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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58,441 to 58,500 of 61,247

Pre-Compiled Pipeline Shards for Distributed LLM Inference on Intel AI PC Fleets
Tate Berenbaum, Muthaiah Venkatachalam
cs.DCcs.AIcs.SEarXiv:2608.19147v12026
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao
cs.CVarXiv:2402.13616v22024
The Seventh Data Release of the Sloan Digital Sky Survey
K. Abazajian
astro-pharXiv:0812.0649v22008
Leaf Values as Coordinates: Exact Contrastive Explanation for Gradient-Boosted Ensembles
Emanuele Luzio
cs.LGcs.AIcs.CYarXiv:2608.19127v12026
Intercepting the Kangaroo: Experimental Astrolinguistics with Constructed Lexicons, Active Probing, and Large Language Models as Informants and Hypothesis Proposers
Francesco Cordella, Mauro Cappelli
cs.CLcs.AIarXiv:2608.19124v12026
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
Limin Wang, Yuanjun Xiong, Zhe Wang +4
cs.CVarXiv:1608.00859v12016
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall, Yarin Gal, Roberto Cipolla
cs.CVarXiv:1705.07115v32017
Improved Regularization of Convolutional Neural Networks with Cutout
Terrance DeVries, Graham W. Taylor
cs.CVarXiv:1708.04552v22017
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla +22
cs.CVcs.LGstat.MLarXiv:1912.04838v72019
Neural Architectures for Named Entity Recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian +2
cs.CLarXiv:1603.01360v32016
Discretizing Continuous Time Series for Imputation with Masked Diffusion Training
Dongbin Kim, Seungyun Lee, Geonwoo Shin +1
cs.LGcs.AIarXiv:2608.19119v12026
Generating Sequences With Recurrent Neural Networks
Alex Graves
cs.NEcs.CLarXiv:1308.0850v52013
Learning to Prompt for Vision-Language Models
Kaiyang Zhou, Jingkang Yang, Chen Change Loy +1
cs.CVcs.AIcs.LGarXiv:2109.01134v62021
SlowFast Networks for Video Recognition
Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik +1
cs.CVarXiv:1812.03982v32018
Open-MOPD: Diagnosing and Fixing Capability Imbalance in Multi-Teacher On-Policy Distillation
Huan-ang Gao, Haohan Chi, Yong Yan +7
cs.LGcs.AIcs.CLarXiv:2608.19098v12026
Hyperledger Fabric: A Distributed Operating System for Permissioned Blockchains
Elli Androulaki, Artem Barger, Vita Bortnikov +18
cs.DCcs.CRarXiv:1801.10228v22018
Detecting Backdoors in Object Detection via Pre-NMS Prediction Distribution Shift
Longtian Wang, Zhengyu Zhao, Chenhao Lin +5
cs.CVcs.AIarXiv:2608.19088v12026
RandAugment: Practical automated data augmentation with a reduced search space
Ekin D. Cubuk, Barret Zoph, Jonathon Shlens +1
cs.CVarXiv:1909.13719v22019
DA-WAM: Decision-Aligned Future Latents for Driving World Models
Ruiguo Zhong, Benshan Ma, Xiaolong Chen +5
cs.ROcs.AIarXiv:2608.19085v12026
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh, Seunghoon Hong, Bohyung Han
cs.CVarXiv:1505.04366v12015
GS-VLA: Plug-and-Play Viewpoint Canonicalization for Frozen VLA Policies via Gaussian Splatting
Yechan Park, HyunJin Kim
cs.CVcs.AIarXiv:2608.19066v12026
Counterfactual Contrastive Analysis
Yunlong He, Pietro Gori
cs.CVcs.AIarXiv:2608.19032v12026
One-Stage Object Detectors in Autonomous Driving
Jonel Roman, Ryan Sirjue, Peter Nguyen +3
cs.CVcs.AIarXiv:2608.19014v12026
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stephane Ross, Geoffrey J. Gordon, J. Andrew Bagnell
cs.LGcs.AIstat.MLarXiv:1011.0686v32010
Harness Continual Learning: Continual Adaptation Beyond Model Parameters
Borui Kang, Jinrui Gu, Junhan Lv +3
cs.LGcs.AIarXiv:2608.19013v12026
GrabVG: Graph-Attentive Binding for Visual Grounding in UAV Imagery
Chaowei Wang, Yan Di, Jingjun Sun +5
cs.CVcs.AIarXiv:2608.18996v12026
Pointer Sentinel Mixture Models
Stephen Merity, Caiming Xiong, James Bradbury +1
cs.CLcs.AIarXiv:1609.07843v12016
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Yash Goyal, Tejas Khot, Douglas Summers-Stay +2
cs.CVcs.AIcs.CLarXiv:1612.00837v32016
rEDMRec: Distilling Large Language Model Reasoning into an Editable Experience Memory for Recommendation
Minh Hoang Nguyen, Tung Le, Huy Tien Nguyen
cs.IRcs.AIcs.CLarXiv:2608.18952v12026
