Flower
by Kwing Hei Li et al

05-11-2022

Stochastic first-order methods for average-reward Markov decision processes
by Tianjiao Li et al

05-11-2022

A Survey on Fairness for Machine Learning on Graphs
by Manvi Choudhary et al

05-11-2022

Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification
by Steven Jorgensen et al

05-13-2022

On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning
by Wenxuan Bao et al

05-12-2022

Neural Network-based OFDM Receiver for Resource Constrained IoT Devices
by Nasim Soltani et al

05-13-2022

EyeDAS: Securing Perception of Autonomous Cars Against the Stereoblindness Syndrome
by Efrat Levy et al

05-11-2022

Reducing a complex two-sided smartwatch examination for Parkinsons Disease to an efficient one-sided examination preserving machine learning accuracy
by Alexander Brenner et al

05-11-2022

Exploring Local Explanations of Nonlinear Models Using Animated Linear Projections
by Nicholas Spyrison et al

05-10-2022

Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks
by Wentao Yu et al

05-12-2022

Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation
by Shansan Gong et al

05-12-2022

Multimodal Indoor Localisation for Measuring Mobility in Parkinsons Disease using Transformers
by Ferdian Jovan et al

05-11-2022

An Empirical Study Of Self-supervised Learning Approaches For Object Detection With Transformers
by Gokul Karthik Kumar et al

05-11-2022

RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation
by Pingchuan Ma et al

05-10-2022

A 14uJ/Decision Keyword Spotting Accelerator with In-SRAM-Computing and On Chip Learning for Customization
by Yu-Hsiang Chiang et al

05-13-2022

Precise Change Point Detection using Spectral Drift Detection
by Fabian Hinder et al

05-11-2022

A Survey of Risk-Aware Multi-Armed Bandits
by Vincent Y. F. Tan et al

05-11-2022

Detecting Emerging Technologies and their Evolution using Deep Learning and Weak Signal Analysis
by Ashkan Ebadi et al

05-13-2022

Convergence of Deep Neural Networks with General Activation Functions and Pooling
by Wentao Huang et al

05-11-2022

Subspace Learning Machine (SLM): Methodology and Performance
by Hongyu Fu et al

05-12-2022

Controlling chaotic itinerancy in laser dynamics for reinforcement learning
by Ryugo Iwami et al

05-11-2022

eFedDNN: Ensemble based Federated Deep Neural Networks for Trajectory Mode Inference
by Daniel Opoku Mensah et al

05-10-2022

Tensor-based Collaborative Filtering With Smooth Ratings Scale
by Nikita Marin et al

05-11-2022

Performing Video Frame Prediction of Microbial Growth with a Recurrent Neural Network
by Connor Robertson et al

05-10-2022

Explainable Data Imputation using Constraints
by Sandeep Hans et al

05-12-2022

NER-MQMRC: Formulating Named Entity Recognition as Multi Question Machine Reading Comprehension
by Anubhav Shrimal et al

05-13-2022

Heavy-Tail Phenomenon in Decentralized SGD
by Mert Gurbuzbalaban et al

05-11-2022

Stochastic Variational Smoothed Model Checking
by Luca Bortolussi et al

05-12-2022

Multi-Environment Meta-Learning in Stochastic Linear Bandits
by Ahmadreza Moradipari et al

05-12-2022

Using Natural Sentences for Understanding Biases in Language Models
by Sarah Alnegheimish et al

05-11-2022

Learning to Guide Multiple Heterogeneous Actors from a Single Human Demonstration via Automatic Curriculum Learning in StarCraft II
by Nicholas Waytowich et al

05-10-2022

Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection
by Thomas Power et al

05-11-2022

Weak Supervision with Incremental Source Accuracy Estimation
by Richard Gresham Correro

05-10-2022

Real-Time Wearable Gait Phase Segmentation For Running And Walking
by Jien-De Sui et al

05-10-2022

Turtle Score -- Similarity Based Developer Analyzer
by Sanjjushri Varshini et al

05-12-2022

How to Combine Membership-Inference Attacks on Multiple Updated Models
by Matthew Jagielski et al

05-11-2022

Privacy-Preserving Distributed Machine Learning Made Faster
by Zoe L. Jiang et al

05-10-2022

Spike-based computational models of bio-inspired memories in the hippocampal CA3 region on SpiNNaker
by Daniel Casanueva-Morato et al

05-10-2022

Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization
by Shouri Hu et al

05-10-2022

THOR: Threshold-Based Ranking Loss for Ordinal Regression
by Tzeviya Sylvia Fuchs et al

05-10-2022

Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks
by Jiaqiang Zhang et al

05-13-2022

Embodied-Symbolic Contrastive Graph Self-Supervised Learning for Molecular Graphs
by Daniel T. Chang

05-11-2022

Automatic Tuberculosis and COVID-19 cough classification using deep learning
by Madhurananda Pahar et al

05-11-2022

Evaluation Gaps in Machine Learning Practice
by Ben Hutchinson et al

05-12-2022

Collaborative Multi-agent Stochastic Linear Bandits
by Ahmadreza Moradipari et al

05-12-2022

GPN: A Joint Structural Learning Framework for Graph Neural Networks
by Qianggang Ding et al

05-11-2022

Individual Fairness Guarantees for Neural Networks
by Elias Benussi et al

05-13-2022

FastSTMF: Efficient tropical matrix factorization algorithm for sparse data
by Amra Omanović et al

05-11-2022

Representation Learning for Context-Dependent Decision-Making
by Yuzhen Qin et al

05-11-2022

A simple framework for contrastive learning phases of matter
by Xiao-Qi Han et al

05-11-2022

Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization
by Hao Wang et al

05-10-2022

Training Personalized Recommendation Systems from (GPU) Scratch: Look Forward not Backwards
by Youngeun Kwon et al

05-10-2022

Deep Gait Tracking With Inertial Measurement Unit
by Jien De Sui et al

05-10-2022

Cognitive Visual-learning Environment for PostgreSQL
by Manuela Nayantara Jeyaraj et al

05-10-2022

Salient Object Detection via Bounding-box Supervision
by Mengqi He et al

05-13-2022

A Vision Inspired Neural Network for Unsupervised Anomaly Detection in Unordered Data
by Nassir Mohammad

05-12-2022

Improving Sequential Query Recommendation with Immediate User Feedback
by Shameem A Puthiya Parambath et al

05-11-2022

What is Proxy Discrimination?
by Michael Carl Tschantz

05-12-2022

KASAM: Spline Additive Models for Function Approximation
by Heinrich van Deventer et al

05-13-2022

Emergent Bartering Behaviour in Multi-Agent Reinforcement Learning
by Michael Bradley Johanson et al

05-12-2022

Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction
by Jiahua Rao et al

05-13-2022

Collaborative Drug Discovery: Inference-level Data Protection Perspective
by Balazs Pejo et al

05-13-2022

DualCF: Efficient Model Extraction Attack from Counterfactual Explanations
by Yongjie Wang et al

05-10-2022

A spatial-temporal short-term traffic flow prediction model based on dynamical-learning graph convolution mechanism
by Zhijun Chen et al

05-13-2022

Provably Safe Reinforcement Learning: A Theoretical and Experimental Comparison
by Hanna Krasowski et al

05-11-2022

Access Trends of In-network Cache for Scientific Data
by Ruize Han et al

05-11-2022

Machine Learning to Support Triage of Children at Risk for Epileptic Seizures in the Pediatric Intensive Care Unit
by Raphael Azriel et al

05-13-2022

Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints
by Monica Ribero et al

05-11-2022

Analysis of convolutional neural network image classifiers in a rotationally symmetric model
by Michael Kohler et al

05-13-2022

A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
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Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models
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Generation of non-stationary stochastic fields using Generative Adversarial Networks with limited training data
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Deep fusion of gray level co-occurrence matrices for lung nodule classification
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Characterizing the Action-Generalization Gap in Deep Q-Learning
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DRBM-ClustNet: A Deep Restricted Boltzmann-Kohonen Architecture for Data Clustering
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Accelerometry-based classification of circulatory states during out-of-hospital cardiac arrest
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Uninorm-like parametric activation functions for human-understandable neural models
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Exploring the structure-property relations of thin-walled, 2D extruded lattices using neural networks
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Learning Keypoints from Synthetic Data for Robotic Cloth Folding
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Theory and Implementation of Process and Temperature Scalable Shape-based CMOS Analog Circuits
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Deep-Learned Generators of Porosity Distributions Produced During Metal Additive Manufacturing
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Sharp Asymptotics of Kernel Ridge Regression Beyond the Linear Regime
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On Distributed Adaptive Optimization with Gradient Compression
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Is calibration a fairness requirement? An argument from the point of view of moral philosophy and decision theory
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Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting
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Self-Supervised Anomaly Detection: A Survey and Outlook
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Detecting Rumours with Latency Guarantees using Massive Streaming Data
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CVTT: Cross-Validation Through Time
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Integrating User and Item Reviews in Deep Cooperative Neural Networks for Movie Recommendation
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Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisation
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Robust Data-Driven Output Feedback Control via Bootstrapped Multiplicative Noise
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ConfLab: A Rich Multimodal Multisensor Dataset of Free-Standing Social Interactions In-the-Wild
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Craig Smith