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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31,201 to 31,260 of 33,057

Less-forgetting Learning in Deep Neural Networks
Heechul Jung, Jeongwoo Ju, Minju Jung +1
cs.LGarXiv:1607.00122v12016
In-Datacenter Performance Analysis of a Tensor Processing Unit
Norman P. Jouppi, Cliff Young, Nishant Patil +72
cs.ARcs.LGcs.NEarXiv:1704.04760v12017
The LAMBADA dataset: Word prediction requiring a broad discourse context
Denis Paperno, Germán Kruszewski, Angeliki Lazaridou +6
cs.CLcs.AIcs.LGarXiv:1606.06031v12016
On the (Statistical) Detection of Adversarial Examples
Kathrin Grosse, Praveen Manoharan, Nicolas Papernot +2
cs.CRcs.LGstat.MLarXiv:1702.06280v22017
In-context Example Selection with Influences
Tai Nguyen, Eric Wong
cs.CLcs.LGarXiv:2302.11042v22023
SafetyNet: Detecting and Rejecting Adversarial Examples Robustly
Jiajun Lu, Theerasit Issaranon, David Forsyth
cs.CVcs.LGarXiv:1704.00103v22017
Neural Machine Translation in Linear Time
Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan +3
cs.CLcs.LGarXiv:1610.10099v22016
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods
Zhuo Zhang, Yuanhang Yang, Yong Dai +2
cs.LGcs.CLarXiv:2212.10025v22022
Thinking Fast and Slow in Large Language Models
Thilo Hagendorff, Sarah Fabi, Michal Kosinski
cs.CLcs.AIcs.LGarXiv:2212.05206v22022
OpenAI Gym
Greg Brockman, Vicki Cheung, Ludwig Pettersson +4
cs.LGcs.AIarXiv:1606.01540v12016
GenRec: Large Language Model for Generative Recommendation
Jianchao Ji, Zelong Li, Shuyuan Xu +4
cs.IRcs.AIcs.CLarXiv:2307.00457v22023
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues
Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe +4
cs.CLcs.AIcs.LGarXiv:1605.06069v32016
Toward Controlled Generation of Text
Zhiting Hu, Zichao Yang, Xiaodan Liang +2
cs.LGcs.AIcs.CLarXiv:1703.00955v42017
Quantum machine learning for image classification
Arsenii Senokosov, Alexandr Sedykh, Asel Sagingalieva +2
quant-phcs.CVcs.LGarXiv:2304.09224v22023
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
Ian J. Goodfellow, Mehdi Mirza, Da Xiao +2
stat.MLcs.LGcs.NEarXiv:1312.6211v32013
Deep Fruit Detection in Orchards
Suchet Bargoti, James Underwood
cs.ROcs.AIcs.CVarXiv:1610.03677v22016
Convolutional neural network architecture for geometric matching
Ignacio Rocco, Relja Arandjelović, Josef Sivic
cs.CVcs.LGarXiv:1703.05593v22017
Learning to Invert: Signal Recovery via Deep Convolutional Networks
Ali Mousavi, Richard G. Baraniuk
stat.MLcs.AIcs.ITarXiv:1701.03891v12017
PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison
Randal S. Olson, William La Cava, Patryk Orzechowski +2
cs.LGcs.AIarXiv:1703.00512v12017
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis
Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen +3
cs.CVcs.AIcs.LGarXiv:2208.13753v22022
Deep attractor network for single-microphone speaker separation
Zhuo Chen, Yi Luo, Nima Mesgarani
cs.SDcs.LGarXiv:1611.08930v22016
Optimal Scheduling of Isolated Microgrids Using Automated Reinforcement Learning-based Multi-period Forecasting
Yang Li, Ruinong Wang, Zhen Yang
eess.SPcs.LGeess.SYarXiv:2108.06764v12021
Specializing Smaller Language Models towards Multi-Step Reasoning
Yao Fu, Hao Peng, Litu Ou +2
cs.CLcs.AIcs.LGarXiv:2301.12726v12023
UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression
Jiaqi Chen, Tong Li, Jinghui Qin +4
cs.AIcs.LGarXiv:2212.02746v12022
Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification
Haowei Zhu, Wenjing Ke, Dong Li +3
cs.CVcs.AIcs.LGarXiv:2205.02151v12022
An Empirical Analysis of Feature Engineering for Predictive Modeling
Jeff Heaton
cs.LGarXiv:1701.07852v22017
Evaluating the Text-to-SQL Capabilities of Large Language Models
Nitarshan Rajkumar, Raymond Li, Dzmitry Bahdanau
cs.CLcs.DBcs.LGarXiv:2204.00498v12022
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation
Ho Hin Lee, Shunxing Bao, Yuankai Huo +1
cs.CVcs.LGarXiv:2209.15076v42022
Building Machines That Learn and Think Like People
Brenden M. Lake, Tomer D. Ullman, Joshua B. Tenenbaum +1
cs.AIcs.CVcs.LGarXiv:1604.00289v32016
DRAMA: Joint Risk Localization and Captioning in Driving
Srikanth Malla, Chiho Choi, Isht Dwivedi +2
cs.CVcs.AIcs.LGarXiv:2209.10767v22022
Breast Mass Classification from Mammograms using Deep Convolutional Neural Networks
Daniel Lévy, Arzav Jain
cs.CVcs.LGarXiv:1612.00542v12016
Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks
Ji Young Lee, Franck Dernoncourt
cs.CLcs.AIcs.LGarXiv:1603.03827v12016
Deep Neural Networks to Enable Real-time Multimessenger Astrophysics
Daniel George, E. A. Huerta
astro-ph.IMastro-ph.GAastro-ph.HEarXiv:1701.00008v32016
Character-based Neural Machine Translation
Marta R. Costa-Jussà, José A. R. Fonollosa
cs.CLcs.LGcs.NEarXiv:1603.00810v32016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu, Chengkai Zhang, Tianfan Xue +2
cs.CVcs.LGarXiv:1610.07584v22016
Sim-to-Real Robot Learning from Pixels with Progressive Nets
Andrei A. Rusu, Mel Vecerik, Thomas Rothörl +3
cs.ROcs.LGarXiv:1610.04286v22016
Neural Architecture Search with Reinforcement Learning
Barret Zoph, Quoc V. Le
cs.LGcs.AIcs.NEarXiv:1611.01578v22016
Learning to Perform Physics Experiments via Deep Reinforcement Learning
Misha Denil, Pulkit Agrawal, Tejas D Kulkarni +3
stat.MLcs.AIcs.CVarXiv:1611.01843v32016
A Comprehensive Study of Deep Bidirectional LSTM RNNs for Acoustic Modeling in Speech Recognition
Albert Zeyer, Patrick Doetsch, Paul Voigtlaender +2
cs.NEcs.CLcs.LGarXiv:1606.06871v22016
Axiomatic Attribution for Deep Networks
Mukund Sundararajan, Ankur Taly, Qiqi Yan
cs.LGarXiv:1703.01365v22017
Revisiting Multiple Instance Neural Networks
Xinggang Wang, Yongluan Yan, Peng Tang +2
stat.MLcs.LGarXiv:1610.02501v12016
Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks
Chunjie Luo, Jianfeng Zhan, Lei Wang +1
cs.LGcs.AIstat.MLarXiv:1702.05870v52017
Voice Conversion from Non-parallel Corpora Using Variational Auto-encoder
Chin-Cheng Hsu, Hsin-Te Hwang, Yi-Chiao Wu +2
stat.MLcs.LGcs.SDarXiv:1610.04019v12016
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Sander Dieleman, Jeffrey De Fauw, Koray Kavukcuoglu
cs.LGcs.CVcs.NEarXiv:1602.02660v22016
Semi-Supervised Learning with Generative Adversarial Networks
Augustus Odena
stat.MLcs.LGarXiv:1606.01583v22016
Measurably Stronger Explanation Reliability via Model Canonization
Franz Motzkus, Leander Weber, Sebastian Lapuschkin
cs.LGcs.AIarXiv:2202.06621v12022
Autoencoding beyond pixels using a learned similarity metric
Anders Boesen Lindbo Larsen, Søren Kaae Sønderby, Hugo Larochelle +1
cs.LGcs.CVstat.MLarXiv:1512.09300v22015
CNN Architectures for Large-Scale Audio Classification
Shawn Hershey, Sourish Chaudhuri, Daniel P. W. Ellis +10
cs.SDcs.LGstat.MLarXiv:1609.09430v22016
Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation
Antyanta Bangunharcana, Jae Won Cho, Seokju Lee +3
cs.CVcs.AIcs.LGarXiv:2108.05773v12021
Convolutional Recurrent Neural Networks for Music Classification
Keunwoo Choi, George Fazekas, Mark Sandler +1
cs.NEcs.LGcs.MMarXiv:1609.04243v32016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun, Kate Saenko
cs.CVcs.AIcs.LGarXiv:1607.01719v12016
Scaled-YOLOv4: Scaling Cross Stage Partial Network
Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao
cs.CVcs.LGarXiv:2011.08036v22020
Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning
Shreyas Fadnavis, Joshua Batson, Eleftherios Garyfallidis
cs.LGcs.CVq-bio.QMarXiv:2011.01355v12020
Wide Residual Networks
Sergey Zagoruyko, Nikos Komodakis
cs.CVcs.LGcs.NEarXiv:1605.07146v42016
Order-Embeddings of Images and Language
Ivan Vendrov, Ryan Kiros, Sanja Fidler +1
cs.LGcs.CLcs.CVarXiv:1511.06361v62015
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications
Tim Salimans, Andrej Karpathy, Xi Chen +1
cs.LGstat.MLarXiv:1701.05517v12017
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning
Michał Kempka, Marek Wydmuch, Grzegorz Runc +2
cs.LGcs.AIcs.CVarXiv:1605.02097v22016
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications
Yong-Deok Kim, Eunhyeok Park, Sungjoo Yoo +3
cs.CVcs.LGarXiv:1511.06530v22015
All you need is a good init
Dmytro Mishkin, Jiri Matas
cs.LGarXiv:1511.06422v72015
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
Junbo Zhang, Yu Zheng, Dekang Qi
cs.AIcs.LGarXiv:1610.00081v22016

