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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14,581 to 14,640 of 20,219

Choose a Transformer: Fourier or Galerkin
Shuhao Cao
cs.LGmath.NAarXiv:2105.14995v42021
SpinQuant: LLM quantization with learned rotations
Zechun Liu, Changsheng Zhao, Igor Fedorov +6
cs.LGcs.AIcs.CLarXiv:2405.16406v42024
Dynamic Graph Convolutional Networks
Franco Manessi, Alessandro Rozza, Mario Manzo
cs.LGstat.MLarXiv:1704.06199v12017
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting
Rajat Sen, Hsiang-Fu Yu, Inderjit Dhillon
stat.MLcs.LGarXiv:1905.03806v22019
Algorithmic Recourse: from Counterfactual Explanations to Interventions
Amir-Hossein Karimi, Bernhard Schölkopf, Isabel Valera
cs.LGcs.AIstat.MLarXiv:2002.06278v42020
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples
Jinyuan Jia, Ahmed Salem, Michael Backes +2
cs.CRcs.LGarXiv:1909.10594v32019
Evaluation of Deep Convolutional Nets for Document Image Classification and Retrieval
Adam W. Harley, Alex Ufkes, Konstantinos G. Derpanis
cs.CVcs.IRcs.LGarXiv:1502.07058v12015
Message Passing Neural PDE Solvers
Johannes Brandstetter, Daniel Worrall, Max Welling
cs.LGcs.CVmath.NAarXiv:2202.03376v32022
Verified Uncertainty Calibration
Ananya Kumar, Percy Liang, Tengyu Ma
cs.LGstat.MLarXiv:1909.10155v22019
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang +7
cs.LGcs.CLarXiv:2308.13137v32023
Lazier Than Lazy Greedy
Baharan Mirzasoleiman, Ashwinkumar Badanidiyuru, Amin Karbasi +2
cs.LGcs.DScs.IRarXiv:1409.7938v32014
GameWAM: A World Action Model for Video Games
Yuncheng Guo, Zhanqiu Zhang, Yiwen Guo +1
cs.AIcs.CVcs.LGarXiv:2608.26200v12026
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi
cs.LGmath.DSstat.MLarXiv:1710.04340v22017
Time-to-Event Prediction with Neural Networks and Cox Regression
Håvard Kvamme, Ørnulf Borgan, Ida Scheel
stat.MLcs.LGarXiv:1907.00825v22019
Deep Anomaly Detection with Deviation Networks
Guansong Pang, Chunhua Shen, Anton van den Hengel
cs.LGstat.MLarXiv:1911.08623v12019
Hyperspherical Variational Auto-Encoders
Tim R. Davidson, Luca Falorsi, Nicola De Cao +2
stat.MLcs.LGarXiv:1804.00891v32018
Multimodal Intelligence: Representation Learning, Information Fusion, and Applications
Chao Zhang, Zichao Yang, Xiaodong He +1
cs.AIcs.CLcs.CVarXiv:1911.03977v32019
A Semi-supervised Graph Attentive Network for Financial Fraud Detection
Daixin Wang, Jianbin Lin, Peng Cui +7
cs.SIcs.CRcs.LGarXiv:2003.01171v12020
Deep Learning for Time-Series Analysis
John Cristian Borges Gamboa
cs.LGarXiv:1701.01887v12017
A Survey of the State of Explainable AI for Natural Language Processing
Marina Danilevsky, Kun Qian, Ranit Aharonov +3
cs.CLcs.AIcs.LGarXiv:2010.00711v12020
An Investigation into Neural Net Optimization via Hessian Eigenvalue Density
Behrooz Ghorbani, Shankar Krishnan, Ying Xiao
cs.LGstat.MLarXiv:1901.10159v12019
Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning
Zeyuan Allen-Zhu, Yuanzhi Li
cs.LGcs.NEmath.OCarXiv:2012.09816v32020
The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink
David Patterson, Joseph Gonzalez, Urs Hölzle +7
cs.LGcs.AIcs.GLarXiv:2204.05149v12022
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
Cong Zhang, Wen Song, Zhiguang Cao +3
cs.LGcs.AIstat.MLarXiv:2010.12367v12020
Aligning Text-to-Image Models using Human Feedback
Kimin Lee, Hao Liu, Moonkyung Ryu +6
cs.LGcs.AIcs.CVarXiv:2302.12192v12023
Federated Meta-Learning with Fast Convergence and Efficient Communication
Fei Chen, Mi Luo, Zhenhua Dong +2
cs.LGcs.IRarXiv:1802.07876v22018
hoBIT: A Profile-Aware Retrieval-Augmented Chatbot for University Academic Advising
Yoonseo Kim, Seongmin Lee, Joongheon Kim +1
cs.IRcs.LGarXiv:2608.26604v12026
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Taco S. Cohen, Maurice Weiler, Berkay Kicanaoglu +1
cs.LGcs.CVcs.NEarXiv:1902.04615v32019
DeepGO: Predicting protein functions from sequence and interactions using a deep ontology-aware classifier
Maxat Kulmanov, Mohammed Asif Khan, Robert Hoehndorf
q-bio.GNcs.LGq-bio.QMarXiv:1705.05919v12017
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning
Zhenda Xie, Yutong Lin, Zheng Zhang +3
cs.CVcs.LGarXiv:2011.10043v22020
Stochastic Adversarial Video Prediction
Alex X. Lee, Richard Zhang, Frederik Ebert +3
cs.CVcs.AIcs.LGarXiv:1804.01523v12018
What Are Bayesian Neural Network Posteriors Really Like?
Pavel Izmailov, Sharad Vikram, Matthew D. Hoffman +1
cs.LGstat.MLarXiv:2104.14421v12021
Video (language) modeling: a baseline for generative models of natural videos
MarcAurelio Ranzato, Arthur Szlam, Joan Bruna +3
cs.LGcs.CVarXiv:1412.6604v52014
Secure and Robust Machine Learning for Healthcare: A Survey
Adnan Qayyum, Junaid Qadir, Muhammad Bilal +1
cs.LGeess.IVstat.MLarXiv:2001.08103v12020
Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents
Yashar Talebirad, Amirhossein Nadiri
cs.AIcs.LGcs.MAarXiv:2306.03314v12023
Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge
Andy Zeng, Kuan-Ting Yu, Shuran Song +4
cs.CVcs.LGcs.ROarXiv:1609.09475v32016
Inductive Biases for Deep Learning of Higher-Level Cognition
Anirudh Goyal, Yoshua Bengio
cs.LGcs.AIstat.MLarXiv:2011.15091v42020
Visualizing and Measuring the Geometry of BERT
Andy Coenen, Emily Reif, Ann Yuan +4
cs.LGcs.CLstat.MLarXiv:1906.02715v22019
Token-Level Advertising
Hanbing Liu, Bowei Zhang, Changyuan Yu +2
cs.GTcs.LGarXiv:2608.27382v12026
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions
Divya Saxena, Jiannong Cao
cs.LGeess.IVstat.MLarXiv:2005.00065v42020
Machine Learning Advances for Time Series Forecasting
Ricardo P. Masini, Marcelo C. Medeiros, Eduardo F. Mendes
econ.EMcs.LGstat.AParXiv:2012.12802v32020
Programming Is Hard -- Or at Least It Used to Be: Educational Opportunities And Challenges of AI Code Generation
Brett A. Becker, Paul Denny, James Finnie-Ansley +3
cs.HCcs.AIcs.CYarXiv:2212.01020v12022
Deep Dynamics Models for Learning Dexterous Manipulation
Anusha Nagabandi, Kurt Konoglie, Sergey Levine +1
cs.ROcs.LGarXiv:1909.11652v12019
Stabilizing Training of Generative Adversarial Networks through Regularization
Kevin Roth, Aurelien Lucchi, Sebastian Nowozin +1
cs.LGstat.MLarXiv:1705.09367v22017
Liquid Time-constant Networks
Ramin Hasani, Mathias Lechner, Alexander Amini +2
cs.LGcs.NEstat.MLarXiv:2006.04439v42020
Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization
Muhammad Ghifary, David Balduzzi, W. Bastiaan Kleijn +1
cs.CVcs.AIcs.LGarXiv:1510.04373v22015
Stochastic model-based minimization of weakly convex functions
Damek Davis, Dmitriy Drusvyatskiy
math.OCcs.LGarXiv:1803.06523v32018
Gradient Projection Memory for Continual Learning
Gobinda Saha, Isha Garg, Kaushik Roy
cs.LGcs.CVarXiv:2103.09762v12021
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu, Hanchen Wang, Weiyang Liu +3
cs.LGcs.CVeess.IVarXiv:2110.07728v22021
Span-based Joint Entity and Relation Extraction with Transformer Pre-training
Markus Eberts, Adrian Ulges
cs.CLcs.LGarXiv:1909.07755v42019
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
Frederik Ebert, Chelsea Finn, Sudeep Dasari +3
cs.ROcs.AIcs.CVarXiv:1812.00568v12018
Federated Ensemble Forecasting Under Supply-Chain Market Volatility
Shunmukha Sagar Puppala
cs.LGarXiv:2608.21399v12026
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results
Xiaoxiao Li, Yufeng Gu, Nicha Dvornek +3
cs.LGeess.IVarXiv:2001.05647v32020
Transformer Accelerator (TFA): A Macro-Op INT8 Hardware Chip for Transformer Inference and Machine Translation
Shashank
cs.ARcs.CLcs.LGarXiv:2608.23582v12026
Model Reduction and Neural Networks for Parametric PDEs
Kaushik Bhattacharya, Bamdad Hosseini, Nikola B. Kovachki +1
math.NAcs.LGstat.MLarXiv:2005.03180v22020
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Adam Stooke, Joshua Achiam, Pieter Abbeel
math.OCcs.AIcs.LGarXiv:2007.03964v12020
Federated Learning with Buffered Asynchronous Aggregation
John Nguyen, Kshitiz Malik, Hongyuan Zhan +4
cs.LGarXiv:2106.06639v42021
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids
Yunzhu Li, Jiajun Wu, Russ Tedrake +2
cs.LGcs.AIcs.ROarXiv:1810.01566v22018
Kubric: A scalable dataset generator
Klaus Greff, Francois Belletti, Lucas Beyer +32
cs.CVcs.GRcs.LGarXiv:2203.03570v12022
CyrillicQA: The Influence of Phonetically Encoded Secret Language on LLM Performance
Erik Thureck
cs.CLcs.AIcs.LGarXiv:2608.21462v12026

Machine Learning

Choose a Transformer: Fourier or Galerkin

SpinQuant: LLM quantization with learned rotations

Dynamic Graph Convolutional Networks

Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting

Algorithmic Recourse: from Counterfactual Explanations to Interventions

MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples

Evaluation of Deep Convolutional Nets for Document Image Classification and Retrieval

Message Passing Neural PDE Solvers

Verified Uncertainty Calibration

OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models

Lazier Than Lazy Greedy

GameWAM: A World Action Model for Video Games

Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition

Time-to-Event Prediction with Neural Networks and Cox Regression

Deep Anomaly Detection with Deviation Networks

Hyperspherical Variational Auto-Encoders

Multimodal Intelligence: Representation Learning, Information Fusion, and Applications

A Semi-supervised Graph Attentive Network for Financial Fraud Detection

Deep Learning for Time-Series Analysis

A Survey of the State of Explainable AI for Natural Language Processing

An Investigation into Neural Net Optimization via Hessian Eigenvalue Density

Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning

The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink

Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning

Aligning Text-to-Image Models using Human Feedback

Federated Meta-Learning with Fast Convergence and Efficient Communication

hoBIT: A Profile-Aware Retrieval-Augmented Chatbot for University Academic Advising

Gauge Equivariant Convolutional Networks and the Icosahedral CNN

DeepGO: Predicting protein functions from sequence and interactions using a deep ontology-aware classifier

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning

Stochastic Adversarial Video Prediction

What Are Bayesian Neural Network Posteriors Really Like?

Video (language) modeling: a baseline for generative models of natural videos

Secure and Robust Machine Learning for Healthcare: A Survey

Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents

Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge

Inductive Biases for Deep Learning of Higher-Level Cognition

Visualizing and Measuring the Geometry of BERT

Token-Level Advertising

Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions

Machine Learning Advances for Time Series Forecasting

Programming Is Hard -- Or at Least It Used to Be: Educational Opportunities And Challenges of AI Code Generation

Deep Dynamics Models for Learning Dexterous Manipulation

Stabilizing Training of Generative Adversarial Networks through Regularization

Liquid Time-constant Networks

Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization

Stochastic model-based minimization of weakly convex functions

Gradient Projection Memory for Continual Learning

Pre-training Molecular Graph Representation with 3D Geometry

Span-based Joint Entity and Relation Extraction with Transformer Pre-training

Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control

Federated Ensemble Forecasting Under Supply-Chain Market Volatility

Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results

Transformer Accelerator (TFA): A Macro-Op INT8 Hardware Chip for Transformer Inference and Machine Translation

Model Reduction and Neural Networks for Parametric PDEs

Responsive Safety in Reinforcement Learning by PID Lagrangian Methods

Federated Learning with Buffered Asynchronous Aggregation

Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids

Kubric: A scalable dataset generator

CyrillicQA: The Influence of Phonetically Encoded Secret Language on LLM Performance