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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12,721 to 12,780 of 20,193

Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
cs.CLcs.LGstat.MLarXiv:2305.19187v32023
Deep Stable Learning for Out-Of-Distribution Generalization
Xingxuan Zhang, Peng Cui, Renzhe Xu +3
cs.LGcs.AIcs.CVarXiv:2104.07876v12021
Auditing Differentially Private Machine Learning: How Private is Private SGD?
Matthew Jagielski, Jonathan Ullman, Alina Oprea
cs.CRcs.LGarXiv:2006.07709v12020
Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection
Zhenguang Liu, Peng Qian, Xiaoyang Wang +3
cs.CRcs.LGcs.PLarXiv:2107.11598v12021
Loss Functions and Metrics in Deep Learning
Juan Terven, Diana M. Cordova-Esparza, Alfonso Ramirez-Pedraza +2
cs.LGcs.AIcs.CVarXiv:2307.02694v52023
Memory-based control with recurrent neural networks
Nicolas Heess, Jonathan J Hunt, Timothy P Lillicrap +1
cs.LGarXiv:1512.04455v12015
DeepPrivacy: A Generative Adversarial Network for Face Anonymization
Håkon Hukkelås, Rudolf Mester, Frank Lindseth
cs.CVcs.AIcs.LGarXiv:1909.04538v12019
Federated Learning for Emoji Prediction in a Mobile Keyboard
Swaroop Ramaswamy, Rajiv Mathews, Kanishka Rao +1
cs.CLcs.LGarXiv:1906.04329v12019
DART: Noise Injection for Robust Imitation Learning
Michael Laskey, Jonathan Lee, Roy Fox +2
cs.LGarXiv:1703.09327v22017
Explainability Techniques for Graph Convolutional Networks
Federico Baldassarre, Hossein Azizpour
cs.LGcs.AIstat.MLarXiv:1905.13686v12019
Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction
Hyeonwoo Noh, Paul Hongsuck Seo, Bohyung Han
cs.CVcs.CLcs.LGarXiv:1511.05756v12015
Gradient-based Adversarial Attacks against Text Transformers
Chuan Guo, Alexandre Sablayrolles, Hervé Jégou +1
cs.CLcs.AIcs.CRarXiv:2104.13733v12021
AFlow: Automating Agentic Workflow Generation
Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu +11
cs.AIcs.CLcs.LGarXiv:2410.10762v42024
Machine Learning and Deep Learning Algorithms for Bearing Fault Diagnostics -- A Comprehensive Review
Shen Zhang, Shibo Zhang, Bingnan Wang +1
cs.LGstat.MLarXiv:1901.08247v32019
Simulation of hyperelastic materials in real-time using Deep Learning
Andrea Mendizabal, Pablo Márquez-Neila, Stéphane Cotin
cs.CEcs.LGphysics.comp-pharXiv:1904.06197v22019
Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement
Wouter Kool, Herke van Hoof, Max Welling
cs.LGstat.MLarXiv:1903.06059v22019
Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG via Block Sparse Bayesian Learning
Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig +1
stat.MLcs.LGstat.AParXiv:1205.1287v72012
SPoC: Search-based Pseudocode to Code
Sumith Kulal, Panupong Pasupat, Kartik Chandra +4
cs.LGcs.CLcs.PLarXiv:1906.04908v12019
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks
Chengshu Li, Fei Xia, Roberto Martín-Martín +13
cs.ROcs.AIcs.CVarXiv:2108.03272v42021
The Vendi Score: A Diversity Evaluation Metric for Machine Learning
Dan Friedman, Adji Bousso Dieng
cs.LGcond-mat.mtrl-scistat.MLarXiv:2210.02410v22022
Unsupervised Point Cloud Pre-Training via Occlusion Completion
Hanchen Wang, Qi Liu, Xiangyu Yue +2
cs.CVcs.LGarXiv:2010.01089v32020
Large Language Model Unlearning
Yuanshun Yao, Xiaojun Xu, Yang Liu
cs.CLcs.AIcs.LGarXiv:2310.10683v22023
Automating biomedical data science through tree-based pipeline optimization
Randal S. Olson, Ryan J. Urbanowicz, Peter C. Andrews +3
cs.LGcs.NEarXiv:1601.07925v12016
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar, Ajmal Mian, Navid Kardan +1
cs.CVcs.CRcs.CYarXiv:2108.00401v22021
Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kernel
Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada +2
cs.LGstat.MLarXiv:1908.11775v42019
Proving the Lottery Ticket Hypothesis: Pruning is All You Need
Eran Malach, Gilad Yehudai, Shai Shalev-Shwartz +1
cs.LGstat.MLarXiv:2002.00585v12020
Embedding Logical Queries on Knowledge Graphs
William L. Hamilton, Payal Bajaj, Marinka Zitnik +2
cs.SIcs.LGstat.MLarXiv:1806.01445v42018
Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models
Alex Tamkin, Miles Brundage, Jack Clark +1
cs.CLcs.LGarXiv:2102.02503v12021
A Character-Level Decoder without Explicit Segmentation for Neural Machine Translation
Junyoung Chung, Kyunghyun Cho, Yoshua Bengio
cs.CLcs.LGarXiv:1603.06147v42016
The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning
Siyuan Ma, Raef Bassily, Mikhail Belkin
cs.LGstat.MLarXiv:1712.06559v32017
Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation
Ashvin Nair, Dian Chen, Pulkit Agrawal +4
cs.CVcs.LGcs.ROarXiv:1703.02018v12017
Learning mixtures of spherical Gaussians: moment methods and spectral decompositions
Daniel Hsu, Sham M. Kakade
cs.LGstat.MLarXiv:1206.5766v42012
Paris-Lille-3D: a large and high-quality ground truth urban point cloud dataset for automatic segmentation and classification
Xavier Roynard, Jean-Emmanuel Deschaud, François Goulette
cs.LGcs.CVstat.MLarXiv:1712.00032v22017
Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees
Yudong Chen, Martin J. Wainwright
math.STcs.LGstat.MLarXiv:1509.03025v12015
Simple random search provides a competitive approach to reinforcement learning
Horia Mania, Aurelia Guy, Benjamin Recht
cs.LGcs.AImath.OCarXiv:1803.07055v12018
Nonconvex Nonsmooth Low-Rank Minimization via Iteratively Reweighted Nuclear Norm
Canyi Lu, Jinhui Tang, Shuicheng Yan +1
cs.LGcs.CVmath.NAarXiv:1510.06895v12015
Deep Structural Causal Models for Tractable Counterfactual Inference
Nick Pawlowski, Daniel C. Castro, Ben Glocker
stat.MLcs.LGarXiv:2006.06485v22020
Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition
Yu Zhang, James Qin, Daniel S. Park +5
eess.AScs.LGcs.SDarXiv:2010.10504v22020
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
Fanxu Meng, Zhaohui Wang, Muhan Zhang
cs.LGcs.AIarXiv:2404.02948v42024
Uncertainty-Aware Reinforcement Learning for Collision Avoidance
Gregory Kahn, Adam Villaflor, Vitchyr Pong +2
cs.LGcs.ROarXiv:1702.01182v12017
Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks
Li Shen, Zhouchen Lin, Qingming Huang
cs.CVcs.LGarXiv:1512.05830v22015
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond
Amir Feder, Katherine A. Keith, Emaad Manzoor +10
cs.CLcs.LGarXiv:2109.00725v22021
Legged Locomotion in Challenging Terrains using Egocentric Vision
Ananye Agarwal, Ashish Kumar, Jitendra Malik +1
cs.ROcs.AIcs.CVarXiv:2211.07638v12022
Pre-Trained Language Models for Interactive Decision-Making
Shuang Li, Xavier Puig, Chris Paxton +11
cs.LGcs.CLarXiv:2202.01771v42022
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective
Kun Yi, Qi Zhang, Wei Fan +6
cs.LGcs.AIarXiv:2311.06190v12023
Autoformalization with Large Language Models
Yuhuai Wu, Albert Q. Jiang, Wenda Li +4
cs.LGcs.AIcs.LOarXiv:2205.12615v12022
Certifying LLM Safety against Adversarial Prompting
Aounon Kumar, Chirag Agarwal, Suraj Srinivas +3
cs.CLcs.AIcs.CRarXiv:2309.02705v42023
Dynamic Backdoor Attacks Against Machine Learning Models
Ahmed Salem, Rui Wen, Michael Backes +2
cs.CRcs.LGstat.MLarXiv:2003.03675v22020
Outlier Detection Using Nonconvex Penalized Regression
Yiyuan She, Art B. Owen
stat.MEcs.LGstat.COarXiv:1006.2592v32010
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks
Yulong Cao*, Ningfei Wang*, Chaowei Xiao* +6
cs.CRcs.CVcs.LGarXiv:2106.09249v12021
FairFed: Enabling Group Fairness in Federated Learning
Yahya H. Ezzeldin, Shen Yan, Chaoyang He +2
cs.LGcs.CYarXiv:2110.00857v32021
Large-Scale Representation Learning on Graphs via Bootstrapping
Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar +5
cs.LGcs.SIstat.MLarXiv:2102.06514v32021
RDD2022: A multi-national image dataset for automatic Road Damage Detection
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh +2
cs.CVcs.AIcs.LGarXiv:2209.08538v12022
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation
Diederik P. Kingma, Ruiqi Gao
cs.LGcs.AIstat.MLarXiv:2303.00848v72023
COIN: COmpression with Implicit Neural representations
Emilien Dupont, Adam Goliński, Milad Alizadeh +2
eess.IVcs.CVcs.LGarXiv:2103.03123v22021
ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks
Kunal Sankhe, Mauro Belgiovine, Fan Zhou +3
eess.SPcs.LGarXiv:1812.01124v12018
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning
Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Valenzano +1
cs.LGcs.AIarXiv:2010.03950v22020
Pixel-Adaptive Convolutional Neural Networks
Hang Su, Varun Jampani, Deqing Sun +3
cs.CVcs.GRcs.LGarXiv:1904.05373v12019
Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift
Zachary Nado, Shreyas Padhy, D. Sculley +3
cs.LGstat.MLarXiv:2006.10963v32020
Distribution-Free, Risk-Controlling Prediction Sets
Stephen Bates, Anastasios Angelopoulos, Lihua Lei +2
cs.LGcs.AIcs.CVarXiv:2101.02703v32021

