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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9,721 to 9,780 of 20,215

From data to functa: Your data point is a function and you can treat it like one
Emilien Dupont, Hyunjik Kim, S. M. Ali Eslami +2
cs.LGarXiv:2201.12204v32022
Towards Multi-spatiotemporal-scale Generalized PDE Modeling
Jayesh K. Gupta, Johannes Brandstetter
cs.LGcs.CVarXiv:2209.15616v22022
Collaborating with Humans without Human Data
DJ Strouse, Kevin R. McKee, Matt Botvinick +2
cs.LGcs.HCcs.MAarXiv:2110.08176v22021
A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances
Fan Zhou, Xovee Xu, Goce Trajcevski +1
cs.SIcs.IRcs.LGarXiv:2005.11041v32020
Unsupervised Feature Selection with Adaptive Structure Learning
Liang Du, Yi-Dong Shen
cs.LGarXiv:1504.00736v12015
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
Tsendsuren Munkhdalai, Manaal Faruqui, Siddharth Gopal
cs.CLcs.AIcs.LGarXiv:2404.07143v22024
Revisiting Model Stitching to Compare Neural Representations
Yamini Bansal, Preetum Nakkiran, Boaz Barak
cs.LGstat.MLarXiv:2106.07682v12021
Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools
Anh Truong, Austin Walters, Jeremy Goodsitt +3
cs.LGstat.MLarXiv:1908.05557v22019
Large Language Models with Controllable Working Memory
Daliang Li, Ankit Singh Rawat, Manzil Zaheer +5
cs.CLcs.AIcs.LGarXiv:2211.05110v12022
Toward Intelligent Vehicular Networks: A Machine Learning Framework
Le Liang, Hao Ye, Geoffrey Ye Li
cs.ITcs.LGstat.MLarXiv:1804.00338v32018
A Generic Coordinate Descent Framework for Learning from Implicit Feedback
Immanuel Bayer, Xiangnan He, Bhargav Kanagal +1
cs.IRcs.LGarXiv:1611.04666v12016
From CNN to Transformer: A Review of Medical Image Segmentation Models
Wenjian Yao, Jiajun Bai, Wei Liao +3
eess.IVcs.CVcs.LGarXiv:2308.05305v12023
Failures of Gradient-Based Deep Learning
Shai Shalev-Shwartz, Ohad Shamir, Shaked Shammah
cs.LGcs.NEstat.MLarXiv:1703.07950v22017
Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving
Nemanja Djuric, Vladan Radosavljevic, Henggang Cui +5
cs.LGcs.CVcs.ROarXiv:1808.05819v32018
Adversarial Calibration Attack on Autonomous Vehicles
Liangkai Liu, Qingzhao Zhang, Kang G. Shin
cs.ROcs.CVcs.ETarXiv:2608.28778v12026
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Minghuan Liu, Menghui Zhu, Weinan Zhang
cs.AIcs.LGarXiv:2201.08299v32022
Highway and Residual Networks learn Unrolled Iterative Estimation
Klaus Greff, Rupesh K. Srivastava, Jürgen Schmidhuber
cs.NEcs.AIcs.LGarXiv:1612.07771v32016
EMMA: End-to-End Multimodal Model for Autonomous Driving
Jyh-Jing Hwang, Runsheng Xu, Hubert Lin +11
cs.CVcs.AIcs.CLarXiv:2410.23262v32024
FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
Yangyang Yu, Haohang Li, Zhi Chen +6
q-fin.CPcs.AIcs.CEarXiv:2311.13743v22023
NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion
Jiatao Gu, Alex Trevithick, Kai-En Lin +4
cs.CVcs.LGarXiv:2302.10109v12023
Discriminative Adversarial Domain Adaptation
Hui Tang, Kui Jia
cs.CVcs.LGarXiv:1911.12036v22019
Signed random Fourier features for fast density estimation with indefinite kernels
Xie Wang, Nicolas Langrené, Wen Chen
stat.COcs.LGmath.PRarXiv:2608.29265v12026
Improved Protein-ligand Binding Affinity Prediction with Structure-Based Deep Fusion Inference
Derek Jones, Hyojin Kim, Xiaohua Zhang +7
q-bio.BMcs.LGarXiv:2005.07704v12020
UI-Venus-2 Technical Report
Venus Team, Zhuohan Cai, Haoxing Chen +28
cs.AIcs.CLcs.CVarXiv:2609.00028v12026
Safin-1: Safety from Within through Memory-Native State Evolution
Ming Zhang, Kaisen Yang, Shu Yu +15
cs.LGarXiv:2609.00092v12026
AdaGAN: Boosting Generative Models
Ilya Tolstikhin, Sylvain Gelly, Olivier Bousquet +2
stat.MLcs.LGarXiv:1701.02386v22017
BLAZE: Blazing Fast Privacy-Preserving Machine Learning
Arpita Patra, Ajith Suresh
cs.CRcs.LGarXiv:2005.09042v12020
RedPajama: an Open Dataset for Training Large Language Models
Maurice Weber, Daniel Fu, Quentin Anthony +16
cs.CLcs.LGarXiv:2411.12372v12024
Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging
Luis Muñoz-González, Kenneth T. Co, Emil C. Lupu
stat.MLcs.DCcs.LGarXiv:1909.05125v12019
Protein Design with Guided Discrete Diffusion
Nate Gruver, Samuel Stanton, Nathan C. Frey +6
cs.LGq-bio.BMarXiv:2305.20009v22023
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

Machine Learning

From data to functa: Your data point is a function and you can treat it like one

Towards Multi-spatiotemporal-scale Generalized PDE Modeling

Collaborating with Humans without Human Data

A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances

Unsupervised Feature Selection with Adaptive Structure Learning

Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention

Revisiting Model Stitching to Compare Neural Representations

Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools

Large Language Models with Controllable Working Memory

Toward Intelligent Vehicular Networks: A Machine Learning Framework

A Generic Coordinate Descent Framework for Learning from Implicit Feedback

From CNN to Transformer: A Review of Medical Image Segmentation Models

Failures of Gradient-Based Deep Learning

Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving

Adversarial Calibration Attack on Autonomous Vehicles

Goal-Conditioned Reinforcement Learning: Problems and Solutions

Highway and Residual Networks learn Unrolled Iterative Estimation

EMMA: End-to-End Multimodal Model for Autonomous Driving

FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design

NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion

Discriminative Adversarial Domain Adaptation

Signed random Fourier features for fast density estimation with indefinite kernels

Improved Protein-ligand Binding Affinity Prediction with Structure-Based Deep Fusion Inference

UI-Venus-2 Technical Report

Safin-1: Safety from Within through Memory-Native State Evolution

AdaGAN: Boosting Generative Models

BLAZE: Blazing Fast Privacy-Preserving Machine Learning

RedPajama: an Open Dataset for Training Large Language Models

Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging

Protein Design with Guided Discrete Diffusion

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