Every paper with a summary

Every arXiv paper Paperlayer has summarized so far. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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12,661 to 12,720 of 117,717

Learning to be Safe: Deep RL with a Safety Critic
Krishnan Srinivasan, Benjamin Eysenbach, Sehoon Ha +2
cs.LGcs.ROarXiv:2010.14603v12020
Counterfactual VQA: A Cause-Effect Look at Language Bias
Yulei Niu, Kaihua Tang, Hanwang Zhang +3
cs.CVcs.CLarXiv:2006.04315v42020
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control
Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty
cs.LGeess.SYphysics.comp-pharXiv:1909.12077v52019
Label-Only Membership Inference Attacks
Christopher A. Choquette-Choo, Florian Tramer, Nicholas Carlini +1
cs.CRcs.LGstat.MLarXiv:2007.14321v32020
The Bitter Truth About Quantum Algorithms in the NISQ Era
Frank Leymann, Johanna Barzen
quant-pharXiv:2006.02856v22020
Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning
Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu +9
cs.LGcs.AIarXiv:2004.12485v22020
TurboTransformers: An Efficient GPU Serving System For Transformer Models
Jiarui Fang, Yang Yu, Chengduo Zhao +1
cs.DCcs.AIcs.LGarXiv:2010.05680v42020
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime
Stéphane d'Ascoli, Maria Refinetti, Giulio Biroli +1
cs.LGcond-mat.dis-nnstat.MLarXiv:2003.01054v22020
Fusion of Detected Objects in Text for Visual Question Answering
Chris Alberti, Jeffrey Ling, Michael Collins +1
cs.CLcs.CVcs.LGarXiv:1908.05054v22019
CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks
Maxim Maximov, Ismail Elezi, Laura Leal-Taixé
cs.CVarXiv:2005.09544v22020
DualSDF: Semantic Shape Manipulation using a Two-Level Representation
Zekun Hao, Hadar Averbuch-Elor, Noah Snavely +1
cs.CVcs.LGarXiv:2004.02869v12020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
Jianyu Wang, Qinghua Liu, Hao Liang +2
cs.LGcs.DCstat.MLarXiv:2007.07481v12020
Deep Learning for Post-Processing Ensemble Weather Forecasts
Peter Grönquist, Chengyuan Yao, Tal Ben-Nun +4
cs.LGeess.SPphysics.ao-pharXiv:2005.08748v22020
Community Detection on Networks with Ricci Flow
Chien-Chun Ni, Yu-Yao Lin, Feng Luo +1
cs.SIphysics.soc-pharXiv:1907.03993v12019
Towards Controllable Biases in Language Generation
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan +1
cs.CLarXiv:2005.00268v22020
HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking
Jonathon Luiten, Aljosa Osep, Patrick Dendorfer +4
cs.CVarXiv:2009.07736v22020
Latent Variable Modelling with Hyperbolic Normalizing Flows
Avishek Joey Bose, Ariella Smofsky, Renjie Liao +2
cs.LGstat.MLarXiv:2002.06336v42020
Deep Hough Transform for Semantic Line Detection
Kai Zhao, Qi Han, Chang-Bin Zhang +2
cs.CVarXiv:2003.04676v42020
Challenges in Benchmarking Stream Learning Algorithms with Real-world Data
Vinicius M. A. Souza, Denis M. dos Reis, Andre G. Maletzke +1
cs.LGstat.MLarXiv:2005.00113v22020
Long-term Human Motion Prediction with Scene Context
Zhe Cao, Hang Gao, Karttikeya Mangalam +3
cs.CVarXiv:2007.03672v32020
Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules
Zhengxue Cheng, Heming Sun, Masaru Takeuchi +1
eess.IVarXiv:2001.01568v32020
3D Photography using Context-aware Layered Depth Inpainting
Meng-Li Shih, Shih-Yang Su, Johannes Kopf +1
cs.CVeess.IVarXiv:2004.04727v32020
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement
William Peebles, John Peebles, Jun-Yan Zhu +2
cs.CVcs.GRcs.LGarXiv:2008.10599v12020
Experience Replay with Likelihood-free Importance Weights
Samarth Sinha, Jiaming Song, Animesh Garg +1
cs.AIcs.LGarXiv:2006.13169v12020
Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue
Byeongchang Kim, Jaewoo Ahn, Gunhee Kim
cs.CLarXiv:2002.07510v22020
VIBE: Video Inference for Human Body Pose and Shape Estimation
Muhammed Kocabas, Nikos Athanasiou, Michael J. Black
cs.CVarXiv:1912.05656v32019
Deep learning for Stock Market Prediction
Mojtaba Nabipour, Pooyan Nayyeri, Hamed Jabani +1
q-fin.STcs.LGarXiv:2004.01497v12020
Optical Kerr soliton crystal microcomb source for RF photonic fractional differentiation
Mengxi Tan, Xingyuan Xu, Bill Corcoran +8
physics.app-phphysics.opticsarXiv:2001.03420v12020
Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning
Seul-Ki Yeom, Philipp Seegerer, Sebastian Lapuschkin +4
cs.LGcs.NEstat.MLarXiv:1912.08881v32019
HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection
Maosheng Ye, Shuangjie Xu, Tongyi Cao
cs.CVcs.AIcs.ROarXiv:2003.00186v22020
Stability Analysis using Quadratic Constraints for Systems with Neural Network Controllers
He Yin, Peter Seiler, Murat Arcak
eess.SYarXiv:2006.07579v22020
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search
Xiangxiang Chu, Tianbao Zhou, Bo Zhang +1
cs.LGcs.AIcs.CVarXiv:1911.12126v42019
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation
Vitaly Feldman, Chiyuan Zhang
cs.LGstat.MLarXiv:2008.03703v12020
Debiased Sinkhorn barycenters
Hicham Janati, Marco Cuturi, Alexandre Gramfort
stat.MLcs.LGarXiv:2006.02575v12020
ARCH: Animatable Reconstruction of Clothed Humans
Zeng Huang, Yuanlu Xu, Christoph Lassner +2
cs.GRcs.CVcs.LGarXiv:2004.04572v22020
Optimally weighted loss functions for solving PDEs with Neural Networks
Remco van der Meer, Cornelis Oosterlee, Anastasia Borovykh
math.NAarXiv:2002.06269v42020
HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching
Vladimir Tankovich, Christian Häne, Yinda Zhang +3
cs.CVarXiv:2007.12140v52020
Covariance-Informed Ensemble Score Filtering: Embedding Localized Covariance Geometry into Score-Based Transport
Siming Liang, Peter Jan van Leeuwen, Hristo G. Chipilski +3
math.NAcs.NAphysics.ao-pharXiv:2610.32148v12026
Lost with a Map: Conversational State and Behavioral Reliability in Language Models
Atahan Dokme, Larry Heck
cs.CLarXiv:2609.33883v12026
Cryptocurrency Trading: A Comprehensive Survey
Fan Fang, Carmine Ventre, Michail Basios +4
q-fin.TRq-fin.CParXiv:2003.11352v52020
Bayesian Bits: Unifying Quantization and Pruning
Mart van Baalen, Christos Louizos, Markus Nagel +4
cs.LGcs.CVstat.MLarXiv:2005.07093v32020
RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild
Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani
cs.CVcs.LGarXiv:2208.05963v22022
Discrimination-aware Network Pruning for Deep Model Compression
Jing Liu, Bohan Zhuang, Zhuangwei Zhuang +4
cs.CVarXiv:2001.01050v22020
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis
Yifan Zhang, Ying Wei, Qingyao Wu +4
cs.CVeess.IVarXiv:2007.07222v12020
Projection-Based Federated Learning on Compact Submanifolds with Geometry-Independent Differential Privacy
Thibault Pautrel, Florent Bouchard, Guillaume Ginolhac +2
stat.MLcs.LGarXiv:2610.33712v12026
A multi-resolution SPH method for fluid-structure interactions
Chi Zhang, Massoud Rezavand, Xiangyu Hu
cs.CEarXiv:1911.13255v12019
In-Context Adaptation of Encoder-Decoder Models in Speech Recognition
Yen Meng, Sharon Goldwater, Hao Tang
cs.CLcs.SDeess.ASarXiv:2609.33865v12026
Weakly Supervised 3D Object Detection from Lidar Point Cloud
Qinghao Meng, Wenguan Wang, Tianfei Zhou +3
cs.CVarXiv:2007.11901v12020
SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation
Yi-Chia Chen, Wei-Hua Li, Cheng Sun +2
cs.AIcs.CLcs.CVarXiv:2409.10542v32024
The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN
Wenjun Yan, Yuanyuan Wang, Shengjia Gu +4
eess.IVcs.CVarXiv:1910.13681v12019
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
Yen-Chang Hsu, Yilin Shen, Hongxia Jin +1
cs.CVcs.LGeess.IVarXiv:2002.11297v22020
Memristors -- from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing
Adnan Mehonic, Abu Sebastian, Bipin Rajendran +3
cs.ETcs.NEarXiv:2004.14942v12020
Reconfigurable Intelligent Surfaces for Doppler Effect and Multipath Fading Mitigation
Ertugrul Basar
eess.SPcs.ITmath.ITarXiv:1912.04080v22019
Stochastic Variational Bayesian Inference for a Nonlinear Forward Model
Michael A. Chappell, Martin S. Craig, Mark W. Woolrich
eess.SPstat.APstat.MLarXiv:2007.01675v12020
Higgs boson potential at colliders: status and perspectives
B. Di Micco, M. Gouzevitch, J. Mazzitelli +104
hep-phhep-exarXiv:1910.00012v42019
Cybersecurity for Industrial Control Systems: A Survey
Deval Bhamare, Maede Zolanvari, Aiman Erbad +3
cs.CRcs.NIeess.SYarXiv:2002.04124v12020
Analyzing and Mitigating Data Stalls in DNN Training
Jayashree Mohan, Amar Phanishayee, Ashish Raniwala +1
cs.DCcs.LGcs.OSarXiv:2007.06775v32020
Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani +3
eess.IVcs.LGarXiv:2006.12229v12020
NodeSLAM: Neural Object Descriptors for Multi-View Shape Reconstruction
Edgar Sucar, Kentaro Wada, Andrew Davison
cs.CVarXiv:2004.04485v22020
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning
Bill Yuchen Lin, Wangchunshu Zhou, Ming Shen +4
cs.CLcs.AIcs.CVarXiv:1911.03705v42019