Machine Learning

Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models

Deep Stable Learning for Out-Of-Distribution Generalization

Auditing Differentially Private Machine Learning: How Private is Private SGD?

Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection

Loss Functions and Metrics in Deep Learning

Memory-based control with recurrent neural networks

DeepPrivacy: A Generative Adversarial Network for Face Anonymization

Federated Learning for Emoji Prediction in a Mobile Keyboard

DART: Noise Injection for Robust Imitation Learning

Explainability Techniques for Graph Convolutional Networks

Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction

Gradient-based Adversarial Attacks against Text Transformers

AFlow: Automating Agentic Workflow Generation

Machine Learning and Deep Learning Algorithms for Bearing Fault Diagnostics -- A Comprehensive Review

Simulation of hyperelastic materials in real-time using Deep Learning

Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement

Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG via Block Sparse Bayesian Learning

SPoC: Search-based Pseudocode to Code

iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks

The Vendi Score: A Diversity Evaluation Metric for Machine Learning

Unsupervised Point Cloud Pre-Training via Occlusion Completion

Large Language Model Unlearning

Automating biomedical data science through tree-based pipeline optimization

Advances in adversarial attacks and defenses in computer vision: A survey

Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kernel

Proving the Lottery Ticket Hypothesis: Pruning is All You Need

Embedding Logical Queries on Knowledge Graphs

Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models

A Character-Level Decoder without Explicit Segmentation for Neural Machine Translation

The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning

Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation

Learning mixtures of spherical Gaussians: moment methods and spectral decompositions

Paris-Lille-3D: a large and high-quality ground truth urban point cloud dataset for automatic segmentation and classification

Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees

Simple random search provides a competitive approach to reinforcement learning

Nonconvex Nonsmooth Low-Rank Minimization via Iteratively Reweighted Nuclear Norm

Deep Structural Causal Models for Tractable Counterfactual Inference

Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition

PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models

Uncertainty-Aware Reinforcement Learning for Collision Avoidance

Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks

Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond

Legged Locomotion in Challenging Terrains using Egocentric Vision

Pre-Trained Language Models for Interactive Decision-Making

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective

Autoformalization with Large Language Models

Certifying LLM Safety against Adversarial Prompting

Dynamic Backdoor Attacks Against Machine Learning Models

Outlier Detection Using Nonconvex Penalized Regression

Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks

FairFed: Enabling Group Fairness in Federated Learning

Large-Scale Representation Learning on Graphs via Bootstrapping

RDD2022: A multi-national image dataset for automatic Road Damage Detection

Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation

COIN: COmpression with Implicit Neural representations

ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks

Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning

Pixel-Adaptive Convolutional Neural Networks

Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Distribution-Free, Risk-Controlling Prediction Sets