Title
Adversarial sampling of unknown and high-dimensional conditional distributions M. Hassanaly Andrew Glaws Karen Stengel Ryan N. King GAN 78 21 0 08 Nov 2021
BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning Bicheng Ying Kun Yuan Hanbin Hu Yiming Chen W. Yin FedML 83 28 0 08 Nov 2021
Global-Local Attention for Emotion Recognition Nhat Le Khanh Nguyen A. Nguyen H. Le CVBM 67 39 0 07 Nov 2021
Varuna: Scalable, Low-cost Training of Massive Deep Learning Models Sanjith Athlur Nitika Saran Muthian Sivathanu Ramachandran Ramjee Nipun Kwatra GNN 118 84 0 07 Nov 2021
FedLess: Secure and Scalable Federated Learning Using Serverless Computing Andreas Grafberger Mohak Chadha Anshul Jindal Jianfeng Gu Michael Gerndt 88 52 0 05 Nov 2021
Predictive Machine Learning of Objective Boundaries for Solving COPs Helge Spieker A. Gotlieb 38 0 0 04 Nov 2021
Graph neural network initialisation of quantum approximate optimisation Nishant Jain Brian Coyle E. Kashefi N. Kumar GNN AI4CE 107 49 0 04 Nov 2021
RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning Sabela Ramos Sertan Girgin Léonard Hussenot Damien Vincent Hanna Yakubovich ... Piotr Stańczyk Raphaël Marinier Jeremiah Harmsen Olivier Pietquin Nikola Momchev OffRL 90 24 0 04 Nov 2021
Power Flow Balancing with Decentralized Graph Neural Networks Jonas Berg Hansen S. N. Anfinsen F. Bianchi 63 34 0 03 Nov 2021
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression Chen Zhang Shifeng Zhang Fabio Maria Carlucci Zhenguo Li VLM 51 2 0 02 Nov 2021
Joint Detection of Motion Boundaries and Occlusions Hannah Kim Shuzhi Yu Carlo Tomasi 110 5 0 01 Nov 2021
Evaluating deep transfer learning for whole-brain cognitive decoding A. Thomas U. Lindenberger Wojciech Samek K. Müller AI4CE 65 12 0 01 Nov 2021
Mixture Proportion Estimation and PU Learning: A Modern Approach Saurabh Garg Yifan Wu Alexander J. Smola Sivaraman Balakrishnan Zachary Chase Lipton 69 53 0 01 Nov 2021
Nested Multiple Instance Learning with Attention Mechanisms Saul Fuster T. Eftestøl K. Engan 117 9 0 01 Nov 2021
Availability Attacks Create Shortcuts Da Yu Huishuai Zhang Wei Chen Jian Yin Tie-Yan Liu AAML 127 58 0 01 Nov 2021
Large-Scale Deep Learning Optimizations: A Comprehensive Survey Xiaoxin He Fuzhao Xue Xiaozhe Ren Yang You 90 15 0 01 Nov 2021
Collage: Seamless Integration of Deep Learning Backends with Automatic Placement Byungsoo Jeon Sunghyun Park Peiyuan Liao Sheng Xu Tianqi Chen Zhihao Jia VLM 89 5 0 01 Nov 2021
Revealing and Protecting Labels in Distributed Training Trung D. Q. Dang Om Thakkar Swaroop Indra Ramaswamy Rajiv Mathews Peter Chin Franccoise Beaufays 38 26 0 31 Oct 2021
Optimizing Sparse Matrix Multiplications for Graph Neural Networks Shenghao Qiu You Liang Zheng Wang GNN 57 18 0 30 Oct 2021
Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations Akira Sakai Taro Sunagawa Spandan Madan Kanata Suzuki Takashi Katoh Hiromichi Kobashi Hanspeter Pfister Pawan Sinha Xavier Boix Tomotake Sasaki 80 2 0 30 Oct 2021
Cross-attention conformer for context modeling in speech enhancement for ASR A. Narayanan Chung-Cheng Chiu Tom O'Malley Quan Wang Yanzhang He 73 14 0 30 Oct 2021
BitTrain: Sparse Bitmap Compression for Memory-Efficient Training on the Edge Abdelrahman I. Hosny Marina Neseem Sherief Reda MQ 112 4 0 29 Oct 2021
Towards Comparative Physical Interpretation of Spatial Variability Aware Neural Networks: A Summary of Results Jayant Gupta Carl Molnar Gaoxiang Luo Joe Knight Shashi Shekhar 46 0 0 29 Oct 2021
CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method P. Chiu Jian Cheng Wong C. Ooi M. Dao Yew-Soon Ong PINN 75 221 0 29 Oct 2021
QDCNN: Quantum Dilated Convolutional Neural Network Yixiong Chen 78 4 0 29 Oct 2021
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning Ji Lin Wei-Ming Chen Han Cai Chuang Gan Song Han 102 161 0 28 Oct 2021
OneFlow: Redesign the Distributed Deep Learning Framework from Scratch Jinhui Yuan Xinqi Li Cheng Cheng Juncheng Liu Ran Guo ... Fei Yang Xiaodong Yi Chuan Wu Haoran Zhang Jie Zhao 62 41 0 28 Oct 2021
Subtleties in the trainability of quantum machine learning models Supanut Thanasilp Samson Wang Nhat A. Nghiem Patrick J. Coles M. Cerezo 87 64 0 27 Oct 2021
Designing Machine Learning Surrogates using Outputs of Molecular Dynamics Simulations as Soft Labels J. Kadupitiya Nasim Anousheh V. Jadhao AI4CE SyDa 13 0 0 27 Oct 2021
Learning Graph Cellular Automata Daniele Grattarola L. Livi Cesare Alippi GNN 72 31 0 27 Oct 2021
TOD: GPU-accelerated Outlier Detection via Tensor Operations Yue Zhao George H. Chen Zhihao Jia AI4TS 106 8 0 26 Oct 2021
Revisiting Batch Norm Initialization Jim Davis Logan Frank 74 4 0 26 Oct 2021
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes Sanghyun Hong Michael-Andrei Panaitescu-Liess Yigitcan Kaya Tudor Dumitras MQ 93 13 0 26 Oct 2021
Bolt: Bridging the Gap between Auto-tuners and Hardware-native Performance Jiarong Xing Leyuan Wang Shang Zhang Jack H Chen Ang Chen Yibo Zhu 77 44 0 25 Oct 2021
Enabling Large Batch Size Training for DNN Models Beyond the Memory Limit While Maintaining Performance Nathanaël Fijalkow DoangJoo Synn Jooyoung Park Jong-Kook Kim 84 6 0 24 Oct 2021
Dual Shape Guided Segmentation Network for Organs-at-Risk in Head and Neck CT Images Shuai Wang T. Yanagihara B. Chera Colette J. Shen Daniel Pastor J. Lian 81 0 0 23 Oct 2021
Deep Convolutional Autoencoders as Generic Feature Extractors in Seismological Applications Qingkai Kong A. Chiang A. C. Aguiar M. G. Fernández-Godino S. Myers Donald D. Lucas 123 18 0 22 Oct 2021
Conditional Variational Autoencoder for Learned Image Reconstruction Chen Zhang Riccardo Barbano Bangti Jin DRL 55 20 0 22 Oct 2021
GPU-Accelerated Forward-Backward algorithm with Application to Lattice-Free MMI Lucas Ondel Léa-Marie Lam-Yee-Mui M. Kocour Caio Corro L. Burget 44 5 0 22 Oct 2021
Evolving Transferable Neural Pruning Functions Yuchen Liu S. Kung D. Wentzlaff 65 1 0 21 Oct 2021
A Deep Generative Approach to Conditional Sampling Xingyu Zhou Yuling Jiao Jin Liu Jian Huang 75 43 0 19 Oct 2021
A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison Sannara Ek François Portet P. Lalanda Germán Vega FedML 102 115 0 19 Oct 2021
The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding Pratik Fegade Tianqi Chen Phillip B. Gibbons T. Mowry 87 29 0 19 Oct 2021
Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes Conor Tillinghast Ziyi Wang Shandian Zhe 74 7 0 19 Oct 2021
Self-Supervised Object Detection via Generative Image Synthesis Siva Karthik Mustikovela Shalini De Mello Aayush Prakash Umar Iqbal Sifei Liu Thu Nguyen-Phuoc Carsten Rother Jan Kautz 48 3 0 19 Oct 2021
GradSign: Model Performance Inference with Theoretical Insights Zhihao Zhang Zhihao Jia 82 24 0 16 Oct 2021
sbp-env: Sampling-based Motion Planners' Testing Environment Tin Lai 53 2 0 15 Oct 2021
Solving Image PDEs with a Shallow Network Pascal Getreuer P. Milanfar Xiyang Luo 75 1 0 15 Oct 2021
Improving Hyperparameter Optimization by Planning Ahead H. Jomaa Jonas K. Falkner Lars Schmidt-Thieme 69 0 0 15 Oct 2021
Scalable Causal Structure Learning: Scoping Review of Traditional and Deep Learning Algorithms and New Opportunities in Biomedicine Pulakesh Upadhyaya Kai Zhang Can Li Xiaoqian Jiang Yejin Kim CML 91 9 0 15 Oct 2021