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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24,001 to 24,060 of 33,233

Optimal Behavior Prior: Data-Efficient Human Models for Improved Human-AI Collaboration
Mesut Yang, Micah Carroll, Anca Dragan
cs.LGcs.HCarXiv:2211.01602v22022
How Many Data Points is a Prompt Worth?
Teven Le Scao, Alexander M. Rush
cs.LGarXiv:2103.08493v22021
Finite Depth and Width Corrections to the Neural Tangent Kernel
Boris Hanin, Mihai Nica
cs.LGmath.PRstat.MLarXiv:1909.05989v12019
Beyond $L_2$: Generalizing Abductive Latent Explanations to Diverse Prototype-Based Architectures
Jules Soria, Alban Grastien, Romain Xu-Darme +3
cs.LGarXiv:2608.16773v12026
On Loss Functions for Deep Neural Networks in Classification
Katarzyna Janocha, Wojciech Marian Czarnecki
cs.LGarXiv:1702.05659v12017
META-DES: A Dynamic Ensemble Selection Framework using Meta-Learning
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti +1
cs.LGcs.AIstat.MLarXiv:1810.01270v12018
Swapout: Learning an ensemble of deep architectures
Saurabh Singh, Derek Hoiem, David Forsyth
cs.CVcs.LGcs.NEarXiv:1605.06465v12016
UnAct: Gradient-Free Unlearning via Targeted Activation Intervention
Saeed Abdul Muizz, Aayat Rafiq, Iqra Altaf Gillani +1
cs.LGcs.CVarXiv:2610.04426v12026
Scaling Inference-Efficient Language Models
Song Bian, Minghao Yan, Shivaram Venkataraman
cs.LGcs.AIcs.CLarXiv:2501.18107v22025
Deep Learning Through the Lens of Example Difficulty
Robert J. N. Baldock, Hartmut Maennel, Behnam Neyshabur
cs.LGstat.MLarXiv:2106.09647v22021
How to train your model organism
Xilin Wang, David Bau, Byron C. Wallace
cs.LGarXiv:2610.10203v12026
Guided Conditional Diffusion for Controllable Traffic Simulation
Ziyuan Zhong, Davis Rempe, Danfei Xu +5
cs.ROcs.AIcs.LGarXiv:2210.17366v12022
Disciplined Bilevel Programming
Hao Zhu, Joschka Boedecker
math.OCcs.CEcs.LGarXiv:2609.00644v12026
Improving global precipitation forecasts with an AI weather model trained on satellite observations
Julian F. Schmitt, Bertrand Delorme, Robert C. King +4
physics.ao-phcs.LGarXiv:2609.03210v32026
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation
Chenyu You, Yuan Zhou, Ruihan Zhao +2
cs.CVcs.AIcs.LGarXiv:2108.06227v42021
Streaming Graph Neural Networks via Continual Learning
Junshan Wang, Guojie Song, Yi Wu +1
cs.LGcs.SIstat.MLarXiv:2009.10951v22020
Time-Series Representation Learning via Temporal and Contextual Contrasting
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen +4
cs.LGcs.AIarXiv:2106.14112v12021
Optimal Rates for Multi-pass Stochastic Gradient Methods
Junhong Lin, Lorenzo Rosasco
cs.LGmath.OCstat.MLarXiv:1605.08882v32016
Totally Corrective Boosting with Cardinality Penalization
Vasil S. Denchev, Nan Ding, Shin Matsushima +2
cs.LGquant-pharXiv:1504.01446v12015
HumanX: Toward Agile and Generalizable Humanoid Interaction Skills from Human Videos
Yinhuai Wang, Qihan Zhao, Yuen Fui Lau +6
cs.ROcs.LGarXiv:2602.02473v12026
Language Models are Injective and Hence Invertible
Giorgos Nikolaou, Tommaso Mencattini, Donato Crisostomi +3
cs.LGcs.AIarXiv:2510.15511v42025
Spectral MLE: Top-$K$ Rank Aggregation from Pairwise Comparisons
Yuxin Chen, Changho Suh
cs.LGcs.DScs.ITarXiv:1504.07218v22015
Hierarchical Generation of Molecular Graphs using Structural Motifs
Wengong Jin, Regina Barzilay, Tommi Jaakkola
cs.LGstat.MLarXiv:2002.03230v22020
DART: Distributional Adversarial Recurrent Training for Algorithm Learning
Hieu Tran Bao, Phung Thanh Dang, Pham Quang Nhat Minh +1
cs.LGcs.AIarXiv:2609.05988v12026
UCNN: Exploiting Computational Reuse in Deep Neural Networks via Weight Repetition
Kartik Hegde, Jiyong Yu, Rohit Agrawal +3
cs.NEcs.LGarXiv:1804.06508v12018
AQAScore: Evaluating Semantic Alignment in Text-to-Audio Generation via Audio Question Answering
Chun-Yi Kuan, Kai-Wei Chang, Hung-yi Lee
eess.AScs.AIcs.CLarXiv:2601.14728v12026
Analyzing Differentiable Fuzzy Logic Operators
Emile van Krieken, Erman Acar, Frank van Harmelen
cs.AIcs.LGcs.LOarXiv:2002.06100v22020
Assessing Generative Models via Precision and Recall
Mehdi S. M. Sajjadi, Olivier Bachem, Mario Lucic +2
stat.MLcs.LGarXiv:1806.00035v22018
Phonologically Informed Tokenization for German Speech Recognition: A Cross-Domain Study
Christopher Witzl, Tobias Bocklet, Korbinian Riedhammer
cs.CLcs.LGarXiv:2610.11646v12026
Phase Retrieval Under a Generative Prior
Paul Hand, Oscar Leong, Vladislav Voroninski
cs.ITcs.LGmath.OCarXiv:1807.04261v12018
A framework for benchmarking class-out-of-distribution detection and its application to ImageNet
Ido Galil, Mohammed Dabbah, Ran El-Yaniv
cs.LGcs.CVarXiv:2302.11893v12023
A Survey on Self-Improving Test-Time Intelligence: Feedback-Driven Adapting, Learning, and Scaling at Inference
Shuaicheng Niu, Guohao Chen, Yaofo Chen +14
cs.LGarXiv:2609.01679v12026
Black-box Dataset Ownership Verification via Backdoor Watermarking
Yiming Li, Mingyan Zhu, Xue Yang +3
cs.CRcs.AIcs.CVarXiv:2209.06015v22022
QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks?
Belinda Z. Li, Been Kim, Zi Wang
cs.AIcs.CLcs.LGarXiv:2503.22674v22025
Improving Palliative Care with Deep Learning
Anand Avati, Kenneth Jung, Stephanie Harman +3
cs.CYcs.LGstat.MLarXiv:1711.06402v12017
LongForm: Effective Instruction Tuning with Reverse Instructions
Abdullatif Köksal, Timo Schick, Anna Korhonen +1
cs.CLcs.AIcs.LGarXiv:2304.08460v32023
POWERPLAY: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem
Jürgen Schmidhuber
cs.AIcs.LGarXiv:1112.5309v22011
AdaGrad stepsizes: Sharp convergence over nonconvex landscapes
Rachel Ward, Xiaoxia Wu, Leon Bottou
stat.MLcs.LGarXiv:1806.01811v82018
Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations
Gerda Bortsova, Florian Dubost, Laurens Hogeweg +2
cs.CVcs.LGarXiv:1911.01218v12019
Beyond Endpoint Scores: Time- and Capacity-Conditioned Evaluation of Continual Knowledge Updating
Heejin Choi
cs.LGarXiv:2609.03900v12026
Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations
Ioana Bica, Ahmed M. Alaa, James Jordon +1
cs.LGstat.MLarXiv:2002.04083v12020
Feature Learning based Deep Supervised Hashing with Pairwise Labels
Wu-Jun Li, Sheng Wang, Wang-Cheng Kang
cs.LGcs.CVarXiv:1511.03855v22015
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Shiori Sagawa, Aditi Raghunathan, Pang Wei Koh +1
cs.LGcs.CVstat.MLarXiv:2005.04345v32020
Active Attacks: Red-teaming LLMs via Adaptive Environments
Taeyoung Yun, Pierre-Luc St-Charles, Jinkyoo Park +2
cs.LGcs.AIarXiv:2509.21947v22025
Hypothesis Testing Interpretations and Renyi Differential Privacy
Borja Balle, Gilles Barthe, Marco Gaboardi +2
cs.LGstat.MLarXiv:1905.09982v22019
DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token via Reinforcement Learning
Shih-Yang Liu, Xin Dong, Ximing Lu +9
cs.LGcs.AIcs.CLarXiv:2510.15110v12025
Is Out-of-Distribution Detection Learnable?
Zhen Fang, Yixuan Li, Jie Lu +3
cs.LGstat.MLarXiv:2210.14707v32022
Low-Rank+Sparse Tensor Compression for Neural Networks
Cole Hawkins, Haichuan Yang, Meng Li +2
cs.LGarXiv:2111.01697v12021
On the Power of Over-parametrization in Neural Networks with Quadratic Activation
Simon S. Du, Jason D. Lee
cs.LGcs.AImath.OCarXiv:1803.01206v22018
Quad-networks: unsupervised learning to rank for interest point detection
Nikolay Savinov, Akihito Seki, Lubor Ladicky +2
cs.CVcs.LGcs.NEarXiv:1611.07571v22016
DeepSeek vs. ChatGPT vs. Claude: A Comparative Study for Scientific Computing and Scientific Machine Learning Tasks
Qile Jiang, Zhiwei Gao, George Em Karniadakis
cs.LGcs.AIarXiv:2502.17764v22025
CataOPD: Catalytic On-Policy Distillation for Large Language Model Reasoning
Wenjin Liu, Chenxi Wang, Jiapu Wang +3
cs.LGcs.CEarXiv:2609.29518v12026
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs
Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux +1
cs.LGstat.MLarXiv:2007.02387v12020
Subgraph Federated Learning with Missing Neighbor Generation
Ke Zhang, Carl Yang, Xiaoxiao Li +2
cs.LGcs.SIarXiv:2106.13430v62021
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning
Yunbo Wang, Zhifeng Gao, Mingsheng Long +2
cs.LGcs.CVstat.MLarXiv:1804.06300v22018
Data-Efficient Image Quality Assessment with Attention-Panel Decoder
Guanyi Qin, Runze Hu, Yutao Liu +4
cs.CVcs.LGeess.IVarXiv:2304.04952v12023
The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning
Xinyu Zhu, Mengzhou Xia, Zhepei Wei +3
cs.CLcs.LGarXiv:2506.01347v22025
LaVR: Scene Latent Conditioned Generative Video Trajectory Re-Rendering using Large 4D Reconstruction Models
Mingyang Xie, Numair Khan, Tianfu Wang +8
cs.CVcs.LGarXiv:2601.14674v22026
Scaling Curriculum Learning For Autonomous Driving
Cevahir Koprulu, David Paz, Feng Tao +4
cs.AIcs.LGarXiv:2608.22549v12026
ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition
Yash Jain, Chi Ian Tang, Chulhong Min +2
cs.LGcs.AIcs.HCarXiv:2202.00758v12022

