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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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38,701 to 38,760 of 61,351

A Simulation Model for the Waterfall Software Development Life Cycle
Youssef Bassil
cs.SEarXiv:1205.6904v12012
BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis
Lior Yariv, Peter Hedman, Christian Reiser +5
cs.CVarXiv:2302.14859v22023
On the Convexity of Latent Social Network Inference
Seth A. Myers, Jure Leskovec
cs.SIphysics.soc-pharXiv:1010.5504v12010
Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
Zhimin Li, Jianwei Zhang, Qin Lin +42
cs.CVarXiv:2405.08748v12024
Prompt Cache: Modular Attention Reuse for Low-Latency Inference
In Gim, Guojun Chen, Seung-seob Lee +3
cs.CLcs.AIarXiv:2311.04934v22023
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding
Chenxu Luo, Zhenheng Yang, Peng Wang +4
cs.CVarXiv:1810.06125v22018
JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection
Keren Fu, Deng-Ping Fan, Ge-Peng Ji +1
cs.CVarXiv:2004.08515v12020
Morphable Face Models - An Open Framework
Thomas Gerig, Andreas Morel-Forster, Clemens Blumer +4
cs.CVarXiv:1709.08398v22017
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices
Sadeep Jayasumana, Richard Hartley, Mathieu Salzmann +2
cs.CVarXiv:1412.4172v12014
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models
Boxin Wang, Chejian Xu, Shuohang Wang +5
cs.CLcs.CRcs.LGarXiv:2111.02840v22021
Think before you speak: Training Language Models With Pause Tokens
Sachin Goyal, Ziwei Ji, Ankit Singh Rawat +3
cs.CLcs.AIcs.LGarXiv:2310.02226v32023
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
Dongkwan Kim, Alice Oh
cs.LGcs.AIcs.SIarXiv:2204.04879v12022
Transformers learn to implement preconditioned gradient descent for in-context learning
Kwangjun Ahn, Xiang Cheng, Hadi Daneshmand +1
cs.LGcs.AIarXiv:2306.00297v22023
Variational inference for Monte Carlo objectives
Andriy Mnih, Danilo J. Rezende
cs.LGstat.MLarXiv:1602.06725v22016
MMA Training: Direct Input Space Margin Maximization through Adversarial Training
Gavin Weiguang Ding, Yash Sharma, Kry Yik Chau Lui +1
cs.LGcs.NEstat.MLarXiv:1812.02637v42018
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization
Vadim Kantorov, Maxime Oquab, Minsu Cho +1
cs.CVarXiv:1609.04331v12016
Software Defined Optical Networks (SDONs): A Comprehensive Survey
Akhilesh Thyagaturu, Anu Mercian, Michael P. McGarry +2
cs.NIarXiv:1511.04376v32015
Stochastic modelling of reaction-diffusion processes: algorithms for bimolecular reactions
Radek Erban, S Jonathan Chapman
physics.bio-phq-bio.QMarXiv:0903.1298v12009
Detecting highly overlapping community structure by greedy clique expansion
Conrad Lee, Fergal Reid, Aaron McDaid +1
physics.data-anphysics.soc-pharXiv:1002.1827v22010
Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling
Jakob Hoydis, Fayçal Aït Aoudia, Sebastian Cammerer +4
cs.ITcs.AIcs.LGarXiv:2303.11103v22023
Linear-Quadratic Mean Field Games
Alain Bensoussan, Joseph Sung, Phillip Yam +1
math.OCarXiv:1404.5741v12014
Transitioning to human interaction with AI systems: New challenges and opportunities for HCI professionals to enable human-centered AI
Wei Xu, Marvin J. Dainoff, Liezhong Ge +1
cs.HCcs.AIarXiv:2105.05424v32021
High Accuracy Mantle Convection Simulation through Modern Numerical Methods. II: Realistic Models and Problems
Timo Heister, Juliane Dannberg, Rene Gassmöller +1
cs.CEarXiv:1702.05075v22017
A Convolutional Neural Network Approach for Post-Processing in HEVC Intra Coding
Yuanying Dai, Dong Liu, Feng Wu
cs.MMarXiv:1608.06690v22016
Large Intelligent Surface/Antennas (LISA): Making Reflective Radios Smart
Ying-Chang Liang, Ruizhe Long, Qianqian Zhang +3
cs.ITarXiv:1906.06578v12019
Cross-Domain Adaptive Teacher for Object Detection
Yu-Jhe Li, Xiaoliang Dai, Chih-Yao Ma +6
cs.CVarXiv:2111.13216v32021
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments
Jingwei Zhang, Jost Tobias Springenberg, Joschka Boedecker +1
cs.ROcs.AIcs.LGarXiv:1612.05533v32016
A deterministic alternative to the full configuration interaction quantum Monte Carlo method
Norm M. Tubman, Joonho Lee, Tyler Y. Takeshita +2
cond-mat.str-elphysics.chem-phquant-pharXiv:1603.02686v12016
Towards a Quantum-Like Cognitive Architecture for Decision-Making
Catarina Moreira, Lauren Fell, Shahram Dehdashti +2
cs.AIarXiv:1905.05176v22019
The Quantum Approximate Optimization Algorithm and the Sherrington-Kirkpatrick Model at Infinite Size
Edward Farhi, Jeffrey Goldstone, Sam Gutmann +1
quant-phcond-mat.dis-nncond-mat.stat-mecharXiv:1910.08187v42019
Minimally Entangled Typical Thermal State Algorithms
E. M. Stoudenmire, Steven R. White
cond-mat.str-elarXiv:1002.1305v12010
Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models
Juan Miguel Lopez Alcaraz, Nils Strodthoff
cs.LGstat.MLarXiv:2208.09399v32022
Cold Fusion: Training Seq2Seq Models Together with Language Models
Anuroop Sriram, Heewoo Jun, Sanjeev Satheesh +1
cs.CLarXiv:1708.06426v12017
COLOSSUS: A python toolkit for cosmology, large-scale structure, and dark matter halos
Benedikt Diemer
astro-ph.COastro-ph.IMarXiv:1712.04512v32017
DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation
Chen Wang, Haochen Shi, Weizhuo Wang +3
cs.ROcs.AIcs.CVarXiv:2403.07788v22024
kPAM: KeyPoint Affordances for Category-Level Robotic Manipulation
Lucas Manuelli, Wei Gao, Peter Florence +1
cs.ROarXiv:1903.06684v22019
ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding
Ning Liu, Yongchao Long, Changqing Zou +3
cs.CVarXiv:1811.11968v52018
Do NLP Models Know Numbers? Probing Numeracy in Embeddings
Eric Wallace, Yizhong Wang, Sujian Li +2
cs.CLcs.LGarXiv:1909.07940v22019
PixelSNAIL: An Improved Autoregressive Generative Model
Xi Chen, Nikhil Mishra, Mostafa Rohaninejad +1
cs.LGstat.MLarXiv:1712.09763v12017
Learning how to Active Learn: A Deep Reinforcement Learning Approach
Meng Fang, Yuan Li, Trevor Cohn
cs.CLcs.AIcs.LGarXiv:1708.02383v12017
The Scenario Approach for Stochastic Model Predictive Control with Bounds on Closed-Loop Constraint Violations
Georg Schildbach, Lorenzo Fagiano, Christoph Frei +1
math.OCarXiv:1307.5640v22013
Consistency Regularization for Generative Adversarial Networks
Han Zhang, Zizhao Zhang, Augustus Odena +1
cs.LGcs.CVstat.MLarXiv:1910.12027v22019
Adversarial Attacks on Deep-Learning Based Radio Signal Classification
Meysam Sadeghi, Erik G. Larsson
cs.ITcs.CRcs.LGarXiv:1808.07713v12018
YouTube UGC Dataset for Video Compression Research
Yilin Wang, Sasi Inguva, Balu Adsumilli
cs.MMeess.IVarXiv:1904.06457v22019
All You Need is DAG
Idit Keidar, Eleftherios Kokoris-Kogias, Oded Naor +1
cs.DCarXiv:2102.08325v22021
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models
Tongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer +1
cs.CLarXiv:2101.00288v22021
Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance
Shenhao Zhu, Junming Leo Chen, Zuozhuo Dai +6
cs.CVarXiv:2403.14781v22024
Hard-Aware Deeply Cascaded Embedding
Yuhui Yuan, Kuiyuan Yang, Chao Zhang
cs.CVarXiv:1611.05720v22016
TRAK: Attributing Model Behavior at Scale
Sung Min Park, Kristian Georgiev, Andrew Ilyas +2
stat.MLcs.LGarXiv:2303.14186v22023
SLURP: A Spoken Language Understanding Resource Package
Emanuele Bastianelli, Andrea Vanzo, Pawel Swietojanski +1
cs.CLcs.LGarXiv:2011.13205v12020
Repeated Quantum Error Detection in a Surface Code
Christian Kraglund Andersen, Ants Remm, Stefania Lazar +6
quant-pharXiv:1912.09410v12019
Re-examining rates of lithium-ion battery technology improvement and cost decline
Micah S. Ziegler, Jessika E. Trancik
physics.soc-pharXiv:2007.13920v22020
The AGI Containment Problem
James Babcock, Janos Kramar, Roman Yampolskiy
cs.AIarXiv:1604.00545v32016
Learnable Programming: Blocks and Beyond
David Bau, Jeff Gray, Caitlin Kelleher +2
cs.PLcs.CYcs.HCarXiv:1705.09413v12017
Deep Transfer Learning for Person Re-identification
Mengyue Geng, Yaowei Wang, Tao Xiang +1
cs.CVarXiv:1611.05244v22016
A Survey of Reinforcement Learning Informed by Natural Language
Jelena Luketina, Nantas Nardelli, Gregory Farquhar +5
cs.LGcs.AIcs.CLarXiv:1906.03926v12019
Wireless Information and Power Transfer in Multiuser OFDM Systems
Xun Zhou, Rui Zhang, Chin Keong Ho
cs.ITarXiv:1308.2462v22013
Information-theoretic bounds on quantum advantage in machine learning
Hsin-Yuan Huang, Richard Kueng, John Preskill
quant-phcs.ITcs.LGarXiv:2101.02464v22021
FSDR: Frequency Space Domain Randomization for Domain Generalization
Jiaxing Huang, Dayan Guan, Aoran Xiao +1
cs.CVarXiv:2103.02370v12021
CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving
Xiaodan Liang, Tairui Wang, Luona Yang +1
cs.CVcs.ROarXiv:1807.03776v12018

Every paper with a summary

A Simulation Model for the Waterfall Software Development Life Cycle

BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis

On the Convexity of Latent Social Network Inference

Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

Prompt Cache: Modular Attention Reuse for Low-Latency Inference

Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding

JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection

Morphable Face Models - An Open Framework

Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices

Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models

Think before you speak: Training Language Models With Pause Tokens

How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Transformers learn to implement preconditioned gradient descent for in-context learning

Variational inference for Monte Carlo objectives

MMA Training: Direct Input Space Margin Maximization through Adversarial Training

ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization

Software Defined Optical Networks (SDONs): A Comprehensive Survey

Stochastic modelling of reaction-diffusion processes: algorithms for bimolecular reactions

Detecting highly overlapping community structure by greedy clique expansion

Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling

Linear-Quadratic Mean Field Games

Transitioning to human interaction with AI systems: New challenges and opportunities for HCI professionals to enable human-centered AI

High Accuracy Mantle Convection Simulation through Modern Numerical Methods. II: Realistic Models and Problems

A Convolutional Neural Network Approach for Post-Processing in HEVC Intra Coding

Large Intelligent Surface/Antennas (LISA): Making Reflective Radios Smart

Cross-Domain Adaptive Teacher for Object Detection

Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments

A deterministic alternative to the full configuration interaction quantum Monte Carlo method

Towards a Quantum-Like Cognitive Architecture for Decision-Making

The Quantum Approximate Optimization Algorithm and the Sherrington-Kirkpatrick Model at Infinite Size

Minimally Entangled Typical Thermal State Algorithms

Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models

Cold Fusion: Training Seq2Seq Models Together with Language Models

COLOSSUS: A python toolkit for cosmology, large-scale structure, and dark matter halos

DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation

kPAM: KeyPoint Affordances for Category-Level Robotic Manipulation

ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding

Do NLP Models Know Numbers? Probing Numeracy in Embeddings

PixelSNAIL: An Improved Autoregressive Generative Model

Learning how to Active Learn: A Deep Reinforcement Learning Approach

The Scenario Approach for Stochastic Model Predictive Control with Bounds on Closed-Loop Constraint Violations

Consistency Regularization for Generative Adversarial Networks

Adversarial Attacks on Deep-Learning Based Radio Signal Classification

YouTube UGC Dataset for Video Compression Research

All You Need is DAG

Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models

Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance

Hard-Aware Deeply Cascaded Embedding

TRAK: Attributing Model Behavior at Scale

SLURP: A Spoken Language Understanding Resource Package

Repeated Quantum Error Detection in a Surface Code

Re-examining rates of lithium-ion battery technology improvement and cost decline

The AGI Containment Problem

Learnable Programming: Blocks and Beyond

Deep Transfer Learning for Person Re-identification

A Survey of Reinforcement Learning Informed by Natural Language

Wireless Information and Power Transfer in Multiuser OFDM Systems

Information-theoretic bounds on quantum advantage in machine learning

FSDR: Frequency Space Domain Randomization for Domain Generalization

CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving