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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8,821 to 8,880 of 20,454

Deep Learning for Human Affect Recognition: Insights and New Developments
Philipp V. Rouast, Marc T. P. Adam, Raymond Chiong
cs.LGcs.AIcs.CVarXiv:1901.02884v12019
A Survey of Deep Learning for Mathematical Reasoning
Pan Lu, Liang Qiu, Wenhao Yu +2
cs.AIcs.CLcs.CVarXiv:2212.10535v22022
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study
Samuel Ritter, David G. T. Barrett, Adam Santoro +1
stat.MLcs.CVcs.LGarXiv:1706.08606v22017
Could a Large Language Model be Conscious?
David J. Chalmers
cs.AIcs.CLcs.LGarXiv:2303.07103v32023
Loss Aware Post-training Quantization
Yury Nahshan, Brian Chmiel, Chaim Baskin +4
cs.LGcs.CVarXiv:1911.07190v22019
Learning Neural Templates for Text Generation
Sam Wiseman, Stuart M. Shieber, Alexander M. Rush
cs.CLcs.LGarXiv:1808.10122v32018
One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation
Chenhong Zhou, Changxing Ding, Xinchao Wang +2
cs.CVcs.AIcs.LGarXiv:1906.01796v22019
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models
Lifu Tu, Garima Lalwani, Spandana Gella +1
cs.CLcs.LGarXiv:2007.06778v32020
Counterfactual Memorization in Neural Language Models
Chiyuan Zhang, Daphne Ippolito, Katherine Lee +3
cs.CLcs.AIcs.LGarXiv:2112.12938v22021
A Simple Exponential Family Framework for Zero-Shot Learning
Vinay Kumar Verma, Piyush Rai
cs.LGcs.CVstat.MLarXiv:1707.08040v32017
Embodied Question Answering in Photorealistic Environments with Point Cloud Perception
Erik Wijmans, Samyak Datta, Oleksandr Maksymets +6
cs.CVcs.AIcs.CLarXiv:1904.03461v12019
The Ingredients of Real-World Robotic Reinforcement Learning
Henry Zhu, Justin Yu, Abhishek Gupta +5
cs.LGcs.ROstat.MLarXiv:2004.12570v12020
Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities
Zheng Lin, Guanqiao Qu, Qiyuan Chen +3
cs.LGcs.AIarXiv:2309.16739v42023
Efficient Guided Generation for Large Language Models
Brandon T. Willard, Rémi Louf
cs.CLcs.LGarXiv:2307.09702v42023
Hearing the Whispers: Black-Box Membership Inference Attacks on Finetuned TTS Models
Kunlin Cai, Kaiyuan Zhang, Zihang Xiang +4
cs.CRcs.LGcs.SDarXiv:2609.01723v12026
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks
Jianhong Wang, Wangkun Xu, Yunjie Gu +2
cs.LGcs.MAarXiv:2110.14300v52021
Don't forget, there is more than forgetting: new metrics for Continual Learning
Natalia Díaz-Rodríguez, Vincenzo Lomonaco, David Filliat +1
cs.AIcs.CVcs.LGarXiv:1810.13166v12018
FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC
Rongfei Zeng, Shixun Zhang, Jiaqi Wang +1
cs.LGcs.GTstat.MLarXiv:2002.09699v12020
Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings
Haoran Zhang, Amy X. Lu, Mohamed Abdalla +2
cs.CLcs.CYcs.LGarXiv:2003.11515v12020
Generative Image Modeling Using Spatial LSTMs
Lucas Theis, Matthias Bethge
stat.MLcs.CVcs.LGarXiv:1506.03478v22015
Distributed Learning with Compressed Gradient Differences
Konstantin Mishchenko, Eduard Gorbunov, Martin Takáč +1
cs.LGmath.OCstat.MLarXiv:1901.09269v32019
Model-based Reinforcement Learning and the Eluder Dimension
Ian Osband, Benjamin Van Roy
stat.MLcs.LGarXiv:1406.1853v22014
ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection
Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen +3
cs.LGcs.CRarXiv:2110.07317v32021
Unsupervised Multi-Task Feature Learning on Point Clouds
Kaveh Hassani, Mike Haley
cs.CVcs.LGarXiv:1910.08207v12019
Manifold-Aware General Coded Computing for Straggler-Resilient Distributed Computing
Parsa Moradi, Mohammad Ali Maddah-Ali
cs.LGcs.ITarXiv:2609.00552v12026
OR-Transformer: Scaling Real-Time Decision-Making to 1,000 Items
Shuze Daniel Liu, David Simchi-Levi, Claire Chen +2
cs.LGarXiv:2609.01933v12026
Interpretable Adversarial Perturbation in Input Embedding Space for Text
Motoki Sato, Jun Suzuki, Hiroyuki Shindo +1
cs.LGcs.CLstat.MLarXiv:1805.02917v12018
DRAMA: Joint Risk Localization and Captioning in Driving
Srikanth Malla, Chiho Choi, Isht Dwivedi +2
cs.CVcs.AIcs.LGarXiv:2209.10767v22022
Non-Local Graph Neural Networks
Meng Liu, Zhengyang Wang, Shuiwang Ji
cs.LGstat.MLarXiv:2005.14612v22020
A Unified View on Graph Neural Networks as Graph Signal Denoising
Yao Ma, Xiaorui Liu, Tong Zhao +3
cs.LGstat.MLarXiv:2010.01777v22020
Data-dependent Initializations of Convolutional Neural Networks
Philipp Krähenbühl, Carl Doersch, Jeff Donahue +1
cs.CVcs.LGarXiv:1511.06856v32015
MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients
Xiaoyu Cao, Neil Zhenqiang Gong
cs.CRcs.LGarXiv:2203.08669v22022
Exact Risk-Complexity Laws for Projective Boundaries in Scenario Optimization and Distribution-Free Certification
Giuseppe C. Calafiore
eess.SYcs.LGmath.OCarXiv:2609.01355v12026
A Mathematical Theory of Reusable Neural Bases for Network Compression
Binshuai Wang, Peng Wei
cs.LGcs.AIarXiv:2609.01550v22026
FCN-Transformer Feature Fusion for Polyp Segmentation
Edward Sanderson, Bogdan J. Matuszewski
eess.IVcs.CVcs.LGarXiv:2208.08352v12022
Self-paced Ensemble for Highly Imbalanced Massive Data Classification
Zhining Liu, Wei Cao, Zhifeng Gao +4
cs.LGcs.AIstat.MLarXiv:1909.03500v32019
Panoptic Lifting for 3D Scene Understanding with Neural Fields
Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Buló +4
cs.CVcs.LGarXiv:2212.09802v12022
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
Kilian Fatras, Thibault Séjourné, Nicolas Courty +1
cs.LGmath.STstat.MLarXiv:2103.03606v12021
Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud
Ji Wang, Jianguo Zhang, Weidong Bao +3
cs.LGcs.AIcs.DCarXiv:1809.03428v32018
Optimal Schemes for Discrete Distribution Estimation under Locally Differential Privacy
Min Ye, Alexander Barg
cs.LGcs.ITarXiv:1702.00610v12017
CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL
Mohammadreza Pourreza, Hailong Li, Ruoxi Sun +7
cs.LGcs.AIcs.CLarXiv:2410.01943v12024
PaperQA: Retrieval-Augmented Generative Agent for Scientific Research
Jakub Lála, Odhran O'Donoghue, Aleksandar Shtedritski +3
cs.CLcs.AIcs.LGarXiv:2312.07559v22023
An Intuitive Tutorial to Gaussian Process Regression
Jie Wang
stat.MLcs.LGcs.ROarXiv:2009.10862v52020
Reducing hallucination in structured outputs via Retrieval-Augmented Generation
Patrice Béchard, Orlando Marquez Ayala
cs.LGcs.AIcs.CLarXiv:2404.08189v12024
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning
Benjamin Ellis, Jonathan Cook, Skander Moalla +5
cs.LGcs.MAarXiv:2212.07489v22022
Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity
Joseph Gomes, Bharath Ramsundar, Evan N. Feinberg +1
cs.LGphysics.chem-phstat.MLarXiv:1703.10603v12017
Privacy Amplification by Iteration
Vitaly Feldman, Ilya Mironov, Kunal Talwar +1
cs.LGcs.CRcs.DSarXiv:1808.06651v22018
Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network
Yutai Hou, Wanxiang Che, Yongkui Lai +4
cs.CLcs.LGarXiv:2006.05702v12020
Deep learning approach based on dimensionality reduction for designing electromagnetic nanostructures
Yashar Kiarashinejad, Sajjad Abdollahramezani, Ali Adibi
cs.LGphysics.app-phstat.MLarXiv:1902.03865v32019
Deep Learning for Post-Processing Ensemble Weather Forecasts
Peter Grönquist, Chengyuan Yao, Tal Ben-Nun +4
cs.LGeess.SPphysics.ao-pharXiv:2005.08748v22020
Deep Learning for Launching and Mitigating Wireless Jamming Attacks
Tugba Erpek, Yalin E. Sagduyu, Yi Shi
cs.NIcs.LGstat.MLarXiv:1807.02567v22018
Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP
Marcelo O. R. Prates, Pedro H. C. Avelar, Henrique Lemos +2
cs.LGcs.AIcs.NEarXiv:1809.02721v32018
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks
Avi Schwarzschild, Micah Goldblum, Arjun Gupta +2
cs.LGcs.CRcs.CVarXiv:2006.12557v32020
Continuous Graph Neural Networks
Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang
cs.LGstat.MLarXiv:1912.00967v32019
A Deep Value-network Based Approach for Multi-Driver Order Dispatching
Xiaocheng Tang, Zhiwei Qin, Fan Zhang +5
cs.LGcs.AIarXiv:2106.04493v12021
SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing
Haonan Qiu, Chaowei Xiao, Lei Yang +3
cs.LGcs.CRcs.CVarXiv:1906.07927v42019
Streaming automatic speech recognition with the transformer model
Niko Moritz, Takaaki Hori, Jonathan Le Roux
cs.SDcs.CLcs.LGarXiv:2001.02674v52020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization
Rui Wang, Robin Walters, Rose Yu
cs.LGmath.RTstat.MLarXiv:2002.03061v42020
Emformer: Efficient Memory Transformer Based Acoustic Model For Low Latency Streaming Speech Recognition
Yangyang Shi, Yongqiang Wang, Chunyang Wu +5
cs.SDcs.CLcs.LGarXiv:2010.10759v42020
LatentPress: Context Compression Beyond Text and Vision
Zhengze Zhou, Hejian Sang
cs.LGcs.AIarXiv:2609.01507v22026

Machine Learning

Deep Learning for Human Affect Recognition: Insights and New Developments

A Survey of Deep Learning for Mathematical Reasoning

Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study

Could a Large Language Model be Conscious?

Loss Aware Post-training Quantization

Learning Neural Templates for Text Generation

One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation

An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models

Counterfactual Memorization in Neural Language Models

A Simple Exponential Family Framework for Zero-Shot Learning

Embodied Question Answering in Photorealistic Environments with Point Cloud Perception

The Ingredients of Real-World Robotic Reinforcement Learning

Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Efficient Guided Generation for Large Language Models

Hearing the Whispers: Black-Box Membership Inference Attacks on Finetuned TTS Models

Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks

Don't forget, there is more than forgetting: new metrics for Continual Learning

FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC

Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings

Generative Image Modeling Using Spatial LSTMs

Distributed Learning with Compressed Gradient Differences

Model-based Reinforcement Learning and the Eluder Dimension

ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection

Unsupervised Multi-Task Feature Learning on Point Clouds

Manifold-Aware General Coded Computing for Straggler-Resilient Distributed Computing

OR-Transformer: Scaling Real-Time Decision-Making to 1,000 Items

Interpretable Adversarial Perturbation in Input Embedding Space for Text

DRAMA: Joint Risk Localization and Captioning in Driving

Non-Local Graph Neural Networks

A Unified View on Graph Neural Networks as Graph Signal Denoising

Data-dependent Initializations of Convolutional Neural Networks

MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients

Exact Risk-Complexity Laws for Projective Boundaries in Scenario Optimization and Distribution-Free Certification

A Mathematical Theory of Reusable Neural Bases for Network Compression

FCN-Transformer Feature Fusion for Polyp Segmentation

Self-paced Ensemble for Highly Imbalanced Massive Data Classification

Panoptic Lifting for 3D Scene Understanding with Neural Fields

Unbalanced minibatch Optimal Transport; applications to Domain Adaptation

Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud

Optimal Schemes for Discrete Distribution Estimation under Locally Differential Privacy

CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

An Intuitive Tutorial to Gaussian Process Regression

Reducing hallucination in structured outputs via Retrieval-Augmented Generation

SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning

Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity

Privacy Amplification by Iteration

Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network

Deep learning approach based on dimensionality reduction for designing electromagnetic nanostructures

Deep Learning for Post-Processing Ensemble Weather Forecasts

Deep Learning for Launching and Mitigating Wireless Jamming Attacks

Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP

Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks

Continuous Graph Neural Networks

A Deep Value-network Based Approach for Multi-Driver Order Dispatching

SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing

Streaming automatic speech recognition with the transformer model

Incorporating Symmetry into Deep Dynamics Models for Improved Generalization

Emformer: Efficient Memory Transformer Based Acoustic Model For Low Latency Streaming Speech Recognition

LatentPress: Context Compression Beyond Text and Vision