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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31,441 to 31,500 of 61,351

Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases
Senthil Purushwalkam, Abhinav Gupta
cs.CVarXiv:2007.13916v22020
Negative probability
Andreas Blass, Yuri Gurevich
quant-pharXiv:1502.00666v12015
The Complexity of Quantum States and Transformations: From Quantum Money to Black Holes
Scott Aaronson
quant-phcs.CCgr-qcarXiv:1607.05256v12016
AC Power Flow Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE
Cédric Josz, Stéphane Fliscounakis, Jean Maeght +1
math.OCarXiv:1603.01533v32016
Convolutional Neural Networks for Toxic Comment Classification
Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis +1
cs.CLcs.LGarXiv:1802.09957v12018
TopGQ: Fast GNN Post-Training Quantization Leveraging Topology Information
Dain Kwon, Kanghyun Choi, Hyeyoon Lee +4
cs.LGcs.AIarXiv:2608.30394v12026
Inversion using a new low-dimensional representation of complex binary geological media based on a deep neural network
Eric Laloy, Romain Hérault, John Lee +2
stat.MLphysics.geo-pharXiv:1710.09196v12017
Optimal Mechansim Design and Money Burning
Jason D. Hartline, Tim Roughgarden
cs.GTcs.DSarXiv:0804.2097v12008
A $C^1$ virtual element method for the Cahn-Hilliard equation with polygonal meshes
Paola F. Antonietti, Lourenco Beirao da Veiga, Simone Scacchi +1
math.NAarXiv:1502.03259v12015
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning
Minne Li, Zhiwei, Qin +7
cs.MAarXiv:1901.11454v12019
Uncertainty of Vision Medical Foundation Models
Haoxu Huang, Narges Razavian
cs.LGarXiv:2608.30390v12026
Diff-TTS: A Denoising Diffusion Model for Text-to-Speech
Myeonghun Jeong, Hyeongju Kim, Sung Jun Cheon +2
eess.AScs.AIcs.SDarXiv:2104.01409v12021
DASC: Decay-Aware State Compression for Hybrid Linear-Attention Serving
Yanqi Yu, Pingwei Sun, Jianchao Tan +4
cs.LGcs.AIarXiv:2608.30386v12026
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer
Zhihe Lu, Sen He, Xiatian Zhu +3
cs.CVarXiv:2108.03032v32021
Interference Assisted Secret Communication
Xiaojun Tang, Ruoheng Liu, Predrag Spasojevic +1
cs.ITcs.CRarXiv:0908.2397v12009
Downlink and Uplink Energy Minimization Through User Association and Beamforming in Cloud RAN
Shixin Luo, Rui Zhang, Teng Joon Lim
cs.ITarXiv:1402.4238v22014
Statistically validated networks in bipartite complex systems
Michele Tumminello, Salvatore Miccichè, Fabrizio Lillo +2
physics.soc-phq-bio.QMarXiv:1008.1414v12010
The matching polytope has exponential extension complexity
Thomas Rothvoss
cs.CCcs.DMmath.COarXiv:1311.2369v42013
Deep Channel Learning For Large Intelligent Surfaces Aided mm-Wave Massive MIMO Systems
Ahmet M. Elbir, A Papazafeiropoulos, P. Kourtessis +1
eess.SPcs.ITcs.LGarXiv:2001.11085v32020
Convergence rates for the RMSprop optimizer with full control of the hyperparameters
Steffen Dereich, Arnulf Jentzen
cs.LGmath.OCmath.PRarXiv:2608.30382v12026
Contrastive Learning for Many-to-many Multilingual Neural Machine Translation
Xiao Pan, Mingxuan Wang, Liwei Wu +1
cs.CLcs.LGarXiv:2105.09501v32021
Frequentist Consistency of Variational Bayes
Yixin Wang, David M. Blei
stat.MLcs.LGmath.STarXiv:1705.03439v32017
LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learning
Kenneth Shaw, Ananye Agarwal, Deepak Pathak
cs.ROcs.AIcs.CVarXiv:2309.06440v12023
Federated Unlearning via Class-Discriminative Pruning
Junxiao Wang, Song Guo, Xin Xie +1
cs.CVcs.CRcs.DCarXiv:2110.11794v32021
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation
Sebastian Ruder, Noah Constant, Jan Botha +8
cs.CLcs.AIarXiv:2104.07412v22021
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity
Shuangli Li, Jingbo Zhou, Tong Xu +6
q-bio.QMcs.LGarXiv:2107.10670v12021
Deep Structured Output Learning for Unconstrained Text Recognition
Max Jaderberg, Karen Simonyan, Andrea Vedaldi +1
cs.CVarXiv:1412.5903v52014
Understanding Knowledge Distillation in Non-autoregressive Machine Translation
Chunting Zhou, Graham Neubig, Jiatao Gu
cs.CLarXiv:1911.02727v32019
Does data interpolation contradict statistical optimality?
Mikhail Belkin, Alexander Rakhlin, Alexandre B. Tsybakov
stat.MLcs.LGmath.STarXiv:1806.09471v12018
Mondrian Forests: Efficient Online Random Forests
Balaji Lakshminarayanan, Daniel M. Roy, Yee Whye Teh
stat.MLcs.LGarXiv:1406.2673v22014
Interpretable Rumor Detection in Microblogs by Attending to User Interactions
Ling Min Serena Khoo, Hai Leong Chieu, Zhong Qian +1
cs.CLcs.IRcs.SIarXiv:2001.10667v12020
Generative Dual Adversarial Network for Generalized Zero-shot Learning
He Huang, Changhu Wang, Philip S. Yu +1
cs.CVarXiv:1811.04857v42018
A Disciplined Approach to Adopting Agile Practices: The Agile Adoption Framework
Ahmed Sidky, James Arthur, Shawn Bohner
cs.SEarXiv:0704.1294v12007
Fine-grained Sentiment Classification using BERT
Manish Munikar, Sushil Shakya, Aakash Shrestha
cs.CLcs.LGstat.MLarXiv:1910.03474v12019
Studying Very Low Resolution Recognition Using Deep Networks
Zhangyang Wang, Shiyu Chang, Yingzhen Yang +2
cs.CVcs.AIcs.LGarXiv:1601.04153v22016
RSLM: Training-Free Vector Quantization for Approximate Nearest Neighbor Search
Rastislav Lenhardt, Teodora Dobos, Thomas Vecchiato +2
cs.LGcs.IRarXiv:2608.30384v12026
DeepFactors: Real-Time Probabilistic Dense Monocular SLAM
Jan Czarnowski, Tristan Laidlow, Ronald Clark +1
cs.CVarXiv:2001.05049v12020
Slice sampling covariance hyperparameters of latent Gaussian models
Iain Murray, Ryan Prescott Adams
stat.COstat.MLarXiv:1006.0868v22010
Full-Duplex MIMO Relaying: Achievable Rates under Limited Dynamic Range
Brian P. Day, Adam R. Margetts, Daniel W. Bliss +1
cs.ITarXiv:1111.2618v42011
Beat-Synchronous Tokenization for ECG Transformers
Ahmed Sameh, Nolan Wilson, Max Enderlein +1
cs.LGeess.SParXiv:2608.30367v12026
An Online Plug-and-Play Algorithm for Regularized Image Reconstruction
Yu Sun, Brendt Wohlberg, Ulugbek S. Kamilov
cs.CVeess.IVarXiv:1809.04693v12018
Neural Architecture Search: Insights from 1000 Papers
Colin White, Mahmoud Safari, Rhea Sukthanker +5
cs.LGcs.AIstat.MLarXiv:2301.08727v22023
Mode Connectivity Beyond Classifiers: Evidence from Generative and Contrastive Models
Chengzheyi Yao, Yongzhao Zhang, Yongding Tian
cs.LGarXiv:2608.30366v12026
Patterns in the Chaos - a Study of Performance Variation and Predictability in Public IaaS Clouds
Philipp Leitner, Juergen Cito
cs.DCarXiv:1411.2429v22014
On Learning Intrinsic Rewards for Policy Gradient Methods
Zeyu Zheng, Junhyuk Oh, Satinder Singh
cs.AIcs.LGstat.MLarXiv:1804.06459v22018
Surface Representation for Point Clouds
Haoxi Ran, Jun Liu, Chengjie Wang
cs.CVcs.AIcs.GRarXiv:2205.05740v22022
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
Bill Yuchen Lin, Yicheng Fu, Karina Yang +6
cs.CLcs.AIcs.LGarXiv:2305.17390v22023
Beyond Churn: Predicting Financial Fragmentation in Retail Banking with Temporal Machine Learning
Ananyaa Chopra, Brandon Xu, Brendan Yuen +2
cs.LGarXiv:2608.30364v12026
NVILA: Efficient Frontier Visual Language Models
Zhijian Liu, Ligeng Zhu, Baifeng Shi +24
cs.CVarXiv:2412.04468v32024
SceneNet: Understanding Real World Indoor Scenes With Synthetic Data
Ankur Handa, Viorica Patraucean, Vijay Badrinarayanan +2
cs.CVarXiv:1511.07041v22015
Learning to Protect Communications with Adversarial Neural Cryptography
Martín Abadi, David G. Andersen
cs.CRcs.LGarXiv:1610.06918v12016
Coarse composition suffices: tabular in-context learning for multi-activity antimicrobial peptide profiling
Raunak Kumar, Anuj Pal, Dhruvi Solanki +3
cs.LGq-bio.BMarXiv:2608.30337v12026
ICASSP 2022 Deep Noise Suppression Challenge
Harishchandra Dubey, Vishak Gopal, Ross Cutler +8
eess.AScs.SDarXiv:2202.13288v12022
Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer
Shuang Wu, Youtian Lin, Feihu Zhang +5
cs.CVarXiv:2405.14832v22024
Optimal Power Flow Pursuit
Emiliano Dall'Anese, Andrea Simonetto
math.OCarXiv:1601.07263v42016
Learning PDE Time-Stepping with Neural Cellular Automata
Esha Saha, Hao Wang
cs.LGstat.MLarXiv:2608.30328v12026
Large Language Models are few(1)-shot Table Reasoners
Wenhu Chen
cs.CLarXiv:2210.06710v22022
Generative multi-domain transfer learning for fault detection in data-scarce wind turbines
Stefan Jonas, Angela Meyer
cs.LGarXiv:2608.30323v12026
Scalable Kernel Methods via Doubly Stochastic Gradients
Bo Dai, Bo Xie, Niao He +4
cs.LGstat.MLarXiv:1407.5599v42014
Online Estimation of Dynamic Origin-Destination Matrices Using Reinforcement Learning with Link-Flow Propagation Guidance
Donggyu Min, Dong-Kyu Kim
cs.LGcs.AIarXiv:2608.30317v12026

Every paper with a summary

Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases

Negative probability

The Complexity of Quantum States and Transformations: From Quantum Money to Black Holes

AC Power Flow Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE

Convolutional Neural Networks for Toxic Comment Classification

TopGQ: Fast GNN Post-Training Quantization Leveraging Topology Information

Inversion using a new low-dimensional representation of complex binary geological media based on a deep neural network

Optimal Mechansim Design and Money Burning

A $C^1$ virtual element method for the Cahn-Hilliard equation with polygonal meshes

Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning

Uncertainty of Vision Medical Foundation Models

Diff-TTS: A Denoising Diffusion Model for Text-to-Speech

DASC: Decay-Aware State Compression for Hybrid Linear-Attention Serving

Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer

Interference Assisted Secret Communication

Downlink and Uplink Energy Minimization Through User Association and Beamforming in Cloud RAN

Statistically validated networks in bipartite complex systems

The matching polytope has exponential extension complexity

Deep Channel Learning For Large Intelligent Surfaces Aided mm-Wave Massive MIMO Systems

Convergence rates for the RMSprop optimizer with full control of the hyperparameters

Contrastive Learning for Many-to-many Multilingual Neural Machine Translation

Frequentist Consistency of Variational Bayes

LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learning

Federated Unlearning via Class-Discriminative Pruning

XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation

Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity

Deep Structured Output Learning for Unconstrained Text Recognition

Understanding Knowledge Distillation in Non-autoregressive Machine Translation

Does data interpolation contradict statistical optimality?

Mondrian Forests: Efficient Online Random Forests

Interpretable Rumor Detection in Microblogs by Attending to User Interactions

Generative Dual Adversarial Network for Generalized Zero-shot Learning

A Disciplined Approach to Adopting Agile Practices: The Agile Adoption Framework

Fine-grained Sentiment Classification using BERT

Studying Very Low Resolution Recognition Using Deep Networks

RSLM: Training-Free Vector Quantization for Approximate Nearest Neighbor Search

DeepFactors: Real-Time Probabilistic Dense Monocular SLAM

Slice sampling covariance hyperparameters of latent Gaussian models

Full-Duplex MIMO Relaying: Achievable Rates under Limited Dynamic Range

Beat-Synchronous Tokenization for ECG Transformers

An Online Plug-and-Play Algorithm for Regularized Image Reconstruction

Neural Architecture Search: Insights from 1000 Papers

Mode Connectivity Beyond Classifiers: Evidence from Generative and Contrastive Models

Patterns in the Chaos - a Study of Performance Variation and Predictability in Public IaaS Clouds

On Learning Intrinsic Rewards for Policy Gradient Methods

Surface Representation for Point Clouds

SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks

Beyond Churn: Predicting Financial Fragmentation in Retail Banking with Temporal Machine Learning

NVILA: Efficient Frontier Visual Language Models

SceneNet: Understanding Real World Indoor Scenes With Synthetic Data

Learning to Protect Communications with Adversarial Neural Cryptography

Coarse composition suffices: tabular in-context learning for multi-activity antimicrobial peptide profiling

ICASSP 2022 Deep Noise Suppression Challenge

Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer

Optimal Power Flow Pursuit

Learning PDE Time-Stepping with Neural Cellular Automata

Large Language Models are few(1)-shot Table Reasoners

Generative multi-domain transfer learning for fault detection in data-scarce wind turbines

Scalable Kernel Methods via Doubly Stochastic Gradients

Online Estimation of Dynamic Origin-Destination Matrices Using Reinforcement Learning with Link-Flow Propagation Guidance