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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13,081 to 13,140 of 20,198

A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs
Stefania Fresca, Luca Dede, Andrea Manzoni
math.NAcs.LGarXiv:2001.04001v12020
Supermasks in Superposition
Mitchell Wortsman, Vivek Ramanujan, Rosanne Liu +4
cs.LGcs.AIstat.MLarXiv:2006.14769v32020
Graph Information Bottleneck
Tailin Wu, Hongyu Ren, Pan Li +1
cs.LGstat.MLarXiv:2010.12811v12020
Summaries:한국어
SE(3) diffusion model with application to protein backbone generation
Jason Yim, Brian L. Trippe, Valentin De Bortoli +4
cs.LGq-bio.QMstat.MLarXiv:2302.02277v32023
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation
Le Wu, Junwei Li, Peijie Sun +3
cs.SIcs.IRcs.LGarXiv:2002.00844v42020
BABEL: Bodies, Action and Behavior with English Labels
Abhinanda R. Punnakkal, Arjun Chandrasekaran, Nikos Athanasiou +2
cs.CVcs.GRcs.LGarXiv:2106.09696v22021
Fast Image Processing with Fully-Convolutional Networks
Qifeng Chen, Jia Xu, Vladlen Koltun
cs.CVcs.GRcs.LGarXiv:1709.00643v12017
OminiControl: Minimal and Universal Control for Diffusion Transformer
Zhenxiong Tan, Songhua Liu, Xingyi Yang +2
cs.CVcs.AIcs.LGarXiv:2411.15098v62024
Exploring the Encoding Layer and Loss Function in End-to-End Speaker and Language Recognition System
Weicheng Cai, Jinkun Chen, Ming Li
eess.AScs.LGcs.SDarXiv:1804.05160v12018
Does Audio Deepfake Detection Generalize?
Nicolas M. Müller, Pavel Czempin, Franziska Dieckmann +2
cs.SDcs.LGeess.ASarXiv:2203.16263v52022
Latent ODEs for Irregularly-Sampled Time Series
Yulia Rubanova, Ricky T. Q. Chen, David Duvenaud
cs.LGstat.MLarXiv:1907.03907v12019
Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information
Kawin Ethayarajh, Yejin Choi, Swabha Swayamdipta
cs.CLcs.AIcs.LGarXiv:2110.08420v32021
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
Tianqi Chen, Thierry Moreau, Ziheng Jiang +9
cs.LGcs.AIcs.PLarXiv:1802.04799v32018
Distribution Matching Losses Can Hallucinate Features in Medical Image Translation
Joseph Paul Cohen, Margaux Luck, Sina Honari
cs.CVcs.LGarXiv:1805.08841v32018
Better Mixing via Deep Representations
Yoshua Bengio, Grégoire Mesnil, Yann Dauphin +1
cs.LGarXiv:1207.4404v12012
Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory
Xizhou Zhu, Yuntao Chen, Hao Tian +10
cs.AIcs.CLcs.CVarXiv:2305.17144v22023
Adversarial Attacks and Defences Competition
Alexey Kurakin, Ian Goodfellow, Samy Bengio +20
cs.CVcs.CRcs.LGarXiv:1804.00097v12018
A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration
Bo Zhao, Benjamin I. P. Rubinstein, Jim Gemmell +1
cs.DBcs.LGarXiv:1203.0058v12012
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
Junnan Li, Caiming Xiong, Steven Hoi
cs.LGcs.CVarXiv:2011.11183v22020
Benchmarking and Survey of Explanation Methods for Black Box Models
Francesco Bodria, Fosca Giannotti, Riccardo Guidotti +3
cs.AIcs.CYcs.LGarXiv:2102.13076v12021
Deep learning for molecular design - a review of the state of the art
Daniel C. Elton, Zois Boukouvalas, Mark D. Fuge +1
cs.LGphysics.chem-phstat.MLarXiv:1903.04388v32019
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices
Santosh S. Vempala, Andre Wibisono
cs.DScs.LGmath.PRarXiv:1903.08568v42019
Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation
Guolei Sun, Wenguan Wang, Jifeng Dai +1
cs.CVcs.LGeess.IVarXiv:2007.01947v22020
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
Oleksiy Ostapenko, Mihai Puscas, Tassilo Klein +2
cs.NEcs.CVcs.LGarXiv:1904.03137v42019
Differentiation of Blackbox Combinatorial Solvers
Marin Vlastelica, Anselm Paulus, Vít Musil +2
cs.LGstat.MLarXiv:1912.02175v22019
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
Yang Liu, Anbu Huang, Yun Luo +7
cs.LGcs.CVstat.MLarXiv:2001.06202v12020
SELF: Learning to Filter Noisy Labels with Self-Ensembling
Duc Tam Nguyen, Chaithanya Kumar Mummadi, Thi Phuong Nhung Ngo +3
cs.CVcs.LGstat.MLarXiv:1910.01842v12019
Federated Learning: Opportunities and Challenges
Priyanka Mary Mammen
cs.LGcs.DCarXiv:2101.05428v12021
Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction
Florian Knoll, Kerstin Hammernik, Chi Zhang +4
eess.SPcs.CVcs.LGarXiv:1904.01112v12019
ChatGPT is not all you need. A State of the Art Review of large Generative AI models
Roberto Gozalo-Brizuela, Eduardo C. Garrido-Merchan
