Title
Energy-Aware Adaptive Offloading of Soft Real-Time Jobs in Mobile Edge Clouds Joaquim Silva Eduardo R. B. Marques Luís M. B. Lopes Fernando M A Silva 33 12 0 10 Feb 2021
Enhancing Real-World Adversarial Patches through 3D Modeling of Complex Target Scenes Yael Mathov Lior Rokach Yuval Elovici 52 5 0 10 Feb 2021
Hybrid In-memory Computing Architecture for the Training of Deep Neural Networks V. Joshi Wangxin He Jae-sun Seo Bipin Rajendran 19 1 0 10 Feb 2021
Deep Multilabel CNN for Forensic Footwear Impression Descriptor Identification M. Budka Akanda Wahid-Ul-Ashraf Scott Neville Alun Mackrill M. Bennett 39 11 0 09 Feb 2021
On the Universal Transformation of Data-Driven Models to Control Systems Sebastian Peitz Katharina Bieker AI4CE 60 11 0 09 Feb 2021
Tracking e-cigarette warning label compliance on Instagram with deep learning Chris J. Kennedy Julia Vassey Ho-Chun Herbert Chang J. Unger Emilio Ferrara 70 5 0 08 Feb 2021
RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads James Gleeson Srivatsan Krishnan Moshe Gabel Vijay Janapa Reddi Eyal de Lara Gennady Pekhimenko OffRL 43 11 0 08 Feb 2021
Hyperparameter Optimization with Differentiable Metafeatures H. Jomaa Lars Schmidt-Thieme Josif Grabocka AI4CE 50 3 0 07 Feb 2021
Extremal learning: extremizing the output of a neural network in regression problems Zakaria Patel M. Rummel 45 4 0 06 Feb 2021
Instance and Panoptic Segmentation Using Conditional Convolutions Zhi Tian Bowen Zhang Hao Chen Chunhua Shen ISeg 134 42 0 05 Feb 2021
Incorporating Kinematic Wave Theory into a Deep Learning Method for High-Resolution Traffic Speed Estimation Bilal Thonnam Thodi Z. Khan Saif Eddin Jabari M. Menéndez 47 42 0 04 Feb 2021
Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings Dimitris Stripelis J. Ambite FedML 108 41 0 04 Feb 2021
DIFFnet: Diffusion parameter mapping network generalized for input diffusion gradient schemes and bvalues Juhyung Park W. Jung Eun-Jung Choi S. Oh Dongmyung Shin Hongjun An Jongho Lee 47 18 0 04 Feb 2021
Horizontally Fused Training Array: An Effective Hardware Utilization Squeezer for Training Novel Deep Learning Models Shang Wang Peiming Yang Yuxuan Zheng Xuelong Li Gennady Pekhimenko 82 22 0 03 Feb 2021
Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines Francisco Romero Mark Zhao N. Yadwadkar Christos Kozyrakis 91 110 0 03 Feb 2021
Metrics and continuity in reinforcement learning Charline Le Lan Marc G. Bellemare Pablo Samuel Castro 76 35 0 02 Feb 2021
Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks Florian Wirthmüller Marvin Klimke Julian Schlechtriemen Jochen Hipp M. Reichert 61 18 0 02 Feb 2021
Fast Training of Provably Robust Neural Networks by SingleProp Akhilan Boopathy Tsui-Wei Weng Sijia Liu Pin-Yu Chen Gaoyuan Zhang Luca Daniel AAML 57 7 0 01 Feb 2021
GTAE: Graph-Transformer based Auto-Encoders for Linguistic-Constrained Text Style Transfer Yukai Shi Sen Zhang Chenxing Zhou Xiaodan Liang Xiaojun Yang Liang Lin 73 8 0 01 Feb 2021
Deep Deterministic Information Bottleneck with Matrix-based Entropy Functional Xi Yu Shujian Yu José C. Príncipe AAML 74 27 0 31 Jan 2021
A Runtime-Based Computational Performance Predictor for Deep Neural Network Training Geoffrey X. Yu Yubo Gao P. Golikov Gennady Pekhimenko 3DH 69 68 0 31 Jan 2021
Predicting Nanorobot Shapes via Generative Models Emma Benjaminson Rebecca E. Taylor Matthew Travers 51 0 0 29 Jan 2021
tf.data: A Machine Learning Data Processing Framework D. Murray Jiří Šimša Ana Klimovic Ihor Indyk PINN AI4CE LMTD 127 91 0 28 Jan 2021
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss Xue Yang Junchi Yan Qi Ming Wentao Wang Xiaopeng Zhang Qi Tian 227 416 0 28 Jan 2021
Choice modelling in the age of machine learning -- discussion paper Sander van Cranenburgh S. Wang A. Vij Francisco Câmara Pereira J. Walker 85 97 0 28 Jan 2021
POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition S. Fresca Andrea Manzoni AI4CE 69 220 0 28 Jan 2021
Transformer Based Deliberation for Two-Pass Speech Recognition Ke Hu Ruoming Pang Tara N. Sainath Trevor Strohman 76 38 0 27 Jan 2021
Detecting Deepfake Videos Using Euler Video Magnification Rashmiranjan Das Gaurav Negi Alan F. Smeaton 66 15 0 27 Jan 2021
Adversarial Stylometry in the Wild: Transferable Lexical Substitution Attacks on Author Profiling Chris Emmery Ákos Kádár Grzegorz Chrupała AAML 94 20 0 27 Jan 2021
Partition of unity networks: deep hp-approximation Kookjin Lee N. Trask Ravi G. Patel Mamikon A. Gulian E. Cyr 93 30 0 27 Jan 2021
Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges Xin Chen Guannan Qu Yujie Tang S. Low Na Li 84 241 0 27 Jan 2021
Generalized Doubly Reparameterized Gradient Estimators Matthias Bauer A. Mnih BDL 81 15 0 26 Jan 2021
An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems A. Abdelmoniem Ahmed Elzanaty Mohamed-Slim Alouini Marco Canini 132 77 0 26 Jan 2021
A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival Prediction R. Agravat M. Raval 85 22 0 26 Jan 2021
RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks with Fine-Grain Utilization An Zou Jing Li C. Gill Xuan Zhang AI4TS 29 26 0 25 Jan 2021
QFold: Quantum Walks and Deep Learning to Solve Protein Folding Pablo Antonio Moreno Casares Roberto Campos M. Martin-Delgado 60 34 0 25 Jan 2021
Measuring Dependence with Matrix-based Entropy Functional Shujian Yu Francesco Alesiani Xi Yu Robert Jenssen José C. Príncipe 59 24 0 25 Jan 2021
Parametric Rectified Power Sigmoid Units: Learning Nonlinear Neural Transfer Analytical Forms A. Atto S. Galichet Dominique Pastor N. Méger 17 0 0 25 Jan 2021
HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks Yunxiang Zhao Qiuhong Ke Flip Korn Jianzhong Qi Rui Zhang 54 6 0 25 Jan 2021
Federated Intrusion Detection for IoT with Heterogeneous Cohort Privacy Ajesh Koyatan Chathoth Abhyuday N. Jagannatha Stephen Lee 81 14 0 25 Jan 2021
Inferring incompressible two-phase flow fields from the interface motion using physics-informed neural networks Aaron B. Buhendwa Stefan Adami Nikolaus A. Adams AI4CE PINN 50 35 0 25 Jan 2021
Untargeted Poisoning Attack Detection in Federated Learning via Behavior Attestation Ranwa Al Mallah David López Godwin Badu-Marfo Bilal Farooq AAML 101 39 0 24 Jan 2021
Disentangled Sequence Clustering for Human Intention Inference Mark Zolotas Y. Demiris DRL 101 5 0 23 Jan 2021
Nigraha: Machine-learning based pipeline to identify and evaluate planet candidates from TESS Sriram Rao Ashish Mahabal Niyanth Rao C. Raghavendra 30 6 0 22 Jan 2021
PyGlove: Symbolic Programming for Automated Machine Learning Daiyi Peng Xuanyi Dong Esteban Real Mingxing Tan Yifeng Lu Hanxiao Liu Gabriel Bender Adam Kraft Chen Liang Quoc V. Le 61 31 0 21 Jan 2021
Cain: Automatic Code Generation for Simultaneous Convolutional Kernels on Focal-plane Sensor-processors Edward Stow Riku Murai Sajad Saeedi Paul H. J. Kelly 132 8 0 21 Jan 2021
Learning based signal detection for MIMO systems with unknown noise statistics Ke He Le He Lisheng Fan Yansha Deng G. Karagiannidis A. Nallanathan 49 57 0 21 Jan 2021
TDA-Net: Fusion of Persistent Homology and Deep Learning Features for COVID-19 Detection in Chest X-Ray Images Mustafa Hajij Ghada Zamzmi F. Batayneh 61 24 0 21 Jan 2021
secureTF: A Secure TensorFlow Framework D. Quoc Franz Gregor Sergei Arnautov Roland Kunkel Pramod Bhatotia Christof Fetzer 93 40 0 20 Jan 2021
Extensive Studies of the Neutron Star Equation of State from the Deep Learning Inference with the Observational Data Augmentation Yuki Fujimoto K. Fukushima K. Murase BDL 52 28 0 20 Jan 2021