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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14,821 to 14,880 of 20,193

Understanding Deep Networks via Extremal Perturbations and Smooth Masks
Ruth Fong, Mandela Patrick, Andrea Vedaldi
cs.CVcs.LGstat.MLarXiv:1910.08485v12019
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models
Zijie J. Wang, Evan Montoya, David Munechika +3
cs.CVcs.AIcs.HCarXiv:2210.14896v42022
Subsampled Rényi Differential Privacy and Analytical Moments Accountant
Yu-Xiang Wang, Borja Balle, Shiva Kasiviswanathan
cs.LGcs.CRstat.MLarXiv:1808.00087v22018
Empirical Risk Minimization under Fairness Constraints
Michele Donini, Luca Oneto, Shai Ben-David +2
stat.MLcs.LGarXiv:1802.08626v32018
Shap-E: Generating Conditional 3D Implicit Functions
Heewoo Jun, Alex Nichol
cs.CVcs.LGarXiv:2305.02463v12023
On the Importance of Gradients for Detecting Distributional Shifts in the Wild
Rui Huang, Andrew Geng, Yixuan Li
cs.LGarXiv:2110.00218v22021
A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks
Saidul Islam, Hanae Elmekki, Ahmed Elsebai +4
cs.LGcs.CLarXiv:2306.07303v12023
Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation
Hao Wu, Patrick Judd, Xiaojie Zhang +2
cs.LGstat.MLarXiv:2004.09602v12020
XGNN: Towards Model-Level Explanations of Graph Neural Networks
Hao Yuan, Jiliang Tang, Xia Hu +1
cs.LGstat.MLarXiv:2006.02587v12020
LinkBERT: Pretraining Language Models with Document Links
Michihiro Yasunaga, Jure Leskovec, Percy Liang
cs.CLcs.LGarXiv:2203.15827v12022
From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline
Tianle Li, Wei-Lin Chiang, Evan Frick +5
cs.LGcs.AIcs.CLarXiv:2406.11939v22024
Revisiting Few-sample BERT Fine-tuning
Tianyi Zhang, Felix Wu, Arzoo Katiyar +2
cs.CLcs.LGarXiv:2006.05987v32020
Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making
Michael Veale, Max Van Kleek, Reuben Binns
cs.CYcs.HCcs.LGarXiv:1802.01029v12018
Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis
Alessio Benavoli, Giorgio Corani, Janez Demsar +1
stat.MLcs.LGarXiv:1606.04316v32016
Detecting Language Model Attacks with Perplexity
Gabriel Alon, Michael Kamfonas
cs.CLcs.AIcs.CRarXiv:2308.14132v32023
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation
Guangneng Hu, Yu Zhang, Qiang Yang
cs.IRcs.AIcs.LGarXiv:1804.06769v32018
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models
Wenliang Zhao, Lujia Bai, Yongming Rao +2
cs.LGcs.CVarXiv:2302.04867v42023
Deep learning for undersampled MRI reconstruction
Chang Min Hyun, Hwa Pyung Kim, Sung Min Lee +2
stat.MLcs.LGphysics.med-pharXiv:1709.02576v32017
VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks
Yi-Lin Sung, Jaemin Cho, Mohit Bansal
cs.CVcs.AIcs.CLarXiv:2112.06825v22021
Backpropagation Algorithms and Reservoir Computing in Recurrent Neural Networks for the Forecasting of Complex Spatiotemporal Dynamics
Pantelis R. Vlachas, Jaideep Pathak, Brian R. Hunt +4
eess.SPcs.LGphysics.flu-dynarXiv:1910.05266v22019
DeepJSCC-f: Deep Joint Source-Channel Coding of Images with Feedback
David Burth Kurka, Deniz Gündüz
cs.ITcs.LGeess.IVarXiv:1911.11174v22019
EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction
Qi Liu, Zhenya Huang, Yu Yin +4
cs.CYcs.LGarXiv:1906.05658v12019
Graph Neural Networks with convolutional ARMA filters
Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi +1
cs.LGstat.MLarXiv:1901.01343v72019
Good Semi-supervised Learning that Requires a Bad GAN
Zihang Dai, Zhilin Yang, Fan Yang +2
cs.LGcs.AIarXiv:1705.09783v32017
Neural Architecture Search without Training
Joseph Mellor, Jack Turner, Amos Storkey +1
cs.LGcs.CVstat.MLarXiv:2006.04647v32020
Neural Collaborative Filtering vs. Matrix Factorization Revisited
Steffen Rendle, Walid Krichene, Li Zhang +1
cs.IRcs.LGstat.MLarXiv:2005.09683v22020
Selection via Proxy: Efficient Data Selection for Deep Learning
Cody Coleman, Christopher Yeh, Stephen Mussmann +5
cs.LGstat.MLarXiv:1906.11829v42019
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction
Xiang Chen, Ningyu Zhang, Xin Xie +6
cs.CLcs.AIcs.IRarXiv:2104.07650v72021
Towards the Science of Security and Privacy in Machine Learning
Nicolas Papernot, Patrick McDaniel, Arunesh Sinha +1
cs.CRcs.LGarXiv:1611.03814v12016
Trusted Multi-View Classification with Dynamic Evidential Fusion
Zongbo Han, Changqing Zhang, Huazhu Fu +1
cs.LGarXiv:2204.11423v32022
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
Derek Lim, Felix Hohne, Xiuyu Li +4
cs.LGcs.SIstat.MLarXiv:2110.14446v12021
DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning
Alex Olsen, Dmitry A. Konovalov, Bronson Philippa +10
cs.CVcs.LGstat.MLarXiv:1810.05726v32018
DDSP: Differentiable Digital Signal Processing
Jesse Engel, Lamtharn Hantrakul, Chenjie Gu +1
cs.LGcs.SDeess.ASarXiv:2001.04643v12020
Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations
Zeming Wei, Yifei Wang, Ang Li +2
cs.LGcs.AIcs.CLarXiv:2310.06387v32023
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang +1
cs.LGcs.CLstat.MLarXiv:1911.09419v32019
Bayesian Compression for Deep Learning
Christos Louizos, Karen Ullrich, Max Welling
stat.MLcs.LGarXiv:1705.08665v42017
Challenges and Applications of Large Language Models
Jean Kaddour, Joshua Harris, Maximilian Mozes +3
cs.CLcs.AIcs.LGarXiv:2307.10169v12023
CoverNet: Multimodal Behavior Prediction using Trajectory Sets
Tung Phan-Minh, Elena Corina Grigore, Freddy A. Boulton +2
cs.LGcs.ROstat.MLarXiv:1911.10298v22019
Deep Fruit Detection in Orchards
Suchet Bargoti, James Underwood
cs.ROcs.AIcs.CVarXiv:1610.03677v22016
Universal Guidance for Diffusion Models
Arpit Bansal, Hong-Min Chu, Avi Schwarzschild +4
cs.CVcs.LGarXiv:2302.07121v12023
Temporal Generative Adversarial Nets with Singular Value Clipping
Masaki Saito, Eiichi Matsumoto, Shunta Saito
cs.LGcs.CVarXiv:1611.06624v32016
12-in-1: Multi-Task Vision and Language Representation Learning
Jiasen Lu, Vedanuj Goswami, Marcus Rohrbach +2
cs.CVcs.CLcs.LGarXiv:1912.02315v22019
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner +2
cs.LGstat.MLarXiv:1706.08500v62017
Combinatorial optimization and reasoning with graph neural networks
Quentin Cappart, Didier Chételat, Elias Khalil +3
cs.LGcs.DScs.NEarXiv:2102.09544v32021
Measuring Emotional Contagion in Social Media
Emilio Ferrara, Zeyao Yang
cs.SIcs.LGphysics.soc-pharXiv:1506.06021v12015
Time2Vec: Learning a Vector Representation of Time
Seyed Mehran Kazemi, Rishab Goel, Sepehr Eghbali +7
cs.LGarXiv:1907.05321v12019
PDEBENCH: An Extensive Benchmark for Scientific Machine Learning
Makoto Takamoto, Timothy Praditia, Raphael Leiteritz +4
cs.LGcs.CVphysics.flu-dynarXiv:2210.07182v72022
Hello Edge: Keyword Spotting on Microcontrollers
Yundong Zhang, Naveen Suda, Liangzhen Lai +1
cs.SDcs.CLcs.LGarXiv:1711.07128v32017
Multi-Stage Document Ranking with BERT
Rodrigo Nogueira, Wei Yang, Kyunghyun Cho +1
cs.IRcs.LGarXiv:1910.14424v12019
Neural Belief Tracker: Data-Driven Dialogue State Tracking
Nikola Mrkšić, Diarmuid Ó Séaghdha, Tsung-Hsien Wen +2
cs.CLcs.AIcs.LGarXiv:1606.03777v22016
Towards Understanding and Mitigating Social Biases in Language Models
Paul Pu Liang, Chiyu Wu, Louis-Philippe Morency +1
cs.CLcs.AIcs.CYarXiv:2106.13219v12021
Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA
Aapo Hyvarinen, Hiroshi Morioka
stat.MLcs.LGarXiv:1605.06336v12016
The KIT Motion-Language Dataset
Matthias Plappert, Christian Mandery, Tamim Asfour
cs.ROcs.CLcs.CVarXiv:1607.03827v22016
YOLACT++: Better Real-time Instance Segmentation
Daniel Bolya, Chong Zhou, Fanyi Xiao +1
cs.CVcs.LGeess.IVarXiv:1912.06218v22019
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
Linear Transformers Are Secretly Fast Weight Programmers
Imanol Schlag, Kazuki Irie, Jürgen Schmidhuber
cs.LGarXiv:2102.11174v32021
Improving Adversarial Robustness via Promoting Ensemble Diversity
Tianyu Pang, Kun Xu, Chao Du +2
cs.LGstat.MLarXiv:1901.08846v32019
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
Mark Weber, Giacomo Domeniconi, Jie Chen +4
cs.SIcs.CYcs.LGarXiv:1908.02591v12019
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks
Stephen James, Paul Wohlhart, Mrinal Kalakrishnan +6
cs.ROcs.CVcs.LGarXiv:1812.07252v32018
Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study
Zhibin Zhao, Qiyang Zhang, Xiaolei Yu +4
eess.SPcs.LGarXiv:1912.12528v22019

Machine Learning

Understanding Deep Networks via Extremal Perturbations and Smooth Masks

DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models

Subsampled Rényi Differential Privacy and Analytical Moments Accountant

Empirical Risk Minimization under Fairness Constraints

Shap-E: Generating Conditional 3D Implicit Functions

On the Importance of Gradients for Detecting Distributional Shifts in the Wild

A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks

Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation

XGNN: Towards Model-Level Explanations of Graph Neural Networks

LinkBERT: Pretraining Language Models with Document Links

From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline

Revisiting Few-sample BERT Fine-tuning

Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making

Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis

Detecting Language Model Attacks with Perplexity

CoNet: Collaborative Cross Networks for Cross-Domain Recommendation

UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models

Deep learning for undersampled MRI reconstruction

VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks

Backpropagation Algorithms and Reservoir Computing in Recurrent Neural Networks for the Forecasting of Complex Spatiotemporal Dynamics

DeepJSCC-f: Deep Joint Source-Channel Coding of Images with Feedback

EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction

Graph Neural Networks with convolutional ARMA filters

Good Semi-supervised Learning that Requires a Bad GAN

Neural Architecture Search without Training

Neural Collaborative Filtering vs. Matrix Factorization Revisited

Selection via Proxy: Efficient Data Selection for Deep Learning

KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction

Towards the Science of Security and Privacy in Machine Learning

Trusted Multi-View Classification with Dynamic Evidential Fusion

Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods

DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning

DDSP: Differentiable Digital Signal Processing

Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations

Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction

Bayesian Compression for Deep Learning

Challenges and Applications of Large Language Models

CoverNet: Multimodal Behavior Prediction using Trajectory Sets

Deep Fruit Detection in Orchards

Universal Guidance for Diffusion Models

Temporal Generative Adversarial Nets with Singular Value Clipping

12-in-1: Multi-Task Vision and Language Representation Learning

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Combinatorial optimization and reasoning with graph neural networks

Measuring Emotional Contagion in Social Media

Time2Vec: Learning a Vector Representation of Time

PDEBENCH: An Extensive Benchmark for Scientific Machine Learning

Hello Edge: Keyword Spotting on Microcontrollers

Multi-Stage Document Ranking with BERT

Neural Belief Tracker: Data-Driven Dialogue State Tracking

Towards Understanding and Mitigating Social Biases in Language Models

Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA

The KIT Motion-Language Dataset

YOLACT++: Better Real-time Instance Segmentation

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

Linear Transformers Are Secretly Fast Weight Programmers

Improving Adversarial Robustness via Promoting Ensemble Diversity

Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics

Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks

Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study