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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25,081 to 25,140 of 119,442

Embeddings Are Overpriced? A Frozen 16 MB Vocabulary for Small and Ternary Language Models
Sai Kiran Bathula
cs.CLarXiv:2610.22428v12026
OneLA: Learning Many Worlds from Latent Actions
Ziyu Zhu, Zhaoxu Sun, Fan Jiang +3
cs.CVarXiv:2610.20160v12026
Learning From Mistakes Makes LLM Better Reasoner
Shengnan An, Zexiong Ma, Zeqi Lin +3
cs.CLcs.AIarXiv:2310.20689v42023
DreamHMR: From Video Generation to Human Motion Modeling via Structural Focusing
Zhengjie Xu, Ruihao Gong, Xianglong Liu
cs.CVcs.AIarXiv:2610.20124v12026
Optimizing Diffusion Noise Can Serve As Universal Motion Priors
Korrawe Karunratanakul, Konpat Preechakul, Emre Aksan +3
cs.CVarXiv:2312.11994v22023
The Abella Interactive Theorem Prover (System Description)
Andrew Gacek
cs.LOcs.PLarXiv:0803.2305v22008
OmniPoser: Flexible Human Motion Recovery in the Wild with Masked Flow Matching
Minghao Liu, Tutian Tang
cs.CVarXiv:2610.19857v12026
Rekall: Specifying Video Events using Compositions of Spatiotemporal Labels
Daniel Y. Fu, Will Crichton, James Hong +7
cs.DBcs.CLcs.CVarXiv:1910.02993v12019
ZeroQuant-V2: Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation
Zhewei Yao, Xiaoxia Wu, Cheng Li +2
cs.LGcs.AIcs.CLarXiv:2303.08302v32023
Efficient Online ML API Selection for Multi-Label Classification Tasks
Lingjiao Chen, Matei Zaharia, James Zou
cs.LGcs.AIcs.DSarXiv:2102.09127v22021
ZipLM: Inference-Aware Structured Pruning of Language Models
Eldar Kurtic, Elias Frantar, Dan Alistarh
cs.LGcs.CLarXiv:2302.04089v22023
FrugalML: How to Use ML Prediction APIs More Accurately and Cheaply
Lingjiao Chen, Matei Zaharia, James Zou
cs.LGcs.GTstat.MLarXiv:2006.07512v12020
Impact of News on the Commodity Market: Dataset and Results
Ankur Sinha, Tanmay Khandait
cs.CLarXiv:2009.04202v12020
Towards Efficient Post-training Quantization of Pre-trained Language Models
Haoli Bai, Lu Hou, Lifeng Shang +3
cs.CLarXiv:2109.15082v12021
Learning Hamiltonians from Trajectory Data with Kernel Methods
Jianyu Hu, David Martin de Diego, Juan-Pablo Ortega +1
math.NAcs.NAmath.SGarXiv:2610.17835v12026
Optimal Quantum Sample Complexity of Learning Algorithms
Srinivasan Arunachalam, Ronald de Wolf
quant-phcs.CCcs.LGarXiv:1607.00932v32016
Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance
Shibo Zhou, Xiaohua LI, Ying Chen +2
cs.CVcs.NEeess.IVarXiv:1909.10837v52019
RAP: A Dataset for Paper-to-Poster Generation via Declarative Markup from Human-Crafted Exemplars
Haonan Han, Yukang Lin, Minliang Lin +7
cs.CVarXiv:2610.23230v12026
PIG: Parallel Inconsistency Guidance for Accelerating Diffusion Language Models
Quentin Fruytier, Anton Xue, Sanjay Shakkottai +1
cs.CLarXiv:2610.17375v12026
When is a Network a Network? Multi-Order Graphical Model Selection in Pathways and Temporal Networks
Ingo Scholtes
cs.SIcond-mat.dis-nnphysics.data-anarXiv:1702.05499v22017
A practical guide and software for analysing pairwise comparison experiments
