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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9,541 to 9,600 of 20,005

Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings
Feiyang Pan, Shuokai Li, Xiang Ao +2
cs.LGcs.IRstat.MLarXiv:1904.11547v12019
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder
Zhisheng Xiao, Qing Yan, Yali Amit
cs.LGcs.CVstat.MLarXiv:2003.02977v32020
Poisoning Attacks to Graph-Based Recommender Systems
Minghong Fang, Guolei Yang, Neil Zhenqiang Gong +1
cs.IRcs.CRcs.LGarXiv:1809.04127v12018
Sub-seasonal forecasting with a large ensemble of deep-learning weather prediction models
Jonathan A. Weyn, Dale R. Durran, Rich Caruana +1
physics.ao-phcs.LGarXiv:2102.05107v12021
Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images
Noriaki Hashimoto, Daisuke Fukushima, Ryoichi Koga +7
cs.CVcs.LGeess.IVarXiv:2001.01599v22020
Advancing Spiking Neural Networks towards Deep Residual Learning
Yifan Hu, Lei Deng, Yujie Wu +2
cs.NEcs.LGarXiv:2112.08954v32021
LAFITE: Towards Language-Free Training for Text-to-Image Generation
Yufan Zhou, Ruiyi Zhang, Changyou Chen +6
cs.CVcs.LGarXiv:2111.13792v32021
Tagged Back-Translation
Isaac Caswell, Ciprian Chelba, David Grangier
cs.CLcs.LGarXiv:1906.06442v12019
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning
Baoyuan Wu, Hongrui Chen, Mingda Zhang +4
cs.LGcs.CRarXiv:2206.12654v22022
Deep Successor Reinforcement Learning
Tejas D. Kulkarni, Ardavan Saeedi, Simanta Gautam +1
stat.MLcs.AIcs.LGarXiv:1606.02396v12016
SMELT: Scaling Laws for Compute-Matched MoE Looped Transformers
Shaowen Wang, Ge Zhang, Kairong Luo +6
cs.LGarXiv:2609.01343v12026
SemEval-2017 Task 3: Community Question Answering
Preslav Nakov, Doris Hoogeveen, Lluís Màrquez +4
cs.CLcs.AIcs.IRarXiv:1912.00730v12019
Scalable Fair Clustering
Arturs Backurs, Piotr Indyk, Krzysztof Onak +3
cs.DScs.LGarXiv:1902.03519v22019
Kolmogorov-Arnold Networks are Radial Basis Function Networks
Ziyao Li
cs.LGcs.AIarXiv:2405.06721v12024
Dynamic Model Pruning with Feedback
Tao Lin, Sebastian U. Stich, Luis Barba +2
cs.LGstat.MLarXiv:2006.07253v12020
Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events
Guang Yu, Siqi Wang, Zhiping Cai +4
cs.CVcs.LGeess.IVarXiv:2008.11988v12020
Document-level Relation Extraction as Semantic Segmentation
Ningyu Zhang, Xiang Chen, Xin Xie +6
cs.CLcs.AIcs.CVarXiv:2106.03618v22021
DICE: Leveraging Sparsification for Out-of-Distribution Detection
Yiyou Sun, Yixuan Li
cs.LGarXiv:2111.09805v22021
Convolutional Neural Fabrics
Shreyas Saxena, Jakob Verbeek
cs.CVcs.LGcs.NEarXiv:1606.02492v42016
Spectral Methods for Data Science: A Statistical Perspective
Yuxin Chen, Yuejie Chi, Jianqing Fan +1
stat.MLcs.ITcs.LGarXiv:2012.08496v22020
Graph Backdoor
Zhaohan Xi, Ren Pang, Shouling Ji +1
cs.LGcs.CRstat.MLarXiv:2006.11890v52020
RanPAC: Random Projections and Pre-trained Models for Continual Learning
Mark D. McDonnell, Dong Gong, Amin Parveneh +2
cs.LGcs.CVarXiv:2307.02251v32023
Bandits with concave rewards and convex knapsacks
Shipra Agrawal, Nikhil R. Devanur
cs.LGarXiv:1402.5758v12014
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation
Can Qin, Haoxuan You, Lichen Wang +2
cs.CVcs.LGarXiv:1911.02744v12019
Bayesian Optimization with Gradients
Jian Wu, Matthias Poloczek, Andrew Gordon Wilson +1
stat.MLcs.AIcs.LGarXiv:1703.04389v32017
Adaptive Quantization for Deep Neural Network
Yiren Zhou, Seyed-Mohsen Moosavi-Dezfooli, Ngai-Man Cheung +1
cs.LGstat.MLarXiv:1712.01048v12017
Cross-domain Contrastive Learning for Unsupervised Domain Adaptation
Rui Wang, Zuxuan Wu, Zejia Weng +3
cs.CVcs.AIcs.LGarXiv:2106.05528v22021
A comparison of LSTM and GRU networks for learning symbolic sequences
Roberto Cahuantzi, Xinye Chen, Stefan Güttel
cs.LGcs.NEarXiv:2107.02248v32021
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks
Yuris Mulya Saputra, Dinh Thai Hoang, Diep N. Nguyen +3
eess.SPcs.LGarXiv:1909.00907v12019
EM^2Mem: Event-Centric Multimodal Memory for Large Language Models
Yijun Chen, Yaqi Zheng, Yanya Li +11
cs.CLcs.AIcs.LGarXiv:2609.00551v12026
Event Representations for Automated Story Generation with Deep Neural Nets
Lara J. Martin, Prithviraj Ammanabrolu, Xinyu Wang +4
