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.

Search paper metadata (including unsummarized papers)

15,421 to 15,480 of 20,199

Fake News Detection on Social Media using Geometric Deep Learning
Federico Monti, Fabrizio Frasca, Davide Eynard +2
cs.SIcs.LGstat.MLarXiv:1902.06673v12019
LESS: Selecting Influential Data for Targeted Instruction Tuning
Mengzhou Xia, Sadhika Malladi, Suchin Gururangan +2
cs.CLcs.AIcs.LGarXiv:2402.04333v32024
FlowNet3D: Learning Scene Flow in 3D Point Clouds
Xingyu Liu, Charles R. Qi, Leonidas J. Guibas
cs.CVcs.LGarXiv:1806.01411v32018
Top-K Off-Policy Correction for a REINFORCE Recommender System
Minmin Chen, Alex Beutel, Paul Covington +3
cs.LGcs.IRstat.MLarXiv:1812.02353v32018
Tell Me Where to Look: Guided Attention Inference Network
Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng +2
cs.CVcs.LGarXiv:1802.10171v12018
Sim-to-Real Robot Learning from Pixels with Progressive Nets
Andrei A. Rusu, Mel Vecerik, Thomas Rothörl +3
cs.ROcs.LGarXiv:1610.04286v22016
Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities
Hai Pham, Paul Pu Liang, Thomas Manzini +2
cs.LGcs.CLcs.CVarXiv:1812.07809v22018
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
Chankyu Lee, Rajarshi Roy, Mengyao Xu +4
cs.CLcs.AIcs.IRarXiv:2405.17428v32024
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
Yikun Xian, Zuohui Fu, S. Muthukrishnan +2
cs.IRcs.LGarXiv:1906.05237v12019
NiftyNet: a deep-learning platform for medical imaging
Eli Gibson, Wenqi Li, Carole Sudre +14
cs.CVcs.LGcs.NEarXiv:1709.03485v22017
Detection != Reliable Control: Decodable Empathy Directions Yield at Most Partial Shifts in Automated Empathy Scores
Haoran Jisun
cs.CLcs.HCcs.LGarXiv:2608.24901v12026
The geometry of AI validation: Exact certification limits for iid best-of-N search
Ricardo Fitas
cs.LGmath.STstat.MLarXiv:2608.21496v12026
Insights on representational similarity in neural networks with canonical correlation
Ari S. Morcos, Maithra Raghu, Samy Bengio
stat.MLcs.AIcs.CVarXiv:1806.05759v32018
StateTune: Transforming LLM-Assisted EDA Flow Tuning into a Stateful, Closed-Loop Process
Kunlong Li, Shangshang Yao, Su Zheng +1
cs.ARcs.LGcs.MAarXiv:2608.23601v12026
Objects that Sound
Relja Arandjelović, Andrew Zisserman
cs.CVcs.LGcs.MMarXiv:1712.06651v22017
The Plan, Not the Decoder: Diagnosing and Repairing Compositional Failure in Reasoning-Augmented Text-to-Image Generation
Ashritha Gonuguntla
cs.CVcs.CLcs.LGarXiv:2608.21713v12026
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
Julian Chibane, Thiemo Alldieck, Gerard Pons-Moll
cs.CVcs.LGarXiv:2003.01456v22020
RiskWorld: Object-Centric Latent World Modeling for Autonomous Driving Risk Identification
Jingzheng Li, Yufei Ge, Qianren Mao +5
cs.ROcs.LGarXiv:2608.21414v12026
Constructing Predictive Surgical Path for AI-based Capsulorhexis Skill Transfer
Mohammad Javad Ahmadi, Hamid D. Taghirad
cs.ROcs.AIcs.LGarXiv:2608.21441v12026
Loss-Parameterized Fisher Width Along Learning Trajectories
Vu Khac Ky
cs.LGmath.STarXiv:2608.21561v12026
Variational Structure at the Edge of Stability
Eric Regis
cs.LGarXiv:2608.21660v12026
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization
Sanjeev Arora, Nadav Cohen, Elad Hazan
cs.LGarXiv:1802.06509v22018
TANGO: Token-Aggregated Nonlinear Gating Operators for Natural and Formal Language Modeling
Joshua Nunley
cs.LGcs.CLarXiv:2608.22117v12026
Autonomous Cyber Defense: Real-Time Attack Detection and Mitigation in Software-Defined Networks Using Machine Learning
Alexandre Amaral, Fernando Moro, Ana Malheiro
cs.CRcs.LGarXiv:2608.22075v32026
EditStream: A Unified Autoregressive Framework for Interactive Video Generation and Editing
Yuqian Zhou, Zhenghong Zhou, Zongze Wu +5
cs.CVcs.GRcs.HCarXiv:2608.21424v12026
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability
Shayegan Omidshafiei, Jason Pazis, Christopher Amato +2
cs.LGcs.AIcs.MAarXiv:1703.06182v42017
Robust Estimators in High Dimensions without the Computational Intractability
Ilias Diakonikolas, Gautam Kamath, Daniel Kane +3
cs.DScs.ITcs.LGarXiv:1604.06443v22016
Sorting from Counterexamples
Noga Alon, Shay Moran, Shlomo Moran
cs.LGcs.CCcs.CGarXiv:2608.21579v12026
BeTaL-GBI: Admission-Aware Benchmark Tuning and Full-Stack Verification of Geometric Belief Interfaces
Alvin Spivey, Yu Huang
cs.SEcs.CRcs.LGarXiv:2608.21503v12026
Essentially No Barriers in Neural Network Energy Landscape
Felix Draxler, Kambis Veschgini, Manfred Salmhofer +1
stat.MLcs.AIcs.LGarXiv:1803.00885v52018
Towards Universal Paraphrastic Sentence Embeddings
John Wieting, Mohit Bansal, Kevin Gimpel +1
cs.CLcs.LGarXiv:1511.08198v32015
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration
Meelis Kull, Miquel Perello-Nieto, Markus Kängsepp +3
cs.LGstat.MLarXiv:1910.12656v12019
Exploring Long-period Architectures: Four New Planet Candidates from Kepler with Periods >342 days
Matthew T. Hansen, Jason A. Dittmann
astro-ph.EPastro-ph.IMcs.LGarXiv:2608.23425v12026
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Fernando Pérez-García, Rachel Sparks, Sébastien Ourselin
eess.IVcs.AIcs.CVarXiv:2003.04696v52020
Geometric Structures on Graphs: a Holonomy-Based Discretization of Curvature
Hao Li, Yuhan Peng, Junwen Dong
cs.LGmath.DGarXiv:2608.22453v12026
Unveiling the Depth-Performance Dilemma in Split-Federated Fine-tuning of LLMs
Hariharan Ramesh, Someshwaran Murugaiyan, Jyotikrishna Dass
cs.LGcs.CLcs.DCarXiv:2608.22188v12026
Scaling Distributed Machine Learning with In-Network Aggregation
Amedeo Sapio, Marco Canini, Chen-Yu Ho +7
cs.DCcs.LGcs.NIarXiv:1903.06701v22019
Leveraging Remote Traffic Data for Local Air Pollutant Estimation: A Scenario-Based Machine Learning Study Across London Monitoring Sites
Valeria Legaria-Santiago, Amadeo Arguelles, Magdalena Saldana-Perez +2
cs.LGarXiv:2608.23219v12026
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
Abhishek Gupta, Vikash Kumar, Corey Lynch +2
cs.LGcs.ROstat.MLarXiv:1910.11956v12019
Complexity Induction: Compositional Generalization via Structured Label Distortion
Aleksandr Abramov
cs.CVcs.AIcs.LGarXiv:2608.21464v12026
Posterior Information Dynamics of Diffusion Models for Linear Inverse Problems
Xiangming Meng
cs.LGcs.ITeess.SParXiv:2608.21709v12026
Guidance for Prior Change via Density Ratio Estimation
Yichen Zang, Song Liu, Jiun-Yi Lin
stat.MLcs.LGstat.MEarXiv:2608.21729v12026
Counterfactual Quotient Models: Learning What Actions Change, Not What the World Does
Junlin Chen, Ruijie Wang, Jianxin Li
cs.LGarXiv:2608.22092v12026
Semantic Reasoning Denoising: Correcting Language Model Reasoning with Semantic Operators
Yujiao Yang
cs.CLcs.AIcs.LGarXiv:2608.22090v12026
On the Utility of Learning about Humans for Human-AI Coordination
Micah Carroll, Rohin Shah, Mark K. Ho +4
cs.LGcs.AIcs.HCarXiv:1910.05789v22019
Spectral partitioning for $k$-block averaging kernels of finite Markov chains
Michael C. H. Choi, Youjia Wang
stat.MLcs.ITcs.LGarXiv:2608.21466v12026
Rethinking Communication Metrics: How Should We Measure Meaning?
Niloofar Tavakolian, Hakimeh Purmehdi, Jungyeon Baek
cs.LGarXiv:2608.21626v12026
Class-Conditioned Gaussian Mixture Modeling for Imbalanced Time Series Quantification
Md Shahriar Kabir, Mayesha Maliha R. Mithila, Anne H. H. Ngu +2
cs.LGarXiv:2608.21473v12026
Anchoring Bias: A Persistent Fairness Backdoor Attack against MLLMs under Continual Learning
Yuyang Luo, Kai Shu
cs.LGcs.AIarXiv:2608.21577v12026
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale
Matthew Le, Apoorv Vyas, Bowen Shi +8
eess.AScs.CLcs.LGarXiv:2306.15687v22023
Forecasting: theory and practice
Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos +77
stat.APcs.LGecon.EMarXiv:2012.03854v42020
TherMapNet Attention-Guided Runtime Full-Chip Thermal Map Prediction from Performance Metrics
Qin Gu, Chaofang Ma, Mingyu Yang +4
cs.ARcs.LGarXiv:2608.21887v12026
SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning
Hanrui Wang, Zhekai Zhang, Song Han
cs.ARcs.AIcs.CLarXiv:2012.09852v32020
Channel-wise Autoregressive Entropy Models for Learned Image Compression
David Minnen, Saurabh Singh
eess.IVcs.CVcs.ITarXiv:2007.08739v12020
An efficient framework for learning sentence representations
Lajanugen Logeswaran, Honglak Lee
cs.CLcs.AIcs.LGarXiv:1803.02893v12018
Tensor Seeks Layout: Formalizing Layout Selection for ML Compilers
Clemens Eisenhofer, Yuwen Jia, Daniel Kroening +1
cs.PLcs.DScs.LGarXiv:2608.21555v12026
Variance Driven Exploration: A Provable and Efficient Methodology for Pure Exploration in Highly Stochastic Environments
Khang Luong, Nam Nguyen, Hoang Ta +2
cs.LGcs.AIstat.MLarXiv:2608.21995v12026
Multi-attention Recurrent Network for Human Communication Comprehension
Amir Zadeh, Paul Pu Liang, Soujanya Poria +3
cs.AIcs.CLcs.LGarXiv:1802.00923v12018
Globally Normalized Transition-Based Neural Networks
Daniel Andor, Chris Alberti, David Weiss +5
cs.CLcs.LGcs.NEarXiv:1603.06042v22016
Congruence Decomposition with Neural Block Solvers for Large-Scale PCI Assignment
Yeqing Qiu, Chengpiao Huang, Ye Xue +7
cs.LGeess.SParXiv:2608.21485v12026

Machine Learning

Fake News Detection on Social Media using Geometric Deep Learning

LESS: Selecting Influential Data for Targeted Instruction Tuning

FlowNet3D: Learning Scene Flow in 3D Point Clouds

Top-K Off-Policy Correction for a REINFORCE Recommender System

Tell Me Where to Look: Guided Attention Inference Network

Sim-to-Real Robot Learning from Pixels with Progressive Nets

Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

NiftyNet: a deep-learning platform for medical imaging

Detection != Reliable Control: Decodable Empathy Directions Yield at Most Partial Shifts in Automated Empathy Scores

The geometry of AI validation: Exact certification limits for iid best-of-N search

Insights on representational similarity in neural networks with canonical correlation

StateTune: Transforming LLM-Assisted EDA Flow Tuning into a Stateful, Closed-Loop Process

Objects that Sound

The Plan, Not the Decoder: Diagnosing and Repairing Compositional Failure in Reasoning-Augmented Text-to-Image Generation

Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion

RiskWorld: Object-Centric Latent World Modeling for Autonomous Driving Risk Identification

Constructing Predictive Surgical Path for AI-based Capsulorhexis Skill Transfer

Loss-Parameterized Fisher Width Along Learning Trajectories

Variational Structure at the Edge of Stability

On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization

TANGO: Token-Aggregated Nonlinear Gating Operators for Natural and Formal Language Modeling

Autonomous Cyber Defense: Real-Time Attack Detection and Mitigation in Software-Defined Networks Using Machine Learning

EditStream: A Unified Autoregressive Framework for Interactive Video Generation and Editing

Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability

Robust Estimators in High Dimensions without the Computational Intractability

Sorting from Counterexamples

BeTaL-GBI: Admission-Aware Benchmark Tuning and Full-Stack Verification of Geometric Belief Interfaces

Essentially No Barriers in Neural Network Energy Landscape

Towards Universal Paraphrastic Sentence Embeddings

Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration

Exploring Long-period Architectures: Four New Planet Candidates from Kepler with Periods >342 days

TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning

Geometric Structures on Graphs: a Holonomy-Based Discretization of Curvature

Unveiling the Depth-Performance Dilemma in Split-Federated Fine-tuning of LLMs

Scaling Distributed Machine Learning with In-Network Aggregation

Leveraging Remote Traffic Data for Local Air Pollutant Estimation: A Scenario-Based Machine Learning Study Across London Monitoring Sites

Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning

Complexity Induction: Compositional Generalization via Structured Label Distortion

Posterior Information Dynamics of Diffusion Models for Linear Inverse Problems

Guidance for Prior Change via Density Ratio Estimation

Counterfactual Quotient Models: Learning What Actions Change, Not What the World Does

Semantic Reasoning Denoising: Correcting Language Model Reasoning with Semantic Operators

On the Utility of Learning about Humans for Human-AI Coordination

Spectral partitioning for $k$-block averaging kernels of finite Markov chains

Rethinking Communication Metrics: How Should We Measure Meaning?

Class-Conditioned Gaussian Mixture Modeling for Imbalanced Time Series Quantification

Anchoring Bias: A Persistent Fairness Backdoor Attack against MLLMs under Continual Learning

Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale

Forecasting: theory and practice

TherMapNet Attention-Guided Runtime Full-Chip Thermal Map Prediction from Performance Metrics

SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning

Channel-wise Autoregressive Entropy Models for Learned Image Compression

An efficient framework for learning sentence representations

Tensor Seeks Layout: Formalizing Layout Selection for ML Compilers

Variance Driven Exploration: A Provable and Efficient Methodology for Pure Exploration in Highly Stochastic Environments

Multi-attention Recurrent Network for Human Communication Comprehension

Globally Normalized Transition-Based Neural Networks

Congruence Decomposition with Neural Block Solvers for Large-Scale PCI Assignment