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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1,861 to 1,920 of 20,193

Backdoor Pre-trained Models Can Transfer to All
Lujia Shen, Shouling Ji, Xuhong Zhang +6
cs.CLcs.CRcs.LGarXiv:2111.00197v12021
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization
Xiangyi Chen, Sijia Liu, Kaidi Xu +4
cs.LGmath.OCstat.MLarXiv:1910.06513v22019
Complicated Table Structure Recognition
Zewen Chi, Heyan Huang, Heng-Da Xu +3
cs.IRcs.LGarXiv:1908.04729v22019
Stochastic Optimization for Performative Prediction
Celestine Mendler-Dünner, Juan C. Perdomo, Tijana Zrnic +1
cs.LGcs.GTstat.MLarXiv:2006.06887v42020
A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence
Changhao Chen, Bing Wang, Chris Xiaoxuan Lu +2
cs.CVcs.LGcs.ROarXiv:2006.12567v22020
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning
Hanbin Zhao, Yongjian Fu, Mintong Kang +3
cs.CVcs.LGarXiv:2006.15524v42020
Applications of Federated Learning in Smart Cities: Recent Advances, Taxonomy, and Open Challenges
Zhaohua Zheng, Yize Zhou, Yilong Sun +3
cs.LGcs.CRarXiv:2102.01375v22021
LoRAS: An oversampling approach for imbalanced datasets
Saptarshi Bej, Narek Davtyan, Markus Wolfien +2
cs.LGstat.MLarXiv:1908.08346v42019
Prodigy: An Expeditiously Adaptive Parameter-Free Learner
Konstantin Mishchenko, Aaron Defazio
cs.LGcs.AImath.OCarXiv:2306.06101v42023
A Hybrid Science-Guided Machine Learning Approach for Modeling and Optimizing Chemical Processes
Niket Sharma, Y. A. Liu
cs.LGarXiv:2112.01475v22021
Ensemble of Deep Convolutional Neural Networks for Automatic Pavement Crack Detection and Measurement
Zhun Fan, Chong Li, Ying Chen +4
cs.CVcs.LGeess.IVarXiv:2002.03241v12020
Variational Autoencoders for New Physics Mining at the Large Hadron Collider
Olmo Cerri, Thong Q. Nguyen, Maurizio Pierini +2
hep-excs.LGhep-pharXiv:1811.10276v32018
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation
Suraj Nair, Chelsea Finn
cs.LGcs.AIcs.CVarXiv:1909.05829v12019
Dynamic Graph Message Passing Networks
Li Zhang, Dan Xu, Anurag Arnab +1
cs.CVcs.LGarXiv:1908.06955v52019
Constructing Neural Network-Based Models for Simulating Dynamical Systems
Christian Møldrup Legaard, Thomas Schranz, Gerald Schweiger +6
cs.LGarXiv:2111.01495v22021
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure
Besmira Nushi, Ece Kamar, Eric Horvitz
cs.LGcs.AIcs.HCarXiv:1809.07424v12018
Investigating the Catastrophic Forgetting in Multimodal Large Language Models
Yuexiang Zhai, Shengbang Tong, Xiao Li +4
cs.CLcs.AIcs.LGarXiv:2309.10313v42023
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango
Aman Madaan, Amir Yazdanbakhsh
cs.CLcs.AIcs.LGarXiv:2209.07686v22022
Do We Really Need Deep Learning Models for Time Series Forecasting?
Shereen Elsayed, Daniela Thyssens, Ahmed Rashed +2
cs.LGstat.MLarXiv:2101.02118v22021
Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research
Krishna Murthy Jatavallabhula, Edward Smith, Jean-Francois Lafleche +6
cs.CVcs.LGcs.ROarXiv:1911.05063v22019
Yell At Your Robot: Improving On-the-Fly from Language Corrections
Lucy Xiaoyang Shi, Zheyuan Hu, Tony Z. Zhao +5
cs.ROcs.AIcs.LGarXiv:2403.12910v12024
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
Youngwoon Lee, Edward S. Hu, Zhengyu Yang +2
cs.ROcs.AIcs.CVarXiv:1911.07246v12019
3D UAV Trajectory and Data Collection Optimisation via Deep Reinforcement Learning
Khoi Khac Nguyen, Trung Q. Duong, Tan Do-Duy +2
eess.SPcs.AIcs.LGarXiv:2106.03129v12021
Optimum Statistical Estimation with Strategic Data Sources
Yang Cai, Constantinos Daskalakis, Christos H. Papadimitriou
stat.MLcs.GTcs.LGarXiv:1408.2539v22014
NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems
Filippo Vicentini, Damian Hofmann, Attila Szabó +8
quant-phcs.LGcs.MSarXiv:2112.10526v22021
Structured State Space Models for In-Context Reinforcement Learning
Chris Lu, Yannick Schroecker, Albert Gu +4
cs.LGarXiv:2303.03982v32023
Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers
Yi Tay, Mostafa Dehghani, Jinfeng Rao +7
cs.CLcs.AIcs.CVarXiv:2109.10686v22021
Training Language Models with Memory Augmentation
Zexuan Zhong, Tao Lei, Danqi Chen
cs.CLcs.LGarXiv:2205.12674v32022
Predicting Abnormal Returns From News Using Text Classification
Ronny Luss, Alexandre d'Aspremont
cs.LGcs.AIarXiv:0809.2792v32008
Multi-step Reinforcement Learning: A Unifying Algorithm
Kristopher De Asis, J. Fernando Hernandez-Garcia, G. Zacharias Holland +1
cs.AIcs.LGarXiv:1703.01327v22017
CubeNet: Equivariance to 3D Rotation and Translation
Daniel Worrall, Gabriel Brostow
cs.CVcs.AIcs.LGarXiv:1804.04458v12018
Federated Dropout -- A Simple Approach for Enabling Federated Learning on Resource Constrained Devices
Dingzhu Wen, Ki-Jun Jeon, Kaibin Huang
cs.LGcs.ITarXiv:2109.15258v32021
Feature-map-level Online Adversarial Knowledge Distillation
Inseop Chung, SeongUk Park, Jangho Kim +1
cs.LGcs.AIcs.CVarXiv:2002.01775v32020
A Second-Order Approach to Learning with Instance-Dependent Label Noise
Zhaowei Zhu, Tongliang Liu, Yang Liu
cs.LGcs.AIarXiv:2012.11854v22020
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting
Tung Nguyen, Rohan Shah, Hritik Bansal +6
physics.ao-phcs.AIcs.LGarXiv:2312.03876v22023
Measuring Forgetting of Memorized Training Examples
Matthew Jagielski, Om Thakkar, Florian Tramèr +8
cs.LGarXiv:2207.00099v22022
Why should we add early exits to neural networks?
Simone Scardapane, Michele Scarpiniti, Enzo Baccarelli +1
cs.NEcs.LGstat.MLarXiv:2004.12814v22020
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification
Zhuoning Yuan, Yan Yan, Milan Sonka +1
cs.LGcs.CVmath.OCarXiv:2012.03173v22020
The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
Pratyusha Sharma, Jordan T. Ash, Dipendra Misra
cs.LGcs.AIcs.CLarXiv:2312.13558v12023
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network
Haoyang Li, Xin Wang, Ziwei Zhang +1
cs.LGarXiv:2112.03806v22021
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction
Hongxu Chen, Hongzhi Yin, Xiangguo Sun +3
cs.SIcs.LGarXiv:2006.01963v12020
Data Augmentation for Enhancing EEG-based Emotion Recognition with Deep Generative Models
Yun Luo, Li-Zhen Zhu, Zi-Yu Wan +1
eess.SPcs.LGarXiv:2006.05331v22020
Voice2Series: Reprogramming Acoustic Models for Time Series Classification
Chao-Han Huck Yang, Yun-Yun Tsai, Pin-Yu Chen
cs.LGcs.AIcs.NEarXiv:2106.09296v32021
Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy
Debesh Jha, Sharib Ali, Krister Emanuelsen +9
physics.med-phcs.CVcs.LGarXiv:2011.08065v12020
DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference
Connor Holmes, Masahiro Tanaka, Michael Wyatt +8
cs.PFcs.LGarXiv:2401.08671v12024
Reinforcement Learning for Improving Agent Design
David Ha
cs.LGstat.MLarXiv:1810.03779v32018
Drug cell line interaction prediction
Pengfei Liu
q-bio.QMcs.LGstat.MLarXiv:1812.11178v12018
Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization
H. T. Kung, Bradley McDanel, Sai Qian Zhang
cs.LGcs.ARstat.MLarXiv:1811.04770v12018
Improved Embeddings with Easy Positive Triplet Mining
Hong Xuan, Abby Stylianou, Robert Pless
cs.CVcs.LGarXiv:1904.04370v22019
Semi-Implicit Graph Variational Auto-Encoders
Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield +3
cs.LGstat.MLarXiv:1908.07078v42019
BOCK : Bayesian Optimization with Cylindrical Kernels
ChangYong Oh, Efstratios Gavves, Max Welling
stat.MLcs.LGarXiv:1806.01619v22018
Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens
Lijie Fan, Tianhong Li, Siyang Qin +6
cs.CVcs.LGarXiv:2410.13863v12024
Neural Optimal Transport
Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev
cs.LGarXiv:2201.12220v32022
Learning Theory for Distribution Regression
Zoltan Szabo, Bharath Sriperumbudur, Barnabas Poczos +1
math.STcs.LGmath.FAarXiv:1411.2066v42014
CORL: Research-oriented Deep Offline Reinforcement Learning Library
Denis Tarasov, Alexander Nikulin, Dmitry Akimov +2
cs.LGcs.AIarXiv:2210.07105v42022
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models
Yarin Gal, Mark van der Wilk, Carl E. Rasmussen
stat.MLcs.LGarXiv:1402.1389v22014
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO
Katharina Eggensperger, Philipp Müller, Neeratyoy Mallik +6
cs.LGarXiv:2109.06716v32021
MGTBench: Benchmarking Machine-Generated Text Detection
Xinlei He, Xinyue Shen, Zeyuan Chen +2
cs.CRcs.LGarXiv:2303.14822v32023
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders
Min Shi, Fuxiao Liu, Shihao Wang +13
cs.CVcs.AIcs.LGarXiv:2408.15998v22024
Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training?
Sharif Abuadbba, Kyuyeon Kim, Minki Kim +5
cs.CRcs.LGcs.NEarXiv:2003.12365v12020