cs.CLcs.AIcs.LGarXiv:1706.01331v32017
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks
Ruixiang Tang, Mengnan Du, Ninghao Liu +2
cs.CRcs.LGarXiv:2006.08131v22020
Open-Ended Learning Leads to Generally Capable Agents
Open Ended Learning Team, Adam Stooke, Anuj Mahajan +15
cs.LGcs.AIcs.MAarXiv:2107.12808v22021
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models
Christoph Molnar, Gunnar König, Julia Herbinger +6
stat.MLcs.LGarXiv:2007.04131v22020
Minimax bounds for watermarked and masked recursive discrete distribution estimation
Millen Kanabar, Michael Gastpar
cs.ITcs.LGmath.STarXiv:2608.31091v12026
Segmentation of Bovid Dentition Under Imperfect Annotations: A Comparative Study of Convolutional and Attention Models
Keith G. Mills, Evan B. Sanders, Gregory J. Matthews +1
cs.CVcs.LGarXiv:2608.31052v12026
Global Context Vision Transformers
Ali Hatamizadeh, Hongxu Yin, Greg Heinrich +2
cs.CVcs.AIcs.LGarXiv:2206.09959v52022
Machine Unlearning for Random Forests
Jonathan Brophy, Daniel Lowd
cs.LGstat.MLarXiv:2009.05567v22020
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies
Xue Bin Peng, Michael Chang, Grace Zhang +2
cs.LGstat.MLarXiv:1905.09808v12019
Implementing neural network mixed-effects models in Template Model Builder (TMB)
Nan Zheng, Hoi Yiu Cheung, Vibhu Sharma +2
stat.MLcs.LGarXiv:2608.31133v12026
"Train classical, deploy quantum" requires rethinking generalization
Snehal Raj, Natansh Mathur, Alejandro Perdomo-Ortiz
quant-phcs.LGarXiv:2608.31117v12026
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities
Shuhan Yuan, Xintao Wu
cs.CRcs.LGarXiv:2005.12433v12020
LLM Post-Training as Brownfield Maintenance: An Industrial Perspective on Dataware Engineering
Gopi Krishnan Rajbahadur, Amir M. Ebrahimi, Boyuan Chen +1
cs.SEcs.AIcs.LGarXiv:2608.31102v12026
One Adapter, Many Tasks: Task-Conditioned Feature Transformations for Continual Learning
Yunxiang Fu, Meng Lou, Yizhou Yu
cs.CVcs.LGarXiv:2608.31096v12026
Making Risk Minimization Tolerant to Label Noise
Aritra Ghosh, Naresh Manwani, P. S. Sastry
cs.LGarXiv:1403.3610v22014
PhishDef: URL Names Say It All
Anh Le, Athina Markopoulou, Michalis Faloutsos
cs.CRcs.LGcs.NIarXiv:1009.2275v12010
An Intersectional Definition of Fairness
James Foulds, Rashidul Islam, Kamrun Naher Keya +1
cs.LGcs.CYstat.MLarXiv:1807.08362v32018
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study
Aditya Siddhant, Zachary C. Lipton
cs.CLcs.LGstat.MLarXiv:1808.05697v32018
WaveFake: A Data Set to Facilitate Audio Deepfake Detection
Joel Frank, Lea Schönherr
cs.LGcs.CRcs.SDarXiv:2111.02813v12021
Cost-Efficient Large Language Model Serving for Multi-turn Conversations with CachedAttention
Bin Gao, Zhuomin He, Puru Sharma +6
cs.CLcs.LGarXiv:2403.19708v32024
On the Importance of Noise Scheduling for Diffusion Models
Ting Chen
cs.CVcs.GRcs.LGarXiv:2301.10972v42023
Driving on Memory
Christian Löwens, Thorben Funke, Alexandru Paul Condurache
cs.CVcs.LGcs.ROarXiv:2608.31029v12026
Over-the-Air Federated Learning from Heterogeneous Data
Tomer Sery, Nir Shlezinger, Kobi Cohen +1
cs.LGcs.ITstat.MLarXiv:2009.12787v22020
Fit without fear: remarkable mathematical phenomena of deep learning through the prism of interpolation
Mikhail Belkin
stat.MLcs.LGmath.STarXiv:2105.14368v12021
Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP
Sepideh Esmaeilpour, Bing Liu, Eric Robertson +1
cs.CVcs.LGarXiv:2109.02748v32021
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models
Xiuying Wei, Yunchen Zhang, Xiangguo Zhang +5
cs.LGarXiv:2209.13325v32022
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
Yue Wu, Shuangfei Zhai, Nitish Srivastava +4
cs.LGarXiv:2105.08140v12021
Safety Screening for Voltage Control in Active Distribution Grids via Distributionally Robust Conformal Screening
Sarra Bouchkati, Petros Ellinas, Adriana Geisler +4
eess.SYcs.AIcs.LGarXiv:2608.30889v12026
CoJEPA: Combining Contrastive Learning and JEPA for Global-Local Music Representations
Gabriel Meseguer-Brocal, Yuexuan Kong, Romain Hennequin
cs.SDcs.AIcs.LGarXiv:2608.30974v12026
Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization
Myung-Joon Kwon, Seung-Hun Nam, In-Jae Yu +2
eess.IVcs.CVcs.LGarXiv:2108.12947v22021