Maria Perez-Ortiz, Rafal K. Mantiuk
stat.APcs.CVcs.GRarXiv:1712.03686v22017
HULK: An Efficient Algorithm for Enabling Fast Bulk Bitwise Operations on Homomorphically Encrypted Data
Mayank Kabra, Phillip Widdowson, Harshita Gupta +9
cs.CRcs.ARcs.DCarXiv:2610.18391v12026
Tremulant: Latency in Serverless Platforms beyond the 99th Percentile
Linus Gustafsson, Trever Schirmer, David Bermbach
cs.DCarXiv:2610.18532v12026
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding
Chenhui Deng, Zhiqiang Zhao, Yongyu Wang +2
cs.LGstat.MLarXiv:1910.02370v22019
ConDenseDrive: Knowledge-Dense, Token-Sparse Visual Encoder for End-to-End Autonomous Driving
Shengzhen Li, Yongkang Li, Hao Gao +5
cs.CVcs.ROarXiv:2610.16908v12026
Variable Input Masked Autoencoders for Wrist-Worn Accelerometry
Harish Haresamudram, Wanting Mao, Aditya Radhakrishnan +2
cs.LGarXiv:2610.17383v12026
ScaleHLS: A New Scalable High-Level Synthesis Framework on Multi-Level Intermediate Representation
Hanchen Ye, Cong Hao, Jianyi Cheng +4
cs.PLcs.ARarXiv:2107.11673v42021
Multi-Scale and Detail-Enhanced Segment Anything Model for Salient Object Detection
Shixuan Gao, Pingping Zhang, Tianyu Yan +1
cs.CVcs.MMarXiv:2408.04326v12024
Exploring Lightweight Interventions at Posting Time to Reduce the Sharing of Misinformation on Social Media
Farnaz Jahanbakhsh, Amy X. Zhang, Adam J. Berinsky +3
cs.HCarXiv:2101.11824v52021
Distributed Observation Scheduling and Sensor Fusion For Large Agile Constellations
Nicholas Niziolek, Ryan Draves, Nolan Ales +4
eess.SYcs.SYarXiv:2610.15949v12026
Segment Where You Look: Attention as the Interface Between Language Models and Segmenters
Eslam Abdelrahman, Hamza Omar Alkaf, Yuheng Li +5
cs.CVarXiv:2610.18729v12026
Coordination Among Neural Modules Through a Shared Global Workspace
Anirudh Goyal, Aniket Didolkar, Alex Lamb +7
cs.LGcs.AIstat.MLarXiv:2103.01197v22021
Transposable regularized covariance models with an application to missing data imputation
Genevera I. Allen, Robert Tibshirani
stat.APstat.MEstat.MLarXiv:0906.3465v42009
Failure Recovery via Belief Updates and World Modeling for Long-Horizon Agents
Xiyang Wu, Zhichao Liu, Shengxin zhang +4
cs.LGarXiv:2610.18082v12026
EasyCom: An Augmented Reality Dataset to Support Algorithms for Easy Communication in Noisy Environments
Jacob Donley, Vladimir Tourbabin, Jung-Suk Lee +6
cs.SDcs.CVcs.LGarXiv:2107.04174v22021
Transformation-Based Models of Video Sequences
Joost van Amersfoort, Anitha Kannan, Marc'Aurelio Ranzato +3
cs.LGcs.CVarXiv:1701.08435v32017
Backyard Cuckoo Hashing: Constant Worst-Case Operations with a Succinct Representation
Yuriy Arbitman, Moni Naor, Gil Segev
cs.DSarXiv:0912.5424v32009
SafeAdapt-Poker: Counterfactual Risk Calibration for Budgeted Adaptation under Opponent Shift
Miaobo Hu, Shuhao Hu, Xiaobo Guo +5
cs.AIcs.GTcs.LGarXiv:2610.20473v12026
Revisiting Simple Baselines for Relational Deep Learning
Viet The Nguyen, Vijay Prakash Dwivedi, Gunther Gust
cs.LGarXiv:2610.20534v12026
