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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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33,901 to 33,960 of 61,393
Towards Conceptual Compression
Karol Gregor, Frederic Besse, Danilo Jimenez Rezende +2
stat.MLcs.CVcs.LGarXiv:1604.08772v12016Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth
Davy Neven, Bert De Brabandere, Marc Proesmans +1
cs.CVarXiv:1906.11109v22019Fast global convergence of gradient methods for high-dimensional statistical recovery
Alekh Agarwal, Sahand N. Negahban, Martin J. Wainwright
stat.MLcs.ITarXiv:1104.4824v32011Fast Reconstruction of Compact Context-Specific Metabolic Network Models
Nikos Vlassis, Maria Pires Pacheco, Thomas Sauter
q-bio.MNcs.CEmath.OCarXiv:1304.7992v32013Enhanced Invertible Encoding for Learned Image Compression
Yueqi Xie, Ka Leong Cheng, Qifeng Chen
eess.IVcs.CVarXiv:2108.03690v12021Stationary Graph Processes and Spectral Estimation
Antonio G. Marques, Santiago Segarra, Geert Leus +1
eess.SYcs.ITarXiv:1603.04667v22016Energy-Efficient Power Control: A Look at 5G Wireless Technologies
Alessio Zappone, Luca Sanguinetti, Giacomo Bacci +2
cs.ITmath.OCarXiv:1503.04609v22015Bringing Old Photos Back to Life
Ziyu Wan, Bo Zhang, Dongdong Chen +4
cs.CVcs.GReess.IVarXiv:2004.09484v12020Downlink Interference Alignment
Changho Suh, Minnie Ho, David Tse
cs.ITarXiv:1003.3707v22010VAIN: Attentional Multi-agent Predictive Modeling
Yedid Hoshen
cs.LGcs.AIarXiv:1706.06122v22017Quantum Federated Learning Based on Bures--Uhlmann Geometry for Heterogeneous Noisy Clients
Haruki Emori, Masaki Uchihara, Yuuki Tokunaga
quant-phcs.LGarXiv:2608.28379v12026Detecting change points in the large-scale structure of evolving networks
Leto Peel, Aaron Clauset
cs.SIphysics.soc-phstat.MLarXiv:1403.0989v22014NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha
cs.NEcs.AIcs.CVarXiv:1711.02017v32017Localizing Global Discrepancies: Marginal Contributions and Contextual Anomaly Detection
Tommaso dorigo
stat.MLcs.LGphysics.data-anarXiv:2608.28375v12026Spherical Transformer for LiDAR-based 3D Recognition
Xin Lai, Yukang Chen, Fanbin Lu +2
cs.CVcs.AIarXiv:2303.12766v12023Performance and Construction of Polar Codes on Symmetric Binary-Input Memoryless Channels
Ryuhei Mori, Toshiyuki Tanaka
cs.ITarXiv:0901.2207v22009How Bad is Forming Your Own Opinion?
David Bindel, Jon Kleinberg, Sigal Oren
cs.GTphysics.soc-pharXiv:1203.2973v12012One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
Ari S. Morcos, Haonan Yu, Michela Paganini +1
stat.MLcs.LGcs.NEarXiv:1906.02773v22019Accelerated S-NFC for Million-Chaff RCS Computation Using Low-Rank Compression of Concatenated Block Rows
Dong-Yeop Na, Somyeong Lee, Chung Hyun Lee
physics.comp-phcs.ITarXiv:2608.27936v12026SNANA: A Public Software Package for Supernova Analysis
Richard Kessler, Joseph P. Bernstein, David Cinabro +8
astro-ph.COastro-ph.IMarXiv:0908.4280v12009Learning Robust Representations by Projecting Superficial Statistics Out
Haohan Wang, Zexue He, Zachary C. Lipton +1
cs.CVcs.LGarXiv:1903.06256v12019AI Hardware Accelerators for Large Language Models: Architectures and the Memory Wall
Siddharth Patel, Rohit Singh
cs.ARcs.DCarXiv:2608.28048v12026LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM
Daniele Cattaneo, Matteo Vaghi, Abhinav Valada
cs.ROcs.CVcs.LGarXiv:2103.05056v42021TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning
Youngeun Kwon, Yunjae Lee, Minsoo Rhu
cs.LGcs.ARcs.DCarXiv:1908.03072v22019HyperTree Proof Search for Neural Theorem Proving
Guillaume Lample, Marie-Anne Lachaux, Thibaut Lavril +5
cs.CLcs.AIarXiv:2205.11491v12022BQP and the Polynomial Hierarchy
Scott Aaronson
quant-phcs.CCarXiv:0910.4698v12009A Controlled Audit of Architectural Complexity in Uncertainty-Aware Multi-Organ Ultrasound Classification
Yang Song, Pengbo Sun, Shichang Feng +3
cs.CVarXiv:2608.28063v12026Boundary-preserving Mask R-CNN
Tianheng Cheng, Xinggang Wang, Lichao Huang +1
cs.CVarXiv:2007.08921v12020Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge
Ryota Hinami, Tao Mei, Shin'ichi Satoh
cs.CVarXiv:1709.09121v12017AutoDRI: Bridging the Semantic Gap for Automated Design Rule Integration in CP-SAT-Based Cell Synthesis under Multi-Patterning
Yuhao Ren, Yucheng Wang, Zihao Chen +2
eess.SYarXiv:2608.27891v12026Fixed-point quantum search with an optimal number of queries
Theodore J. Yoder, Guang Hao Low, Isaac L. Chuang
quant-pharXiv:1409.3305v22014Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting
Vladimir Yugay, Yue Li, Theo Gevers +1
cs.CVcs.ROarXiv:2312.10070v22023The Number of Eigenvalues of a Tensor
Dustin Cartwright, Bernd Sturmfels
math.NAmath.AGarXiv:1004.4953v22010CAVE-NAV: VLM-Based Autonomous 3D Navigation in Underwater Cave Environments
Zhenqi Wu, Yuanjie Lu, Yisheng Zhang +4
cs.ROarXiv:2608.27793v12026Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and Localization
Komal Chugh, Parul Gupta, Abhinav Dhall +1
cs.CVcs.MMarXiv:2005.14405v32020PillarNet: Real-Time and High-Performance Pillar-based 3D Object Detection
Guangsheng Shi, Ruifeng Li, Chao Ma
cs.CVarXiv:2205.07403v520223D-USE: From Image-Level to Scene-Level Underwater Enhancement
Jieyu Yuan, Yuanlin Zhang, Jihong Li +3
cs.CVarXiv:2608.28020v12026CycleMLP: A MLP-like Architecture for Dense Prediction
Shoufa Chen, Enze Xie, Chongjian Ge +3
cs.CVarXiv:2107.10224v42021Practical and Private (Deep) Learning without Sampling or Shuffling
Peter Kairouz, Brendan McMahan, Shuang Song +3
cs.CRcs.LGarXiv:2103.00039v32021DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation
Markus Oberweger, Vincent Lepetit
cs.CVarXiv:1708.08325v12017Token-Budget Distillation: Transferring Full-Token Semantics to Compressed Video Vision-Language Models
Xiaoyang Guo, Guoping Luo, Jusheng Zhang +2
cs.CVarXiv:2608.28138v12026Identity-Aware Textual-Visual Matching with Latent Co-attention
Shuang Li, Tong Xiao, Hongsheng Li +2
cs.CVarXiv:1708.01988v12017Curvature-Conditioned Multiscale Momentum with Sphere Constraints for LLM Pretraining
Shuchen Zhu, Yuxin Fang, Mingze Wang +1
cs.LGarXiv:2608.28442v12026Network Geometry
Marian Boguna, Ivan Bonamassa, Manlio De Domenico +3
physics.soc-phcond-mat.dis-nncs.SIarXiv:2001.03241v22020Throughput Maximization in Wireless Powered Communication Networks
Hyunsgsik Ju, Rui Zhang
cs.ITarXiv:1304.7886v42013Exact Common Information and Exact Channel Synthesis for Correlated Gaussian Sources
Lei Yu
cs.ITarXiv:2608.26012v12026Estimation in Gaussian Noise: Properties of the Minimum Mean-Square Error
Dongning Guo, Yihong Wu, Shlomo Shamai +1
cs.ITarXiv:1004.3332v12010Source Polarization
Erdal Arikan
cs.ITarXiv:1001.3087v22010CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection
Chenchen Zhu, Yutong Zheng, Khoa Luu +1
cs.CVarXiv:1606.05413v12016Graph Spectral Image Processing
Gene Cheung, Enrico Magli, Yuichi Tanaka +1
eess.IVeess.SParXiv:1801.04749v22018A Robust Approach to Chance Constrained Optimal Power Flow with Renewable Generation
Miles Lubin, Yury Dvorkin, Scott Backhaus
math.OCarXiv:1504.06011v32015Robust Linear Regression: A Review and Comparison
Chun Yu, Weixin Yao, Xue Bai
stat.MEarXiv:1404.6274v12014Adversarial Training Can Hurt Generalization
Aditi Raghunathan, Sang Michael Xie, Fanny Yang +2
cs.LGstat.MLarXiv:1906.06032v22019Searching for collective behavior in a network of real neurons
Gašper Tkačik, Olivier Marre, Dario Amodei +3
q-bio.NCcond-mat.stat-mechphysics.bio-pharXiv:1306.3061v12013Multiview Hessian Regularization for Image Annotation
Weifeng Liu, Dacheng Tao
cs.LGcs.CVstat.MLarXiv:1904.10100v12019DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising
Zhizhong Huang, Junping Zhang, Yi Zhang +1
eess.IVcs.CVphysics.med-pharXiv:2108.10772v22021Application of Quantum Annealing to Training of Deep Neural Networks
Steven H. Adachi, Maxwell P. Henderson
quant-phcs.LGstat.MLarXiv:1510.06356v12015Low-resource Languages: A Review of Past Work and Future Challenges
Alexandre Magueresse, Vincent Carles, Evan Heetderks
cs.CLarXiv:2006.07264v12020Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book
Stephen MacNeil, Andrew Tran, Arto Hellas +5
cs.SEcs.HCarXiv:2211.02265v12022Massive MIMO with 1-bit ADC
Chiara Risi, Daniel Persson, Erik G. Larsson
cs.ITarXiv:1404.7736v12014