Machine Learning

Papers filed under cs.LG on arXiv, each one already summarized by Paperlayer. 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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10,681 to 10,740 of 20,199

A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
Yuhang Li, Shikuang Deng, Xin Dong +2
cs.LGarXiv:2106.06984v12021
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review
Marjane Khodatars, Afshin Shoeibi, Delaram Sadeghi +12
cs.LGeess.IVstat.MLarXiv:2007.01285v42020
Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI
Dingzhu Wen, Peixi Liu, Guangxu Zhu +4
cs.ITcs.LGarXiv:2207.00969v12022
polyBERT: A chemical language model to enable fully machine-driven ultrafast polymer informatics
Christopher Kuenneth, Rampi Ramprasad
cond-mat.mtrl-scics.AIcs.LGarXiv:2209.14803v12022
Toward Transformer-Based Object Detection
Josh Beal, Eric Kim, Eric Tzeng +3
cs.CVcs.AIcs.LGarXiv:2012.09958v12020
DeepRx: Fully Convolutional Deep Learning Receiver
Mikko Honkala, Dani Korpi, Janne M. J. Huttunen
eess.SPcs.LGcs.NIarXiv:2005.01494v22020
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts
Bertrand Charpentier, Daniel Zügner, Stephan Günnemann
cs.LGstat.MLarXiv:2006.09239v22020
Adaptive Neural Signal Detection for Massive MIMO
Mehrdad Khani, Mohammad Alizadeh, Jakob Hoydis +1
eess.SPcs.LGstat.MLarXiv:1906.04610v12019
BEAT: A Large-Scale Semantic and Emotional Multi-Modal Dataset for Conversational Gestures Synthesis
Haiyang Liu, Zihao Zhu, Naoya Iwamoto +5
cs.CVcs.CLcs.GRarXiv:2203.05297v52022
Human-to-Robot Imitation in the Wild
Shikhar Bahl, Abhinav Gupta, Deepak Pathak
cs.ROcs.AIcs.CVarXiv:2207.09450v12022
A Survey on Compiler Autotuning using Machine Learning
Amir H. Ashouri, William Killian, John Cavazos +2
cs.PLcs.LGarXiv:1801.04405v52018
Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction
Lingbo Liu, Zhilin Qiu, Guanbin Li +3
cs.LGcs.AIstat.MLarXiv:1905.06335v12019
On the Effectiveness of Parameter-Efficient Fine-Tuning
Zihao Fu, Haoran Yang, Anthony Man-Cho So +3
cs.CLcs.AIcs.LGarXiv:2211.15583v12022
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training
Tianle Cai, Shengjie Luo, Keyulu Xu +3
cs.LGmath.OCstat.MLarXiv:2009.03294v32020
Dissecting Neural ODEs
Stefano Massaroli, Michael Poli, Jinkyoo Park +2
cs.LGcs.NEstat.MLarXiv:2002.08071v42020
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning
Francis Bach
cs.LGstat.MLarXiv:0809.1493v12008
Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization
Shicong Cen, Chen Cheng, Yuxin Chen +2
stat.MLcs.ITcs.LGarXiv:2007.06558v52020
Brain Network Transformer
Xuan Kan, Wei Dai, Hejie Cui +3
cs.LGcs.CVcs.NEarXiv:2210.06681v22022
An Online Convex Optimization Approach to Dynamic Network Resource Allocation
Tianyi Chen, Qing Ling, Georgios B. Giannakis
eess.SYcs.LGmath.OCarXiv:1701.03974v22017
MagNet and "Efficient Defenses Against Adversarial Attacks" are Not Robust to Adversarial Examples
Nicholas Carlini, David Wagner
cs.LGcs.AIcs.CRarXiv:1711.08478v12017
CycleGAN, a Master of Steganography
Casey Chu, Andrey Zhmoginov, Mark Sandler
cs.CVcs.LGstat.MLarXiv:1712.02950v22017
Predicting Deeper into the Future of Semantic Segmentation
Pauline Luc, Natalia Neverova, Camille Couprie +2
cs.CVcs.LGarXiv:1703.07684v32017
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
Meng Qu, Junkun Chen, Louis-Pascal Xhonneux +2
cs.AIcs.LGarXiv:2010.04029v22020
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models
Weijian Luo, Tianyang Hu, Shifeng Zhang +3
cs.LGcs.CVarXiv:2305.18455v22023
Composable Deep Reinforcement Learning for Robotic Manipulation
Tuomas Haarnoja, Vitchyr Pong, Aurick Zhou +3
cs.LGcs.AIcs.ROarXiv:1803.06773v12018
Deep Unsupervised Cardinality Estimation
Zongheng Yang, Eric Liang, Amog Kamsetty +7
cs.DBcs.LGarXiv:1905.04278v22019
Transformer for Image Quality Assessment
Junyong You, Jari Korhonen
cs.CVcs.LGeess.IVarXiv:2101.01097v22020
Learning between the peaks: sharp asymptotics for kernel ridge regression under power-law anisotropy
Lorenzo Rizzi, Arie Wortsman Zurich, Bruno Loureiro
stat.MLcs.LGarXiv:2608.28564v12026
Understanding the Limitations of Variational Mutual Information Estimators
Jiaming Song, Stefano Ermon
cs.LGcs.ITstat.MLarXiv:1910.06222v22019
Visual Analytics for Explainable Deep Learning
Jaegul Choo, Shixia Liu
cs.HCcs.LGstat.MLarXiv:1804.02527v12018
Foundations of data imbalance and solutions for a data democracy
Ajay Kulkarni, Deri Chong, Feras A. Batarseh
cs.LGcs.AIstat.MLarXiv:2108.00071v12021
On two proofs of $d^2$ mixing of weighted Dikin walks
Yuansi Chen, Yunbum Kook
cs.DScs.LGmath.OCarXiv:2608.28566v12026
Efficient Domain Generalization via Common-Specific Low-Rank Decomposition
Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi
cs.LGstat.MLarXiv:2003.12815v22020
ResNet with one-neuron hidden layers is a Universal Approximator
Hongzhou Lin, Stefanie Jegelka
cs.LGstat.MLarXiv:1806.10909v22018
Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval
Pascal Notin, Mafalda Dias, Jonathan Frazer +4
cs.LGarXiv:2205.13760v12022
Context Based Emotion Recognition using EMOTIC Dataset
Ronak Kosti, Jose M. Alvarez, Adria Recasens +1
cs.CVcs.LGarXiv:2003.13401v12020
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction
Yaodong Yu, Kwan Ho Ryan Chan, Chong You +2
cs.LGcs.CVcs.ITarXiv:2006.08558v12020
Deep learning electromagnetic inversion with convolutional neural networks
Vladimir Puzyrev
physics.geo-phcs.LGcs.NEarXiv:1812.10247v12018
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification
Babak Rokh, Ali Azarpeyvand, Alireza Khanteymoori
cs.LGarXiv:2205.07877v52022
Explaining the Unique Nature of Individual Gait Patterns with Deep Learning
Fabian Horst, Sebastian Lapuschkin, Wojciech Samek +2
cs.LGstat.MLarXiv:1808.04308v22018
Local Graph Clustering with Network Lasso
Alexander Jung, Yasmin SarcheshmehPour
cs.LGstat.MLarXiv:2004.12199v32020
A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder
Youngkyu Kim, Youngsoo Choi, David Widemann +1
math.NAcs.LGcs.NEarXiv:2009.11990v22020
Generalized Splines and Gaussian Processes
Michael Unser
math.STcs.LGmath.FAarXiv:2608.28446v12026
Off-policy evaluation for slate recommendation
Adith Swaminathan, Akshay Krishnamurthy, Alekh Agarwal +4
cs.LGcs.AIstat.MLarXiv:1605.04812v32016
Post-Training VLMs for Video Mistake Detection
Federico Spurio, Olga Zatsarynna, Lars Doorenbos +3
cs.CVcs.LGarXiv:2608.28406v12026
When Does Self-Supervision Help Graph Convolutional Networks?
Yuning You, Tianlong Chen, Zhangyang Wang +1
cs.LGstat.MLarXiv:2006.09136v42020
Personalized Transfer of User Preferences for Cross-domain Recommendation
Yongchun Zhu, Zhenwei Tang, Yudan Liu +5
cs.IRcs.LGarXiv:2110.11154v32021
The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining
Yi Liu, Lei Xu, Xingliang Yuan +2
cs.CRcs.LGarXiv:2203.07320v12022
Batched Large-scale Bayesian Optimization in High-dimensional Spaces
Zi Wang, Clement Gehring, Pushmeet Kohli +1
stat.MLcs.LGmath.OCarXiv:1706.01445v42017
Towards Conceptual Compression
Karol Gregor, Frederic Besse, Danilo Jimenez Rezende +2
stat.MLcs.CVcs.LGarXiv:1604.08772v12016
VAIN: Attentional Multi-agent Predictive Modeling
Yedid Hoshen
cs.LGcs.AIarXiv:1706.06122v22017
Quantum Federated Learning Based on Bures--Uhlmann Geometry for Heterogeneous Noisy Clients
Haruki Emori, Masaki Uchihara, Yuuki Tokunaga
quant-phcs.LGarXiv:2608.28379v12026
Localizing Global Discrepancies: Marginal Contributions and Contextual Anomaly Detection
Tommaso dorigo
stat.MLcs.LGphysics.data-anarXiv:2608.28375v12026
One 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:1906.02773v22019
Learning Robust Representations by Projecting Superficial Statistics Out
Haohan Wang, Zexue He, Zachary C. Lipton +1
cs.CVcs.LGarXiv:1903.06256v12019
LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM
Daniele Cattaneo, Matteo Vaghi, Abhinav Valada
cs.ROcs.CVcs.LGarXiv:2103.05056v42021
TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning
Youngeun Kwon, Yunjae Lee, Minsoo Rhu
cs.LGcs.ARcs.DCarXiv:1908.03072v22019
Practical and Private (Deep) Learning without Sampling or Shuffling
Peter Kairouz, Brendan McMahan, Shuang Song +3
cs.CRcs.LGarXiv:2103.00039v32021
Curvature-Conditioned Multiscale Momentum with Sphere Constraints for LLM Pretraining
Shuchen Zhu, Yuxin Fang, Mingze Wang +1
cs.LGarXiv:2608.28442v12026
Adversarial Training Can Hurt Generalization
Aditi Raghunathan, Sang Michael Xie, Fanny Yang +2
cs.LGstat.MLarXiv:1906.06032v22019

Machine Learning

A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration

Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review

Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI

polyBERT: A chemical language model to enable fully machine-driven ultrafast polymer informatics

Toward Transformer-Based Object Detection

DeepRx: Fully Convolutional Deep Learning Receiver

Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts

Adaptive Neural Signal Detection for Massive MIMO

BEAT: A Large-Scale Semantic and Emotional Multi-Modal Dataset for Conversational Gestures Synthesis

Human-to-Robot Imitation in the Wild

A Survey on Compiler Autotuning using Machine Learning

Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction

On the Effectiveness of Parameter-Efficient Fine-Tuning

GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training

Dissecting Neural ODEs

Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning

Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization

Brain Network Transformer

An Online Convex Optimization Approach to Dynamic Network Resource Allocation

MagNet and "Efficient Defenses Against Adversarial Attacks" are Not Robust to Adversarial Examples

CycleGAN, a Master of Steganography

Predicting Deeper into the Future of Semantic Segmentation

RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs

Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models

Composable Deep Reinforcement Learning for Robotic Manipulation

Deep Unsupervised Cardinality Estimation

Transformer for Image Quality Assessment

Learning between the peaks: sharp asymptotics for kernel ridge regression under power-law anisotropy

Understanding the Limitations of Variational Mutual Information Estimators

Visual Analytics for Explainable Deep Learning

Foundations of data imbalance and solutions for a data democracy

On two proofs of $d^2$ mixing of weighted Dikin walks

Efficient Domain Generalization via Common-Specific Low-Rank Decomposition

ResNet with one-neuron hidden layers is a Universal Approximator

Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval

Context Based Emotion Recognition using EMOTIC Dataset

Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction

Deep learning electromagnetic inversion with convolutional neural networks

A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification

Explaining the Unique Nature of Individual Gait Patterns with Deep Learning

Local Graph Clustering with Network Lasso

A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder

Generalized Splines and Gaussian Processes

Off-policy evaluation for slate recommendation

Post-Training VLMs for Video Mistake Detection

When Does Self-Supervision Help Graph Convolutional Networks?

Personalized Transfer of User Preferences for Cross-domain Recommendation

The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining

Batched Large-scale Bayesian Optimization in High-dimensional Spaces

Towards Conceptual Compression

VAIN: Attentional Multi-agent Predictive Modeling

Quantum Federated Learning Based on Bures--Uhlmann Geometry for Heterogeneous Noisy Clients

Localizing Global Discrepancies: Marginal Contributions and Contextual Anomaly Detection

One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers

Learning Robust Representations by Projecting Superficial Statistics Out

LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM

TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning

Practical and Private (Deep) Learning without Sampling or Shuffling

Curvature-Conditioned Multiscale Momentum with Sphere Constraints for LLM Pretraining

Adversarial Training Can Hurt Generalization