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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61,681 to 61,740 of 105,067

Zero-Shot Terrain Generalization for Visual Locomotion Policies
Alejandro Escontrela, George Yu, Peng Xu +2
cs.ROarXiv:2011.05513v12020
PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent Learning -- Lifelong
Mehul Damani, Zhiyao Luo, Emerson Wenzel +1
cs.ROarXiv:2010.08184v32020
Modern Regularization Methods for Inverse Problems
Martin Benning, Martin Burger
math.NAarXiv:1801.09922v12018
Globally Normalized Transition-Based Neural Networks
Daniel Andor, Chris Alberti, David Weiss +5
cs.CLcs.LGcs.NEarXiv:1603.06042v22016
The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks
Benjamin Cramer, Yannik Stradmann, Johannes Schemmel +1
cs.NEcs.LGq-bio.NCarXiv:1910.07407v32019
Automated distribution of quantum circuits via hypergraph partitioning
Pablo Andrés-Martínez, Chris Heunen
quant-pharXiv:1811.10972v52018
Anchor-free Oriented Proposal Generator for Object Detection
Gong Cheng, Jiabao Wang, Ke Li +4
cs.CVarXiv:2110.01931v22021
Mitigating Inter-network Interference in LoRa Networks
Thiemo Voigt, Martin Bor, Utz Roedig +1
cs.NIarXiv:1611.00688v12016
Designing and Training of A Dual CNN for Image Denoising
Chunwei Tian, Yong Xu, Wangmeng Zuo +3
eess.IVcs.CVarXiv:2007.03951v12020
Stochastic gradient descent for hybrid quantum-classical optimization
Ryan Sweke, Frederik Wilde, Johannes Meyer +4
quant-phcs.LGarXiv:1910.01155v32019
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
Yue Yu, Simiao Zuo, Haoming Jiang +3
cs.CLcs.LGarXiv:2010.07835v32020
Enhancing Mobile "How-to" Queries with Automated Search Results Verification and Reranking
Lei Ding, Jeshwanth Bheemanpally, Yi Zhang
cs.IRcs.LGarXiv:2404.08860v32024
Funnel Libraries for Real-Time Robust Feedback Motion Planning
Anirudha Majumdar, Russ Tedrake
cs.ROcs.AIeess.SYarXiv:1601.04037v32016
Knockoff Nets: Stealing Functionality of Black-Box Models
Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
cs.CVcs.CRcs.LGarXiv:1812.02766v12018
WHAM!: Extending Speech Separation to Noisy Environments
Gordon Wichern, Joe Antognini, Michael Flynn +5
cs.SDcs.CLcs.LGarXiv:1907.01160v12019
Promptify: Text-to-Image Generation through Interactive Prompt Exploration with Large Language Models
Stephen Brade, Bryan Wang, Mauricio Sousa +2
cs.HCcs.AIcs.MMarXiv:2304.09337v12023
HNeRV: A Hybrid Neural Representation for Videos
Hao Chen, Matt Gwilliam, Ser-Nam Lim +1
cs.CVarXiv:2304.02633v12023
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks
Samyak Jain, Robert Kirk, Ekdeep Singh Lubana +5
cs.LGarXiv:2311.12786v22023
Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation
Tairan He, Zhengyi Luo, Wenli Xiao +4
cs.ROcs.AIcs.LGarXiv:2403.04436v12024
ConvPoint: Continuous Convolutions for Point Cloud Processing
Alexandre Boulch
cs.CVarXiv:1904.02375v52019
Learning Algorithms for Active Learning
Philip Bachman, Alessandro Sordoni, Adam Trischler
cs.LGarXiv:1708.00088v12017
Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities
Zhaoyi Xu, Joseph Homer Saleh
cs.LGstat.MLarXiv:2008.08221v12020
Leaf Classification Using Shape, Color, and Texture Features
Abdul Kadir, Lukito Edi Nugroho, Adhi Susanto +1
cs.CVcs.CYarXiv:1401.4447v12013
Truncated Proximal Policy Optimization
Tiantian Fan, Lingjun Liu, Yu Yue +20
cs.AIarXiv:2506.15050v12025
Recurrent Autoregressive Networks for Online Multi-Object Tracking
Kuan Fang, Yu Xiang, Xiaocheng Li +1
cs.CVcs.AIcs.LGarXiv:1711.02741v22017
Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools
Frederic Gmeiner, Humphrey Yang, Lining Yao +2
cs.HCcs.AIarXiv:2303.00192v12023
Scenic: A Language for Scenario Specification and Data Generation
Daniel J. Fremont, Edward Kim, Tommaso Dreossi +4
cs.PLcs.CVcs.LGarXiv:2010.06580v12020
Estimating treatment effect heterogeneity in randomized program evaluation
Kosuke Imai, Marc Ratkovic
stat.AParXiv:1305.5682v12013
Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers
Yukuan Yang, Shuang Wu, Lei Deng +3
cs.LGstat.MLarXiv:1909.02384v22019
Throughput Optimal Policies for Energy Harvesting Wireless Transmitters with Non-Ideal Circuit Power
Jie Xu, Rui Zhang
cs.ITarXiv:1204.3818v22012
In AI We Trust? Factors That Influence Trustworthiness of AI-infused Decision-Making Processes
Maryam Ashoori, Justin D. Weisz
cs.CYarXiv:1912.02675v12019
Blended learning models
Andrii M. Striuk, Serhiy O. Semerikov
cs.CYphysics.ed-pharXiv:1808.04893v12018
Fully Parameterized Quantile Function for Distributional Reinforcement Learning
Derek Yang, Li Zhao, Zichuan Lin +3
cs.LGcs.AIstat.MLarXiv:1911.02140v32019
What Is the Fractional Laplacian?
Anna Lischke, Guofei Pang, Mamikon Gulian +8
math.NAarXiv:1801.09767v32018
RAPID: Robot Agentic Programming from Demonstrations
Yuyao Liu, Jiayuan Mao, David Hsu +2
cs.ROcs.AIcs.CVarXiv:2609.30249v12026
SparseFool: a few pixels make a big difference
Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
cs.CVcs.CRcs.LGarXiv:1811.02248v42018
Graph Summarization Methods and Applications: A Survey
Yike Liu, Tara Safavi, Abhilash Dighe +1
cs.IRcs.AIcs.DBarXiv:1612.04883v32016
Deep learning enhanced mobile-phone microscopy
Yair Rivenson, Hatice Ceylan Koydemir, Hongda Wang +8
cs.LGcs.CVphysics.med-pharXiv:1712.04139v12017
EgoAVU: Egocentric Audio-Visual Understanding
Ashish Seth, Xinhao Mei, Changsheng Zhao +9
cs.CVarXiv:2602.06139v12026
Blended Diffusion for Text-driven Editing of Natural Images
Omri Avrahami, Dani Lischinski, Ohad Fried
cs.CVcs.GRcs.LGarXiv:2111.14818v22021
On the Optimality of Reconfigurable Intelligent Surfaces (RISs): Passive Beamforming, Modulation, and Resource Allocation
Minchae Jung, Walid Saad, Merouane Debbah +1
cs.ITeess.SPmath.ITarXiv:1910.00968v22019
Video Background Music Generation with Controllable Music Transformer
Shangzhe Di, Zeren Jiang, Si Liu +5
cs.MMcs.SDeess.ASarXiv:2111.08380v12021
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects
Fredrik D. Johansson, Uri Shalit, Nathan Kallus +1
cs.LGstat.MLarXiv:2001.07426v42020
Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning
Pan Zhou, Jiashi Feng, Chao Ma +3
cs.LGcs.AImath.OCarXiv:2010.05627v22020
Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View
Yiping Lu, Zhuohan Li, Di He +5
cs.LGcs.CLstat.MLarXiv:1906.02762v12019
ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts
Yuta Koreeda, Christopher D. Manning
cs.CLcs.AIcs.LGarXiv:2110.01799v12021
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
Tianyu Gao, Xu Han, Hao Zhu +4
cs.CLarXiv:1910.07124v12019
Graph Structure Learning for Robust Graph Neural Networks
Wei Jin, Yao Ma, Xiaorui Liu +3
cs.LGcs.CRcs.SIarXiv:2005.10203v32020
Automatic Theorem Proving in Walnut
Hamoon Mousavi
cs.FLcs.LOcs.MSarXiv:1603.06017v22016
DeepOBS: A Deep Learning Optimizer Benchmark Suite
Frank Schneider, Lukas Balles, Philipp Hennig
cs.LGstat.MLarXiv:1903.05499v12019
Distributed Quantum Computation Based-on Small Quantum Registers
Liang Jiang, Jacob M. Taylor, Anders S. Sørensen +1
quant-pharXiv:0709.4539v22007
GMT: General Motion Tracking for Humanoid Whole-Body Control
Zixuan Chen, Mazeyu Ji, Xuxin Cheng +3
cs.ROarXiv:2506.14770v22025
Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey
Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy
cs.CVarXiv:1901.08292v12019
Robust Watermarking of Neural Network with Exponential Weighting
Ryota Namba, Jun Sakuma
cs.CRarXiv:1901.06151v12019
Proportionally Fair Clustering
Xingyu Chen, Brandon Fain, Liang Lyu +1
cs.LGcs.DScs.GTarXiv:1905.03674v32019
Towards Topic-Guided Conversational Recommender System
Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao +2
cs.CLcs.HCcs.IRarXiv:2010.04125v22020
Contrastive Losses and Solution Caching for Predict-and-Optimize
Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti +3
cs.LGcs.AIarXiv:2011.05354v22020
Mnemis: Dual-Route Retrieval on Hierarchical Graphs for Long-Term LLM Memory
Zihao Tang, Xin Yu, Ziyu Xiao +9
cs.CLarXiv:2602.15313v22026
Fast Differentially Private Matrix Factorization
Ziqi Liu, Yu-Xiang Wang, Alexander J. Smola
cs.LGcs.AIarXiv:1505.01419v22015
Harmonic Networks: Deep Translation and Rotation Equivariance
Daniel E. Worrall, Stephan J. Garbin, Daniyar Turmukhambetov +1
cs.CVcs.LGstat.MLarXiv:1612.04642v22016

