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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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32,161 to 32,220 of 61,393
Few-Shot Adaptive Gaze Estimation
Seonwook Park, Shalini De Mello, Pavlo Molchanov +3
cs.CVarXiv:1905.01941v22019A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
Marc Finzi, Max Welling, Andrew Gordon Wilson
cs.LGmath.DSstat.MLarXiv:2104.09459v12021Mind the Gap: Theory-of-Mind-Grounded Friction for Epistemic Alignment
Yifan Zhu, Kyeongmin Rim, James Pustejovsky
cs.CLarXiv:2608.30719v12026Numerical Coordinate Regression with Convolutional Neural Networks
Aiden Nibali, Zhen He, Stuart Morgan +1
cs.CVarXiv:1801.07372v22018No bad local minima: Data independent training error guarantees for multilayer neural networks
Daniel Soudry, Yair Carmon
stat.MLcs.LGcs.NEarXiv:1605.08361v22016SocialReasonBench: A Video-QA Benchmark for Social Reasoning with Counterfactual Narrative Videos
Zheyu Huang, Zijing Shi, Haozhe Luo +4
cs.CLcs.CVarXiv:2608.30716v12026Neurotoxin: Durable Backdoors in Federated Learning
Zhengming Zhang, Ashwinee Panda, Linyue Song +5
cs.CRcs.AIcs.LGarXiv:2206.10341v12022$β$-Variational autoencoders and transformers for reduced-order modelling of fluid flows
Alberto Solera-Rico, Carlos Sanmiguel Vila, M. A. Gómez +4
physics.flu-dyncs.LGarXiv:2304.03571v22023RAM: A Region-Aware Deep Model for Vehicle Re-Identification
Xiaobin Liu, Shiliang Zhang, Qingming Huang +1
cs.CVarXiv:1806.09283v12018A Survey on Deep Learning for Software Engineering
Yanming Yang, Xin Xia, David Lo +1
cs.SEarXiv:2011.14597v12020Vehicular Communications: A Physical Layer Perspective
Le Liang, Haixia Peng, Geoffrey Ye Li +1
cs.ITarXiv:1704.05746v32017Hamiltonian Learning and Certification Using Quantum Resources
Nathan Wiebe, Christopher Granade, Christopher Ferrie +1
quant-pharXiv:1309.0876v12013Solving Many-Electron Schrödinger Equation Using Deep Neural Networks
Jiequn Han, Linfeng Zhang, Weinan E
physics.comp-phphysics.chem-pharXiv:1807.07014v32018EditGAN: High-Precision Semantic Image Editing
Huan Ling, Karsten Kreis, Daiqing Li +3
cs.CVcs.AIarXiv:2111.03186v12021Active Deep Learning for Classification of Hyperspectral Images
Peng Liu, Hui Zhang, Kie B. Eom
cs.LGcs.CVstat.MLarXiv:1611.10031v12016FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis
Rongjie Huang, Max W. Y. Lam, Jun Wang +4
eess.AScs.LGcs.SDarXiv:2204.09934v12022Iterative Views Agreement: An Iterative Low-Rank based Structured Optimization Method to Multi-View Spectral Clustering
Yang Wang, Wenjie Zhang, Lin Wu +3
cs.LGstat.MLarXiv:1608.05560v12016Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality
Daniel Watson, William Chan, Jonathan Ho +1
cs.LGarXiv:2202.05830v12022The Role of Caching in Future Communication Systems and Networks
Georgios S. Paschos, George Iosifidis, Meixia Tao +2
cs.NIarXiv:1805.11721v12018On the Impact of Phase Shifting Designs on IRS-NOMA
Zhiguo Ding, Robert Schober, H. Vincent Poor
cs.ITarXiv:2001.10909v12020Knowledge Graph Embedding with Iterative Guidance from Soft Rules
Shu Guo, Quan Wang, Lihong Wang +2
cs.AIarXiv:1711.11231v12017Self-training with progressive augmentation for unsupervised cross-domain person re-identification
Xinyu Zhang, Jiewei Cao, Chunhua Shen +1
cs.CVarXiv:1907.13315v12019Perspectives on Large Language Models for Relevance Judgment
Guglielmo Faggioli, Laura Dietz, Charles Clarke +8
cs.IRcs.CYarXiv:2304.09161v22023Using Pre-Trained Models to Boost Code Review Automation
Rosalia Tufano, Simone Masiero, Antonio Mastropaolo +3
cs.SEarXiv:2201.06850v12022Calibrating Small Language Models for Claim Check-Worthiness Detection
Pratuat Amatya, Venktesh Viswanathan, Vinay Setty
cs.CLcs.AIarXiv:2608.30731v12026PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models -- Federated Learning in Age of Foundation Model
Tao Guo, Song Guo, Junxiao Wang +1
cs.LGarXiv:2208.11625v12022SemEval-2020 Task 8: Memotion Analysis -- The Visuo-Lingual Metaphor!
Chhavi Sharma, Deepesh Bhageria, William Scott +5
cs.CVarXiv:2008.03781v12020Attention-based Ensemble for Deep Metric Learning
Wonsik Kim, Bhavya Goyal, Kunal Chawla +2
cs.CVarXiv:1804.00382v22018MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion
Shitao Tang, Fuyang Zhang, Jiacheng Chen +2
cs.CVarXiv:2307.01097v72023TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark
Shangbin Feng, Herun Wan, Ningnan Wang +2
cs.SIarXiv:2106.13088v42021ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming
Yuan Yuan, Wolfgang Banzhaf
cs.SEarXiv:1712.07804v12017GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversation
Zheng Lian, Lan Chen, Licai Sun +2
cs.LGcs.CLarXiv:2203.02177v22022Deep Equilibrium Architectures for Inverse Problems in Imaging
Davis Gilton, Gregory Ongie, Rebecca Willett
eess.IVcs.CVarXiv:2102.07944v22021Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning
Zheda Mai, Ruiwen Li, Hyunwoo Kim +1
cs.LGcs.AIcs.CVarXiv:2103.13885v32021Self-Supervised Models are Continual Learners
Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda +3
cs.CVcs.LGarXiv:2112.04215v22021Event-Based Fusion for Motion Deblurring with Cross-modal Attention
Lei Sun, Christos Sakaridis, Jingyun Liang +6
cs.CVarXiv:2112.00167v32021GUIDE: Guiding Internal Evidence with Language Instructions
Soyeon Caren Han, Hyunsuk Chung, Jinwoo Kim +2
cs.CLarXiv:2608.30712v12026Learning Near Optimal Policies with Low Inherent Bellman Error
Andrea Zanette, Alessandro Lazaric, Mykel Kochenderfer +1
cs.LGcs.AIarXiv:2003.00153v32020MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Video
Qunliang Xing, Zhenyu Guan, Mai Xu +3
cs.CVcs.MMarXiv:1902.09707v62019GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification
Jie Zhou, Xu Han, Cheng Yang +4
cs.CLcs.AIcs.LGarXiv:1908.01843v12019A Survey on Incomplete Multi-view Clustering
Jie Wen, Zheng Zhang, Lunke Fei +4
cs.LGcs.MMarXiv:2208.08040v12022WildSEEK: Evaluating Language Models for Information-Seeking
Tanise Ceron, Joachim Baumann, Elisa Bassignana +3
cs.CLcs.CYarXiv:2608.30683v12026Graph-based compression of dynamic 3D point cloud sequences
Dorina Thanou, Philip A. Chou, Pascal Frossard
cs.CVcs.GRarXiv:1506.06096v12015An Agentic Retrobiosynthesis Framework with Learned Frontier Selection
Philippe Meyer, Guillaume Gricourt, Thomas Duigou +2
cs.CLcs.AIcs.LGarXiv:2608.30702v12026Approximation and inference methods for stochastic biochemical kinetics - a tutorial review
David Schnoerr, Guido Sanguinetti, Ramon Grima
q-bio.QMcond-mat.stat-mechphysics.bio-pharXiv:1608.06582v22016LCoT-GV: Graph Attention Networks for Verifying Long Reasoning Chains in Large Language Models
Bérénice Jaulmes, Mehwish Alam
cs.CLcs.AIarXiv:2608.30679v12026Large Language Model-Based Agents for Software Engineering: A Survey
Junwei Liu, Kaixin Wang, Yixuan Chen +4
cs.SEcs.AIarXiv:2409.02977v22024How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis
Maria J. M. Chuquicusma, Sarfaraz Hussein, Jeremy Burt +1
cs.CVcs.AIcs.LGarXiv:1710.09762v22017OCR-MetaReasoning Benchmark: Evaluating the Meta-Reasoning Ability of MLLMs in Text-Rich Image Understanding
Gengxu Li, Yuan Wu, Yi Chang
cs.CLarXiv:2608.30678v12026Anderson localization casts clouds over adiabatic quantum optimization
Boris Altshuler, Hari Krovi, Jeremie Roland
quant-phcond-mat.mes-hallcs.CCarXiv:0912.0746v12009Equivalence of restricted Boltzmann machines and tensor network states
Jing Chen, Song Cheng, Haidong Xie +2
cond-mat.str-elquant-phstat.MLarXiv:1701.04831v22017Type-Constrained Representation Learning in Knowledge Graphs
Denis Krompaß, Stephan Baier, Volker Tresp
cs.AIcs.LGarXiv:1508.02593v22015NeVAE: A Deep Generative Model for Molecular Graphs
Bidisha Samanta, Abir De, Gourhari Jana +3
cs.LGphysics.soc-phstat.MLarXiv:1802.05283v42018MURANO: Design, Run, and Reproduce Mechanistic Interpretability Experiments as Composable Pipelines
Alireza Bayat Makou, Emirhan Böge, Phu Gia Hoang +5
cs.CLarXiv:2608.30662v12026Trends in Workplace Wearable Technologies and Connected-Worker Solutions for Next-Generation Occupational Safety, Health, and Productivity
Vishal Patel, Austin Chesmore, Christopher M. Legner +1
eess.SYeess.SParXiv:2205.11740v12022Extreme Compression of Large Language Models via Additive Quantization
Vage Egiazarian, Andrei Panferov, Denis Kuznedelev +3
cs.LGcs.CLarXiv:2401.06118v42024Languages cool as they expand: Allometric scaling and the decreasing need for new words
Alexander M. Petersen, Joel N. Tenenbaum, Shlomo Havlin +2
physics.soc-phcond-mat.stat-mechcs.CLarXiv:1212.2616v12012SwarmBench: Can Large Language Models Act as Agent Swarm Orchestrators?
Jinshan Gao, Zhuoran Jin, Tianyi Men +2
cs.CLarXiv:2608.30661v12026Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control
Zhongyu Li, Xue Bin Peng, Pieter Abbeel +3
cs.ROcs.AIeess.SYarXiv:2401.16889v22024Shape-IoU: More Accurate Metric considering Bounding Box Shape and Scale
Hao Zhang, Shuaijie Zhang
cs.CVarXiv:2312.17663v22023