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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15,541 to 15,600 of 20,193

Unsupervised Learning of Disentangled Representations from Video
Remi Denton, Vighnesh Birodkar
cs.LGcs.AIcs.CVarXiv:1705.10915v12017
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CT
Yoseob Han, Jong Chul Ye
cs.CVcs.LGstat.MLarXiv:1708.08333v32017
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
Deepak Nathani, Jatin Chauhan, Charu Sharma +1
cs.LGcs.CLstat.MLarXiv:1906.01195v12019
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Yang Liu, Yuanshun Yao, Jean-Francois Ton +6
cs.AIcs.LGarXiv:2308.05374v22023
Geometric GAN
Jae Hyun Lim, Jong Chul Ye
stat.MLcond-mat.dis-nncs.AIarXiv:1705.02894v22017
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging
Huy Phan, Fernando Andreotti, Navin Cooray +2
cs.LGeess.SPstat.MLarXiv:1809.10932v32018
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models
S. M. Ali Eslami, Nicolas Heess, Theophane Weber +4
cs.CVcs.LGarXiv:1603.08575v32016
Direct Feedback Alignment Provides Learning in Deep Neural Networks
Arild Nøkland
stat.MLcs.LGarXiv:1609.01596v52016
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks
Yige Li, Xixiang Lyu, Nodens Koren +3
cs.LGcs.AIarXiv:2101.05930v22021
Stochastic Activation Pruning for Robust Adversarial Defense
Guneet S. Dhillon, Kamyar Azizzadenesheli, Zachary C. Lipton +4
cs.LGstat.MLarXiv:1803.01442v12018
A Multi-View Embedding Space for Modeling Internet Images, Tags, and their Semantics
Yunchao Gong, Qifa Ke, Michael Isard +1
cs.CVcs.IRcs.LGarXiv:1212.4522v22012
DNA Methylation Profiling in Melanoma: From Lesion Classification to Therapeutic Stratification
Jana T. Winterstein, Lukas Heinlein, Günter Raddatz +34
q-bio.GNcs.LGarXiv:2608.21448v12026
Towards an Intelligent Edge: Wireless Communication Meets Machine Learning
Guangxu Zhu, Dongzhu Liu, Yuqing Du +3
cs.ITcs.LGcs.NIarXiv:1809.00343v12018
Fast approximation of matrix coherence and statistical leverage
Petros Drineas, Malik Magdon-Ismail, Michael W. Mahoney +1
cs.DScs.DMcs.LGarXiv:1109.3843v22011
MusPyExpress: Extending MusPy with Enhanced Expression Text Support
Phillip Long, Hao-Wen Dong, Julian McAuley +1
cs.SDcs.LGeess.ASarXiv:2608.21678v12026
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction
Kexin Huang, Cao Xiao, Lucas Glass +1
q-bio.QMcs.LGarXiv:2004.11424v12020
Convolutional neural network architecture for geometric matching
Ignacio Rocco, Relja Arandjelović, Josef Sivic
cs.CVcs.LGarXiv:1703.05593v22017
Inferring and Executing Programs for Visual Reasoning
Justin Johnson, Bharath Hariharan, Laurens van der Maaten +4
cs.CVcs.CLcs.LGarXiv:1705.03633v12017
R-Drop: Regularized Dropout for Neural Networks
Xiaobo Liang, Lijun Wu, Juntao Li +6
cs.LGarXiv:2106.14448v22021
Pretreatment DCE-MRI Resolves Response Quality Within Pathologic Endpoints in Neoadjuvant Breast Cancer
Dattatreya Kantha, Murray H. Loew
eess.IVcs.CVcs.LGarXiv:2608.22097v12026
JIT-Agent: Scaling Harness Intelligence via Just-in-Time Harness Evolution
Guibin Zhang, Leo Lu, Fangzhou Xie +13
cs.CLcs.LGarXiv:2608.25593v12026
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization
Kamran Ghasedi Dizaji, Amirhossein Herandi, Cheng Deng +2
cs.LGarXiv:1704.06327v32017
EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty
Yuhui Li, Fangyun Wei, Chao Zhang +1
cs.LGcs.CLarXiv:2401.15077v32024
SemEval-2014 Task 9: Sentiment Analysis in Twitter
Sara Rosenthal, Preslav Nakov, Alan Ritter +1
cs.CLcs.IRcs.LGarXiv:1912.02990v12019
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting
Kashif Rasul, Calvin Seward, Ingmar Schuster +1
cs.LGcs.AIarXiv:2101.12072v22021
SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping
Ioakeim Perros, Evangelos E. Papalexakis, Haesun Park +5
cs.LGarXiv:1803.05473v12018
Binary Neural Networks: A Survey
Haotong Qin, Ruihao Gong, Xianglong Liu +3
cs.NEcs.CVcs.LGarXiv:2004.03333v12020
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations
Holger R. Roth, Le Lu, Ari Seff +6
cs.CVcs.LGcs.NEarXiv:1406.2639v12014
Bi-EZP: LLM-Guided Bilevel Program Evolution for Ensemble Zero-Cost Proxy Discovery
Yutao Lai, Kezhao Lai, Hai-Lin Liu
cs.LGcs.AIarXiv:2608.21927v12026
Sparse Separable Factor Analysis in the Complex Domain with an Application to Local Field Potential Data
Ian Hultman, Kirtikanth Kalapatapu, Yassine Filali +2
stat.MLcs.LGstat.COarXiv:2608.21551v12026
A Data-Driven Approach to State Construction in Markov Models
Linde Van Gestel, Marie-Anne Guerry, Evy Rombaut
stat.MLcs.LGmath.PRarXiv:2608.21480v12026
Scale-invariant Optimal Sampling for Rare-events Data with Sparse Models
Jing Wang, HaiYing Wang, Qiang Zhang +1
stat.MLcs.LGarXiv:2608.22597v12026
Automatic Goal Generation for Reinforcement Learning Agents
Carlos Florensa, David Held, Xinyang Geng +1
cs.LGcs.AIcs.ROarXiv:1705.06366v52017
Pointwise Convolutional Neural Networks
Binh-Son Hua, Minh-Khoi Tran, Sai-Kit Yeung
cs.CVcs.LGarXiv:1712.05245v22017
Generalizing Across Domains via Cross-Gradient Training
Shiv Shankar, Vihari Piratla, Soumen Chakrabarti +3
cs.LGstat.MLarXiv:1804.10745v22018
A Fast and Simple Algorithm for Training Neural Probabilistic Language Models
Andriy Mnih, Yee Whye Teh
cs.CLcs.LGarXiv:1206.6426v12012
On The Power of Curriculum Learning in Training Deep Networks
Guy Hacohen, Daphna Weinshall
cs.LGstat.MLarXiv:1904.03626v32019
WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection
Bojia Zi, Minghao Chang, Jingjing Chen +2
cs.CVcs.LGarXiv:2101.01456v22021
GAN-Diff : Coupling Pretrained WGAN-GP Features with Conditional Diffusion U-Nets
Saif Ahmed, Ashadulla Hil Galib, S. M. Riaz Rahman Antu +5
cs.CVcs.AIcs.LGarXiv:2608.22272v12026
Stochastic Video Generation with a Learned Prior
Remi Denton, Rob Fergus
cs.CVcs.AIcs.LGarXiv:1802.07687v22018
Q8BERT: Quantized 8Bit BERT
Ofir Zafrir, Guy Boudoukh, Peter Izsak +1
cs.CLcs.LGarXiv:1910.06188v22019
DiD It in 87 Minutes: A Label-Free Softmax-to-Linear Adaptation of Vision Transformers for Object Detection
Huaiyuan Qin, Gabriel James Goenawan, Zihang Lin +2
cs.CVcs.LGarXiv:2608.22368v12026
Neural Machine Translation in Linear Time
Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan +3
cs.CLcs.LGarXiv:1610.10099v22016
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Claudio Michaelis, Benjamin Mitzkus, Robert Geirhos +5
cs.CVcs.LGstat.MLarXiv:1907.07484v22019
Adversarial Agents on Topology Optimization: Understanding the Fragility and Robustness of Deep Learning-based and Physics-Based Design Models under Adversarial Perturbation
Hoang Anh Nguyen, Yuan Hong, Hongyi Xu
cs.LGarXiv:2608.22606v12026
Multi-Object Representation Learning with Iterative Variational Inference
Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra +6
cs.LGcs.CVstat.MLarXiv:1903.00450v32019
Attention in Natural Language Processing
Andrea Galassi, Marco Lippi, Paolo Torroni
cs.CLcs.AIcs.LGarXiv:1902.02181v42019
Learning without Memorizing
Prithviraj Dhar, Rajat Vikram Singh, Kuan-Chuan Peng +2
cs.CVcs.LGarXiv:1811.08051v22018
LLM Evaluation on Unseen Questions: Contextual Multidimensional IRT Model
Ergan Shang, Weijing Tang, Yinqiu He
cs.CLcs.AIcs.LGarXiv:2608.22295v12026
D$^3$-MOPD: Adaptive Dynamic Domain ScheDuling for Efficient Multi-Teacher Distillation
Zechen Sun, Zhiwei Zhang, Fei Zhao +7
cs.LGcs.AIarXiv:2608.24987v12026
Wireless Network Intelligence at the Edge
Jihong Park, Sumudu Samarakoon, Mehdi Bennis +1
cs.ITcs.LGcs.NIarXiv:1812.02858v22018
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
Rakshit Trivedi, Hanjun Dai, Yichen Wang +1
cs.AIcs.CLcs.LGarXiv:1705.05742v32017
CD-LoRA: Consistency-Driven Low-Rank Adaptation for Multi-Task Fine-Tuning
Qian Zha, Jinda Liu, Yuan Wu +1
cs.LGarXiv:2608.21909v12026
Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph
Cong Fu, Chao Xiang, Changxu Wang +1
cs.LGarXiv:1707.00143v102017
On Kernelized Multi-armed Bandits
Sayak Ray Chowdhury, Aditya Gopalan
cs.LGarXiv:1704.00445v22017
Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth
Yihe Dong, Jean-Baptiste Cordonnier, Andreas Loukas
cs.LGarXiv:2103.03404v22021
Classifying Relations by Ranking with Convolutional Neural Networks
Cicero Nogueira dos Santos, Bing Xiang, Bowen Zhou
cs.CLcs.LGcs.NEarXiv:1504.06580v22015
C-RNN-GAN: Continuous recurrent neural networks with adversarial training
Olof Mogren
cs.AIcs.LGarXiv:1611.09904v12016
Who Should Teach? Confidence-Aware Dual-Teacher Learning for Few-Shot Node Classification on Text-Attributed Graphs
Hojin Kim, Sujin Yoon, Sungsu Lim +2
cs.LGcs.SIarXiv:2608.22127v12026
Conditional validity of inductive conformal predictors
Vladimir Vovk
cs.LGarXiv:1209.2673v22012

Machine Learning

Unsupervised Learning of Disentangled Representations from Video

Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CT

Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment

Geometric GAN

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging

Attend, Infer, Repeat: Fast Scene Understanding with Generative Models

Direct Feedback Alignment Provides Learning in Deep Neural Networks

Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks

Stochastic Activation Pruning for Robust Adversarial Defense

A Multi-View Embedding Space for Modeling Internet Images, Tags, and their Semantics

DNA Methylation Profiling in Melanoma: From Lesion Classification to Therapeutic Stratification

Towards an Intelligent Edge: Wireless Communication Meets Machine Learning

Fast approximation of matrix coherence and statistical leverage

MusPyExpress: Extending MusPy with Enhanced Expression Text Support

MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction

Convolutional neural network architecture for geometric matching

Inferring and Executing Programs for Visual Reasoning

R-Drop: Regularized Dropout for Neural Networks

Pretreatment DCE-MRI Resolves Response Quality Within Pathologic Endpoints in Neoadjuvant Breast Cancer

JIT-Agent: Scaling Harness Intelligence via Just-in-Time Harness Evolution

Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization

EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty

SemEval-2014 Task 9: Sentiment Analysis in Twitter

Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting

SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping

Binary Neural Networks: A Survey

A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations

Bi-EZP: LLM-Guided Bilevel Program Evolution for Ensemble Zero-Cost Proxy Discovery

Sparse Separable Factor Analysis in the Complex Domain with an Application to Local Field Potential Data

A Data-Driven Approach to State Construction in Markov Models

Scale-invariant Optimal Sampling for Rare-events Data with Sparse Models

Automatic Goal Generation for Reinforcement Learning Agents

Pointwise Convolutional Neural Networks

Generalizing Across Domains via Cross-Gradient Training

A Fast and Simple Algorithm for Training Neural Probabilistic Language Models

On The Power of Curriculum Learning in Training Deep Networks

WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection

GAN-Diff : Coupling Pretrained WGAN-GP Features with Conditional Diffusion U-Nets

Stochastic Video Generation with a Learned Prior

Q8BERT: Quantized 8Bit BERT

DiD It in 87 Minutes: A Label-Free Softmax-to-Linear Adaptation of Vision Transformers for Object Detection

Neural Machine Translation in Linear Time

Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Adversarial Agents on Topology Optimization: Understanding the Fragility and Robustness of Deep Learning-based and Physics-Based Design Models under Adversarial Perturbation

Multi-Object Representation Learning with Iterative Variational Inference

Attention in Natural Language Processing

Learning without Memorizing

LLM Evaluation on Unseen Questions: Contextual Multidimensional IRT Model

D$^3$-MOPD: Adaptive Dynamic Domain ScheDuling for Efficient Multi-Teacher Distillation

Wireless Network Intelligence at the Edge

Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs

CD-LoRA: Consistency-Driven Low-Rank Adaptation for Multi-Task Fine-Tuning

Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph

On Kernelized Multi-armed Bandits

Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth

Classifying Relations by Ranking with Convolutional Neural Networks

C-RNN-GAN: Continuous recurrent neural networks with adversarial training

Who Should Teach? Confidence-Aware Dual-Teacher Learning for Few-Shot Node Classification on Text-Attributed Graphs

Conditional validity of inductive conformal predictors