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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53,521 to 53,580 of 119,510

MONAS: Multi-Objective Neural Architecture Search using Reinforcement Learning
Chi-Hung Hsu, Shu-Huan Chang, Jhao-Hong Liang +7
cs.LGcs.AIstat.MLarXiv:1806.10332v22018
Max-Q Selective Imitation for Human-in-the-Loop Online Robot Learning
Zihang Wang, Yishan Wang
cs.ROcs.AIarXiv:2608.15088v12026
Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text
Ameya Prabhu, Aditya Joshi, Manish Shrivastava +1
cs.CLarXiv:1611.00472v12016
Fourier Plane-Wave Series Expansion for Holographic MIMO Communications
Andrea Pizzo, Luca Sanguinetti, Thomas L. Marzetta
cs.ITeess.SParXiv:2105.01535v32021
Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages
Gowtham Ramesh, Sumanth Doddapaneni, Aravinth Bheemaraj +15
cs.CLarXiv:2104.05596v42021
Meta-Learning without Memorization
Mingzhang Yin, George Tucker, Mingyuan Zhou +2
cs.LGcs.AIstat.MLarXiv:1912.03820v32019
A Distributed Synchronous SGD Algorithm with Global Top-$k$ Sparsification for Low Bandwidth Networks
Shaohuai Shi, Qiang Wang, Kaiyong Zhao +4
cs.DCcs.LGarXiv:1901.04359v22019
Microsoft Translator at WMT 2019: Towards Large-Scale Document-Level Neural Machine Translation
Marcin Junczys-Dowmunt
cs.CLarXiv:1907.06170v12019
Private Stochastic Convex Optimization: Optimal Rates in Linear Time
Vitaly Feldman, Tomer Koren, Kunal Talwar
cs.LGcs.CRmath.OCarXiv:2005.04763v12020
Neural Operator: Learning Maps Between Function Spaces
Nikola Kovachki, Zongyi Li, Burigede Liu +4
cs.LGmath.NAarXiv:2108.08481v62021
MM-JudgeBias: A Benchmark for Evaluating Compositional Biases in MLLM-as-a-Judge
Sua Lee, Sanghee Park, Jinbae Im
cs.CLcs.AIcs.CVarXiv:2604.18164v32026
MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting
Wanlin Cai, Yuxuan Liang, Xianggen Liu +2
cs.LGarXiv:2401.00423v12023
HalluPeer: A Taxonomy-driven Benchmark for Detecting Hallucinations in Scientific Peer Reviews
Tzu-Ling Lin, Dong-Ting Yao, Teng-Fang Hsiao +2
cs.AIcs.CLarXiv:2609.03580v12026
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
Pierre Sermanet, David Eigen, Xiang Zhang +3
cs.CVarXiv:1312.6229v42013
Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking
Feng Li, Cheng Tian, Wangmeng Zuo +2
cs.CVarXiv:1803.08679v12018
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
Woong-Gi Chang, Tackgeun You, Seonguk Seo +2
cs.LGcs.AIstat.MLarXiv:1906.03950v12019
Sensing Matrix Optimization for Block-Sparse Decoding
Kevin Rosenblum, Lihi Zelnik-Manor, Yonina C. Eldar
cs.ITarXiv:1009.1533v12010
Reinforcement Learning in Non-Stationary Environments
Sindhu Padakandla, Prabuchandran K. J, Shalabh Bhatnagar
cs.LGcs.AIstat.MLarXiv:1905.03970v42019
Stochastic Optimization for Performative Prediction
Celestine Mendler-Dünner, Juan C. Perdomo, Tijana Zrnic +1
cs.LGcs.GTstat.MLarXiv:2006.06887v42020
Stochastic thermostats: comparison of local and global schemes
Giovanni Bussi, Michele Parrinello
physics.comp-phcond-mat.stat-mecharXiv:0803.4397v12008
Machine Learning for Orders of Magnitude Speedup in Multi-Objective Optimization of Particle Accelerator Systems
Auralee Edelen, Nicole Neveu, Yannick Huber +3
physics.acc-phphysics.comp-pharXiv:1903.07759v52019
Adversarial examples from computational constraints
Sébastien Bubeck, Eric Price, Ilya Razenshteyn
stat.MLcs.CCcs.LGarXiv:1805.10204v12018
Intriguing Properties of Contrastive Losses
Ting Chen, Calvin Luo, Lala Li
cs.LGcs.AIcs.CVarXiv:2011.02803v32020
A General Theory of Concave Regularization for High Dimensional Sparse Estimation Problems
Cun-Hui Zhang, Tong Zhang
stat.MLarXiv:1108.4988v22011
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective
Chengqiang Lu, Qi Liu, Chao Wang +3
physics.comp-phcs.LGarXiv:1906.11081v12019
ASD-DiagNet: A hybrid learning approach for detection of Autism Spectrum Disorder using fMRI data
Taban Eslami, Vahid Mirjalili, Alvis Fong +2
cs.LGeess.IVstat.MLarXiv:1904.07577v12019
Rule Based Rewards for Language Model Safety
Tong Mu, Alec Helyar, Johannes Heidecke +7
cs.AIarXiv:2411.01111v12024
A Closer Look at Memorization in Deep Networks
Devansh Arpit, Stanisław Jastrzębski, Nicolas Ballas +8
stat.MLcs.LGarXiv:1706.05394v22017
Dissimilarity-based Sparse Subset Selection
Ehsan Elhamifar, Guillermo Sapiro, S. Shankar Sastry
cs.LGstat.MLarXiv:1407.6810v22014
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation
Tanya Nair, Doina Precup, Douglas L. Arnold +1
cs.CVarXiv:1808.01200v22018
Full-Duplex OFDM Radar With LTE and 5G NR Waveforms: Challenges, Solutions, and Measurements
Carlos Baquero Barneto, Taneli Riihonen, Matias Turunen +5
eess.SParXiv:1908.03418v12019
The Linear Representation Hypothesis and the Geometry of Large Language Models
Kiho Park, Yo Joong Choe, Victor Veitch
cs.CLcs.AIcs.LGarXiv:2311.03658v22023
Quantum Circuits for Isometries
Raban Iten, Roger Colbeck, Ivan Kukuljan +2
quant-pharXiv:1501.06911v42015
Improved matrix algorithms via the Subsampled Randomized Hadamard Transform
Christos Boutsidis, Alex Gittens
cs.DSmath.NAarXiv:1204.0062v42012
Mitigating Label Length Bias in Large Language Models
Mario Sanz-Guerrero, Katharina von der Wense
cs.CLarXiv:2511.14385v12025
Modular meta-learning
Ferran Alet, Tomás Lozano-Pérez, Leslie P. Kaelbling
cs.LGcs.ROstat.MLarXiv:1806.10166v22018
DM-VIO: Delayed Marginalization Visual-Inertial Odometry
Lukas von Stumberg, Daniel Cremers
cs.CVcs.ROarXiv:2201.04114v12022
DEX: Digit-Level Early Exit for Energy-Efficient MSDF Neural Network Inference
Yousef Sadegheih, Dorit Merhof, Muhammad Usman
cs.ARcs.AIcs.LGarXiv:2610.11748v12026
Quantum computing for energy systems optimization: Challenges and opportunities
Akshay Ajagekar, Fengqi You
quant-phmath.OCarXiv:2003.00254v12020
MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference
Ruijie Zhou, Fanxu Meng, Yufei Xu +4
cs.LGcs.AIarXiv:2605.07363v12026
Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances
Xiangrong Zhang, Tianyang Zhang, Guanchun Wang +4
cs.CVarXiv:2309.06751v12023
Vision: Data-Centric Anchoring for Robust and Interpretable Agentic AI
Arun Vignesh Malarkkan, Xinyuan Wang, Yanjie Fu
cs.AIcs.ETcs.LGarXiv:2609.08216v12026
Structured Bayesian Pruning via Log-Normal Multiplicative Noise
Kirill Neklyudov, Dmitry Molchanov, Arsenii Ashukha +1
stat.MLarXiv:1705.07283v22017
Towards Context-aware Interaction Recognition
Bohan Zhuang, Lingqiao Liu, Chunhua Shen +1
cs.CVarXiv:1703.06246v32017
Topological Attribution Distance (TAD): Revealing Segment-Level RAG Influence on LLM Output Geometry for Incident Log Analysis
Reza Fayyazi, Michael Zuzak, Shanchieh Jay Yang
cs.CRcs.AIarXiv:2608.16775v12026
Winter wheat yield prediction using convolutional neural networks from environmental and phenological data
Amit Kumar Srivastava, Nima Safaei, Saeed Khaki +5
cs.LGarXiv:2105.01282v22021
LatentMD: Benchmarking Markdown Boundary Failures in LLM-Generated Text
Sungjune Lee, Myungjoo Kang
cs.SEcs.CLcs.LGarXiv:2609.06993v22026
TS2-Net: Token Shift and Selection Transformer for Text-Video Retrieval
Yuqi Liu, Pengfei Xiong, Luhui Xu +2
cs.CVarXiv:2207.07852v12022
6-DOF Grasping for Target-driven Object Manipulation in Clutter
Adithyavairavan Murali, Arsalan Mousavian, Clemens Eppner +2
cs.ROcs.CVarXiv:1912.03628v22019
Thinking effort aligns between humans and reasoning models in abductive reasoning
Henry Arthur
cs.CLcs.AIarXiv:2609.01867v12026
ReBridge-Flow: Re-Coupling Posterior Bridges in Flow Matching for Image Restoration
Jiaqi Zhang, Yiqi Wang, Hongjie Wu +6
cs.CVarXiv:2609.00811v12026
Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture
Denis Tome, Matteo Toso, Lourdes Agapito +1
cs.CVarXiv:1808.01525v12018
Machine learning-guided synthesis of advanced inorganic materials
Bijun Tang, Yuhao Lu, Jiadong Zhou +6
cond-mat.mtrl-scics.LGphysics.comp-pharXiv:1905.03938v12019
Mitigating Multimodal Hallucination via Phase-wise Self-reward
Yu Zhang, Chuyang Sun, Kehai Chen +3
cs.CVcs.CLarXiv:2604.17982v12026
Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection
Hanoona Rasheed, Muhammad Maaz, Muhammad Uzair Khattak +2
cs.CVcs.AIarXiv:2207.03482v32022
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
Hehe Fan, Xin Yu, Yuhang Ding +2
cs.CVarXiv:2205.13713v12022
Bi-directional LSTM Recurrent Neural Network for Chinese Word Segmentation
Yushi Yao, Zheng Huang
cs.LGcs.CLarXiv:1602.04874v12016
Semantic Uncertainty-Guided Orchestration in Hierarchical Multi-Agent Systems
John Knowlton, Aritra Guha, Risto Miikkulainen
cs.AIarXiv:2608.14707v12026
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach
Amir-Hossein Karimi, Julius von Kügelgen, Bernhard Schölkopf +1
cs.LGcs.AIstat.MLarXiv:2006.06831v32020
Shared Predictive Cross-Modal Deep Quantization
Erkun Yang, Cheng Deng, Chao Li +3
cs.CVarXiv:1904.07488v12019

Every paper with a summary

MONAS: Multi-Objective Neural Architecture Search using Reinforcement Learning

Max-Q Selective Imitation for Human-in-the-Loop Online Robot Learning

Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text

Fourier Plane-Wave Series Expansion for Holographic MIMO Communications

Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages

Meta-Learning without Memorization

A Distributed Synchronous SGD Algorithm with Global Top-$k$ Sparsification for Low Bandwidth Networks

Microsoft Translator at WMT 2019: Towards Large-Scale Document-Level Neural Machine Translation

Private Stochastic Convex Optimization: Optimal Rates in Linear Time

Neural Operator: Learning Maps Between Function Spaces

MM-JudgeBias: A Benchmark for Evaluating Compositional Biases in MLLM-as-a-Judge

MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting

HalluPeer: A Taxonomy-driven Benchmark for Detecting Hallucinations in Scientific Peer Reviews

OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks

Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking

Domain-Specific Batch Normalization for Unsupervised Domain Adaptation

Sensing Matrix Optimization for Block-Sparse Decoding

Reinforcement Learning in Non-Stationary Environments

Stochastic Optimization for Performative Prediction

Stochastic thermostats: comparison of local and global schemes

Machine Learning for Orders of Magnitude Speedup in Multi-Objective Optimization of Particle Accelerator Systems

Adversarial examples from computational constraints

Intriguing Properties of Contrastive Losses

A General Theory of Concave Regularization for High Dimensional Sparse Estimation Problems

Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective

ASD-DiagNet: A hybrid learning approach for detection of Autism Spectrum Disorder using fMRI data

Rule Based Rewards for Language Model Safety

A Closer Look at Memorization in Deep Networks

Dissimilarity-based Sparse Subset Selection

Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation

Full-Duplex OFDM Radar With LTE and 5G NR Waveforms: Challenges, Solutions, and Measurements

The Linear Representation Hypothesis and the Geometry of Large Language Models

Quantum Circuits for Isometries

Improved matrix algorithms via the Subsampled Randomized Hadamard Transform

Mitigating Label Length Bias in Large Language Models

Modular meta-learning

DM-VIO: Delayed Marginalization Visual-Inertial Odometry

DEX: Digit-Level Early Exit for Energy-Efficient MSDF Neural Network Inference

Quantum computing for energy systems optimization: Challenges and opportunities

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference

Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances

Vision: Data-Centric Anchoring for Robust and Interpretable Agentic AI

Structured Bayesian Pruning via Log-Normal Multiplicative Noise

Towards Context-aware Interaction Recognition

Topological Attribution Distance (TAD): Revealing Segment-Level RAG Influence on LLM Output Geometry for Incident Log Analysis

Winter wheat yield prediction using convolutional neural networks from environmental and phenological data

LatentMD: Benchmarking Markdown Boundary Failures in LLM-Generated Text

TS2-Net: Token Shift and Selection Transformer for Text-Video Retrieval

6-DOF Grasping for Target-driven Object Manipulation in Clutter

Thinking effort aligns between humans and reasoning models in abductive reasoning

ReBridge-Flow: Re-Coupling Posterior Bridges in Flow Matching for Image Restoration

Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture

Machine learning-guided synthesis of advanced inorganic materials

Mitigating Multimodal Hallucination via Phase-wise Self-reward

Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection

PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences

Bi-directional LSTM Recurrent Neural Network for Chinese Word Segmentation

Semantic Uncertainty-Guided Orchestration in Hierarchical Multi-Agent Systems

Algorithmic recourse under imperfect causal knowledge: a probabilistic approach

Shared Predictive Cross-Modal Deep Quantization