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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12,241 to 12,300 of 20,193

Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks
Yujun Yan, Milad Hashemi, Kevin Swersky +2
cs.LGarXiv:2102.06462v82021
Titans: Learning to Memorize at Test Time
Ali Behrouz, Peilin Zhong, Vahab Mirrokni
cs.LGcs.AIcs.CLarXiv:2501.00663v12024
Federated Class-Incremental Learning
Jiahua Dong, Lixu Wang, Zhen Fang +4
cs.LGarXiv:2203.11473v12022
AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation
Paritosh Mittal, Yen-Chi Cheng, Maneesh Singh +1
cs.CVcs.LGarXiv:2203.09516v32022
Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice
Jeffrey Pennington, Samuel S. Schoenholz, Surya Ganguli
cs.LGstat.MLarXiv:1711.04735v12017
Towards Knowledge-Based Recommender Dialog System
Qibin Chen, Junyang Lin, Yichang Zhang +4
cs.CLcs.IRcs.LGarXiv:1908.05391v22019
Ablation Studies in Artificial Neural Networks
Richard Meyes, Melanie Lu, Constantin Waubert de Puiseau +1
cs.NEcs.LGq-bio.NCarXiv:1901.08644v22019
Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers
Abraham J. Wyner, Matthew Olson, Justin Bleich +1
stat.MLcs.LGstat.MEarXiv:1504.07676v22015
POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition
Stefania Fresca, Andrea Manzoni
math.NAcs.LGarXiv:2101.11845v12021
The relationship between trust in AI and trustworthy machine learning technologies
Ehsan Toreini, Mhairi Aitken, Kovila Coopamootoo +3
cs.CYcs.AIcs.LGarXiv:1912.00782v22019
STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting
Lei Bai, Lina Yao, Salil. S Kanhere +2
cs.LGcs.AIstat.MLarXiv:1905.10069v12019
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models
Boxin Wang, Chejian Xu, Shuohang Wang +5
cs.CLcs.CRcs.LGarXiv:2111.02840v22021
Think before you speak: Training Language Models With Pause Tokens
Sachin Goyal, Ziwei Ji, Ankit Singh Rawat +3
cs.CLcs.AIcs.LGarXiv:2310.02226v32023
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
Dongkwan Kim, Alice Oh
cs.LGcs.AIcs.SIarXiv:2204.04879v12022
Transformers learn to implement preconditioned gradient descent for in-context learning
Kwangjun Ahn, Xiang Cheng, Hadi Daneshmand +1
cs.LGcs.AIarXiv:2306.00297v22023
Variational inference for Monte Carlo objectives
Andriy Mnih, Danilo J. Rezende
cs.LGstat.MLarXiv:1602.06725v22016
MMA Training: Direct Input Space Margin Maximization through Adversarial Training
Gavin Weiguang Ding, Yash Sharma, Kry Yik Chau Lui +1
cs.LGcs.NEstat.MLarXiv:1812.02637v42018
Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling
Jakob Hoydis, Fayçal Aït Aoudia, Sebastian Cammerer +4
cs.ITcs.AIcs.LGarXiv:2303.11103v22023
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments
Jingwei Zhang, Jost Tobias Springenberg, Joschka Boedecker +1
cs.ROcs.AIcs.LGarXiv:1612.05533v32016
Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models
Juan Miguel Lopez Alcaraz, Nils Strodthoff
cs.LGstat.MLarXiv:2208.09399v32022
DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation
Chen Wang, Haochen Shi, Weizhuo Wang +3
cs.ROcs.AIcs.CVarXiv:2403.07788v22024
Do NLP Models Know Numbers? Probing Numeracy in Embeddings
Eric Wallace, Yizhong Wang, Sujian Li +2
cs.CLcs.LGarXiv:1909.07940v22019
PixelSNAIL: An Improved Autoregressive Generative Model
Xi Chen, Nikhil Mishra, Mostafa Rohaninejad +1
cs.LGstat.MLarXiv:1712.09763v12017
Learning how to Active Learn: A Deep Reinforcement Learning Approach
Meng Fang, Yuan Li, Trevor Cohn
cs.CLcs.AIcs.LGarXiv:1708.02383v12017
Consistency Regularization for Generative Adversarial Networks
Han Zhang, Zizhao Zhang, Augustus Odena +1
cs.LGcs.CVstat.MLarXiv:1910.12027v22019
Adversarial Attacks on Deep-Learning Based Radio Signal Classification
Meysam Sadeghi, Erik G. Larsson
cs.ITcs.CRcs.LGarXiv:1808.07713v12018
TRAK: Attributing Model Behavior at Scale
Sung Min Park, Kristian Georgiev, Andrew Ilyas +2
stat.MLcs.LGarXiv:2303.14186v22023
SLURP: A Spoken Language Understanding Resource Package
Emanuele Bastianelli, Andrea Vanzo, Pawel Swietojanski +1
cs.CLcs.LGarXiv:2011.13205v12020
A Survey of Reinforcement Learning Informed by Natural Language
Jelena Luketina, Nantas Nardelli, Gregory Farquhar +5
cs.LGcs.AIcs.CLarXiv:1906.03926v12019
Information-theoretic bounds on quantum advantage in machine learning
Hsin-Yuan Huang, Richard Kueng, John Preskill
quant-phcs.ITcs.LGarXiv:2101.02464v22021
A$^3$: Accelerating Attention Mechanisms in Neural Networks with Approximation
Tae Jun Ham, Sung Jun Jung, Seonghak Kim +8
cs.DCcs.LGarXiv:2002.10941v12020
Membership Leakage in Label-Only Exposures
Zheng Li, Yang Zhang
cs.LGcs.CRstat.MLarXiv:2007.15528v32020
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?
Arjun Majumdar, Karmesh Yadav, Sergio Arnaud +12
cs.CVcs.AIcs.LGarXiv:2303.18240v22023
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound
Lin F. Yang, Mengdi Wang
cs.LGstat.MLarXiv:1905.10389v22019
Controllable Invariance through Adversarial Feature Learning
Qizhe Xie, Zihang Dai, Yulun Du +2
cs.LGcs.AIcs.CLarXiv:1705.11122v32017
Data Driven Governing Equations Approximation Using Deep Neural Networks
Tong Qin, Kailiang Wu, Dongbin Xiu
math.NAcs.LGcs.NEarXiv:1811.05537v12018
MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation
Qian Huang, Jian Vora, Percy Liang +1
cs.LGcs.AIarXiv:2310.03302v22023
PassGAN: A Deep Learning Approach for Password Guessing
Briland Hitaj, Paolo Gasti, Giuseppe Ateniese +1
cs.CRcs.LGstat.MLarXiv:1709.00440v32017
Diffusion models as plug-and-play priors
Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic +1
cs.LGcs.CVarXiv:2206.09012v32022
Universal Adversarial Perturbations Against Semantic Image Segmentation
Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox +1
stat.MLcs.AIcs.CVarXiv:1704.05712v32017
JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services
Amir Erfan Eshratifar, Mohammad Saeed Abrishami, Massoud Pedram
cs.DCcs.AIcs.LGarXiv:1801.08618v22018
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian +3
cs.LGcs.ROarXiv:1907.00182v32019
Do Convnets Learn Correspondence?
Jonathan Long, Ning Zhang, Trevor Darrell
cs.CVcs.LGcs.NEarXiv:1411.1091v12014
Auxiliary Tasks in Multi-task Learning
Lukas Liebel, Marco Körner
cs.CVcs.LGarXiv:1805.06334v22018
Factuality Enhanced Language Models for Open-Ended Text Generation
Nayeon Lee, Wei Ping, Peng Xu +4
cs.CLcs.AIcs.CYarXiv:2206.04624v32022
A Question-Entailment Approach to Question Answering
Asma Ben Abacha, Dina Demner-Fushman
cs.CLcs.AIcs.IRarXiv:1901.08079v12019
Is Homophily a Necessity for Graph Neural Networks?
Yao Ma, Xiaorui Liu, Neil Shah +1
cs.LGstat.MLarXiv:2106.06134v42021
Prediction-Powered Inference
Anastasios N. Angelopoulos, Stephen Bates, Clara Fannjiang +2
stat.MLcs.AIcs.LGarXiv:2301.09633v42023
Projected GANs Converge Faster
Axel Sauer, Kashyap Chitta, Jens Müller +1
cs.CVcs.LGarXiv:2111.01007v12021
Deep Network Approximation for Smooth Functions
Jianfeng Lu, Zuowei Shen, Haizhao Yang +1
cs.LGmath.NAstat.MLarXiv:2001.03040v82020
Communication Compression for Decentralized Training
Hanlin Tang, Shaoduo Gan, Ce Zhang +2
cs.LGcs.DCeess.SYarXiv:1803.06443v52018
Latent Action Pretraining from Videos
Seonghyeon Ye, Joel Jang, Byeongguk Jeon +13
cs.ROcs.CLcs.CVarXiv:2410.11758v22024
LSQ+: Improving low-bit quantization through learnable offsets and better initialization
Yash Bhalgat, Jinwon Lee, Markus Nagel +2
cs.CVcs.LGstat.MLarXiv:2004.09576v12020
DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks
Tao Chen, Damian Borth, Trevor Darrell +1
cs.CVcs.LGcs.MMarXiv:1410.8586v12014
Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation
Gregory Kahn, Adam Villaflor, Bosen Ding +2
cs.LGcs.AIcs.ROarXiv:1709.10489v32017
Federated Learning for Keyword Spotting
David Leroy, Alice Coucke, Thibaut Lavril +2
eess.AScs.CLcs.LGarXiv:1810.05512v42018
Comparing BERT against traditional machine learning text classification
Santiago González-Carvajal, Eduardo C. Garrido-Merchán
cs.CLcs.LGstat.MLarXiv:2005.13012v22020
Neural Speech Recognizer: Acoustic-to-Word LSTM Model for Large Vocabulary Speech Recognition
Hagen Soltau, Hank Liao, Hasim Sak
cs.CLcs.LGcs.NEarXiv:1610.09975v12016
Robot Parkour Learning
Ziwen Zhuang, Zipeng Fu, Jianren Wang +4
cs.ROcs.AIcs.CVarXiv:2309.05665v22023
Coresets via Bilevel Optimization for Continual Learning and Streaming
Zalán Borsos, Mojmír Mutný, Andreas Krause
cs.LGstat.MLarXiv:2006.03875v22020

Machine Learning

Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks

Titans: Learning to Memorize at Test Time

Federated Class-Incremental Learning

AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation

Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice

Towards Knowledge-Based Recommender Dialog System

Ablation Studies in Artificial Neural Networks

Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers

POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition

The relationship between trust in AI and trustworthy machine learning technologies

STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting

Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models

Think before you speak: Training Language Models With Pause Tokens

How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Transformers learn to implement preconditioned gradient descent for in-context learning

Variational inference for Monte Carlo objectives

MMA Training: Direct Input Space Margin Maximization through Adversarial Training

Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling

Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments

Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models

DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation

Do NLP Models Know Numbers? Probing Numeracy in Embeddings

PixelSNAIL: An Improved Autoregressive Generative Model

Learning how to Active Learn: A Deep Reinforcement Learning Approach

Consistency Regularization for Generative Adversarial Networks

Adversarial Attacks on Deep-Learning Based Radio Signal Classification

TRAK: Attributing Model Behavior at Scale

SLURP: A Spoken Language Understanding Resource Package

A Survey of Reinforcement Learning Informed by Natural Language

Information-theoretic bounds on quantum advantage in machine learning

A$^3$: Accelerating Attention Mechanisms in Neural Networks with Approximation

Membership Leakage in Label-Only Exposures

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?

Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound

Controllable Invariance through Adversarial Feature Learning

Data Driven Governing Equations Approximation Using Deep Neural Networks

MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

PassGAN: A Deep Learning Approach for Password Guessing

Diffusion models as plug-and-play priors

Universal Adversarial Perturbations Against Semantic Image Segmentation

JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services

Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges

Do Convnets Learn Correspondence?

Auxiliary Tasks in Multi-task Learning

Factuality Enhanced Language Models for Open-Ended Text Generation

A Question-Entailment Approach to Question Answering

Is Homophily a Necessity for Graph Neural Networks?

Prediction-Powered Inference

Projected GANs Converge Faster

Deep Network Approximation for Smooth Functions

Communication Compression for Decentralized Training

Latent Action Pretraining from Videos

LSQ+: Improving low-bit quantization through learnable offsets and better initialization

DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks

Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation

Federated Learning for Keyword Spotting

Comparing BERT against traditional machine learning text classification

Neural Speech Recognizer: Acoustic-to-Word LSTM Model for Large Vocabulary Speech Recognition

Robot Parkour Learning

Coresets via Bilevel Optimization for Continual Learning and Streaming