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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15,601 to 15,660 of 20,214

Stochastic Video Generation with a Learned Prior
Remi Denton, Rob Fergus
cs.CVcs.AIcs.LGarXiv:1802.07687v22018
Q8BERT: Quantized 8Bit BERT
Ofir Zafrir, Guy Boudoukh, Peter Izsak +1
cs.CLcs.LGarXiv:1910.06188v22019
DiD It in 87 Minutes: A Label-Free Softmax-to-Linear Adaptation of Vision Transformers for Object Detection
Huaiyuan Qin, Gabriel James Goenawan, Zihang Lin +2
cs.CVcs.LGarXiv:2608.22368v12026
Neural Machine Translation in Linear Time
Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan +3
cs.CLcs.LGarXiv:1610.10099v22016
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Claudio Michaelis, Benjamin Mitzkus, Robert Geirhos +5
cs.CVcs.LGstat.MLarXiv:1907.07484v22019
Adversarial Agents on Topology Optimization: Understanding the Fragility and Robustness of Deep Learning-based and Physics-Based Design Models under Adversarial Perturbation
Hoang Anh Nguyen, Yuan Hong, Hongyi Xu
cs.LGarXiv:2608.22606v12026
Multi-Object Representation Learning with Iterative Variational Inference
Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra +6
cs.LGcs.CVstat.MLarXiv:1903.00450v32019
Attention in Natural Language Processing
Andrea Galassi, Marco Lippi, Paolo Torroni
cs.CLcs.AIcs.LGarXiv:1902.02181v42019
Learning without Memorizing
Prithviraj Dhar, Rajat Vikram Singh, Kuan-Chuan Peng +2
cs.CVcs.LGarXiv:1811.08051v22018
LLM Evaluation on Unseen Questions: Contextual Multidimensional IRT Model
Ergan Shang, Weijing Tang, Yinqiu He
cs.CLcs.AIcs.LGarXiv:2608.22295v12026
D$^3$-MOPD: Adaptive Dynamic Domain ScheDuling for Efficient Multi-Teacher Distillation
Zechen Sun, Zhiwei Zhang, Fei Zhao +7
cs.LGcs.AIarXiv:2608.24987v12026
Wireless Network Intelligence at the Edge
Jihong Park, Sumudu Samarakoon, Mehdi Bennis +1
cs.ITcs.LGcs.NIarXiv:1812.02858v22018
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
Rakshit Trivedi, Hanjun Dai, Yichen Wang +1
cs.AIcs.CLcs.LGarXiv:1705.05742v32017
CD-LoRA: Consistency-Driven Low-Rank Adaptation for Multi-Task Fine-Tuning
Qian Zha, Jinda Liu, Yuan Wu +1
cs.LGarXiv:2608.21909v12026
Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph
Cong Fu, Chao Xiang, Changxu Wang +1
cs.LGarXiv:1707.00143v102017
On Kernelized Multi-armed Bandits
Sayak Ray Chowdhury, Aditya Gopalan
cs.LGarXiv:1704.00445v22017
Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth
Yihe Dong, Jean-Baptiste Cordonnier, Andreas Loukas
cs.LGarXiv:2103.03404v22021
Classifying Relations by Ranking with Convolutional Neural Networks
Cicero Nogueira dos Santos, Bing Xiang, Bowen Zhou
cs.CLcs.LGcs.NEarXiv:1504.06580v22015
C-RNN-GAN: Continuous recurrent neural networks with adversarial training
Olof Mogren
cs.AIcs.LGarXiv:1611.09904v12016
Who Should Teach? Confidence-Aware Dual-Teacher Learning for Few-Shot Node Classification on Text-Attributed Graphs
Hojin Kim, Sujin Yoon, Sungsu Lim +2
cs.LGcs.SIarXiv:2608.22127v12026
Conditional validity of inductive conformal predictors
Vladimir Vovk
cs.LGarXiv:1209.2673v22012
Spatiotemporal Contrastive Video Representation Learning
Rui Qian, Tianjian Meng, Boqing Gong +4
cs.CVcs.LGarXiv:2008.03800v42020
Read, Write, Relax: Why Neural PDE Surrogates Need Both Global and Local Processing
Anuj Kumar, Heiko Zimmermann, Josiah Bjorgaard +4
cs.LGcs.AIcs.CEarXiv:2608.21677v12026
CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X
Qinkai Zheng, Xiao Xia, Xu Zou +10
cs.LGcs.AIcs.SEarXiv:2303.17568v22023
Revisiting the Calibration of Modern Neural Networks
Matthias Minderer, Josip Djolonga, Rob Romijnders +5
cs.LGcs.CVarXiv:2106.07998v22021
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills
Xue Bin Peng, Pieter Abbeel, Sergey Levine +1
cs.GRcs.AIcs.LGarXiv:1804.02717v32018
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah +117
cs.CYcs.AIcs.CVarXiv:2309.12325v32023
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups
Risi Kondor, Shubhendu Trivedi
stat.MLcs.LGarXiv:1802.03690v32018
Learning from Noisy Labels with Distillation
Yuncheng Li, Jianchao Yang, Yale Song +3
cs.CVcs.LGstat.MLarXiv:1703.02391v22017
EDGE: Experience-Distillation for Guided Exploration in Agentic Reinforcement Learning
Can Xie, Yuyi Zhou, Wen Yang +5
cs.CLcs.AIcs.LGarXiv:2608.21946v22026
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation
Yuanfeng Ji, Haotian Bai, Jie Yang +8
eess.IVcs.CVcs.LGarXiv:2206.08023v32022
CORe50: a New Dataset and Benchmark for Continuous Object Recognition
Vincenzo Lomonaco, Davide Maltoni
cs.CVcs.AIcs.LGarXiv:1705.03550v12017
Training generative neural networks via Maximum Mean Discrepancy optimization
Gintare Karolina Dziugaite, Daniel M. Roy, Zoubin Ghahramani
stat.MLcs.LGarXiv:1505.03906v12015
ToSCA: Leveraging Hierarchical Reinforcement Learning on Temporal and Strategic Abstractions of Conversational Agents
Xiaoyu Wang, Qingqing Gu, Yue Zhao +5
cs.CLcs.HCcs.LGarXiv:2608.21969v12026
Implicit Regularization in Matrix Factorization
Suriya Gunasekar, Blake Woodworth, Srinadh Bhojanapalli +2
stat.MLcs.LGarXiv:1705.09280v12017
ALPHABET: A Laplace-Pole History Aggregator with Banked Exponential Transport
Daehwa Ko, JaeHyeon Kim, Oh Seong Kwon +1
cs.LGarXiv:2608.24051v12026
Learning Distributed Representations of Sentences from Unlabelled Data
Felix Hill, Kyunghyun Cho, Anna Korhonen
cs.CLcs.LGarXiv:1602.03483v12016
Escaping the Big Data Paradigm with Compact Transformers
Ali Hassani, Steven Walton, Nikhil Shah +3
cs.CVcs.LGarXiv:2104.05704v42021
Spectral Pre-Filtering for Context-Adaptive Sensor Fusion: A Four-Role FFT-GDCB Integration for High-Stakes Decision Systems
Oleg Miroshnichenko
cs.LGarXiv:2608.22023v12026
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
Maria De-Arteaga, Alexey Romanov, Hanna Wallach +6
cs.IRcs.LGstat.MLarXiv:1901.09451v12019
VIMA: General Robot Manipulation with Multimodal Prompts
Yunfan Jiang, Agrim Gupta, Zichen Zhang +7
cs.ROcs.AIcs.LGarXiv:2210.03094v22022
MDTE: Minority-Aware Diffusion over Temporal Edge Events for Imbalanced Node Classification
Zhou Zelong, Zhang Tianming, Yang Zhengyi +4
cs.LGarXiv:2608.24812v12026
Mode Regularized Generative Adversarial Networks
Tong Che, Yanran Li, Athul Paul Jacob +2
cs.LGcs.AIcs.CVarXiv:1612.02136v52016
Steerable CNNs
Taco S. Cohen, Max Welling
cs.LGstat.MLarXiv:1612.08498v12016
Summaries:한국어
Recovering Weighted Tangent Geometry from a Single-Scale Score Field
Ziqi Zhao, Qingjian Ni
stat.MLcs.LGarXiv:2608.22334v12026
Width-Independent Compressibility of Deep Neural Networks
Hong-Yi Wang, Mingze Wang, Liu Ziyin
cs.LGcond-mat.dis-nncs.ITarXiv:2608.21752v12026
The Blending Ratio Is Not Where the Performance Is: Diagnosing Prototype Blending for Few-Shot Adaptation of Vision-Language Models
Liangzhi Li, Bowen Wang, Yiming Qian +3
cs.CVcs.LGarXiv:2608.23634v12026
ChainPrune: Evaluating and Reducing Redundancy in Long Chain-of-Thought Reasoning
Weihang Pan, Zhengxu Yu, Yuxiang Zhang +5
cs.LGcs.AIarXiv:2608.21860v12026
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning
Yeming Wen, Dustin Tran, Jimmy Ba
cs.LGstat.MLarXiv:2002.06715v22020
Unsupervised Discovery of Mid-Level Discriminative Patches
Saurabh Singh, Abhinav Gupta, Alexei A. Efros
cs.CVcs.AIcs.LGarXiv:1205.3137v22012
clDice -- A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation
Suprosanna Shit, Johannes C. Paetzold, Anjany Sekuboyina +6
cs.CVcs.LGeess.IVarXiv:2003.07311v72020
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations
Pramuditha Perera, Ramesh Nallapati, Bing Xiang
cs.CVcs.LGarXiv:1903.08550v12019
(More) Efficient Reinforcement Learning via Posterior Sampling
Ian Osband, Daniel Russo, Benjamin Van Roy
stat.MLcs.LGarXiv:1306.0940v52013
Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation
Micah J Sheller, G Anthony Reina, Brandon Edwards +2
cs.LGstat.MLarXiv:1810.04304v22018
Improving Generalization Performance by Switching from Adam to SGD
Nitish Shirish Keskar, Richard Socher
cs.LGmath.OCarXiv:1712.07628v12017
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models
Sergey Ioffe
cs.LGarXiv:1702.03275v22017
Differentially Private Generative Adversarial Network
Liyang Xie, Kaixiang Lin, Shu Wang +2
cs.LGcs.CRstat.MLarXiv:1802.06739v12018
Replicable Conformal Prediction
Marios Papamichalis, Regina Ruane, Theofanis Papamichalis
stat.MLcs.LGarXiv:2608.23638v12026
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis
Maxim Raginsky, Alexander Rakhlin, Matus Telgarsky
cs.LGmath.OCmath.PRarXiv:1702.03849v32017
Lexical Perturbations Disrupt LLM Reasoning: An Empirical Study of Attention Diversion
Jiaqian Zhu, Yang Zhang, Junhua Ding +1
cs.CLcs.AIcs.LGarXiv:2608.22140v12026

Machine Learning

Stochastic Video Generation with a Learned Prior

Q8BERT: Quantized 8Bit BERT

DiD It in 87 Minutes: A Label-Free Softmax-to-Linear Adaptation of Vision Transformers for Object Detection

Neural Machine Translation in Linear Time

Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Adversarial Agents on Topology Optimization: Understanding the Fragility and Robustness of Deep Learning-based and Physics-Based Design Models under Adversarial Perturbation

Multi-Object Representation Learning with Iterative Variational Inference

Attention in Natural Language Processing

Learning without Memorizing

LLM Evaluation on Unseen Questions: Contextual Multidimensional IRT Model

D$^3$-MOPD: Adaptive Dynamic Domain ScheDuling for Efficient Multi-Teacher Distillation

Wireless Network Intelligence at the Edge

Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs

CD-LoRA: Consistency-Driven Low-Rank Adaptation for Multi-Task Fine-Tuning

Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph

On Kernelized Multi-armed Bandits

Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth

Classifying Relations by Ranking with Convolutional Neural Networks

C-RNN-GAN: Continuous recurrent neural networks with adversarial training

Who Should Teach? Confidence-Aware Dual-Teacher Learning for Few-Shot Node Classification on Text-Attributed Graphs

Conditional validity of inductive conformal predictors

Spatiotemporal Contrastive Video Representation Learning

Read, Write, Relax: Why Neural PDE Surrogates Need Both Global and Local Processing

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Revisiting the Calibration of Modern Neural Networks

DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups

Learning from Noisy Labels with Distillation

EDGE: Experience-Distillation for Guided Exploration in Agentic Reinforcement Learning

AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

CORe50: a New Dataset and Benchmark for Continuous Object Recognition

Training generative neural networks via Maximum Mean Discrepancy optimization

ToSCA: Leveraging Hierarchical Reinforcement Learning on Temporal and Strategic Abstractions of Conversational Agents

Implicit Regularization in Matrix Factorization

ALPHABET: A Laplace-Pole History Aggregator with Banked Exponential Transport

Learning Distributed Representations of Sentences from Unlabelled Data

Escaping the Big Data Paradigm with Compact Transformers

Spectral Pre-Filtering for Context-Adaptive Sensor Fusion: A Four-Role FFT-GDCB Integration for High-Stakes Decision Systems

Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting

VIMA: General Robot Manipulation with Multimodal Prompts

MDTE: Minority-Aware Diffusion over Temporal Edge Events for Imbalanced Node Classification

Mode Regularized Generative Adversarial Networks

Steerable CNNs

Recovering Weighted Tangent Geometry from a Single-Scale Score Field

Width-Independent Compressibility of Deep Neural Networks

The Blending Ratio Is Not Where the Performance Is: Diagnosing Prototype Blending for Few-Shot Adaptation of Vision-Language Models

ChainPrune: Evaluating and Reducing Redundancy in Long Chain-of-Thought Reasoning

BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning

Unsupervised Discovery of Mid-Level Discriminative Patches

clDice -- A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation

OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations

(More) Efficient Reinforcement Learning via Posterior Sampling

Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation

Improving Generalization Performance by Switching from Adam to SGD

Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models

Differentially Private Generative Adversarial Network

Replicable Conformal Prediction

Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis

Lexical Perturbations Disrupt LLM Reasoning: An Empirical Study of Attention Diversion