Machine Learning

Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings

Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder

Poisoning Attacks to Graph-Based Recommender Systems

Sub-seasonal forecasting with a large ensemble of deep-learning weather prediction models

Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images

Advancing Spiking Neural Networks towards Deep Residual Learning

LAFITE: Towards Language-Free Training for Text-to-Image Generation

Tagged Back-Translation

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning

Deep Successor Reinforcement Learning

SMELT: Scaling Laws for Compute-Matched MoE Looped Transformers

SemEval-2017 Task 3: Community Question Answering

Scalable Fair Clustering

Kolmogorov-Arnold Networks are Radial Basis Function Networks

Dynamic Model Pruning with Feedback

Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events

Document-level Relation Extraction as Semantic Segmentation

DICE: Leveraging Sparsification for Out-of-Distribution Detection

Convolutional Neural Fabrics

Spectral Methods for Data Science: A Statistical Perspective

Graph Backdoor

RanPAC: Random Projections and Pre-trained Models for Continual Learning

Bandits with concave rewards and convex knapsacks

PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation

Bayesian Optimization with Gradients

Adaptive Quantization for Deep Neural Network

Cross-domain Contrastive Learning for Unsupervised Domain Adaptation

A comparison of LSTM and GRU networks for learning symbolic sequences

Energy Demand Prediction with Federated Learning for Electric Vehicle Networks

EM^2Mem: Event-Centric Multimodal Memory for Large Language Models

Event Representations for Automated Story Generation with Deep Neural Nets

An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks

Open-Ended Learning Leads to Generally Capable Agents

General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models

Minimax bounds for watermarked and masked recursive discrete distribution estimation

Segmentation of Bovid Dentition Under Imperfect Annotations: A Comparative Study of Convolutional and Attention Models

Global Context Vision Transformers

Machine Unlearning for Random Forests

MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies

Implementing neural network mixed-effects models in Template Model Builder (TMB)

"Train classical, deploy quantum" requires rethinking generalization

Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities

LLM Post-Training as Brownfield Maintenance: An Industrial Perspective on Dataware Engineering

One Adapter, Many Tasks: Task-Conditioned Feature Transformations for Continual Learning

Making Risk Minimization Tolerant to Label Noise

PhishDef: URL Names Say It All

An Intersectional Definition of Fairness

Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study

WaveFake: A Data Set to Facilitate Audio Deepfake Detection

Cost-Efficient Large Language Model Serving for Multi-turn Conversations with CachedAttention

On the Importance of Noise Scheduling for Diffusion Models

Driving on Memory

Over-the-Air Federated Learning from Heterogeneous Data

Fit without fear: remarkable mathematical phenomena of deep learning through the prism of interpolation

Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP

Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models

Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning

Safety Screening for Voltage Control in Active Distribution Grids via Distributionally Robust Conformal Screening

CoJEPA: Combining Contrastive Learning and JEPA for Global-Local Music Representations

Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization