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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13,021 to 13,080 of 20,193

Dilated Recurrent Neural Networks
Shiyu Chang, Yang Zhang, Wei Han +7
cs.AIcs.LGarXiv:1710.02224v32017
Emu Edit: Precise Image Editing via Recognition and Generation Tasks
Shelly Sheynin, Adam Polyak, Uriel Singer +5
cs.CVcs.AIcs.LGarXiv:2311.10089v12023
German's Next Language Model
Branden Chan, Stefan Schweter, Timo Möller
cs.CLcs.LGarXiv:2010.10906v42020
Online Batch Selection for Faster Training of Neural Networks
Ilya Loshchilov, Frank Hutter
cs.LGcs.NEmath.OCarXiv:1511.06343v42015
Learning protein sequence embeddings using information from structure
Tristan Bepler, Bonnie Berger
cs.LGq-bio.BMstat.MLarXiv:1902.08661v22019
L2 Regularization versus Batch and Weight Normalization
Twan van Laarhoven
cs.LGstat.MLarXiv:1706.05350v12017
Empower Sequence Labeling with Task-Aware Neural Language Model
Liyuan Liu, Jingbo Shang, Frank F. Xu +4
cs.CLcs.LGarXiv:1709.04109v42017
GEOM: Energy-annotated molecular conformations for property prediction and molecular generation
Simon Axelrod, Rafael Gomez-Bombarelli
physics.comp-phcs.LGarXiv:2006.05531v42020
Post-hoc Concept Bottleneck Models
Mert Yuksekgonul, Maggie Wang, James Zou
cs.LGcs.AIstat.MLarXiv:2205.15480v22022
A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks
Sanjeev Arora, Nadav Cohen, Noah Golowich +1
cs.LGcs.NEstat.MLarXiv:1810.02281v32018
When Machine Learning Meets Privacy: A Survey and Outlook
Bo Liu, Ming Ding, Sina Shaham +3
cs.LGcs.AIcs.CRarXiv:2011.11819v12020
A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems
Meng Tang, Yimin Liu, Louis J. Durlofsky
cs.LGphysics.comp-phstat.MLarXiv:1908.05823v12019
Constrained Bayesian Optimization with Noisy Experiments
Benjamin Letham, Brian Karrer, Guilherme Ottoni +1
stat.MLcs.LGstat.AParXiv:1706.07094v22017
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals
Yuxin Zhang, Yiqiang Chen, Jindong Wang +1
cs.AIcs.LGeess.SParXiv:2107.12626v22021
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez +7
cs.CLcs.AIcs.LGarXiv:2409.12183v32024
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
Ritchie Zhao, Yuwei Hu, Jordan Dotzel +2
cs.LGstat.MLarXiv:1901.09504v32019
Robust Large Margin Deep Neural Networks
Jure Sokolic, Raja Giryes, Guillermo Sapiro +1
stat.MLcs.LGcs.NEarXiv:1605.08254v32016
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms
Dinghan Shen, Guoyin Wang, Wenlin Wang +6
cs.CLcs.AIcs.LGarXiv:1805.09843v12018
Value Prediction Network
Junhyuk Oh, Satinder Singh, Honglak Lee
cs.AIcs.LGarXiv:1707.03497v22017
Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
Yichao Fu, Peter Bailis, Ion Stoica +1
cs.LGcs.CLarXiv:2402.02057v12024
Automatic tagging using deep convolutional neural networks
Keunwoo Choi, George Fazekas, Mark Sandler
cs.SDcs.LGarXiv:1606.00298v12016
A Survey of Privacy Attacks in Machine Learning
Maria Rigaki, Sebastian Garcia
cs.CRcs.LGarXiv:2007.07646v32020
Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks
Yuyu Zhang, Hanjun Dai, Chang Xu +5
cs.IRcs.LGcs.NEarXiv:1404.5772v32014
Reinforcement Learning for Relation Classification from Noisy Data
Jun Feng, Minlie Huang, Li Zhao +2
cs.IRcs.LGstat.MLarXiv:1808.08013v12018
Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities
Jonas Köhler, Leon Klein, Frank Noé
stat.MLcs.LGphysics.chem-pharXiv:2006.02425v22020
Regularizing Class-wise Predictions via Self-knowledge Distillation
Sukmin Yun, Jongjin Park, Kimin Lee +1
cs.LGcs.CVstat.MLarXiv:2003.13964v22020
NLNL: Negative Learning for Noisy Labels
Youngdong Kim, Junho Yim, Juseung Yun +1
cs.LGarXiv:1908.07387v12019
Just Ask: Learning to Answer Questions from Millions of Narrated Videos
Antoine Yang, Antoine Miech, Josef Sivic +2
cs.CVcs.CLcs.LGarXiv:2012.00451v32020
The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants
Lucas Bandarkar, Davis Liang, Benjamin Muller +7
cs.CLcs.AIcs.LGarXiv:2308.16884v22023
SMILES Enumeration as Data Augmentation for Neural Network Modeling of Molecules
Esben Jannik Bjerrum
cs.LGarXiv:1703.07076v22017
Open Question Answering with Weakly Supervised Embedding Models
Antoine Bordes, Jason Weston, Nicolas Usunier
cs.CLcs.LGarXiv:1404.4326v12014
Domain-Adversarial Neural Networks
Hana Ajakan, Pascal Germain, Hugo Larochelle +2
stat.MLcs.LGcs.NEarXiv:1412.4446v22014
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy
Asit Mishra, Debbie Marr
cs.LGcs.CVcs.NEarXiv:1711.05852v12017
Structured Pruning of Large Language Models
Ziheng Wang, Jeremy Wohlwend, Tao Lei
cs.CLcs.LGstat.MLarXiv:1910.04732v22019
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning
Vladimir Feinberg, Alvin Wan, Ion Stoica +3
cs.LGcs.AIstat.MLarXiv:1803.00101v12018
Settling the Polynomial Learnability of Mixtures of Gaussians
Ankur Moitra, Gregory Valiant
cs.LGcs.DSarXiv:1004.4223v12010
Neural Cognitive Diagnosis for Intelligent Education Systems
Fei Wang, Qi Liu, Enhong Chen +5
cs.LGcs.CYstat.MLarXiv:1908.08733v32019
Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem
Brian L. Trippe, Jason Yim, Doug Tischer +4
q-bio.BMcs.LGstat.MLarXiv:2206.04119v22022
Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model
Jaideep Pathak, Alexander Wikner, Rebeckah Fussell +4
cs.LGnlin.CDstat.MLarXiv:1803.04779v12018
The Adverse Effects of Code Duplication in Machine Learning Models of Code
Miltiadis Allamanis
cs.SEcs.LGarXiv:1812.06469v62018
NeX: Real-time View Synthesis with Neural Basis Expansion
Suttisak Wizadwongsa, Pakkapon Phongthawee, Jiraphon Yenphraphai +1
cs.CVcs.GRcs.LGarXiv:2103.05606v22021
Pre-training of Graph Augmented Transformers for Medication Recommendation
Junyuan Shang, Tengfei Ma, Cao Xiao +1
cs.AIcs.CLcs.LGarXiv:1906.00346v22019
Adversarial Removal of Demographic Attributes from Text Data
Yanai Elazar, Yoav Goldberg
cs.CLcs.LGstat.MLarXiv:1808.06640v22018
Guided Image Generation with Conditional Invertible Neural Networks
Lynton Ardizzone, Carsten Lüth, Jakob Kruse +2
cs.CVcs.LGarXiv:1907.02392v32019
Long Range Graph Benchmark
Vijay Prakash Dwivedi, Ladislav Rampášek, Mikhail Galkin +4
cs.LGarXiv:2206.08164v42022
Remaining Useful Lifetime Prediction via Deep Domain Adaptation
Paulo R. de O. da Costa, Alp Akcay, Yingqian Zhang +1
cs.LGstat.MLarXiv:1907.07480v12019
Seeing What a GAN Cannot Generate
David Bau, Jun-Yan Zhu, Jonas Wulff +4
cs.CVcs.GRcs.LGarXiv:1910.11626v12019
Quant GANs: Deep Generation of Financial Time Series
Magnus Wiese, Robert Knobloch, Ralf Korn +1
q-fin.MFcs.LGq-fin.CParXiv:1907.06673v22019
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision
Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
cs.LGcs.CVstat.MLarXiv:1906.01620v32019
Generative Adversarial Active Learning for Unsupervised Outlier Detection
Yezheng Liu, Zhe Li, Chong Zhou +4
cs.LGstat.MLarXiv:1809.10816v42018
Parametric UMAP embeddings for representation and semi-supervised learning
Tim Sainburg, Leland McInnes, Timothy Q Gentner
cs.LGcs.CGq-bio.QMarXiv:2009.12981v42020
Contextual Bandit Algorithms with Supervised Learning Guarantees
Alina Beygelzimer, John Langford, Lihong Li +2
cs.LGarXiv:1002.4058v32010
Interpretable bilinear attention network with domain adaptation improves drug-target prediction
Peizhen Bai, Filip Miljković, Bino John +1
cs.LGq-bio.BMarXiv:2208.02194v22022
DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection
Yizheng Chen, Zhoujie Ding, Lamya Alowain +2
cs.CRcs.AIcs.LGarXiv:2304.00409v22023
Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks
Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen
cs.CLcs.LGarXiv:1703.06345v12017
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

Machine Learning

Dilated Recurrent Neural Networks

Emu Edit: Precise Image Editing via Recognition and Generation Tasks

German's Next Language Model

Online Batch Selection for Faster Training of Neural Networks

Learning protein sequence embeddings using information from structure

L2 Regularization versus Batch and Weight Normalization

Empower Sequence Labeling with Task-Aware Neural Language Model

GEOM: Energy-annotated molecular conformations for property prediction and molecular generation

Post-hoc Concept Bottleneck Models

A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks

When Machine Learning Meets Privacy: A Survey and Outlook

A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems

Constrained Bayesian Optimization with Noisy Experiments

Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals

To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Improving Neural Network Quantization without Retraining using Outlier Channel Splitting

Robust Large Margin Deep Neural Networks

Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms

Value Prediction Network

Break the Sequential Dependency of LLM Inference Using Lookahead Decoding

Automatic tagging using deep convolutional neural networks

A Survey of Privacy Attacks in Machine Learning

Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks

Reinforcement Learning for Relation Classification from Noisy Data

Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities

Regularizing Class-wise Predictions via Self-knowledge Distillation

NLNL: Negative Learning for Noisy Labels

Just Ask: Learning to Answer Questions from Millions of Narrated Videos

The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants

SMILES Enumeration as Data Augmentation for Neural Network Modeling of Molecules

Open Question Answering with Weakly Supervised Embedding Models

Domain-Adversarial Neural Networks

Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy

Structured Pruning of Large Language Models

Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning

Settling the Polynomial Learnability of Mixtures of Gaussians

Neural Cognitive Diagnosis for Intelligent Education Systems

Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model

The Adverse Effects of Code Duplication in Machine Learning Models of Code

NeX: Real-time View Synthesis with Neural Basis Expansion

Pre-training of Graph Augmented Transformers for Medication Recommendation

Adversarial Removal of Demographic Attributes from Text Data

Guided Image Generation with Conditional Invertible Neural Networks

Long Range Graph Benchmark

Remaining Useful Lifetime Prediction via Deep Domain Adaptation

Seeing What a GAN Cannot Generate

Quant GANs: Deep Generation of Financial Time Series

Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision

Generative Adversarial Active Learning for Unsupervised Outlier Detection

Parametric UMAP embeddings for representation and semi-supervised learning

Contextual Bandit Algorithms with Supervised Learning Guarantees

Interpretable bilinear attention network with domain adaptation improves drug-target prediction

DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection

Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks

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