Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference
http://dx.doi.org/10.1109/cvpr42600.2020.00239
Verelst, Thomas, Tuytelaars, Tinne
cs.CV
On the Convergence of the Monte Carlo Exploring Starts Algorithm...
https://arxiv.org/abs/2002.03585
Che Wang, Keith Ross
cs.LG
The Computational Limits of Deep Learning
https://arxiv.org/abs/2007.05558
Neil C. Thompson, Kristjan Greenewald, Keeheon Lee, Gabriel F. Manso
cs.LG
A Unified Linear Speedup Analysis of Stochastic FedAvg and...
https://arxiv.org/abs/2007.05690
Zhaonan Qu, Kaixiang Lin, Jayant Kalagnanam, Zhaojian Li, Jiayu Zhou, Zhengyuan Zhou
cs.LG
Looking Deeper into Tabular LIME
https://arxiv.org/abs/2008.11092
Damien Garreau, Ulrike von Luxburg
stat.ML
Cluster-Specific Predictions with Multi-Task Gaussian Processes
https://arxiv.org/abs/2011.07866v1
Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey
cs.LG
Exact and Approximate Heterogeneous Bayesian Decentralized Data Fusion
https://arxiv.org/abs/2101.11116?utm_source=dlvr.it&utm_medium=twitter
Ofer Dagan, Nisar R. Ahmed
cs.RO
CANINE: Pre-training an Efficient Tokenization-Free Encoder for...
http://arxiv.org/abs/2103.06874
Jonathan H. Clark, Dan Garrette, Iulia Turc, John Wieting
cs.CL
Towards Socially Intelligent Agents with Mental State Transition...
https://arxiv.org/abs/2103.07011
Liang Qiu, Yizhou Zhao, Yuan Liang, Pan Lu, Weiyan Shi, Zhou Yu, Song-Chun Zhu
cs.CL
https://arxiv.org/abs/2103.07780
Le Cong Dinh, Yaodong Yang, Zheng Tian, Nicolas Perez Nieves, Oliver Slumbers, David Henry Mguni, Haitham Bou Ammar, Jun Wang
cs.AI
Ensemble deep learning: A review
http://dx.doi.org/10.1016/j.engappai.2022.105151
M.A. Ganaie, Minghui Hu, A.K. Malik, M. Tanveer, P.N. Suganthan
cs.LG
Automatic Termination for Hyperparameter Optimization
https://arxiv.org/abs/2104.08166
Anastasia Makarova, Huibin Shen, Valerio Perrone, Aaron Klein, Jean Baptiste Faddoul, Andreas Krause, Matthias Seeger, Cedric Archambeau
cs.LG
Making Generated Images Hard To Spot: A Transferable Attack On...
https://arxiv.org/abs/2104.12069
Xinwei Zhao, Matthew C. Stamm
cs.CV
Analyzing Semantics of Aggregate Answer Set Programming Using...
https://arxiv.org/abs/2104.14789v1
Linde Vanbesien, Maurice Bruynooghe, Marc Denecker
cs.AI
Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained...
https://arxiv.org/abs/2105.06421
Mahdi Pourmirzaei, Farzaneh Esmaili, Gholam Ali Montazer
cs.CV
Convergence and Implicit Bias of Gradient Flow on Overparametrized...
https://arxiv.org/abs/2105.06351
Hancheng Min, Salma Tarmoun, Rene Vidal, Enrique Mallada
cs.LG
APPL: Adaptive Planner Parameter Learning
https://arxiv.org/abs/2105.07620
Xuesu Xiao, Zizhao Wang, Zifan Xu, Bo Liu, Garrett Warnell, Gauraang Dhamankar, Anirudh Nair, Peter Stone
cs.RO
ZeroWaste Dataset: Towards Deformable Object Segmentation in...
https://arxiv.org/abs/2106.02740
Dina Bashkirova, Ziliang Zhu, James Akl, Fadi Alladkani, Ping Hu, Vitaly Ablavsky, Berk Calli, Sarah Adel Bargal, Kate Saenko, Mohamed Abdelfattah
cs.CV
ZoPE: A Fast Optimizer for ReLU Networks with Low-Dimensional Inputs
https://arxiv.org/abs/2106.05325
Christopher A. Strong, Sydney M. Katz, Anthony L. Corso, Mykel J. Kochenderfer
cs.LG
https://arxiv.org/abs/2106.11342
Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola
cs.LG
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning
https://arxiv.org/abs/2107.04271
Di Wu, Rehmat Ullah, Paul Harvey, Peter Kilpatrick, Ivor Spence, Blesson Varghese
cs.DC
Applications of knowledge graphs for food science and industry
http://dx.doi.org/10.1016/j.patter.2022.100484
Weiqing Min, Chunlin Liu, Leyi Xu, Shuqiang Jiang
cs.CV
A Gentle Introduction to Conformal Prediction and...
https://arxiv.org/abs/2107.07511
Anastasios N. Angelopoulos, Stephen Bates
cs.LG
Optimizing Operating Points for High Performance Lesion Detection...
https://arxiv.org/abs/2107.12978
Brennan Nichyporuk, Justin Szeto, Douglas L. Arnold, Tal Arbel
eess.IV
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation
https://arxiv.org/abs/2108.00713
Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios Tsaftaris, Douglas L. Arnold, Tal Arbel
eess.IV
Compositional Generalization in Multilingual Semantic Parsing over Wikidata
https://arxiv.org/abs/2108.03509
Ruixiang Cui, Rahul Aralikatte, Heather Lent, Daniel Hershcovich
cs.CL
Blind Image Decomposition
https://arxiv.org/abs/2108.11364
Junlin Han, Weihao Li, Pengfei Fang, Chunyi Sun, Jie Hong, Mohammad Ali Armin, Lars Petersson, Hongdong Li
cs.CV
Multilingual Document-Level Translation Enables Zero-Shot Transfer...
https://arxiv.org/abs/2109.10341
Biao Zhang, Ankur Bapna, Melvin Johnson, Ali Dabirmoghaddam, Naveen Arivazhagan, Orhan Firat
cs.CL
Deep Classifiers with Label Noise Modeling and Distance Awareness
https://arxiv.org/abs/2110.02609v1
Vincent Fortuin, Mark Collier, Florian Wenzel, James Allingham, Jeremiah Liu, Dustin Tran, Balaji Lakshminarayanan, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou
stat.ML
Quantifying Inequality in Underreported Medical Conditions
https://arxiv.org/abs/2110.04133
Divya Shanmugam, Emma Pierson
cs.CY
Automatic Text Extractive Summarization Based on Graph and...
https://arxiv.org/abs/2110.04878v1
Yuan-Ching Lin, Jinwen Ma
cs.CL
Sign and Relevance learning
https://arxiv.org/abs/2110.07292
Sama Daryanavard, Bernd Porr
cs.LG
Efficiently Modeling Long Sequences with Structured State Spaces
https://arxiv.org/abs/2111.00396v1
Albert Gu, Karan Goel, Christopher Ré
cs.LG
Stacked BNAS: Rethinking Broad Convolutional Neural Network for...
https://arxiv.org/abs/2111.07722
Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, C. L. Philip Chen
cs.CV
Stronger Generalization Guarantees for Robot Learning by Combining...
https://arxiv.org/abs/2111.08761v1
Abhinav Agarwal, Sushant Veer, Allen Z. Ren, Anirudha Majumdar
cs.RO
DIVeR: Real-time and Accurate Neural Radiance Fields with...
https://arxiv.org/abs/2111.10427
Liwen Wu, Jae Yong Lee, Anand Bhattad, Yuxiong Wang, David Forsyth
cs.CV
SLUE: New Benchmark Tasks for Spoken Language Understanding...
https://arxiv.org/abs/2111.10367
Suwon Shon, Ankita Pasad, Felix Wu, Pablo Brusco, Yoav Artzi, Karen Livescu, Kyu J. Han
cs.CL
Are Vision Transformers Robust to Patch Perturbations?
https://arxiv.org/abs/2111.10659v1
Jindong Gu, Volker Tresp, Yao Qin
cs.CV
Class-agnostic Object Detection with Multi-modal Transformer
https://arxiv.org/abs/2111.11430
Muhammad Maaz, Hanoona Rasheed, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Ming-Hsuan Yang
cs.CV
UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language Modeling
https://arxiv.org/abs/2111.12085
Zhengyuan Yang, Zhe Gan, Jianfeng Wang, Xiaowei Hu, Faisal Ahmed, Zicheng Liu, Yumao Lu, Lijuan Wang
cs.CV
Pixel-wise Energy-biased Abstention Learning for Anomaly...
https://arxiv.org/abs/2111.12264
Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro
cs.CV
Amazon SageMaker Model Monitor: A System for Real-Time Insights...
https://arxiv.org/abs/2111.13657
David Nigenda, Zohar Karnin, Muhammad Bilal Zafar, Raghu Ramesha, Alan Tan, Michele Donini, Krishnaram Kenthapadi
cs.LG
Adaptive Token Sampling For Efficient Vision Transformers
https://arxiv.org/abs/2111.15667v1
Mohsen Fayyaz, Soroush Abbasi Kouhpayegani, Farnoush Rezaei Jafari, Eric Sommerlade, Hamid Reza Vaezi Joze, Hamed Pirsiavash, Juergen Gall, Soroush Abbasi Koohpayegani, Sunando Sengupta
cs.CV
https://arxiv.org/abs/2112.00891v1
Matthew Dutson, Mohit Gupta, Yin Li
cs.CV
MoFaNeRF: Morphable Facial Neural Radiance Field
https://arxiv.org/abs/2112.02308
Yiyu Zhuang, Hao Zhu, Xusen Sun, Xun Cao
cs.CV
HerosNet: Hyperspectral Explicable Reconstruction and Optimal...
https://arxiv.org/abs/2112.06238v1
Xuanyu Zhang, Yongbing Zhang, Ruiqin Xiong, Qilin Sun, Jian Zhang
cs.CV
NeuroHSMD: Neuromorphic Hybrid Spiking Motion Detector
https://arxiv.org/abs/2112.06102v1
Pedro Machado, Eiman Kanjo, Andreas Oikonomou Ahmad Lotfi, Andreas Oikonomou, Joao Filipe Ferreira, T. M. McGinnity
cs.NE
Invariance Through Latent Alignment
https://arxiv.org/abs/2112.08526
Takuma Yoneda, Ge Yang, Matthew R. Walter, Bradly Stadie
cs.LG
Blockchain-enabled Server-less Federated Learning
https://arxiv.org/abs/2112.07938?utm_source=dlvr.it&utm_medium=twitter
Francesc Wilhelmi, Lorenza Giupponi, Paolo Dini
cs.LG
Amortized Noisy Channel Neural Machine Translation
https://arxiv.org/abs/2112.08670
Richard Yuanzhe Pang, He He, Kyunghyun Cho
cs.CL