Every paper with a summary

Learning to be Safe: Deep RL with a Safety Critic

Counterfactual VQA: A Cause-Effect Look at Language Bias

Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control

Label-Only Membership Inference Attacks

The Bitter Truth About Quantum Algorithms in the NISQ Era

Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning

TurboTransformers: An Efficient GPU Serving System For Transformer Models

Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime

Fusion of Detected Objects in Text for Visual Question Answering

CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks

DualSDF: Semantic Shape Manipulation using a Two-Level Representation

Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization

Deep Learning for Post-Processing Ensemble Weather Forecasts

Community Detection on Networks with Ricci Flow

Towards Controllable Biases in Language Generation

HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking

Latent Variable Modelling with Hyperbolic Normalizing Flows

Deep Hough Transform for Semantic Line Detection

Challenges in Benchmarking Stream Learning Algorithms with Real-world Data

Long-term Human Motion Prediction with Scene Context

Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules

3D Photography using Context-aware Layered Depth Inpainting

The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement

Experience Replay with Likelihood-free Importance Weights

Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue

VIBE: Video Inference for Human Body Pose and Shape Estimation

Deep learning for Stock Market Prediction

Optical Kerr soliton crystal microcomb source for RF photonic fractional differentiation

Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning

HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection

Stability Analysis using Quadratic Constraints for Systems with Neural Network Controllers

Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search

What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation

Debiased Sinkhorn barycenters

ARCH: Animatable Reconstruction of Clothed Humans

Optimally weighted loss functions for solving PDEs with Neural Networks

HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching

Covariance-Informed Ensemble Score Filtering: Embedding Localized Covariance Geometry into Score-Based Transport

Lost with a Map: Conversational State and Behavioral Reliability in Language Models

Cryptocurrency Trading: A Comprehensive Survey

Bayesian Bits: Unifying Quantization and Pruning

RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild

Discrimination-aware Network Pruning for Deep Model Compression

Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis

Projection-Based Federated Learning on Compact Submanifolds with Geometry-Independent Differential Privacy

A multi-resolution SPH method for fluid-structure interactions

In-Context Adaptation of Encoder-Decoder Models in Speech Recognition

Weakly Supervised 3D Object Detection from Lidar Point Cloud

SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation

The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN

Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data

Memristors -- from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing

Reconfigurable Intelligent Surfaces for Doppler Effect and Multipath Fading Mitigation

Stochastic Variational Bayesian Inference for a Nonlinear Forward Model

Higgs boson potential at colliders: status and perspectives

Cybersecurity for Industrial Control Systems: A Survey

Analyzing and Mitigating Data Stalls in DNN Training

Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms

NodeSLAM: Neural Object Descriptors for Multi-View Shape Reconstruction

CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning