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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30,301 to 30,360 of 32,940

Gender bias and stereotypes in Large Language Models
Hadas Kotek, Rikker Dockum, David Q. Sun
cs.CLcs.CYcs.LGarXiv:2308.14921v12023
ExpeL: LLM Agents Are Experiential Learners
Andrew Zhao, Daniel Huang, Quentin Xu +3
cs.LGcs.AIcs.CLarXiv:2308.10144v32023
InstructPix2Pix: Learning to Follow Image Editing Instructions
Tim Brooks, Aleksander Holynski, Alexei A. Efros
cs.CVcs.AIcs.CLarXiv:2211.09800v22022
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms
Anthony Francis, Claudia Pérez-D'Arpino, Chengshu Li +28
cs.ROcs.AIcs.HCarXiv:2306.16740v42023
Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models
Rongjie Huang, Jiawei Huang, Dongchao Yang +7
cs.SDcs.LGcs.MMarXiv:2301.12661v12023
Test-Time Training on Nearest Neighbors for Large Language Models
Moritz Hardt, Yu Sun
cs.CLcs.LGarXiv:2305.18466v32023
Artificial Intelligence-Based Methods for Fusion of Electronic Health Records and Imaging Data
Farida Mohsen, Hazrat Ali, Nady El Hajj +1
cs.LGcs.AIcs.CVarXiv:2210.13462v12022
Efficiently Scaling Transformer Inference
Reiner Pope, Sholto Douglas, Aakanksha Chowdhery +7
cs.LGcs.CLarXiv:2211.05102v12022
Fast Distributed Inference Serving for Large Language Models
Bingyang Wu, Yinmin Zhong, Zili Zhang +6
cs.LGcs.DCarXiv:2305.05920v32023
ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding
Uri Shaham, Maor Ivgi, Avia Efrat +2
cs.CLcs.AIcs.LGarXiv:2305.14196v32023
Perception Test: A Diagnostic Benchmark for Multimodal Video Models
Viorica Pătrăucean, Lucas Smaira, Ankush Gupta +21
cs.CVcs.AIcs.LGarXiv:2305.13786v22023
Point-E: A System for Generating 3D Point Clouds from Complex Prompts
Alex Nichol, Heewoo Jun, Prafulla Dhariwal +2
cs.CVcs.LGarXiv:2212.08751v12022
LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities
Yuqi Zhu, Xiaohan Wang, Jing Chen +6
cs.CLcs.AIcs.DBarXiv:2305.13168v42023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
Jie Liu, Yixiao Zhang, Jie-Neng Chen +7
eess.IVcs.CVcs.LGarXiv:2301.00785v52023
Few-shot training LLMs for project-specific code-summarization
Toufique Ahmed, Premkumar Devanbu
cs.SEcs.LGarXiv:2207.04237v22022
PaLI-X: On Scaling up a Multilingual Vision and Language Model
Xi Chen, Josip Djolonga, Piotr Padlewski +40
cs.CVcs.CLcs.LGarXiv:2305.18565v12023
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA
James Seale Smith, Yen-Chang Hsu, Lingyu Zhang +4
cs.CVcs.AIcs.LGarXiv:2304.06027v22023
Real-World Robot Learning with Masked Visual Pre-training
Ilija Radosavovic, Tete Xiao, Stephen James +3
cs.ROcs.CVcs.LGarXiv:2210.03109v12022
Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single Demonstration
Edward Johns
cs.ROcs.LGarXiv:2105.06411v22021
VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset
Sihan Chen, Handong Li, Qunbo Wang +4
cs.CVcs.AIcs.CLarXiv:2305.18500v22023
Machine Learning for Microcontroller-Class Hardware: A Review
Swapnil Sayan Saha, Sandeep Singh Sandha, Mani Srivastava
cs.LGarXiv:2205.14550v52022
SenseFi: A Library and Benchmark on Deep-Learning-Empowered WiFi Human Sensing
Jianfei Yang, Xinyan Chen, Dazhuo Wang +4
cs.LGcs.AIeess.SParXiv:2207.07859v32022
A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation
Azal Ahmad Khan, Omkar Chaudhari, Rohitash Chandra
cs.LGcs.AIstat.MLarXiv:2304.02858v32023
Poisoning Language Models During Instruction Tuning
Alexander Wan, Eric Wallace, Sheng Shen +1
cs.CLcs.CRcs.LGarXiv:2305.00944v12023
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models
Adam Liška, Tomáš Kočiský, Elena Gribovskaya +11
cs.CLcs.LGarXiv:2205.11388v12022
Dawn of the transformer era in speech emotion recognition: closing the valence gap
Johannes Wagner, Andreas Triantafyllopoulos, Hagen Wierstorf +4
eess.AScs.LGcs.SDarXiv:2203.07378v42022
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos
Bowen Baker, Ilge Akkaya, Peter Zhokhov +6
cs.LGcs.AIarXiv:2206.11795v12022
CORL: Research-oriented Deep Offline Reinforcement Learning Library
Denis Tarasov, Alexander Nikulin, Dmitry Akimov +2
cs.LGcs.AIarXiv:2210.07105v42022
Online Task Adaptation via Self-Organisation
Krsto Proroković
cs.LGcs.NEarXiv:2609.29281v12026
Loss of Plasticity in Continual Deep Reinforcement Learning
Zaheer Abbas, Rosie Zhao, Joseph Modayil +2
cs.LGcs.AIarXiv:2303.07507v12023
GHOST-Q: Towards Studying Grounding Hallucinations Overlooked Under Same-score TradeOffs in Quantized VLMS
Saim Rehman, Muhammad Shafique
cs.CVcs.AIcs.LGarXiv:2609.29999v12026
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
Yongliang Shen, Kaitao Song, Xu Tan +3
cs.CLcs.AIcs.CVarXiv:2303.17580v42023
ADD 2022: the First Audio Deep Synthesis Detection Challenge
Jiangyan Yi, Ruibo Fu, Jianhua Tao +17
cs.SDcs.LGeess.ASarXiv:2202.08433v32022
Knowledge Distillation from A Stronger Teacher
Tao Huang, Shan You, Fei Wang +2
cs.CVcs.AIcs.LGarXiv:2205.10536v32022
How Generative AI models such as ChatGPT can be (Mis)Used in SPC Practice, Education, and Research? An Exploratory Study
Fadel M. Megahed, Ying-Ju Chen, Joshua A. Ferris +2
cs.LGarXiv:2302.10916v12023
Extracting Latent Steering Vectors from Pretrained Language Models
Nishant Subramani, Nivedita Suresh, Matthew E. Peters
cs.CLcs.AIcs.LGarXiv:2205.05124v12022
ChronoR: Rotation Based Temporal Knowledge Graph Embedding
Ali Sadeghian, Mohammadreza Armandpour, Anthony Colas +1
cs.LGcs.SCarXiv:2103.10379v12021
When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories
Alex Mallen, Akari Asai, Victor Zhong +3
cs.CLcs.AIcs.LGarXiv:2212.10511v42022
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
Shayne Longpre, Le Hou, Tu Vu +8
cs.AIcs.CLcs.LGarXiv:2301.13688v22023
Large Language Models Are Reasoning Teachers
Namgyu Ho, Laura Schmid, Se-Young Yun
cs.CLcs.AIcs.LGarXiv:2212.10071v22022
Simple diffusion: End-to-end diffusion for high resolution images
Emiel Hoogeboom, Jonathan Heek, Tim Salimans
cs.CVcs.LGstat.MLarXiv:2301.11093v22023
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
Axel Sauer, Tero Karras, Samuli Laine +2
cs.LGcs.CVarXiv:2301.09515v12023
A Tutorial on Meta-Reinforcement Learning
Jacob Beck, Risto Vuorio, Evan Zheran Liu +4
cs.LGarXiv:2301.08028v42023
SinDDM: A Single Image Denoising Diffusion Model
Vladimir Kulikov, Shahar Yadin, Matan Kleiner +1
cs.CVcs.LGeess.IVarXiv:2211.16582v32022
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation
Qing Xu, Zhicheng Ma, Na HE +1
eess.IVcs.AIcs.CVarXiv:2202.00972v22022
Benchmarking Large Language Models for News Summarization
Tianyi Zhang, Faisal Ladhak, Esin Durmus +3
cs.CLcs.AIcs.LGarXiv:2301.13848v12023
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals
Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis +1
cs.CVcs.LGarXiv:2102.06191v32021
Real-Time Digital Twins: Vision and Research Directions for 6G and Beyond
Ahmed Alkhateeb, Shuaifeng Jiang, Gouranga Charan
eess.SPcs.ITcs.LGarXiv:2301.11283v12023
CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks
Oier Mees, Lukas Hermann, Erick Rosete-Beas +1
cs.ROcs.AIcs.CLarXiv:2112.03227v42021
MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation
Federico Cassano, John Gouwar, Daniel Nguyen +10
cs.LGcs.PLarXiv:2208.08227v42022
Textless Speech-to-Speech Translation on Real Data
Ann Lee, Hongyu Gong, Paul-Ambroise Duquenne +8
cs.CLcs.AIcs.LGarXiv:2112.08352v22021
Artificial Intelligence for the Metaverse: A Survey
Thien Huynh-The, Quoc-Viet Pham, Xuan-Qui Pham +3
cs.CYcs.AIcs.LGarXiv:2202.10336v12022
Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation
Gongjie Zhang, Zhipeng Luo, Kaiwen Cui +2
cs.CVcs.AIcs.LGarXiv:2208.00219v12022
InCoder: A Generative Model for Code Infilling and Synthesis
Daniel Fried, Armen Aghajanyan, Jessy Lin +7
cs.SEcs.CLcs.LGarXiv:2204.05999v32022
DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models
Zeyang Sha, Zheng Li, Ning Yu +1
cs.CRcs.CVcs.LGarXiv:2210.06998v22022
DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Dataset
Ahmed Alkhateeb, Gouranga Charan, Tawfik Osman +4
eess.SPcs.CVcs.LGarXiv:2211.09769v22022
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank
Quentin Garrido, Randall Balestriero, Laurent Najman +1
cs.LGcs.AIcs.CVarXiv:2210.02885v32022
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation
Ehsan Khodapanah Aghdam, Reza Azad, Maral Zarvani +1
eess.IVcs.CVcs.LGarXiv:2210.16898v12022
Criteria for Classifying Forecasting Methods
Tim Januschowski, Jan Gasthaus, Yuyang Wang +4
stat.MLcs.LGarXiv:2212.03523v12022
MONAI: An open-source framework for deep learning in healthcare
M. Jorge Cardoso, Wenqi Li, Richard Brown +54
cs.LGcs.AIcs.CVarXiv:2211.02701v12022

Machine Learning

Gender bias and stereotypes in Large Language Models

ExpeL: LLM Agents Are Experiential Learners

InstructPix2Pix: Learning to Follow Image Editing Instructions

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms

Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models

Test-Time Training on Nearest Neighbors for Large Language Models

Artificial Intelligence-Based Methods for Fusion of Electronic Health Records and Imaging Data

Efficiently Scaling Transformer Inference

Fast Distributed Inference Serving for Large Language Models

ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding

Perception Test: A Diagnostic Benchmark for Multimodal Video Models

Point-E: A System for Generating 3D Point Clouds from Complex Prompts

LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection

Few-shot training LLMs for project-specific code-summarization

PaLI-X: On Scaling up a Multilingual Vision and Language Model

Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA

Real-World Robot Learning with Masked Visual Pre-training

Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single Demonstration

VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset

Machine Learning for Microcontroller-Class Hardware: A Review

SenseFi: A Library and Benchmark on Deep-Learning-Empowered WiFi Human Sensing

A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation

Poisoning Language Models During Instruction Tuning

StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models

Dawn of the transformer era in speech emotion recognition: closing the valence gap

Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Online Task Adaptation via Self-Organisation

Loss of Plasticity in Continual Deep Reinforcement Learning

GHOST-Q: Towards Studying Grounding Hallucinations Overlooked Under Same-score TradeOffs in Quantized VLMS

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

ADD 2022: the First Audio Deep Synthesis Detection Challenge

Knowledge Distillation from A Stronger Teacher

How Generative AI models such as ChatGPT can be (Mis)Used in SPC Practice, Education, and Research? An Exploratory Study

Extracting Latent Steering Vectors from Pretrained Language Models

ChronoR: Rotation Based Temporal Knowledge Graph Embedding

When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Large Language Models Are Reasoning Teachers

Simple diffusion: End-to-end diffusion for high resolution images

StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis

A Tutorial on Meta-Reinforcement Learning

SinDDM: A Single Image Denoising Diffusion Model

DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation

Benchmarking Large Language Models for News Summarization

Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals

Real-Time Digital Twins: Vision and Research Directions for 6G and Beyond

CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks

MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation

Textless Speech-to-Speech Translation on Real Data

Artificial Intelligence for the Metaverse: A Survey

Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation

InCoder: A Generative Model for Code Infilling and Synthesis

DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models

DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Dataset

RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank

Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation

Criteria for Classifying Forecasting Methods

MONAI: An open-source framework for deep learning in healthcare