Machine Learning

Less-forgetting Learning in Deep Neural Networks

In-Datacenter Performance Analysis of a Tensor Processing Unit

The LAMBADA dataset: Word prediction requiring a broad discourse context

On the (Statistical) Detection of Adversarial Examples

In-context Example Selection with Influences

SafetyNet: Detecting and Rejecting Adversarial Examples Robustly

Neural Machine Translation in Linear Time

When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods

Thinking Fast and Slow in Large Language Models

OpenAI Gym

GenRec: Large Language Model for Generative Recommendation

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

Toward Controlled Generation of Text

Quantum machine learning for image classification

An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Deep Fruit Detection in Orchards

Convolutional neural network architecture for geometric matching

Learning to Invert: Signal Recovery via Deep Convolutional Networks

PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison

Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis

Deep attractor network for single-microphone speaker separation

Optimal Scheduling of Isolated Microgrids Using Automated Reinforcement Learning-based Multi-period Forecasting

Specializing Smaller Language Models towards Multi-Step Reasoning

UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression

Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification

An Empirical Analysis of Feature Engineering for Predictive Modeling

Evaluating the Text-to-SQL Capabilities of Large Language Models

3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation

Building Machines That Learn and Think Like People

DRAMA: Joint Risk Localization and Captioning in Driving

Breast Mass Classification from Mammograms using Deep Convolutional Neural Networks

Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks

Deep Neural Networks to Enable Real-time Multimessenger Astrophysics

Character-based Neural Machine Translation

Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

Sim-to-Real Robot Learning from Pixels with Progressive Nets

Neural Architecture Search with Reinforcement Learning

Learning to Perform Physics Experiments via Deep Reinforcement Learning

A Comprehensive Study of Deep Bidirectional LSTM RNNs for Acoustic Modeling in Speech Recognition

Axiomatic Attribution for Deep Networks

Revisiting Multiple Instance Neural Networks

Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks

Voice Conversion from Non-parallel Corpora Using Variational Auto-encoder

Exploiting Cyclic Symmetry in Convolutional Neural Networks

Semi-Supervised Learning with Generative Adversarial Networks

Measurably Stronger Explanation Reliability via Model Canonization

Autoencoding beyond pixels using a learned similarity metric

CNN Architectures for Large-Scale Audio Classification

Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation

Convolutional Recurrent Neural Networks for Music Classification

Deep CORAL: Correlation Alignment for Deep Domain Adaptation

Scaled-YOLOv4: Scaling Cross Stage Partial Network

Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning

Wide Residual Networks

Order-Embeddings of Images and Language

PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning

Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications

All you need is a good init

Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction