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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62,101 to 62,160 of 104,526

What Can Artificial Intelligence Learn from Medicine? Generative Analogies and Reliable Machine Learning Systems
Emanuele Ratti, Lena Zuchowski
cs.LGcs.AIcs.CYarXiv:2608.18186v12026
Gradient Descent Can Take Exponential Time to Escape Saddle Points
Simon S. Du, Chi Jin, Jason D. Lee +3
math.OCcs.LGstat.MLarXiv:1705.10412v22017
STAGE: Subspace-Targeted Affine Generative Erasure for Text-to-3D Models
Karol Dziekan, Przemysław Spurek, Dawid Malarz
cs.CVarXiv:2610.01302v12026
Solving high-dimensional Hamilton-Jacobi-Bellman PDEs using neural networks: perspectives from the theory of controlled diffusions and measures on path space
Nikolas Nüsken, Lorenz Richter
math.OCcs.LGmath.NAarXiv:2005.05409v22020
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency
Robert Geirhos, Kristof Meding, Felix A. Wichmann
cs.CVcs.LGq-bio.NCarXiv:2006.16736v32020
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Zeyu Han, Chao Gao, Jinyang Liu +2
cs.LGarXiv:2403.14608v72024
PlayWorld: Learning Robot World Models from Autonomous Play
Tenny Yin, Zhiting Mei, Zhonghe Zheng +8
cs.ROcs.AIarXiv:2603.09030v32026
How Local Mixing Encodes Relative Position in Global NoPE Attention
Cutter Dawes, Nick Alonso, Tom Figliolia +1
cs.CLcs.AIcs.LGarXiv:2609.38109v12026
Towards Accurate Multi-person Pose Estimation in the Wild
George Papandreou, Tyler Zhu, Nori Kanazawa +4
cs.CVarXiv:1701.01779v22017
Scalable Hierarchical Agglomerative Clustering
Nicholas Monath, Avinava Dubey, Guru Guruganesh +9
cs.LGarXiv:2010.11821v32020
EULER: Exploring Underused Links with Evidence-Checked Return for Multi-Agent Mathematical Discovery
Ren Zhenzhuo
cs.AIcs.MAarXiv:2609.00032v12026
Inducing Process Supervision from Outcome-Only Reinforcement Learning
Shengda Fan, Xin Cong, Zhong Zhang +2
cs.LGcs.AIarXiv:2609.36641v12026
Asteroid: the PyTorch-based audio source separation toolkit for researchers
Manuel Pariente, Samuele Cornell, Joris Cosentino +11
eess.AScs.SDarXiv:2005.04132v12020
FingerNet: An Unified Deep Network for Fingerprint Minutiae Extraction
Yao Tang, Fei Gao, Jufu Feng +1
cs.CVarXiv:1709.02228v12017
PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer
Wentao Jiang, Si Liu, Chen Gao +4
cs.CVarXiv:1909.06956v22019
Mapping Natural Language Instructions to Mobile UI Action Sequences
Yang Li, Jiacong He, Xin Zhou +2
cs.CLcs.LGarXiv:2005.03776v22020
From Pixels to Predicates: Learning Symbolic World Models via Pretrained Vision-Language Models
Ashay Athalye, Nishanth Kumar, Tom Silver +4
cs.ROcs.AIcs.CVarXiv:2501.00296v42024
Video Compression With Rate-Distortion Autoencoders
Amirhossein Habibian, Ties van Rozendaal, Jakub M. Tomczak +1
eess.IVcs.LGstat.MLarXiv:1908.05717v22019
STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
Uttaran Bhattacharya, Trisha Mittal, Rohan Chandra +3
cs.CVcs.ROarXiv:1910.12906v32019
SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization
Yang Gao, Wei Zhao, Steffen Eger
cs.CLcs.IRarXiv:2005.03724v12020
SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking
Hwaran Lee, Jinsik Lee, Tae-Yoon Kim
cs.CLcs.LGarXiv:1907.07421v12019
P3DFFT: a framework for parallel computations of Fourier transforms in three dimensions
Dmitry Pekurovsky
cs.DCcs.MSarXiv:1905.02803v12019
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation
Zhaohui Zheng, Ping Wang, Dongwei Ren +4
cs.CVarXiv:2005.03572v42020
Universal Quantum Control through Deep Reinforcement Learning
Murphy Yuezhen Niu, Sergio Boixo, Vadim Smelyanskiy +1
quant-phmath.OCarXiv:1803.01857v22018
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu, Yu Cheng, Zhe Gan +3
cs.CLcs.LGarXiv:1909.11764v52019
Unsupervised Anomaly Localization using Variational Auto-Encoders
David Zimmerer, Fabian Isensee, Jens Petersen +2
cs.LGeess.IVstat.MLarXiv:1907.02796v22019
A class of asymptotic preserving schemes for kinetic equations and related problems with stiff sources
Francis Filbet, S. Jin
math.NAarXiv:0905.1378v12009
A Tutorial on Fluid Antenna System for 6G Networks: Encompassing Communication Theory, Optimization Methods and Hardware Designs
Wee Kiat New, Kai-Kit Wong, Hao Xu +9
eess.SParXiv:2407.03449v22024
Curricular Contrastive Regularization for Physics-aware Single Image Dehazing
Yu Zheng, Jiahui Zhan, Shengfeng He +2
cs.CVarXiv:2303.14218v22023
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training
Linjie Li, Yen-Chun Chen, Yu Cheng +3
cs.CVcs.CLcs.LGarXiv:2005.00200v22020
Semi-Implicit Graph Variational Auto-Encoders
Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield +3
cs.LGstat.MLarXiv:1908.07078v42019
Worst Case and Probabilistic Analysis of the 2-Opt Algorithm for the TSP
Matthias Englert, Heiko Röglin, Berthold Vöcking
cs.DSarXiv:2302.06889v12023
RoboRacer Arena: Scaling High-Fidelity Autonomous Racing in Isaac Sim
Mihaela-Larisa Clement, Agnes Poks, Ezio Bartocci
cs.ROarXiv:2608.23040v12026
Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!
Suzanna Sia, Ayush Dalmia, Sabrina J. Mielke
cs.CLarXiv:2004.14914v22020
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology
Nima Dehmamy, Albert-László Barabási, Rose Yu
cs.LGphysics.data-anstat.MLarXiv:1907.05008v22019
BEDA: Belief Estimation as Probabilistic Constraints for Performing Strategic Dialogue Acts
Hengli Li, Zhaoxin Yu, Qi Shen +8
cs.CLcs.GTcs.MAarXiv:2512.24885v12025
Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT
Zhiyong Wu, Yun Chen, Ben Kao +1
cs.CLarXiv:2004.14786v32020
Helen: Maliciously Secure Coopetitive Learning for Linear Models
Wenting Zheng, Raluca Ada Popa, Joseph E. Gonzalez +1
cs.CRcs.LGarXiv:1907.07212v22019
Artificial Neural Networks Applied to Taxi Destination Prediction
Alexandre de Brébisson, Étienne Simon, Alex Auvolat +2
cs.LGcs.NEarXiv:1508.00021v22015
Measuring Sycophancy of Language Models in Multi-turn Dialogues
Jiseung Hong, Grace Byun, Seungone Kim +2
cs.CLarXiv:2505.23840v42025
SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing
Xue Yang, Junchi Yan, Wenlong Liao +3
cs.CVcs.LGeess.IVarXiv:2004.13316v22020
Multi-layer Representation Learning for Medical Concepts
Edward Choi, Mohammad Taha Bahadori, Elizabeth Searles +2
cs.LGarXiv:1602.05568v12016
Data Valuation using Reinforcement Learning
Jinsung Yoon, Sercan O. Arik, Tomas Pfister
cs.LGstat.MLarXiv:1909.11671v12019
Auto-Encoding Sequential Monte Carlo
Tuan Anh Le, Maximilian Igl, Tom Rainforth +2
stat.MLarXiv:1705.10306v22017
Variational inference for Monte Carlo objectives
Andriy Mnih, Danilo J. Rezende
cs.LGstat.MLarXiv:1602.06725v22016
Soundwich: Video Generation with Layered and Controllable Audio
Zhuo Ning, AmirHossein Naghi Razlighi, Sagi Polaczek +2
cs.CVcs.MMcs.SDarXiv:2610.00691v12026
Machine Unlearning for Large Language Models: Foundations, Advances, and Agentic Extensions
Xiaoyu Xu, Minxin Du, Li Bai +8
cs.CRarXiv:2609.30909v12026
BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
Bowen Wen, Jonathan Tremblay, Valts Blukis +6
cs.CVcs.AIcs.GRarXiv:2303.14158v12023
Batch Normalized Recurrent Neural Networks
César Laurent, Gabriel Pereyra, Philémon Brakel +2
stat.MLcs.LGcs.NEarXiv:1510.01378v12015
Epione: Lightweight Contact Tracing with Strong Privacy
Ni Trieu, Kareem Shehata, Prateek Saxena +2
cs.CRarXiv:2004.13293v32020
Formal Verification of Neural Network Controlled Autonomous Systems
Xiaowu Sun, Haitham Khedr, Yasser Shoukry
cs.AIcs.ROeess.SYarXiv:1810.13072v12018
Asking Clarifying Questions in Open-Domain Information-Seeking Conversations
Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani +1
cs.CLcs.AIcs.IRarXiv:1907.06554v12019
Symbolic Discovery of Optimization Algorithms
Xiangning Chen, Chen Liang, Da Huang +9
cs.LGcs.AIcs.CLarXiv:2302.06675v42023
Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems
Yu Yao, Mingze Xu, Chiho Choi +3
cs.CVcs.ROarXiv:1809.07408v22018
Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm
Mateusz Buda, Ashirbani Saha, Maciej A Mazurowski
eess.IVcs.CVcs.LGarXiv:1906.03720v12019
High-Order Discontinuous Cut Finite Element Methods for Scalar Hyperbolic Conservation Laws
Pei Fu, Gunilla Kreiss, Zelin Xin +1
math.NAcs.NAarXiv:2609.08880v12026
Up or Down? Adaptive Rounding for Post-Training Quantization
Markus Nagel, Rana Ali Amjad, Mart van Baalen +2
cs.LGcs.CVstat.MLarXiv:2004.10568v22020
Three Factors Influencing Minima in SGD
Stanisław Jastrzębski, Zachary Kenton, Devansh Arpit +4
cs.LGcs.AIcs.CVarXiv:1711.04623v32017
Adversarial Attacks on Deep Neural Networks for Time Series Classification
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber +2
cs.LGcs.CRstat.MLarXiv:1903.07054v22019
Spectral and Energy Efficiency of IRS-Assisted MISO Communication with Hardware Impairments
Shaoqing Zhou, Wei Xu, Kezhi Wang +2
cs.ITeess.SParXiv:2004.09854v12020

Every paper with a summary

What Can Artificial Intelligence Learn from Medicine? Generative Analogies and Reliable Machine Learning Systems

Gradient Descent Can Take Exponential Time to Escape Saddle Points

STAGE: Subspace-Targeted Affine Generative Erasure for Text-to-3D Models

Solving high-dimensional Hamilton-Jacobi-Bellman PDEs using neural networks: perspectives from the theory of controlled diffusions and measures on path space

Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

PlayWorld: Learning Robot World Models from Autonomous Play

How Local Mixing Encodes Relative Position in Global NoPE Attention

Towards Accurate Multi-person Pose Estimation in the Wild

Scalable Hierarchical Agglomerative Clustering

EULER: Exploring Underused Links with Evidence-Checked Return for Multi-Agent Mathematical Discovery

Inducing Process Supervision from Outcome-Only Reinforcement Learning

Asteroid: the PyTorch-based audio source separation toolkit for researchers

FingerNet: An Unified Deep Network for Fingerprint Minutiae Extraction

PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer

Mapping Natural Language Instructions to Mobile UI Action Sequences

From Pixels to Predicates: Learning Symbolic World Models via Pretrained Vision-Language Models

Video Compression With Rate-Distortion Autoencoders

STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization

SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking

P3DFFT: a framework for parallel computations of Fourier transforms in three dimensions

Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation

Universal Quantum Control through Deep Reinforcement Learning

FreeLB: Enhanced Adversarial Training for Natural Language Understanding

Unsupervised Anomaly Localization using Variational Auto-Encoders

A class of asymptotic preserving schemes for kinetic equations and related problems with stiff sources

A Tutorial on Fluid Antenna System for 6G Networks: Encompassing Communication Theory, Optimization Methods and Hardware Designs

Curricular Contrastive Regularization for Physics-aware Single Image Dehazing

HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training

Semi-Implicit Graph Variational Auto-Encoders

Worst Case and Probabilistic Analysis of the 2-Opt Algorithm for the TSP

RoboRacer Arena: Scaling High-Fidelity Autonomous Racing in Isaac Sim

Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!

Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology

BEDA: Belief Estimation as Probabilistic Constraints for Performing Strategic Dialogue Acts

Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT

Helen: Maliciously Secure Coopetitive Learning for Linear Models

Artificial Neural Networks Applied to Taxi Destination Prediction

Measuring Sycophancy of Language Models in Multi-turn Dialogues

SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

Multi-layer Representation Learning for Medical Concepts

Data Valuation using Reinforcement Learning

Auto-Encoding Sequential Monte Carlo

Variational inference for Monte Carlo objectives

Soundwich: Video Generation with Layered and Controllable Audio

Machine Unlearning for Large Language Models: Foundations, Advances, and Agentic Extensions

BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects

Batch Normalized Recurrent Neural Networks

Epione: Lightweight Contact Tracing with Strong Privacy

Formal Verification of Neural Network Controlled Autonomous Systems

Asking Clarifying Questions in Open-Domain Information-Seeking Conversations

Symbolic Discovery of Optimization Algorithms

Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems

Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm

High-Order Discontinuous Cut Finite Element Methods for Scalar Hyperbolic Conservation Laws

Up or Down? Adaptive Rounding for Post-Training Quantization

Three Factors Influencing Minima in SGD

Adversarial Attacks on Deep Neural Networks for Time Series Classification

Spectral and Energy Efficiency of IRS-Assisted MISO Communication with Hardware Impairments