Machine Learning

Backdoor Pre-trained Models Can Transfer to All

ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization

Complicated Table Structure Recognition

Stochastic Optimization for Performative Prediction

A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence

MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning

Applications of Federated Learning in Smart Cities: Recent Advances, Taxonomy, and Open Challenges

LoRAS: An oversampling approach for imbalanced datasets

Prodigy: An Expeditiously Adaptive Parameter-Free Learner

A Hybrid Science-Guided Machine Learning Approach for Modeling and Optimizing Chemical Processes

Ensemble of Deep Convolutional Neural Networks for Automatic Pavement Crack Detection and Measurement

Variational Autoencoders for New Physics Mining at the Large Hadron Collider

Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation

Dynamic Graph Message Passing Networks

Constructing Neural Network-Based Models for Simulating Dynamical Systems

Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure

Investigating the Catastrophic Forgetting in Multimodal Large Language Models

Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango

Do We Really Need Deep Learning Models for Time Series Forecasting?

Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research

Yell At Your Robot: Improving On-the-Fly from Language Corrections

IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks

3D UAV Trajectory and Data Collection Optimisation via Deep Reinforcement Learning

Optimum Statistical Estimation with Strategic Data Sources

NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems

Structured State Space Models for In-Context Reinforcement Learning

Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers

Training Language Models with Memory Augmentation

Predicting Abnormal Returns From News Using Text Classification

Multi-step Reinforcement Learning: A Unifying Algorithm

CubeNet: Equivariance to 3D Rotation and Translation

Federated Dropout -- A Simple Approach for Enabling Federated Learning on Resource Constrained Devices

Feature-map-level Online Adversarial Knowledge Distillation

A Second-Order Approach to Learning with Instance-Dependent Label Noise

Scaling transformer neural networks for skillful and reliable medium-range weather forecasting

Measuring Forgetting of Memorized Training Examples

Why should we add early exits to neural networks?

Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification

The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction

OOD-GNN: Out-of-Distribution Generalized Graph Neural Network

Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction

Data Augmentation for Enhancing EEG-based Emotion Recognition with Deep Generative Models

Voice2Series: Reprogramming Acoustic Models for Time Series Classification

Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy

DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference

Reinforcement Learning for Improving Agent Design

Drug cell line interaction prediction

Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization

Improved Embeddings with Easy Positive Triplet Mining

Semi-Implicit Graph Variational Auto-Encoders

BOCK : Bayesian Optimization with Cylindrical Kernels

Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens

Neural Optimal Transport

Learning Theory for Distribution Regression

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models

HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO

MGTBench: Benchmarking Machine-Generated Text Detection

Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders

Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training?