The Curious Case of Neural Text Degeneration
Ari Holtzman, Jan Buys, Li Du +2
cs.CLarXiv:1904.09751v22019
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu +3
cs.CVcs.GRcs.LGarXiv:1711.11585v22017
Taming Transformers for High-Resolution Image Synthesis
Patrick Esser, Robin Rombach, Björn Ommer
cs.CVarXiv:2012.09841v32020
Markerless tracking of user-defined features with deep learning
Alexander Mathis, Pranav Mamidanna, Taiga Abe +4
cs.CVq-bio.NCq-bio.QMarXiv:1804.03142v12018
Bidirectional LSTM-CRF Models for Sequence Tagging
Zhiheng Huang, Wei Xu, Kai Yu
cs.CLarXiv:1508.01991v12015
Epistemic Subordination: Generative AI and the Infrastructure of Knowledge
Gilad Abiri, Emanuel V. Towfigh
cs.CYcs.AIarXiv:2608.18758v12026
Fourier Neural Operator for Parametric Partial Differential Equations
Zongyi Li, Nikola Kovachki, Kamyar Azizzadenesheli +4
cs.LGmath.NAarXiv:2010.08895v32020
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Shunyu Yao, Dian Yu, Jeffrey Zhao +4
cs.CLcs.AIcs.LGarXiv:2305.10601v22023
Lost in the Middle: How Language Models Use Long Contexts
Nelson F. Liu, Kevin Lin, John Hewitt +4
cs.CLarXiv:2307.03172v32023
A Critical Synthesis of Uncertainty Quantification and Foundation Models for Semantic Segmentation
Steven Landgraf, Joceline Hinz, Markus Ulrich
cs.CVcs.AIcs.LGarXiv:2608.18709v12026
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Zihang Dai, Zhilin Yang, Yiming Yang +3
cs.LGcs.CLstat.MLarXiv:1901.02860v32019
MedUAG: Unified Understanding and Generation for Medical Multimodal Models
Zijie Meng, Yuncheng Zhang, Hualiang Wang +8
cs.CLcs.AIarXiv:2608.18937v12026
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani +3
cs.CVcs.GRcs.LGarXiv:2208.12242v22022
Graphical Design of Interpretable Architectures
Pietro Barbiero
cs.LGcs.AIcs.NEarXiv:2608.18936v12026
Get To The Point: Summarization with Pointer-Generator Networks
Abigail See, Peter J. Liu, Christopher D. Manning
cs.CLarXiv:1704.04368v22017
Knowledge Distillation: A Survey
Jianping Gou, Baosheng Yu, Stephen John Maybank +1
cs.LGstat.MLarXiv:2006.05525v72020
SMTrap: Cost-Effective DoS Attacks Against Large Reasoning Models via SMT Conflict Guidance
Jian Yang, Zhenqi Feng, Zhaoyang Yu +7
cs.CLcs.AIarXiv:2608.18921v12026
Group Normalization
Yuxin Wu, Kaiming He
cs.CVcs.LGarXiv:1803.08494v32018
Learning-State-Aware Dynamic Generative Data Augmentation on Small-Scale Datasets
Ting Xiang, Chenxi Deng, Jinhui Zhao +4
cs.CVcs.AIarXiv:2608.18907v12026
Dueling Network Architectures for Deep Reinforcement Learning
Ziyu Wang, Tom Schaul, Matteo Hessel +3
cs.LGarXiv:1511.06581v32015
Density estimation using Real NVP
Laurent Dinh, Jascha Sohl-Dickstein, Samy Bengio
cs.LGcs.AIcs.NEarXiv:1605.08803v32016
Identifying Implicit Premises for Logical Reconstruction of Argument Graphs
Xuyao Feng, Anthony Hunter
cs.CLcs.AIarXiv:2608.18821v12026
Do Large Language Models Hallucinate Electric Fata Morganas?
Kristina Šekrst
cs.CLcs.AIarXiv:2608.18816v12026
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks, Kevin Gimpel
cs.NEcs.CVcs.LGarXiv:1610.02136v32016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen, Yan Duan, Rein Houthooft +3
cs.LGstat.MLarXiv:1606.03657v12016
Forgetting, plasticity, and co-observation: a third facet of continual learning
Timm Hess, Abhishek Jha, Gido M. van de Ven +1
cs.LGcs.AIarXiv:2608.18803v12026
The Mythos of Model Interpretability
Zachary C. Lipton
cs.LGcs.AIcs.CVarXiv:1606.03490v32016
Decomposing Wrong-Consensus Agreement in LLM Self-Consistency: A GPT-4.1 Case Study
Lizhuo Zhang, Mengmeng Tang, Chenfeng Long +2
cs.CLcs.AIarXiv:2608.18795v12026
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
Jiasen Lu, Dhruv Batra, Devi Parikh +1
cs.CVcs.CLarXiv:1908.02265v12019
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces
Vernon J. Lawhern, Amelia J. Solon, Nicholas R. Waytowich +3
cs.LGq-bio.NCstat.MLarXiv:1611.08024v42016
Beyond Predictive Fairness: Quantifying Attribution Consistency Across Demographic Groups in Diabetic Retinopathy Screening
Kerol Djoumessi, Philipp Berens
cs.LGcs.AIarXiv:2608.18759v12026

Every paper with a summary

Pre-Compiled Pipeline Shards for Distributed LLM Inference on Intel AI PC Fleets

YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

The Seventh Data Release of the Sloan Digital Sky Survey

Leaf Values as Coordinates: Exact Contrastive Explanation for Gradient-Boosted Ensembles

Intercepting the Kangaroo: Experimental Astrolinguistics with Constructed Lexicons, Active Probing, and Large Language Models as Informants and Hypothesis Proposers

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics

Improved Regularization of Convolutional Neural Networks with Cutout

Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Neural Architectures for Named Entity Recognition

Discretizing Continuous Time Series for Imputation with Masked Diffusion Training

Generating Sequences With Recurrent Neural Networks

Learning to Prompt for Vision-Language Models

SlowFast Networks for Video Recognition

Open-MOPD: Diagnosing and Fixing Capability Imbalance in Multi-Teacher On-Policy Distillation

Hyperledger Fabric: A Distributed Operating System for Permissioned Blockchains

Detecting Backdoors in Object Detection via Pre-NMS Prediction Distribution Shift

RandAugment: Practical automated data augmentation with a reduced search space

DA-WAM: Decision-Aligned Future Latents for Driving World Models

Learning Deconvolution Network for Semantic Segmentation

GS-VLA: Plug-and-Play Viewpoint Canonicalization for Frozen VLA Policies via Gaussian Splatting

Counterfactual Contrastive Analysis

One-Stage Object Detectors in Autonomous Driving

A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning

Harness Continual Learning: Continual Adaptation Beyond Model Parameters

GrabVG: Graph-Attentive Binding for Visual Grounding in UAV Imagery

Pointer Sentinel Mixture Models

Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering

rEDMRec: Distilling Large Language Model Reasoning into an Editable Experience Memory for Recommendation

The Curious Case of Neural Text Degeneration

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

Taming Transformers for High-Resolution Image Synthesis

Markerless tracking of user-defined features with deep learning

Bidirectional LSTM-CRF Models for Sequence Tagging

Epistemic Subordination: Generative AI and the Infrastructure of Knowledge

Fourier Neural Operator for Parametric Partial Differential Equations

Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Lost in the Middle: How Language Models Use Long Contexts

A Critical Synthesis of Uncertainty Quantification and Foundation Models for Semantic Segmentation

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

MedUAG: Unified Understanding and Generation for Medical Multimodal Models

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Graphical Design of Interpretable Architectures

Get To The Point: Summarization with Pointer-Generator Networks

Knowledge Distillation: A Survey

SMTrap: Cost-Effective DoS Attacks Against Large Reasoning Models via SMT Conflict Guidance

Group Normalization

Learning-State-Aware Dynamic Generative Data Augmentation on Small-Scale Datasets

Dueling Network Architectures for Deep Reinforcement Learning

Density estimation using Real NVP

Identifying Implicit Premises for Logical Reconstruction of Argument Graphs

Do Large Language Models Hallucinate Electric Fata Morganas?

A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

Forgetting, plasticity, and co-observation: a third facet of continual learning

The Mythos of Model Interpretability

Decomposing Wrong-Consensus Agreement in LLM Self-Consistency: A GPT-4.1 Case Study

ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces

Beyond Predictive Fairness: Quantifying Attribution Consistency Across Demographic Groups in Diabetic Retinopathy Screening