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.

Search paper metadata (including unsummarized papers)

13,261 to 13,320 of 20,199

Pyramidal Flow Matching for Efficient Video Generative Modeling
Yang Jin, Zhicheng Sun, Ningyuan Li +8
cs.CVcs.LGarXiv:2410.05954v22024
Loss landscapes and optimization in over-parameterized non-linear systems and neural networks
Chaoyue Liu, Libin Zhu, Mikhail Belkin
cs.LGmath.OCstat.MLarXiv:2003.00307v22020
Natural Language Inference by Tree-Based Convolution and Heuristic Matching
Lili Mou, Rui Men, Ge Li +4
cs.CLcs.LGarXiv:1512.08422v32015
Semantic Photo Manipulation with a Generative Image Prior
David Bau, Hendrik Strobelt, William Peebles +4
cs.CVcs.GRcs.LGarXiv:2005.07727v22020
Physics-Informed Neural Networks for Multiphysics Data Assimilation with Application to Subsurface Transport
QiZhi He, David Brajas-Solano, Guzel Tartakovsky +1
cs.LGphysics.comp-phstat.MLarXiv:1912.02968v12019
The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models
Alexander Pan, Kush Bhatia, Jacob Steinhardt
cs.LGcs.AIstat.MLarXiv:2201.03544v22022
Preparing for the Unknown: Learning a Universal Policy with Online System Identification
Wenhao Yu, Jie Tan, C. Karen Liu +1
cs.LGcs.ROeess.SYarXiv:1702.02453v32017
Efficient and Modular Implicit Differentiation
Mathieu Blondel, Quentin Berthet, Marco Cuturi +5
cs.LGmath.NAstat.MLarXiv:2105.15183v52021
A Survey on Generative Adversarial Networks: Variants, Applications, and Training
Abdul Jabbar, Xi Li, Bourahla Omar
cs.CVcs.LGeess.IVarXiv:2006.05132v12020
Ablating Concepts in Text-to-Image Diffusion Models
Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang +3
cs.CVcs.GRcs.LGarXiv:2303.13516v32023
Android in the Wild: A Large-Scale Dataset for Android Device Control
Christopher Rawles, Alice Li, Daniel Rodriguez +2
cs.LGcs.CLcs.HCarXiv:2307.10088v22023
A comparison of deep networks with ReLU activation function and linear spline-type methods
Konstantin Eckle, Johannes Schmidt-Hieber
stat.MLcs.LGstat.MEarXiv:1804.02253v22018
SQA3D: Situated Question Answering in 3D Scenes
Xiaojian Ma, Silong Yong, Zilong Zheng +4
cs.CVcs.AIcs.CLarXiv:2210.07474v52022
Poisoning Language Models During Instruction Tuning
Alexander Wan, Eric Wallace, Sheng Shen +1
cs.CLcs.CRcs.LGarXiv:2305.00944v12023
Language Models Represent Space and Time
Wes Gurnee, Max Tegmark
cs.LGcs.AIcs.CLarXiv:2310.02207v32023
Recurrent Independent Mechanisms
Anirudh Goyal, Alex Lamb, Jordan Hoffmann +4
cs.LGcs.AIstat.MLarXiv:1909.10893v62019
Sequence-to-Sequence Models Can Directly Translate Foreign Speech
Ron J. Weiss, Jan Chorowski, Navdeep Jaitly +2
cs.CLcs.LGstat.MLarXiv:1703.08581v22017
TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing
Augustus Odena, Ian Goodfellow
stat.MLcs.LGarXiv:1807.10875v12018
Transformer Quality in Linear Time
Weizhe Hua, Zihang Dai, Hanxiao Liu +1
cs.LGcs.AIcs.CLarXiv:2202.10447v22022
TensorFlow-Serving: Flexible, High-Performance ML Serving
Christopher Olston, Noah Fiedel, Kiril Gorovoy +6
cs.DCcs.LGarXiv:1712.06139v22017
"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors
Yossi Gandelsman, Assaf Shocher, Michal Irani
cs.CVcs.LGarXiv:1812.00467v22018
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
Xiangxiang Chu, Bo Zhang, Ruijun Xu
cs.LGcs.AIcs.CVarXiv:1907.01845v52019
Trained Transformers Learn Linear Models In-Context
Ruiqi Zhang, Spencer Frei, Peter L. Bartlett
stat.MLcs.AIcs.CLarXiv:2306.09927v32023
History Repeats Itself: Human Motion Prediction via Motion Attention
Wei Mao, Miaomiao Liu, Mathieu Salzmann
cs.CVcs.LGeess.IVarXiv:2007.11755v12020
Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani +3
eess.IVcs.LGarXiv:2006.12229v12020
Additive Gaussian Processes
David Duvenaud, Hannes Nickisch, Carl Edward Rasmussen
stat.MLcs.LGarXiv:1112.4394v12011
How to train your neural ODE: the world of Jacobian and kinetic regularization
Chris Finlay, Jörn-Henrik Jacobsen, Levon Nurbekyan +1
stat.MLcs.LGarXiv:2002.02798v32020
DPatch: An Adversarial Patch Attack on Object Detectors
Xin Liu, Huanrui Yang, Ziwei Liu +3
cs.CVcs.CRcs.LGarXiv:1806.02299v42018
SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud
Stefanos Laskaridis, Stylianos I. Venieris, Mario Almeida +2
cs.LGcs.CVcs.DCarXiv:2008.06402v22020
Multi-level Feature Learning for Contrastive Multi-view Clustering
Jie Xu, Huayi Tang, Yazhou Ren +3
cs.LGcs.CVarXiv:2106.11193v22021
Minimal Gated Unit for Recurrent Neural Networks
Guo-Bing Zhou, Jianxin Wu, Chen-Lin Zhang +1
cs.NEcs.LGarXiv:1603.09420v12016
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism
Jinglin Liu, Chengxi Li, Yi Ren +2
eess.AScs.LGcs.SDarXiv:2105.02446v62021
Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams
Aaron Tuor, Samuel Kaplan, Brian Hutchinson +2
cs.NEcs.CRcs.LGarXiv:1710.00811v22017
Combating Adversarial Misspellings with Robust Word Recognition
Danish Pruthi, Bhuwan Dhingra, Zachary C. Lipton
cs.CLcs.CRcs.LGarXiv:1905.11268v22019
Multi-Time Attention Networks for Irregularly Sampled Time Series
Satya Narayan Shukla, Benjamin M. Marlin
cs.LGcs.AIarXiv:2101.10318v22021
EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees
Yuhui Li, Fangyun Wei, Chao Zhang +1
cs.CLcs.LGarXiv:2406.16858v22024
Streaming Variational Bayes
Tamara Broderick, Nicholas Boyd, Andre Wibisono +2
stat.MLcs.LGarXiv:1307.6769v22013
Real-Time Intermediate Flow Estimation for Video Frame Interpolation
Zhewei Huang, Tianyuan Zhang, Wen Heng +2
cs.CVcs.LGarXiv:2011.06294v122020
LCSTS: A Large Scale Chinese Short Text Summarization Dataset
Baotian Hu, Qingcai Chen, Fangze Zhu
cs.CLcs.IRcs.LGarXiv:1506.05865v42015
Regularization for Deep Learning: A Taxonomy
Jan Kukačka, Vladimir Golkov, Daniel Cremers
cs.LGcs.AIcs.CVarXiv:1710.10686v12017
Emergent Linear Representations in World Models of Self-Supervised Sequence Models
Neel Nanda, Andrew Lee, Martin Wattenberg
cs.LGarXiv:2309.00941v22023
Inverting The Generator Of A Generative Adversarial Network
Antonia Creswell, Anil Anthony Bharath
cs.CVcs.LGarXiv:1611.05644v12016
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks
Agustinus Kristiadi, Matthias Hein, Philipp Hennig
stat.MLcs.LGarXiv:2002.10118v22020
Deceiving Google's Perspective API Built for Detecting Toxic Comments
Hossein Hosseini, Sreeram Kannan, Baosen Zhang +1
cs.LGcs.CYcs.SIarXiv:1702.08138v12017
InceptionNeXt: When Inception Meets ConvNeXt
Weihao Yu, Pan Zhou, Shuicheng Yan +1
cs.CVcs.AIcs.LGarXiv:2303.16900v32023
Low-Resource Languages Jailbreak GPT-4
Zheng-Xin Yong, Cristina Menghini, Stephen H. Bach
cs.CLcs.AIcs.CRarXiv:2310.02446v22023
Extreme Parkour with Legged Robots
Xuxin Cheng, Kexin Shi, Ananye Agarwal +1
cs.ROcs.AIcs.CVarXiv:2309.14341v12023
Multimodal Virtual Point 3D Detection
Tianwei Yin, Xingyi Zhou, Philipp Krähenbühl
cs.CVcs.LGcs.ROarXiv:2111.06881v12021
Generalization and Representational Limits of Graph Neural Networks
Vikas K. Garg, Stefanie Jegelka, Tommi Jaakkola
cs.LGstat.MLarXiv:2002.06157v12020
Learning to Optimize: A Primer and A Benchmark
Tianlong Chen, Xiaohan Chen, Wuyang Chen +4
math.OCcs.LGstat.MLarXiv:2103.12828v22021
Optimal Transport for structured data with application on graphs
Titouan Vayer, Laetitia Chapel, Rémi Flamary +2
stat.MLcs.LGarXiv:1805.09114v32018
Summaries:한국어
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations
Xiang Yue, Zhen Wang, Jingong Huang +7
cs.LGcs.SIarXiv:1906.05017v32019
Unsupervised learning of phase transitions: from principal component analysis to variational autoencoders
Sebastian Johann Wetzel
cond-mat.stat-mechcs.LGstat.MLarXiv:1703.02435v22017
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets
Dongxian Wu, Yisen Wang, Shu-Tao Xia +2
cs.LGcs.CRcs.CVarXiv:2002.05990v12020
Deep Convolutional Neural Networks for Raman Spectrum Recognition: A Unified Solution
Jinchao Liu, Margarita Osadchy, Lorna Ashton +3
cs.LGstat.MLarXiv:1708.09022v12017
Summaries:한국어
CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review
Dan Hendrycks, Collin Burns, Anya Chen +1
cs.CLcs.LGarXiv:2103.06268v22021
Utterance-level Aggregation For Speaker Recognition In The Wild
Weidi Xie, Arsha Nagrani, Joon Son Chung +1
eess.AScs.LGcs.MMarXiv:1902.10107v22019
3D Diffuser Actor: Policy Diffusion with 3D Scene Representations
Tsung-Wei Ke, Nikolaos Gkanatsios, Katerina Fragkiadaki
cs.ROcs.AIcs.CVarXiv:2402.10885v32024
Learning how to explain neural networks: PatternNet and PatternAttribution
Pieter-Jan Kindermans, Kristof T. Schütt, Maximilian Alber +4
stat.MLcs.LGarXiv:1705.05598v22017
Federated Learning with Cooperating Devices: A Consensus Approach for Massive IoT Networks
Stefano Savazzi, Monica Nicoli, Vittorio Rampa
eess.SPcs.DCcs.LGarXiv:1912.13163v12019

Machine Learning

Pyramidal Flow Matching for Efficient Video Generative Modeling

Loss landscapes and optimization in over-parameterized non-linear systems and neural networks

Natural Language Inference by Tree-Based Convolution and Heuristic Matching

Semantic Photo Manipulation with a Generative Image Prior

Physics-Informed Neural Networks for Multiphysics Data Assimilation with Application to Subsurface Transport

The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models

Preparing for the Unknown: Learning a Universal Policy with Online System Identification

Efficient and Modular Implicit Differentiation

A Survey on Generative Adversarial Networks: Variants, Applications, and Training

Ablating Concepts in Text-to-Image Diffusion Models

Android in the Wild: A Large-Scale Dataset for Android Device Control

A comparison of deep networks with ReLU activation function and linear spline-type methods

SQA3D: Situated Question Answering in 3D Scenes

Poisoning Language Models During Instruction Tuning

Language Models Represent Space and Time

Recurrent Independent Mechanisms

Sequence-to-Sequence Models Can Directly Translate Foreign Speech

TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing

Transformer Quality in Linear Time

TensorFlow-Serving: Flexible, High-Performance ML Serving

"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors

FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search

Trained Transformers Learn Linear Models In-Context

History Repeats Itself: Human Motion Prediction via Motion Attention

Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms

Additive Gaussian Processes

How to train your neural ODE: the world of Jacobian and kinetic regularization

DPatch: An Adversarial Patch Attack on Object Detectors

SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud

Multi-level Feature Learning for Contrastive Multi-view Clustering

Minimal Gated Unit for Recurrent Neural Networks

DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism

Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams

Combating Adversarial Misspellings with Robust Word Recognition

Multi-Time Attention Networks for Irregularly Sampled Time Series

EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees

Streaming Variational Bayes

Real-Time Intermediate Flow Estimation for Video Frame Interpolation

LCSTS: A Large Scale Chinese Short Text Summarization Dataset

Regularization for Deep Learning: A Taxonomy

Emergent Linear Representations in World Models of Self-Supervised Sequence Models

Inverting The Generator Of A Generative Adversarial Network

Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks

Deceiving Google's Perspective API Built for Detecting Toxic Comments

InceptionNeXt: When Inception Meets ConvNeXt

Low-Resource Languages Jailbreak GPT-4

Extreme Parkour with Legged Robots

Multimodal Virtual Point 3D Detection

Generalization and Representational Limits of Graph Neural Networks

Learning to Optimize: A Primer and A Benchmark

Optimal Transport for structured data with application on graphs

Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations

Unsupervised learning of phase transitions: from principal component analysis to variational autoencoders

Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets

Deep Convolutional Neural Networks for Raman Spectrum Recognition: A Unified Solution

CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review

Utterance-level Aggregation For Speaker Recognition In The Wild

3D Diffuser Actor: Policy Diffusion with 3D Scene Representations

Learning how to explain neural networks: PatternNet and PatternAttribution

Federated Learning with Cooperating Devices: A Consensus Approach for Massive IoT Networks