Machine Learning

Optimal Behavior Prior: Data-Efficient Human Models for Improved Human-AI Collaboration

How Many Data Points is a Prompt Worth?

Finite Depth and Width Corrections to the Neural Tangent Kernel

Beyond $L_2$: Generalizing Abductive Latent Explanations to Diverse Prototype-Based Architectures

On Loss Functions for Deep Neural Networks in Classification

META-DES: A Dynamic Ensemble Selection Framework using Meta-Learning

Swapout: Learning an ensemble of deep architectures

UnAct: Gradient-Free Unlearning via Targeted Activation Intervention

Scaling Inference-Efficient Language Models

Deep Learning Through the Lens of Example Difficulty

How to train your model organism

Guided Conditional Diffusion for Controllable Traffic Simulation

Disciplined Bilevel Programming

Improving global precipitation forecasts with an AI weather model trained on satellite observations

SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation

Streaming Graph Neural Networks via Continual Learning

Time-Series Representation Learning via Temporal and Contextual Contrasting

Optimal Rates for Multi-pass Stochastic Gradient Methods

Totally Corrective Boosting with Cardinality Penalization

HumanX: Toward Agile and Generalizable Humanoid Interaction Skills from Human Videos

Language Models are Injective and Hence Invertible

Spectral MLE: Top-$K$ Rank Aggregation from Pairwise Comparisons

Hierarchical Generation of Molecular Graphs using Structural Motifs

DART: Distributional Adversarial Recurrent Training for Algorithm Learning

UCNN: Exploiting Computational Reuse in Deep Neural Networks via Weight Repetition

AQAScore: Evaluating Semantic Alignment in Text-to-Audio Generation via Audio Question Answering

Analyzing Differentiable Fuzzy Logic Operators

Assessing Generative Models via Precision and Recall

Phonologically Informed Tokenization for German Speech Recognition: A Cross-Domain Study

Phase Retrieval Under a Generative Prior

A framework for benchmarking class-out-of-distribution detection and its application to ImageNet

A Survey on Self-Improving Test-Time Intelligence: Feedback-Driven Adapting, Learning, and Scaling at Inference

Black-box Dataset Ownership Verification via Backdoor Watermarking

QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks?

Improving Palliative Care with Deep Learning

LongForm: Effective Instruction Tuning with Reverse Instructions

POWERPLAY: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem

AdaGrad stepsizes: Sharp convergence over nonconvex landscapes

Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations

Beyond Endpoint Scores: Time- and Capacity-Conditioned Evaluation of Continual Knowledge Updating

Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations

Feature Learning based Deep Supervised Hashing with Pairwise Labels

An Investigation of Why Overparameterization Exacerbates Spurious Correlations

Active Attacks: Red-teaming LLMs via Adaptive Environments

Hypothesis Testing Interpretations and Renyi Differential Privacy

DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token via Reinforcement Learning

Is Out-of-Distribution Detection Learnable?

Low-Rank+Sparse Tensor Compression for Neural Networks

On the Power of Over-parametrization in Neural Networks with Quadratic Activation

Quad-networks: unsupervised learning to rank for interest point detection

DeepSeek vs. ChatGPT vs. Claude: A Comparative Study for Scientific Computing and Scientific Machine Learning Tasks

CataOPD: Catalytic On-Policy Distillation for Large Language Model Reasoning

Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs

Subgraph Federated Learning with Missing Neighbor Generation

PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning

Data-Efficient Image Quality Assessment with Attention-Panel Decoder

The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning

LaVR: Scene Latent Conditioned Generative Video Trajectory Re-Rendering using Large 4D Reconstruction Models

Scaling Curriculum Learning For Autonomous Driving

ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition