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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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49,021 to 49,080 of 61,393
Improved Distribution Matching Distillation for Fast Image Synthesis
Tianwei Yin, Michaël Gharbi, Taesung Park +4
cs.CVarXiv:2405.14867v22024Strictly Causal Streaming Video Anomaly Detection with a Theoretically-Grounded State-Space Core
Yogesh Kumar
cs.AIarXiv:2608.24810v12026Partial Identification under Causal Orders by Linear Programming
Eric Rossetto, Alessandro Antonucci
cs.AIarXiv:2608.24427v12026Unbiased Offline Evaluation of Contextual-bandit-based News Article Recommendation Algorithms
Lihong Li, Wei Chu, John Langford +1
cs.LGcs.AIcs.ROarXiv:1003.5956v22010Paritok-4B: Intent-Conditioned Context Compression for Coding Agents
Jiayu Shi, Luzhuo Chen
cs.AIcs.CLcs.LGarXiv:2608.24188v12026See through Gradients: Image Batch Recovery via GradInversion
Hongxu Yin, Arun Mallya, Arash Vahdat +3
cs.LGcs.CVarXiv:2104.07586v12021EMRB: A Multi-Level Benchmark for Evaluating LLM Reasoning over Raw Electromagnetic Signals
Mingxu Zhang, Ying Sun, Yuhan Li +4
cs.AIcs.CEcs.SEarXiv:2608.24086v12026Detecting Deepfakes with Self-Blended Images
Kaede Shiohara, Toshihiko Yamasaki
cs.CVarXiv:2204.08376v12022Deep Learning in Medical Image Registration: A Review
Yabo Fu, Yang Lei, Tonghe Wang +3
eess.IVcs.CVcs.LGarXiv:1912.12318v12019Diverse by Reasoning: Harnessing the Wisdom of LLM Crowds for Future Prediction
Nirupam Chetlapalli, Yiming Liao, Min-Chun Chen +1
cs.AIarXiv:2608.24001v12026A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis
Samuel Budd, Emma C Robinson, Bernhard Kainz
cs.LGcs.CVcs.HCarXiv:1910.02923v22019Gaussian Process Behaviour in Wide Deep Neural Networks
Alexander G. de G. Matthews, Mark Rowland, Jiri Hron +2
stat.MLcs.LGarXiv:1804.11271v22018Small But Slow World: How Network Topology and Burstiness Slow Down Spreading
M. Karsai, M. Kivelä, R. K. Pan +4
physics.soc-phcs.SInlin.AOarXiv:1006.2125v32010Robust Physical-World Attacks on Deep Learning Models
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes +6
cs.CRcs.LGarXiv:1707.08945v52017Compositional Attention Networks for Machine Reasoning
Drew A. Hudson, Christopher D. Manning
cs.AIarXiv:1803.03067v22018Target Localization Accuracy Gain in MIMO Radar Based Systems
Hana Godrich, Alexander M. Haimovich, Rick S. Blum
cs.ITarXiv:0809.4058v12008DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction
Qiangeng Xu, Weiyue Wang, Duygu Ceylan +2
cs.CVarXiv:1905.10711v52019E2S-Pruner: Progressive Two-Stage Evidence Fusion for Visual Token Pruning in Vision-Language Models
Taoyu Qian, Qi Wang, Daqian Shi +3
cs.CVcs.AIarXiv:2608.23253v12026Every Layer Counts: An Exponential $L_2$ Depth Hierarchy for ReLU Networks
Itay Safran
cs.LGarXiv:2608.23877v12026Large Selective Kernel Network for Remote Sensing Object Detection
Yuxuan Li, Qibin Hou, Zhaohui Zheng +3
cs.CVarXiv:2303.09030v22023Conflict-Averse Gradient Descent for Multi-task Learning
Bo Liu, Xingchao Liu, Xiaojie Jin +2
cs.LGcs.AIarXiv:2110.14048v22021Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption
Stephen Hardy, Wilko Henecka, Hamish Ivey-Law +4
cs.LGarXiv:1711.10677v12017Quantifying System-Level Harms from AI Adoption in Complex Sociotechnical Systems
Paul Vautravers, Oliver Chalkley, Gabriel Downer +2
cs.AIarXiv:2608.23906v12026MIMO Networks: the Effects of Interference
Marco Chiani, Moe Z. Win, Hyundong Shin
cs.ITarXiv:0802.0738v32008Learning Intents behind Interactions with Knowledge Graph for Recommendation
Xiang Wang, Tinglin Huang, Dingxian Wang +4
cs.IRcs.AIarXiv:2102.07057v12021Adversarial Complementary Learning for Weakly Supervised Object Localization
Xiaolin Zhang, Yunchao Wei, Jiashi Feng +2
cs.CVarXiv:1804.06962v12018LRS3-TED: a large-scale dataset for visual speech recognition
Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman
cs.CVarXiv:1809.00496v22018PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning
Yunbo Wang, Zhifeng Gao, Mingsheng Long +2
cs.LGcs.CVstat.MLarXiv:1804.06300v22018AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
Xiao Wang, Meiqi Zhu, Deyu Bo +3
cs.LGcs.SIeess.SParXiv:2007.02265v22020Neural Processes
Marta Garnelo, Jonathan Schwarz, Dan Rosenbaum +4
cs.LGstat.MLarXiv:1807.01622v12018Grad-CAM: Why did you say that?
Ramprasaath R Selvaraju, Abhishek Das, Ramakrishna Vedantam +3
stat.MLcs.CVcs.LGarXiv:1611.07450v22016Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
Aaron Klein, Stefan Falkner, Simon Bartels +2
cs.LGcs.AIstat.MLarXiv:1605.07079v22016One-Shot Visual Imitation Learning via Meta-Learning
Chelsea Finn, Tianhe Yu, Tianhao Zhang +2
cs.LGcs.AIcs.CVarXiv:1709.04905v12017Sentiment Analysis Based on Deep Learning: A Comparative Study
Nhan Cach Dang, María N. Moreno-García, Fernando De la Prieta
cs.CLcs.IRcs.LGarXiv:2006.03541v12020Enhancing Bug Report Templates in the TianoCore UEFI Firmware Development Community
Laura Baird, Neelesh Reddybattula, Nazanin Siavash +2
cs.SEarXiv:2608.23754v12026Quantum Generative Adversarial Networks for Learning and Loading Random Distributions
Christa Zoufal, Aurélien Lucchi, Stefan Woerner
quant-pharXiv:1904.00043v22019AffineTok: Semantic Affine Consistency for Diffusion-Friendly Visual Tokenizer
Junqiu Yu, Pandeng Li, Yikai Wang +11
cs.CVarXiv:2608.23864v12026INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps
Wei Zhan, Liting Sun, Di Wang +8
cs.ROcs.CVcs.LGarXiv:1910.03088v12019Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars
Ana I. Maqueda, Antonio Loquercio, Guillermo Gallego +2
cs.CVcs.LGcs.ROarXiv:1804.01310v12018GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio
Guoguo Chen, Shuzhou Chai, Guanbo Wang +18
cs.SDcs.CLeess.ASarXiv:2106.06909v12021HelaBERT: Enhancing Sinhala Language Understanding with Dual Pooling Classification Head
Thisen Ekanayake, Nisansa de Silva
cs.CLarXiv:2608.22922v12026Open-Vocabulary Object Detection Using Captions
Alireza Zareian, Kevin Dela Rosa, Derek Hao Hu +1
cs.CVcs.AIcs.LGarXiv:2011.10678v22020Think Only When Needed: Prompt-Authority Control for Selective Slow-Path Intervention in Vision-Language-Action Manipulation
Zhiruo Zhou, Zelin Li, Xiwen Chen +4
cs.ROcs.AIcs.CVarXiv:2608.23224v12026Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification
Daniel Borkan, Lucas Dixon, Jeffrey Sorensen +2
cs.LGcs.CLstat.MLarXiv:1903.04561v22019MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action
Zhengyuan Yang, Linjie Li, Jianfeng Wang +7
cs.CVcs.CLcs.LGarXiv:2303.11381v12023Erasing Concepts from Diffusion Models
Rohit Gandikota, Joanna Materzynska, Jaden Fiotto-Kaufman +1
cs.CVarXiv:2303.07345v32023An Empirical Evaluation of Deep Learning on Highway Driving
Brody Huval, Tao Wang, Sameep Tandon +10
cs.ROcs.CVarXiv:1504.01716v32015Toward the first quantum simulation with quantum speedup
Andrew M. Childs, Dmitri Maslov, Yunseong Nam +2
quant-pharXiv:1711.10980v12017The Limits of Automatic Evaluation of Creativity in Large Language Models
Alessandro Tutone, Giorgio Franceschelli, Mirco Musolesi
cs.CLcs.AIcs.CYarXiv:2608.23705v12026DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images
Jie Chen, Ziyang Yuan, Jian Peng +5
cs.CVarXiv:2003.03608v22020COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images
Andreas Veit, Tomas Matera, Lukas Neumann +2
cs.CVarXiv:1601.07140v22016Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
Xue Yang, Junchi Yan, Qi Ming +3
cs.CVcs.AIarXiv:2101.11952v42021Learning Video Object Segmentation from Static Images
Anna Khoreva, Federico Perazzi, Rodrigo Benenson +2
cs.CVarXiv:1612.02646v12016From Causal Plausibility to Causal Reliability: Evaluating LLMs as Calibrated Direct Causal-Edge Classifiers
Amit Kumar, Elnur Adl Zarabi, Suranjana Trivedy +4
cs.LGcs.AIstat.MEarXiv:2608.23660v12026SemanticFusion: Dense 3D Semantic Mapping with Convolutional Neural Networks
John McCormac, Ankur Handa, Andrew Davison +1
cs.CVarXiv:1609.05130v22016A Time Series Forest for Classification and Feature Extraction
Houtao Deng, George Runger, Eugene Tuv +1
cs.LGarXiv:1302.2277v22013Provenance Guided Incremental Learning Under Evolving Concept Definitions
Ismail Lamaakal
cs.AIcs.LGarXiv:2608.23893v12026LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS
Zhiwen Fan, Kevin Wang, Kairun Wen +3
cs.CVarXiv:2311.17245v62023Crystal Structure Prediction via Particle Swarm Optimization
Yanchao Wang, Jian Lv, Li Zhu +1
cond-mat.mtrl-sciarXiv:1008.3601v12010The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
Chris Lu, Cong Lu, Robert Tjarko Lange +3
cs.AIcs.CLcs.LGarXiv:2408.06292v32024Summaries:한국어