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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12,301 to 12,360 of 20,193

Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation
Greg Yang
cs.NEcond-mat.dis-nncs.LGarXiv:1902.04760v32019
Inference Suboptimality in Variational Autoencoders
Chris Cremer, Xuechen Li, David Duvenaud
cs.LGstat.MLarXiv:1801.03558v32018
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Vitchyr H. Pong, Murtaza Dalal, Steven Lin +3
cs.LGcs.AIcs.ROarXiv:1903.03698v42019
A vector-contraction inequality for Rademacher complexities
Andreas Maurer
cs.LGstat.MLarXiv:1605.00251v12016
Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints
Mehrdad Mahdavi, Rong Jin, Tianbao Yang
cs.LGarXiv:1111.6082v32011
Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis
Jimei Yang, Scott Reed, Ming-Hsuan Yang +1
cs.LGcs.AIcs.CVarXiv:1601.00706v12016
Depthwise Separable Convolutions for Neural Machine Translation
Lukasz Kaiser, Aidan N. Gomez, Francois Chollet
cs.CLcs.LGarXiv:1706.03059v22017
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective
Jindong Wang, Xixu Hu, Wenxin Hou +10
cs.AIcs.CLcs.LGarXiv:2302.12095v52023
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning
Pan Lu, Liang Qiu, Jiaqi Chen +6
cs.CVcs.AIcs.CLarXiv:2110.13214v42021
Efficient Defenses Against Adversarial Attacks
Valentina Zantedeschi, Maria-Irina Nicolae, Ambrish Rawat
cs.LGarXiv:1707.06728v22017
Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement Learning
Minghai Chen, Sen Wang, Paul Pu Liang +3
cs.LGcs.AIcs.CLarXiv:1802.00924v12018
Deep Rewiring: Training very sparse deep networks
Guillaume Bellec, David Kappel, Wolfgang Maass +1
cs.NEcs.AIcs.DCarXiv:1711.05136v52017
The Mechanics of n-Player Differentiable Games
David Balduzzi, Sebastien Racaniere, James Martens +3
cs.LGcs.GTcs.MAarXiv:1802.05642v22018
A Survey of Graph Neural Networks for Social Recommender Systems
Kartik Sharma, Yeon-Chang Lee, Sivagami Nambi +4
cs.SIcs.IRcs.LGarXiv:2212.04481v32022
Representer Point Selection for Explaining Deep Neural Networks
Chih-Kuan Yeh, Joon Sik Kim, Ian E. H. Yen +1
cs.LGstat.MLarXiv:1811.09720v12018
SteganoGAN: High Capacity Image Steganography with GANs
Kevin Alex Zhang, Alfredo Cuesta-Infante, Lei Xu +1
cs.CVcs.LGcs.MMarXiv:1901.03892v22019
Deep Multimodal Fusion by Channel Exchanging
Yikai Wang, Wenbing Huang, Fuchun Sun +3
cs.CVcs.LGarXiv:2011.05005v22020
How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?
Ferenc Huszár
stat.MLcs.AIcs.ITarXiv:1511.05101v12015
oLMpics -- On what Language Model Pre-training Captures
Alon Talmor, Yanai Elazar, Yoav Goldberg +1
cs.CLcs.AIcs.LGarXiv:1912.13283v22019
Grounded Language Learning in a Simulated 3D World
Karl Moritz Hermann, Felix Hill, Simon Green +11
cs.CLcs.LGstat.MLarXiv:1706.06551v22017
Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing
Youngduck Choi, Youngnam Lee, Junghyun Cho +6
cs.LGcs.AIcs.CYarXiv:2002.07033v52020
Focal Sparse Convolutional Networks for 3D Object Detection
Yukang Chen, Yanwei Li, Xiangyu Zhang +2
cs.CVcs.LGarXiv:2204.12463v12022
Evaluating and Aggregating Feature-based Model Explanations
Umang Bhatt, Adrian Weller, José M. F. Moura
cs.LGcs.AIcs.CYarXiv:2005.00631v12020
Input complexity and out-of-distribution detection with likelihood-based generative models
Joan Serrà, David Álvarez, Vicenç Gómez +3
cs.LGstat.MLarXiv:1909.11480v32019
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation
Will Grathwohl, Dami Choi, Yuhuai Wu +2
cs.LGarXiv:1711.00123v32017
Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems
Elizabeth Qian, Boris Kramer, Benjamin Peherstorfer +1
math.NAcs.LGarXiv:1912.08177v52019
BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits
Ruben Martinez-Cantin
cs.LGarXiv:1405.7430v12014
LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models
Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin +2
cs.CLcs.LGarXiv:2310.05736v22023
Salvaging Federated Learning by Local Adaptation
Tao Yu, Eugene Bagdasaryan, Vitaly Shmatikov
cs.LGcs.AIcs.DCarXiv:2002.04758v32020
MetaFormer Baselines for Vision
Weihao Yu, Chenyang Si, Pan Zhou +5
cs.CVcs.AIcs.LGarXiv:2210.13452v42022
CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization
Sungwook Lee, Seunghyun Lee, Byung Cheol Song
cs.CVcs.LGarXiv:2206.04325v12022
BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements
Xiaoyi Chen, Ahmed Salem, Dingfan Chen +5
cs.CRcs.LGarXiv:2006.01043v22020
Optimal Clustering Framework for Hyperspectral Band Selection
Qi Wang, Fahong Zhang, Xuelong Li
eess.IVcs.LGstat.MLarXiv:1904.13036v12019
Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation
Anthony Simeonov, Yilun Du, Andrea Tagliasacchi +4
cs.ROcs.AIcs.CVarXiv:2112.05124v12021
Sparse Sequence-to-Sequence Models
Ben Peters, Vlad Niculae, André F. T. Martins
cs.CLcs.LGarXiv:1905.05702v22019
Detecting Cyberattacks in Industrial Control Systems Using Convolutional Neural Networks
Moshe Kravchik, Asaf Shabtai
cs.CRcs.LGarXiv:1806.08110v22018
SafetyNet: Detecting and Rejecting Adversarial Examples Robustly
Jiajun Lu, Theerasit Issaranon, David Forsyth
cs.CVcs.LGarXiv:1704.00103v22017
Automated Fact-Checking for Assisting Human Fact-Checkers
Preslav Nakov, David Corney, Maram Hasanain +6
cs.AIcs.CLcs.CRarXiv:2103.07769v22021
Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention
Jinkyu Kim, John Canny
cs.CVcs.LGarXiv:1703.10631v12017
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training
Murat Kocaoglu, Christopher Snyder, Alexandros G. Dimakis +1
cs.LGcs.AIcs.ITarXiv:1709.02023v22017
Chip-Chat: Challenges and Opportunities in Conversational Hardware Design
Jason Blocklove, Siddharth Garg, Ramesh Karri +1
cs.LGcs.ARcs.PLarXiv:2305.13243v22023
Object Contour Detection with a Fully Convolutional Encoder-Decoder Network
Jimei Yang, Brian Price, Scott Cohen +2
cs.CVcs.LGarXiv:1603.04530v12016
EDICT: Exact Diffusion Inversion via Coupled Transformations
Bram Wallace, Akash Gokul, Nikhil Naik
cs.CVcs.AIcs.LGarXiv:2211.12446v22022
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring
Sungjin Ahn, Anoop Korattikara, Max Welling
cs.LGstat.COstat.MLarXiv:1206.6380v12012
Stochastic Controlled Averaging for Federated Learning with Communication Compression
Xinmeng Huang, Ping Li, Xiaoyun Li
math.OCcs.DCcs.LGarXiv:2308.08165v22023
Unsupervised and Semi-supervised Anomaly Detection with LSTM Neural Networks
Tolga Ergen, Ali Hassan Mirza, Suleyman Serdar Kozat
eess.SPcs.LGstat.MLarXiv:1710.09207v12017
Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks
Arash Vahdat
cs.LGstat.MLarXiv:1706.00038v22017
Deep Learning-enabled Virtual Histological Staining of Biological Samples
Bijie Bai, Xilin Yang, Yuzhu Li +3
physics.med-phcs.CVcs.LGarXiv:2211.06822v12022
Deep Learning for Time Series Forecasting: The Electric Load Case
Alberto Gasparin, Slobodan Lukovic, Cesare Alippi
cs.LGstat.MLarXiv:1907.09207v12019
Modern WLAN Fingerprinting Indoor Positioning Methods and Deployment Challenges
Ali Khalajmehrabadi, Nikolaos Gatsis, David Akopian
cs.NIcs.LGarXiv:1610.05424v12016
Maximizing acquisition functions for Bayesian optimization
James T. Wilson, Frank Hutter, Marc Peter Deisenroth
stat.MLcs.LGarXiv:1805.10196v22018
Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs
Alon Brutzkus, Amir Globerson
cs.LGmath.OCstat.MLarXiv:1702.07966v12017
A physics-informed variational DeepONet for predicting the crack path in brittle materials
Somdatta Goswami, Minglang Yin, Yue Yu +1
cs.LGmath.NAarXiv:2108.06905v22021
On the Inductive Bias of Neural Tangent Kernels
Alberto Bietti, Julien Mairal
stat.MLcs.LGarXiv:1905.12173v22019
GMNN: Graph Markov Neural Networks
Meng Qu, Yoshua Bengio, Jian Tang
cs.LGcs.SIstat.MLarXiv:1905.06214v32019
DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation
Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev +1
cs.CLcs.LGarXiv:2210.07558v22022
A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation
Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong +1
cs.LGstat.MLarXiv:1810.13243v12018
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models
Jiabo Ye, Haiyang Xu, Haowei Liu +6
cs.CVcs.AIcs.CLarXiv:2408.04840v22024
Open-TeleVision: Teleoperation with Immersive Active Visual Feedback
Xuxin Cheng, Jialong Li, Shiqi Yang +2
cs.ROcs.HCcs.LGarXiv:2407.01512v22024
Deep Learning with Topological Signatures
Christoph Hofer, Roland Kwitt, Marc Niethammer +1
cs.CVcs.LGmath.ATarXiv:1707.04041v32017

Machine Learning

Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation

Inference Suboptimality in Variational Autoencoders

Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

A vector-contraction inequality for Rademacher complexities

Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints

Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis

Depthwise Separable Convolutions for Neural Machine Translation

On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective

IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning

Efficient Defenses Against Adversarial Attacks

Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement Learning

Deep Rewiring: Training very sparse deep networks

The Mechanics of n-Player Differentiable Games

A Survey of Graph Neural Networks for Social Recommender Systems

Representer Point Selection for Explaining Deep Neural Networks

SteganoGAN: High Capacity Image Steganography with GANs

Deep Multimodal Fusion by Channel Exchanging

How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?

oLMpics -- On what Language Model Pre-training Captures

Grounded Language Learning in a Simulated 3D World

Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing

Focal Sparse Convolutional Networks for 3D Object Detection

Evaluating and Aggregating Feature-based Model Explanations

Input complexity and out-of-distribution detection with likelihood-based generative models

Backpropagation through the Void: Optimizing control variates for black-box gradient estimation

Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems

BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits

LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Salvaging Federated Learning by Local Adaptation

MetaFormer Baselines for Vision

CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization

BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements

Optimal Clustering Framework for Hyperspectral Band Selection

Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation

Sparse Sequence-to-Sequence Models

Detecting Cyberattacks in Industrial Control Systems Using Convolutional Neural Networks

SafetyNet: Detecting and Rejecting Adversarial Examples Robustly

Automated Fact-Checking for Assisting Human Fact-Checkers

Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention

CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training

Chip-Chat: Challenges and Opportunities in Conversational Hardware Design

Object Contour Detection with a Fully Convolutional Encoder-Decoder Network

EDICT: Exact Diffusion Inversion via Coupled Transformations

Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring

Stochastic Controlled Averaging for Federated Learning with Communication Compression

Unsupervised and Semi-supervised Anomaly Detection with LSTM Neural Networks

Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks

Deep Learning-enabled Virtual Histological Staining of Biological Samples

Deep Learning for Time Series Forecasting: The Electric Load Case

Modern WLAN Fingerprinting Indoor Positioning Methods and Deployment Challenges

Maximizing acquisition functions for Bayesian optimization

Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs

A physics-informed variational DeepONet for predicting the crack path in brittle materials

On the Inductive Bias of Neural Tangent Kernels

GMNN: Graph Markov Neural Networks

DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation

mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models

Open-TeleVision: Teleoperation with Immersive Active Visual Feedback

Deep Learning with Topological Signatures