Types of Out-of-Distribution Texts and How to Detect Them
Udit Arora, William Huang, He He
cs.CLcs.LGarXiv:2109.06827v22021
Object Scene Representation Transformer
Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran +6
cs.CVcs.AIcs.LGarXiv:2206.06922v22022
Analyzing and Mitigating Poisoning Attacks on Flow-Based Intrusion Detection
Florian Spelter, Johannes F. Loevenich, Tobias Hürten +4
cs.CRcs.LGarXiv:2610.19766v12026
The Random Walk Metropolis: Linking Theory and Practice Through a Case Study
Chris Sherlock, Paul Fearnhead, Gareth O. Roberts
stat.MEarXiv:1011.6217v12010
ActiveEvidence: Decision-Focused Evidence Graphs with Verifiable Acquisition Gaps
Miaobo Hu, Shuhao Hu, Xiaobo Guo +5
cs.AIcs.CVcs.LGarXiv:2610.20532v12026
GBTSVR: Twin Support Vector Regression via Granular Ball Computing
A. Quadir, M. Tanveer
cs.LGarXiv:2610.20053v12026
ScrambleSuit: A Polymorph Network Protocol to Circumvent Censorship
Philipp Winter, Tobias Pulls, Juergen Fuss
cs.CRarXiv:1305.3199v12013
Solving the Robot-World Hand-Eye(s) Calibration Problem with Iterative Methods
Amy Tabb, Khalil M. Ahmad Yousef
cs.ROcs.CVarXiv:1907.12425v12019
ReGRA: Residual-Gradient Adaptation for Complementary Low-Rank Fine-Tuning
Fanyao Li, Yuxi Liu, Xiaohao Liu +3
cs.LGarXiv:2610.19700v12026
Scaling Discovery Requires Forgetting
Shangyin Tan, Ben Zhou, Lakshya A Agrawal +8
cs.AIcs.CLarXiv:2610.20563v12026
Unsupervised Deep Representation Learning for Real-Time Tracking
Ning Wang, Wengang Zhou, Yibing Song +3
cs.CVarXiv:2007.11984v12020
Occupancy Modeling via Drifting: One-Step Generation Enables Direct Policy Extraction
Robin Uhrich, Marco Bagatella, Núria Armengol Urpí +2
cs.LGarXiv:2610.19883v12026
Do be do be do
Sam Lindley, Conor McBride, Craig McLaughlin
cs.PLarXiv:1611.09259v22016
Selective Next-Location Prediction with MetaModelSelect: A Lightweight Post-Hoc Confidence Metamodel
Calvin Jary, Nafiseh Kahani
cs.LGcs.NIarXiv:2610.19394v12026
Self-Supervised Siamese Learning on Stereo Image Pairs for Depth Estimation in Robotic Surgery
Menglong Ye, Edward Johns, Ankur Handa +3
cs.CVcs.ROarXiv:1705.08260v12017
Rationale Distribution Distillation via Flow Matching for Distributional Continuous Latent Reasoning
Mingyeong Kim, Gyusang Cho, Juho Lee +1
cs.CLcs.AIarXiv:2610.19871v12026
Neural Input Search for Large Scale Recommendation Models
Manas R. Joglekar, Cong Li, Jay K. Adams +2
cs.LGcs.IRstat.MLarXiv:1907.04471v12019
Stuck on Shuffle: On Attribute-Object Binding in Vision-Language Models
Netanel Y. Tamir, Michael Green, Issar Tzachor +4
cs.CVarXiv:2610.22602v12026
OfficeTown: Generative Organizations for Evolving Agent Intelligence
Hongchen Wei, Daohong Ying, Zhi Hong +10
cs.AIarXiv:2610.23194v12026
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
Hanxun Huang, Yisen Wang, Sarah Monazam Erfani +3
cs.LGcs.CVstat.MLarXiv:2110.03825v52021
DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance
Longwen Zhang, Qiwei Qiu, Hongyang Lin +7
cs.GRarXiv:2304.03117v12023

Every paper with a summary

Embeddings Are Overpriced? A Frozen 16 MB Vocabulary for Small and Ternary Language Models

OneLA: Learning Many Worlds from Latent Actions

Learning From Mistakes Makes LLM Better Reasoner

DreamHMR: From Video Generation to Human Motion Modeling via Structural Focusing

Optimizing Diffusion Noise Can Serve As Universal Motion Priors

The Abella Interactive Theorem Prover (System Description)

OmniPoser: Flexible Human Motion Recovery in the Wild with Masked Flow Matching

Rekall: Specifying Video Events using Compositions of Spatiotemporal Labels

ZeroQuant-V2: Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation

Efficient Online ML API Selection for Multi-Label Classification Tasks

ZipLM: Inference-Aware Structured Pruning of Language Models

FrugalML: How to Use ML Prediction APIs More Accurately and Cheaply

Impact of News on the Commodity Market: Dataset and Results

Towards Efficient Post-training Quantization of Pre-trained Language Models

Learning Hamiltonians from Trajectory Data with Kernel Methods

Optimal Quantum Sample Complexity of Learning Algorithms

Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance

RAP: A Dataset for Paper-to-Poster Generation via Declarative Markup from Human-Crafted Exemplars

PIG: Parallel Inconsistency Guidance for Accelerating Diffusion Language Models

When is a Network a Network? Multi-Order Graphical Model Selection in Pathways and Temporal Networks

A practical guide and software for analysing pairwise comparison experiments

HULK: An Efficient Algorithm for Enabling Fast Bulk Bitwise Operations on Homomorphically Encrypted Data

Tremulant: Latency in Serverless Platforms beyond the 99th Percentile

GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding

ConDenseDrive: Knowledge-Dense, Token-Sparse Visual Encoder for End-to-End Autonomous Driving

Variable Input Masked Autoencoders for Wrist-Worn Accelerometry

ScaleHLS: A New Scalable High-Level Synthesis Framework on Multi-Level Intermediate Representation

Multi-Scale and Detail-Enhanced Segment Anything Model for Salient Object Detection

Exploring Lightweight Interventions at Posting Time to Reduce the Sharing of Misinformation on Social Media

Distributed Observation Scheduling and Sensor Fusion For Large Agile Constellations

Segment Where You Look: Attention as the Interface Between Language Models and Segmenters

Coordination Among Neural Modules Through a Shared Global Workspace

Transposable regularized covariance models with an application to missing data imputation

Failure Recovery via Belief Updates and World Modeling for Long-Horizon Agents

EasyCom: An Augmented Reality Dataset to Support Algorithms for Easy Communication in Noisy Environments

Transformation-Based Models of Video Sequences

Backyard Cuckoo Hashing: Constant Worst-Case Operations with a Succinct Representation

SafeAdapt-Poker: Counterfactual Risk Calibration for Budgeted Adaptation under Opponent Shift

Revisiting Simple Baselines for Relational Deep Learning

Types of Out-of-Distribution Texts and How to Detect Them

Object Scene Representation Transformer

Analyzing and Mitigating Poisoning Attacks on Flow-Based Intrusion Detection

The Random Walk Metropolis: Linking Theory and Practice Through a Case Study

ActiveEvidence: Decision-Focused Evidence Graphs with Verifiable Acquisition Gaps

GBTSVR: Twin Support Vector Regression via Granular Ball Computing

ScrambleSuit: A Polymorph Network Protocol to Circumvent Censorship

Solving the Robot-World Hand-Eye(s) Calibration Problem with Iterative Methods

ReGRA: Residual-Gradient Adaptation for Complementary Low-Rank Fine-Tuning

Scaling Discovery Requires Forgetting

Unsupervised Deep Representation Learning for Real-Time Tracking

Occupancy Modeling via Drifting: One-Step Generation Enables Direct Policy Extraction

Do be do be do

Selective Next-Location Prediction with MetaModelSelect: A Lightweight Post-Hoc Confidence Metamodel

Self-Supervised Siamese Learning on Stereo Image Pairs for Depth Estimation in Robotic Surgery

Rationale Distribution Distillation via Flow Matching for Distributional Continuous Latent Reasoning

Neural Input Search for Large Scale Recommendation Models

Stuck on Shuffle: On Attribute-Object Binding in Vision-Language Models

OfficeTown: Generative Organizations for Evolving Agent Intelligence

Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks

DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance