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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11,401 to 11,460 of 20,016

Towards Understanding Grokking: An Effective Theory of Representation Learning
Ziming Liu, Ouail Kitouni, Niklas Nolte +3
cs.LGcond-mat.dis-nncond-mat.stat-mecharXiv:2205.10343v22022
Inductive Matrix Completion Based on Graph Neural Networks
Muhan Zhang, Yixin Chen
cs.IRcs.LGstat.MLarXiv:1904.12058v32019
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning
Saiprasad Ravishankar, Jong Chul Ye, Jeffrey A. Fessler
eess.IVcs.LGstat.MLarXiv:1904.02816v32019
Double Graph Based Reasoning for Document-level Relation Extraction
Shuang Zeng, Runxin Xu, Baobao Chang +1
cs.CLcs.AIcs.LGarXiv:2009.13752v12020
What Can Neural Networks Reason About?
Keyulu Xu, Jingling Li, Mozhi Zhang +3
cs.LGcs.AIcs.CVarXiv:1905.13211v42019
Geometric Latent Diffusion Models for 3D Molecule Generation
Minkai Xu, Alexander Powers, Ron Dror +2
cs.LGq-bio.QMarXiv:2305.01140v12023
Training Neural Networks with Fixed Sparse Masks
Yi-Lin Sung, Varun Nair, Colin Raffel
cs.LGarXiv:2111.09839v12021
Benchmarking Simulation-Based Inference
Jan-Matthis Lueckmann, Jan Boelts, David S. Greenberg +2
stat.MLcs.LGarXiv:2101.04653v22021
Neural Symbolic Regression that Scales
Luca Biggio, Tommaso Bendinelli, Alexander Neitz +2
cs.LGarXiv:2106.06427v12021
A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions
Ons Aouedi, Thai-Hoc Vu, Alessio Sacco +4
cs.NIcs.AIcs.CRarXiv:2406.03820v22024
VERSE: Versatile Graph Embeddings from Similarity Measures
Anton Tsitsulin, Davide Mottin, Panagiotis Karras +1
cs.SIcs.LGarXiv:1803.04742v12018
Adversarial Examples that Fool both Computer Vision and Time-Limited Humans
Gamaleldin F. Elsayed, Shreya Shankar, Brian Cheung +4
cs.LGcs.CVq-bio.NCarXiv:1802.08195v32018
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
Yukang Chen, Shengju Qian, Haotian Tang +4
cs.CLcs.AIcs.LGarXiv:2309.12307v32023
EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals
Kay Gregor Hartmann, Robin Tibor Schirrmeister, Tonio Ball
eess.SPcs.LGq-bio.NCarXiv:1806.01875v12018
Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search
Xiangxiang Chu, Bo Zhang, Hailong Ma +2
cs.CVcs.LGarXiv:1901.07261v32019
What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction
Christoph Schöller, Vincent Aravantinos, Florian Lay +1
cs.CVcs.LGcs.ROarXiv:1903.07933v32019
Var-CNN: A Data-Efficient Website Fingerprinting Attack Based on Deep Learning
Sanjit Bhat, David Lu, Albert Kwon +1
cs.CRcs.LGarXiv:1802.10215v22018
Zero-Shot Entity Linking by Reading Entity Descriptions
Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee +3
cs.CLcs.LGarXiv:1906.07348v12019
Differentiable Causal Discovery from Interventional Data
Philippe Brouillard, Sébastien Lachapelle, Alexandre Lacoste +2
cs.LGstat.MLarXiv:2007.01754v22020
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning
Junhyuk Oh, Satinder Singh, Honglak Lee +1
cs.AIcs.LGarXiv:1706.05064v22017
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model
Julien Brajard, Alberto Carassi, Marc Bocquet +1
stat.MLcs.LGphysics.ao-pharXiv:2001.01520v22020
Multi-task Neural Networks for QSAR Predictions
George E. Dahl, Navdeep Jaitly, Ruslan Salakhutdinov
stat.MLcs.LGcs.NEarXiv:1406.1231v12014
Deep Bidirectional Language-Knowledge Graph Pretraining
Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren +4
cs.CLcs.AIcs.LGarXiv:2210.09338v22022
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers
Xiaoyi Dong, Jianmin Bao, Ting Zhang +7
cs.CVcs.LGarXiv:2111.12710v32021
Deep $k$-Means: Jointly clustering with $k$-Means and learning representations
Maziar Moradi Fard, Thibaut Thonet, Eric Gaussier
cs.LGstat.MLarXiv:1806.10069v22018
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records
Bum Chul Kwon, Min-Je Choi, Joanne Taery Kim +5
cs.LGcs.HCstat.MLarXiv:1805.10724v32018
Transfer Learning for Non-Intrusive Load Monitoring
Michele DIncecco, Stefano Squartini, Mingjun Zhong
cs.LGstat.MLarXiv:1902.08835v32019
Transformers Learn Shortcuts to Automata
Bingbin Liu, Jordan T. Ash, Surbhi Goel +2
cs.LGcs.FLstat.MLarXiv:2210.10749v22022
Deep Convolutional Networks as shallow Gaussian Processes
Adrià Garriga-Alonso, Carl Edward Rasmussen, Laurence Aitchison
stat.MLcs.LGarXiv:1808.05587v22018
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning
Fan Zhou, Chengtai Cao, Kunpeng Zhang +3
cs.LGstat.MLarXiv:1905.09718v12019
Stronger Data Poisoning Attacks Break Data Sanitization Defenses
Pang Wei Koh, Jacob Steinhardt, Percy Liang
stat.MLcs.CRcs.LGarXiv:1811.00741v22018
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study
Marcin Andrychowicz, Anton Raichuk, Piotr Stańczyk +9
cs.LGstat.MLarXiv:2006.05990v12020
Riemannian Score-Based Generative Modelling
Valentin De Bortoli, Emile Mathieu, Michael Hutchinson +3
cs.LGmath.PRstat.MLarXiv:2202.02763v32022
Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks using an Incompetent Teacher
Vikram S Chundawat, Ayush K Tarun, Murari Mandal +1
cs.LGarXiv:2205.08096v22022
Vision-Language Models for Medical Report Generation and Visual Question Answering: A Review
Iryna Hartsock, Ghulam Rasool
cs.CVcs.LGarXiv:2403.02469v22024
Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions
Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency
cs.LGcs.AIcs.CLarXiv:2209.03430v22022
Jasper: An End-to-End Convolutional Neural Acoustic Model
Jason Li, Vitaly Lavrukhin, Boris Ginsburg +5
eess.AScs.CLcs.LGarXiv:1904.03288v32019
Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention
Hideyuki Tachibana, Katsuya Uenoyama, Shunsuke Aihara
cs.SDcs.AIcs.LGarXiv:1710.08969v22017
Relational Pooling for Graph Representations
Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak Rao +1
cs.LGstat.MLarXiv:1903.02541v22019
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
Tuomas Haarnoja, Ben Moran, Guy Lever +25
cs.ROcs.AIcs.LGarXiv:2304.13653v22023
Conditional Image Generation with Score-Based Diffusion Models
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb +1
cs.LGcs.CVstat.MLarXiv:2111.13606v12021
Ridge Regression, Hubness, and Zero-Shot Learning
Yutaro Shigeto, Ikumi Suzuki, Kazuo Hara +2
cs.LGstat.MLarXiv:1507.00825v12015
Reachability Analysis of Deep Neural Networks with Provable Guarantees
Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska
cs.LGcs.CVstat.MLarXiv:1805.02242v12018
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion
Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad +8
cs.LGcs.CLcs.SEarXiv:2310.11248v22023
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals
Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis +1
cs.CVcs.LGarXiv:2102.06191v32021
TweepFake: about Detecting Deepfake Tweets
Tiziano Fagni, Fabrizio Falchi, Margherita Gambini +2
cs.CLcs.LGarXiv:2008.00036v22020
Gated-Attention Architectures for Task-Oriented Language Grounding
Devendra Singh Chaplot, Kanthashree Mysore Sathyendra, Rama Kumar Pasumarthi +2
cs.LGcs.AIcs.CLarXiv:1706.07230v22017
Text-based Editing of Talking-head Video
Ohad Fried, Ayush Tewari, Michael Zollhöfer +7
cs.CVcs.GRcs.LGarXiv:1906.01524v12019
The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems
Spencer M. Richards, Felix Berkenkamp, Andreas Krause
eess.SYcs.LGcs.ROarXiv:1808.00924v22018
A Boundary Tilting Persepective on the Phenomenon of Adversarial Examples
Thomas Tanay, Lewis Griffin
cs.LGstat.MLarXiv:1608.07690v12016
AutoGAN: Neural Architecture Search for Generative Adversarial Networks
Xinyu Gong, Shiyu Chang, Yifan Jiang +1
cs.CVcs.LGeess.IVarXiv:1908.03835v12019
AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networks
Hao Tang, Hong Liu, Dan Xu +2
cs.CVcs.LGeess.IVarXiv:1911.11897v52019
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
Tim Dockhorn, Arash Vahdat, Karsten Kreis
stat.MLcs.LGarXiv:2112.07068v42021
Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers
Kaidi Xu, Huan Zhang, Shiqi Wang +4
cs.AIcs.LGarXiv:2011.13824v22020
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering
Yanlin Feng, Xinyue Chen, Bill Yuchen Lin +3
cs.CLcs.LGarXiv:2005.00646v22020
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
Ignavier Ng, AmirEmad Ghassami, Kun Zhang
cs.LGstat.MLarXiv:2006.10201v32020
Pre-Training with Whole Word Masking for Chinese BERT
Yiming Cui, Wanxiang Che, Ting Liu +2
cs.CLcs.LGarXiv:1906.08101v32019
Hyperparameter Importance Across Datasets
J. N. van Rijn, F. Hutter
stat.MLcs.LGarXiv:1710.04725v22017
A review on distance based time series classification
Amaia Abanda, Usue Mori, Jose A. Lozano
stat.MLcs.LGarXiv:1806.04509v12018
End-to-End Robotic Reinforcement Learning without Reward Engineering
Avi Singh, Larry Yang, Kristian Hartikainen +2
cs.LGcs.CVcs.ROarXiv:1904.07854v22019

Machine Learning

Towards Understanding Grokking: An Effective Theory of Representation Learning

Inductive Matrix Completion Based on Graph Neural Networks

Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning

Double Graph Based Reasoning for Document-level Relation Extraction

What Can Neural Networks Reason About?

Geometric Latent Diffusion Models for 3D Molecule Generation

Training Neural Networks with Fixed Sparse Masks

Benchmarking Simulation-Based Inference

Neural Symbolic Regression that Scales

A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions

VERSE: Versatile Graph Embeddings from Similarity Measures

Adversarial Examples that Fool both Computer Vision and Time-Limited Humans

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals

Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search

What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction

Var-CNN: A Data-Efficient Website Fingerprinting Attack Based on Deep Learning

Zero-Shot Entity Linking by Reading Entity Descriptions

Differentiable Causal Discovery from Interventional Data

Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning

Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model

Multi-task Neural Networks for QSAR Predictions

Deep Bidirectional Language-Knowledge Graph Pretraining

PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers

Deep $k$-Means: Jointly clustering with $k$-Means and learning representations

RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records

Transfer Learning for Non-Intrusive Load Monitoring

Transformers Learn Shortcuts to Automata

Deep Convolutional Networks as shallow Gaussian Processes

Meta-GNN: On Few-shot Node Classification in Graph Meta-learning

Stronger Data Poisoning Attacks Break Data Sanitization Defenses

What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study

Riemannian Score-Based Generative Modelling

Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks using an Incompetent Teacher

Vision-Language Models for Medical Report Generation and Visual Question Answering: A Review

Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions

Jasper: An End-to-End Convolutional Neural Acoustic Model

Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention

Relational Pooling for Graph Representations

Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning

Conditional Image Generation with Score-Based Diffusion Models

Ridge Regression, Hubness, and Zero-Shot Learning

Reachability Analysis of Deep Neural Networks with Provable Guarantees

CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion

Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals

TweepFake: about Detecting Deepfake Tweets

Gated-Attention Architectures for Task-Oriented Language Grounding

Text-based Editing of Talking-head Video

The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems

A Boundary Tilting Persepective on the Phenomenon of Adversarial Examples

AutoGAN: Neural Architecture Search for Generative Adversarial Networks

AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networks

Score-Based Generative Modeling with Critically-Damped Langevin Diffusion

Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers

Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering

On the Role of Sparsity and DAG Constraints for Learning Linear DAGs

Pre-Training with Whole Word Masking for Chinese BERT

Hyperparameter Importance Across Datasets

A review on distance based time series classification

End-to-End Robotic Reinforcement Learning without Reward Engineering