Every paper with a summary

Zero-Shot Terrain Generalization for Visual Locomotion Policies

PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent Learning -- Lifelong

Modern Regularization Methods for Inverse Problems

Globally Normalized Transition-Based Neural Networks

The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks

Automated distribution of quantum circuits via hypergraph partitioning

Anchor-free Oriented Proposal Generator for Object Detection

Mitigating Inter-network Interference in LoRa Networks

Designing and Training of A Dual CNN for Image Denoising

Stochastic gradient descent for hybrid quantum-classical optimization

Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach

Enhancing Mobile "How-to" Queries with Automated Search Results Verification and Reranking

Funnel Libraries for Real-Time Robust Feedback Motion Planning

Knockoff Nets: Stealing Functionality of Black-Box Models

WHAM!: Extending Speech Separation to Noisy Environments

Promptify: Text-to-Image Generation through Interactive Prompt Exploration with Large Language Models

HNeRV: A Hybrid Neural Representation for Videos

Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks

Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation

ConvPoint: Continuous Convolutions for Point Cloud Processing

Learning Algorithms for Active Learning

Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities

Leaf Classification Using Shape, Color, and Texture Features

Truncated Proximal Policy Optimization

Recurrent Autoregressive Networks for Online Multi-Object Tracking

Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools

Scenic: A Language for Scenario Specification and Data Generation

Estimating treatment effect heterogeneity in randomized program evaluation

Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers

Throughput Optimal Policies for Energy Harvesting Wireless Transmitters with Non-Ideal Circuit Power

In AI We Trust? Factors That Influence Trustworthiness of AI-infused Decision-Making Processes

Blended learning models

Fully Parameterized Quantile Function for Distributional Reinforcement Learning

What Is the Fractional Laplacian?

RAPID: Robot Agentic Programming from Demonstrations

SparseFool: a few pixels make a big difference

Graph Summarization Methods and Applications: A Survey

Deep learning enhanced mobile-phone microscopy

EgoAVU: Egocentric Audio-Visual Understanding

Blended Diffusion for Text-driven Editing of Natural Images

On the Optimality of Reconfigurable Intelligent Surfaces (RISs): Passive Beamforming, Modulation, and Resource Allocation

Video Background Music Generation with Controllable Music Transformer

Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects

Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning

Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View

ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts

FewRel 2.0: Towards More Challenging Few-Shot Relation Classification

Graph Structure Learning for Robust Graph Neural Networks

Automatic Theorem Proving in Walnut

DeepOBS: A Deep Learning Optimizer Benchmark Suite

Distributed Quantum Computation Based-on Small Quantum Registers

GMT: General Motion Tracking for Humanoid Whole-Body Control

Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey

Robust Watermarking of Neural Network with Exponential Weighting

Proportionally Fair Clustering

Towards Topic-Guided Conversational Recommender System

Contrastive Losses and Solution Caching for Predict-and-Optimize

Mnemis: Dual-Route Retrieval on Hierarchical Graphs for Long-Term LLM Memory

Fast Differentially Private Matrix Factorization

Harmonic Networks: Deep Translation and Rotation Equivariance