cs.LGcs.AIarXiv:2301.04655v12023
Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation
Cong Liao, Haoti Zhong, Anna Squicciarini +2
cs.CRcs.LGstat.MLarXiv:1808.10307v12018
Learning with Symmetric Label Noise: The Importance of Being Unhinged
Brendan van Rooyen, Aditya Krishna Menon, Robert C. Williamson
cs.LGarXiv:1505.07634v12015
Commonsense Knowledge Mining from Pretrained Models
Joshua Feldman, Joe Davison, Alexander M. Rush
cs.CLcs.AIcs.LGarXiv:1909.00505v12019
Transformers are Sample-Efficient World Models
Vincent Micheli, Eloi Alonso, François Fleuret
cs.LGcs.AIcs.CVarXiv:2209.00588v22022
Constructing Unrestricted Adversarial Examples with Generative Models
Yang Song, Rui Shu, Nate Kushman +1
cs.LGcs.AIcs.CRarXiv:1805.07894v42018
Improving Topic Models with Latent Feature Word Representations
Dat Quoc Nguyen, Richard Billingsley, Lan Du +1
cs.CLcs.IRcs.LGarXiv:1810.06306v12018
Alzheimer's Dementia Recognition through Spontaneous Speech: The ADReSS Challenge
Saturnino Luz, Fasih Haider, Sofia de la Fuente +2
eess.AScs.LGstat.MLarXiv:2004.06833v32020
Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training
Xidong Feng, Ziyu Wan, Muning Wen +4
cs.LGcs.AIcs.CLarXiv:2309.17179v22023
Cooperative Perception for 3D Object Detection in Driving Scenarios using Infrastructure Sensors
Eduardo Arnold, Mehrdad Dianati, Robert de Temple +1
cs.CVcs.LGcs.MAarXiv:1912.12147v22019
Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning
Wenqi Shi, Sheng Zhou, Zhisheng Niu +2
cs.ITcs.LGcs.NIarXiv:2007.07174v12020
Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar
Jamie Tolan, Hung-I Yang, Ben Nosarzewski +13
cs.CVcs.LGarXiv:2304.07213v32023
Neural Autoregressive Distribution Estimation
Benigno Uria, Marc-Alexandre Côté, Karol Gregor +2
cs.LGarXiv:1605.02226v32016
Combating Fake News: A Survey on Identification and Mitigation Techniques
Karishma Sharma, Feng Qian, He Jiang +3
cs.LGcs.AIcs.SIarXiv:1901.06437v12019
Relation Classification via Recurrent Neural Network
Dongxu Zhang, Dong Wang
cs.CLcs.LGcs.NEarXiv:1508.01006v22015
A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks
Umut Simsekli, Levent Sagun, Mert Gurbuzbalaban
cs.LGstat.MLarXiv:1901.06053v12019
Syntax-Directed Variational Autoencoder for Structured Data
Hanjun Dai, Yingtao Tian, Bo Dai +2
cs.LGcs.CLarXiv:1802.08786v12018
Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization
Hesham Mostafa, Xin Wang
cs.LGstat.MLarXiv:1902.05967v32019
Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
Yilong Zhao, Chien-Yu Lin, Kan Zhu +7
cs.LGarXiv:2310.19102v32023
Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches
Yeming Wen, Paul Vicol, Jimmy Ba +2
cs.LGstat.MLarXiv:1803.04386v22018
Learning with Augmented Features for Heterogeneous Domain Adaptation
Lixin Duan, Dong Xu, Ivor Tsang
cs.LGarXiv:1206.4660v12012
Predicting materials properties without crystal structure: Deep representation learning from stoichiometry
Rhys E. A. Goodall, Alpha A. Lee
physics.comp-phcond-mat.mtrl-scics.LGarXiv:1910.00617v42019
BAGAN: Data Augmentation with Balancing GAN
Giovanni Mariani, Florian Scheidegger, Roxana Istrate +2
cs.CVcs.LGstat.MLarXiv:1803.09655v22018
Asynchronous Stochastic Gradient Descent with Delay Compensation
Shuxin Zheng, Qi Meng, Taifeng Wang +4
cs.LGcs.DCarXiv:1609.08326v62016
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning
Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine
cs.AIcs.LGcs.ROarXiv:1906.05253v12019
MLPerf Tiny Benchmark
Colby Banbury, Vijay Janapa Reddi, Peter Torelli +19
cs.LGcs.ARarXiv:2106.07597v42021
Offline Reinforcement Learning with Fisher Divergence Critic Regularization
Ilya Kostrikov, Jonathan Tompson, Rob Fergus +1
cs.LGarXiv:2103.08050v12021
A mathematical theory of semantic development in deep neural networks
Andrew M. Saxe, James L. McClelland, Surya Ganguli
cs.LGcs.AIq-bio.NCarXiv:1810.10531v12018
Self-attention for raw optical Satellite Time Series Classification
Marc Rußwurm, Marco Körner
cs.LGeess.IVstat.MLarXiv:1910.10536v32019
i-RevNet: Deep Invertible Networks
Jörn-Henrik Jacobsen, Arnold Smeulders, Edouard Oyallon
cs.LGcs.CVstat.MLarXiv:1802.07088v12018
Hand Pose Estimation via Latent 2.5D Heatmap Regression
Umar Iqbal, Pavlo Molchanov, Thomas Breuel +2
cs.CVcs.LGarXiv:1804.09534v12018

Machine Learning

A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs

Supermasks in Superposition

Graph Information Bottleneck

SE(3) diffusion model with application to protein backbone generation

DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation

BABEL: Bodies, Action and Behavior with English Labels

Fast Image Processing with Fully-Convolutional Networks

OminiControl: Minimal and Universal Control for Diffusion Transformer

Exploring the Encoding Layer and Loss Function in End-to-End Speaker and Language Recognition System

Does Audio Deepfake Detection Generalize?

Latent ODEs for Irregularly-Sampled Time Series

Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information

TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

Distribution Matching Losses Can Hallucinate Features in Medical Image Translation

Better Mixing via Deep Representations

Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory

Adversarial Attacks and Defences Competition

A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration

CoMatch: Semi-supervised Learning with Contrastive Graph Regularization

Benchmarking and Survey of Explanation Methods for Black Box Models

Deep learning for molecular design - a review of the state of the art

Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices

Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning

Differentiation of Blackbox Combinatorial Solvers

FedVision: An Online Visual Object Detection Platform Powered by Federated Learning

SELF: Learning to Filter Noisy Labels with Self-Ensembling

Federated Learning: Opportunities and Challenges

Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction

ChatGPT is not all you need. A State of the Art Review of large Generative AI models

Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation

Learning with Symmetric Label Noise: The Importance of Being Unhinged

Commonsense Knowledge Mining from Pretrained Models

Transformers are Sample-Efficient World Models

Constructing Unrestricted Adversarial Examples with Generative Models

Improving Topic Models with Latent Feature Word Representations

Alzheimer's Dementia Recognition through Spontaneous Speech: The ADReSS Challenge

Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training

Cooperative Perception for 3D Object Detection in Driving Scenarios using Infrastructure Sensors

Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning

Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar

Neural Autoregressive Distribution Estimation

Combating Fake News: A Survey on Identification and Mitigation Techniques

Relation Classification via Recurrent Neural Network

A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks

Syntax-Directed Variational Autoencoder for Structured Data

Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization

Atom: Low-bit Quantization for Efficient and Accurate LLM Serving

Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches

Learning with Augmented Features for Heterogeneous Domain Adaptation

Predicting materials properties without crystal structure: Deep representation learning from stoichiometry

BAGAN: Data Augmentation with Balancing GAN

Asynchronous Stochastic Gradient Descent with Delay Compensation

Search on the Replay Buffer: Bridging Planning and Reinforcement Learning

MLPerf Tiny Benchmark

Offline Reinforcement Learning with Fisher Divergence Critic Regularization

A mathematical theory of semantic development in deep neural networks

Self-attention for raw optical Satellite Time Series Classification

i-RevNet: Deep Invertible Networks

Hand Pose Estimation via Latent 2.5D Heatmap Regression