2021.1.25 AI papers

 

01-21-2021

Noisy intermediate-scale quantum (NISQ) algorithms
by Kishor Bharti et al

01-21-2021

Unifying Cardiovascular Modelling with Deep Reinforcement Learning for Uncertainty Aware Control of Sepsis Treatment
by Thesath Nanayakkara et al

01-21-2021

Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
by Huan Zhang et al

01-21-2021

Mindless Attractor: A False-Positive Resistant Intervention for Drawing Attention Using Auditory Perturbation
by Riku Arakawa et al

01-20-2021

UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers
by Siyi Hu et al

01-20-2021

Generative Zero-shot Network Quantization
by Xiangyu He et al

01-21-2021

Activity Graph Transformer for Temporal Action Localization
by Megha Nawhal et al

01-21-2021

Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning
by Zhaowei Cai et al

01-21-2021

A two-stage data association approach for 3D Multi-object Tracking
by Minh-Quan Dao et al

01-21-2021

Adv-OLM: Generating Textual Adversaries via OLM
by Vijit Malik et al

01-20-2021

Collision-Free Flocking with a Dynamic Squad of Fixed-Wing UAVs Using Deep Reinforcement Learning
by Chao Yan et al

01-19-2021

Directed Acyclic Graph Neural Networks
by Veronika Thost et al

01-21-2021

Distilling Large Language Models into Tiny and Effective Students using pQRNN
by Prabhu Kaliamoorthi et al

01-21-2021

Validating Label Consistency in NER Data Annotation
by Qingkai Zeng et al

01-20-2021

Deep Reinforcement Learning with Spatio-temporal Traffic Forecasting for Data-Driven Base Station Sleep Control
by Qiong Wu et al

01-20-2021

Do we need to go Deep? Knowledge Tracing with Big Data
by Varun Mandalapu et al

01-19-2021

Paraconsistent Foundations for Quantum Probability
by Ben Goertzel

01-21-2021

Rate Region for Indirect Multiterminal Source Coding in Federated Learning
by Naifu Zhang et al

01-19-2021

Spatial Assembly: Generative Architecture With Reinforcement Learning, Self Play and Tree Search
by Panagiotis Tigas et al

01-20-2021

Finite Model Theory of the Triguarded Fragment and Related Logics
by Emanuel Kieroński et al

01-19-2021

Disentangled Recurrent Wasserstein Autoencoder
by Jun Han et al

01-21-2021

Boost then Convolve: Gradient Boosting Meets Graph Neural Networks
by Sergei Ivanov et al

01-20-2021

Zero-Cost Proxies for Lightweight NAS
by Mohamed S. Abdelfattah et al

01-22-2021

DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation
by Ziyuan Zhao et al

01-20-2021

Discussion of Ensemble Learning under the Era of Deep Learning
by Yongquan Yang et al

01-19-2021

A System for Automated Open-Source Threat Intelligence Gathering and Management
by Peng Gao et al

01-20-2021

Learning based signal detection for MIMO systems with unknown noise statistics
by Ke He et al

01-19-2021

IntentNet: Learning to Predict Intention from Raw Sensor Data
by Sergio Casas et al

01-21-2021

Knowledge Generation -- Variational Bayes on Knowledge Graphs
by Florian Wolf

01-22-2021

Gravity Optimizer: a Kinematic Approach on Optimization in Deep Learning
by Dariush Bahrami et al

01-22-2021

Selfish Sparse RNN Training
by Shiwei Liu et al

01-21-2021

A Spike Learning System for Event-driven Object Recognition
by Shibo Zhou et al

01-19-2021

Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments
by Timothée Anne et al

01-19-2021

Situation and Behavior Understanding by Trope Detection on Films
by Chen-Hsi Chang et al

01-20-2021

DynaComm: Accelerating Distributed CNN Training between Edges and Clouds through Dynamic Communication Scheduling
by Shangming Cai et al

01-20-2021

mt5b3: A Framework for Building AutonomousTraders
by Paulo André Lima de Castro

01-20-2021

Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data
by Francesco Cartella et al

01-20-2021

SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism
by Qingyun Sun et al

01-21-2021

Adversarial Machine Learning for Flooding Attacks on 5G Radio Access Network Slicing
by Yi Shi et al

01-19-2021

Internet of Predictable Things (IoPT) Framework to Increase Cyber-Physical System Resiliency
by Umit Cali et al

01-21-2021

Occlusion Handling in Generic Object Detection: A Review
by Kaziwa Saleh et al

01-19-2021

WeChat AIs Submission for DSTC9 Interactive Dialogue Evaluation Track
by Zekang Li et al

01-20-2021

Classifying Scientific Publications with BERT -- Is Self-Attention a Feature Selection Method?
by Andres Garcia-Silva et al

01-19-2021

Choice Set Misspecification in Reward Inference
by Rachel Freedman et al

01-21-2021

How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations
by Sérgio Jesus et al

01-22-2021

The heads hypothesis: A unifying statistical approach towards understanding multi-headed attention in BERT
by Madhura Pande et al

01-21-2021

GPU-Accelerated Optimizer-Aware Evaluation of Submodular Exemplar Clustering
by Philipp-Jan Honysz et al

01-21-2021

Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation
by Ye Liu et al

01-19-2021

Illuminating the Space of Beatable Lode Runner Levels Produced By Various Generative Adversarial Networks
by Kirby Steckel et al

01-21-2021

Bridging the gap between Human Action Recognition and Online Action Detection
by Alban Main de Boissiere et al

01-22-2021

A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations
by Barry Smyth et al

01-21-2021

Crossbreeding in Random Forest
by Abolfazl Nadi et al

01-19-2021

GLocalX -- From Local to Global Explanations of Black Box AI Models
by Mattia Setzu et al

01-20-2021

A New Knowledge Gradient-based Method for Constrained Bayesian Optimization
by Wenjie Chen et al

01-20-2021

Shielding Atari Games with Bounded Prescience
by Mirco Giacobbe et al

01-20-2021

Bias in ontologies -- a preliminary assessment
by C. Maria Keet

01-22-2021

Artificial intelligence prediction of stock prices using social media
by Kavyashree Ranawat et al

01-21-2021

Variable Division and Optimization for Constrained Multiobjective Portfolio Problems
by Yi Chen et al

01-19-2021

PGT: Pseudo Relevance Feedback Using a Graph-Based Transformer
by HongChien Yu et al

01-22-2021

Deepfakes and the 2020 US elections: what (did not) happen
by João Paulo Meneses

01-19-2021

Edge-Featured Graph Attention Network
by Jun Chen et al

01-22-2021

Chemistry42: An AI-based platform for de novo molecular design
by Yan A. Ivanenkov et al

01-22-2021

It Takes Two to Tango: Combining Visual and Textual Information for Detecting Duplicate Video-Based Bug Reports
by Nathan Cooper et al

01-20-2021

NEMR: Network Embedding on Metric of Relation
by Luodi Xie et al

01-19-2021

Safe and Efficient Model-free Adaptive Control via Bayesian Optimization
by Christopher König et al

01-20-2021

Improved Sensitivity of Base Layer on the Performance of Rigid Pavement
by Sajib Saha et al

01-19-2021

The Next Decade of Telecommunications Artificial Intelligence
by Ye Ouyang et al

01-19-2021

An Artificial Intelligence based approach to estimating time of arrival and bus occupancy for public transport systems in Africa
by Appau Ernest

01-19-2021

Scalable Optimization for Wind Farm Control using Coordination Graphs
by Timothy Verstraeten et al

01-19-2021

Noise Learning Based Denoising Autoencoder
by Woong-Hee Lee et al

01-19-2021

Trading Transforms of Non-weighted Simple Games and Integer Weights of Weighted Simple Games
by Akihiro Kawana et al

01-19-2021

Mapping and Describing Geospatial Data to Generalize Complex Mapping and Describing Geospatial Data to Generalize Complex Models: The Case of LittoSIM-GEN Models
by Ahmed Laatabi et al

01-19-2021

Creation and Evaluation of a Pre-tertiary Artificial Intelligence (AI) Curriculum
by Thomas K. F. Chiu et al

 
Craig Smith