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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13,201 to 13,260 of 20,217

Explainability Fact Sheets: A Framework for Systematic Assessment of Explainable Approaches
Kacper Sokol, Peter Flach
cs.LGcs.AIstat.MLarXiv:1912.05100v12019
Building Generalizable Agents with a Realistic and Rich 3D Environment
Yi Wu, Yuxin Wu, Georgia Gkioxari +1
cs.LGcs.AIarXiv:1801.02209v22018
General Multi-label Image Classification with Transformers
Jack Lanchantin, Tianlu Wang, Vicente Ordonez +1
cs.CVcs.AIcs.LGarXiv:2011.14027v12020
Communication-Efficient Distributed Dual Coordinate Ascent
Martin Jaggi, Virginia Smith, Martin Takáč +4
cs.LGmath.OCstat.MLarXiv:1409.1458v22014
Attentive Pooling Networks
Cicero dos Santos, Ming Tan, Bing Xiang +1
cs.CLcs.LGarXiv:1602.03609v12016
An Overview of Deep Semi-Supervised Learning
Yassine Ouali, Céline Hudelot, Myriam Tami
cs.LGstat.MLarXiv:2006.05278v22020
Are Labels Required for Improving Adversarial Robustness?
Jonathan Uesato, Jean-Baptiste Alayrac, Po-Sen Huang +3
cs.LGcs.CVstat.MLarXiv:1905.13725v42019
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
Mingguo He, Zhewei Wei, Zengfeng Huang +1
cs.LGcs.AIarXiv:2106.10994v32021
Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems
Qitian Wu, Hengrui Zhang, Xiaofeng Gao +4
cs.IRcs.LGcs.SIarXiv:1903.10433v12019
Interpretable Scientific Discovery with Symbolic Regression: A Review
Nour Makke, Sanjay Chawla
cs.LGcs.AIhep-pharXiv:2211.10873v22022
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial
Amal Feriani, Ekram Hossain
cs.LGcs.NIarXiv:2011.03615v12020
Domain Generalization Using a Mixture of Multiple Latent Domains
Toshihiko Matsuura, Tatsuya Harada
cs.CVcs.LGarXiv:1911.07661v12019
Towards Causal Representation Learning
Bernhard Schölkopf, Francesco Locatello, Stefan Bauer +4
cs.LGcs.AIarXiv:2102.11107v12021
On the importance of single directions for generalization
Ari S. Morcos, David G. T. Barrett, Neil C. Rabinowitz +1
stat.MLcs.AIcs.LGarXiv:1803.06959v42018
MetNet: A Neural Weather Model for Precipitation Forecasting
Casper Kaae Sønderby, Lasse Espeholt, Jonathan Heek +6
cs.LGphysics.ao-phstat.MLarXiv:2003.12140v22020
Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic
Shixiang Gu, Timothy Lillicrap, Zoubin Ghahramani +2
cs.LGarXiv:1611.02247v32016
Multi-task Deep Reinforcement Learning with PopArt
Matteo Hessel, Hubert Soyer, Lasse Espeholt +3
cs.LGstat.MLarXiv:1809.04474v12018
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks
Ariel Gordon, Elad Eban, Ofir Nachum +4
cs.LGstat.MLarXiv:1711.06798v32017
3D Point Capsule Networks
Yongheng Zhao, Tolga Birdal, Haowen Deng +1
cs.CVcs.LGcs.NEarXiv:1812.10775v22018
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search
Xiangxiang Chu, Tianbao Zhou, Bo Zhang +1
cs.LGcs.AIcs.CVarXiv:1911.12126v42019
Learning to Detect Objects with a 1 Megapixel Event Camera
Etienne Perot, Pierre de Tournemire, Davide Nitti +2
cs.CVcs.LGarXiv:2009.13436v22020
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings
Octavian-Eugen Ganea, Gary Bécigneul, Thomas Hofmann
cs.LGstat.MLarXiv:1804.01882v32018
Zero-Cost Proxies for Lightweight NAS
Mohamed S. Abdelfattah, Abhinav Mehrotra, Łukasz Dudziak +1
cs.LGcs.AIcs.NEarXiv:2101.08134v22021
Few-shot training LLMs for project-specific code-summarization
Toufique Ahmed, Premkumar Devanbu
cs.SEcs.LGarXiv:2207.04237v22022
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
Kartik Ahuja, Ethan Caballero, Dinghuai Zhang +4
cs.LGstat.MLarXiv:2106.06607v22021
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards +276
cs.LGeess.IVarXiv:2204.10836v22022
Entanglement Induced Barren Plateaus
Carlos Ortiz Marrero, Mária Kieferová, Nathan Wiebe
quant-phcs.LGarXiv:2010.15968v22020
The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysts
Richard Tran, Janice Lan, Muhammed Shuaibi +14
cond-mat.mtrl-scics.LGphysics.comp-pharXiv:2206.08917v32022
Adversarial Feature Matching for Text Generation
Yizhe Zhang, Zhe Gan, Kai Fan +4
stat.MLcs.CLcs.LGarXiv:1706.03850v32017
Online Deep Learning: Learning Deep Neural Networks on the Fly
Doyen Sahoo, Quang Pham, Jing Lu +1
cs.LGarXiv:1711.03705v12017
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation
Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda +1
cs.LGcs.CVstat.MLarXiv:2005.01807v12020
Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics
Felix Berkenkamp, Andreas Krause, Angela P. Schoellig
cs.ROcs.LGeess.SYarXiv:1602.04450v32016
A review of machine learning in processing remote sensing data for mineral exploration
Hojat Shirmard, Ehsan Farahbakhsh, R. Dietmar Muller +1
cs.LGcs.CVstat.AParXiv:2103.07678v22021
GFlowNet Foundations
Yoshua Bengio, Salem Lahlou, Tristan Deleu +3
cs.LGcs.AIstat.MLarXiv:2111.09266v52021
Optimal Solutions for Sparse Principal Component Analysis
Alexandre d'Aspremont, Francis Bach, Laurent El Ghaoui
cs.AIcs.LGarXiv:0707.0705v42007
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning
Arsenii Ashukha, Alexander Lyzhov, Dmitry Molchanov +1
stat.MLcs.LGarXiv:2002.06470v42020
Never Give Up: Learning Directed Exploration Strategies
Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi +8
cs.LGstat.MLarXiv:2002.06038v12020
Robust Distortion-free Watermarks for Language Models
Rohith Kuditipudi, John Thickstun, Tatsunori Hashimoto +1
cs.LGcs.CLcs.CRarXiv:2307.15593v32023
Machine learning approximation algorithms for high-dimensional fully nonlinear partial differential equations and second-order backward stochastic differential equations
Christian Beck, Weinan E, Arnulf Jentzen
math.NAcs.LGcs.NEarXiv:1709.05963v12017
Can large language models provide useful feedback on research papers? A large-scale empirical analysis
Weixin Liang, Yuhui Zhang, Hancheng Cao +9
cs.LGcs.AIcs.CLarXiv:2310.01783v12023
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech
Wei Ping, Kainan Peng, Jitong Chen
cs.CLcs.AIcs.LGarXiv:1807.07281v32018
Perception Test: A Diagnostic Benchmark for Multimodal Video Models
Viorica Pătrăucean, Lucas Smaira, Ankush Gupta +21
cs.CVcs.AIcs.LGarXiv:2305.13786v22023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
Jie Liu, Yixiao Zhang, Jie-Neng Chen +7
eess.IVcs.CVcs.LGarXiv:2301.00785v52023
Sample Selection Bias Correction Theory
Corinna Cortes, Mehryar Mohri, Michael Riley +1
cs.LGarXiv:0805.2775v12008
Deep Learning for Visual Tracking: A Comprehensive Survey
Seyed Mojtaba Marvasti-Zadeh, Li Cheng, Hossein Ghanei-Yakhdan +1
cs.CVcs.LGeess.IVarXiv:1912.00535v22019
Taxonomy of Real Faults in Deep Learning Systems
Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota +3
cs.SEcs.AIcs.LGarXiv:1910.11015v32019
One Step Diffusion via Shortcut Models
Kevin Frans, Danijar Hafner, Sergey Levine +1
cs.LGcs.CVarXiv:2410.12557v32024
Provable Robust Watermarking for AI-Generated Text
Xuandong Zhao, Prabhanjan Ananth, Lei Li +1
cs.CLcs.LGarXiv:2306.17439v22023
Learning to Compose Domain-Specific Transformations for Data Augmentation
Alexander J. Ratner, Henry R. Ehrenberg, Zeshan Hussain +2
stat.MLcs.CVcs.LGarXiv:1709.01643v32017
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time
Zichang Liu, Jue Wang, Tri Dao +8
cs.LGarXiv:2310.17157v12023
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations
Jiaheng Wei, Zhaowei Zhu, Hao Cheng +3
cs.LGstat.MLarXiv:2110.12088v22021
A Comprehensive Study on Deep Learning Bug Characteristics
Md Johirul Islam, Giang Nguyen, Rangeet Pan +1
cs.SEcs.LGarXiv:1906.01388v12019
Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI
Mahima Pushkarna, Andrew Zaldivar, Oddur Kjartansson
cs.HCcs.AIcs.DBarXiv:2204.01075v12022
The Shapley Value in Machine Learning
Benedek Rozemberczki, Lauren Watson, Péter Bayer +4
cs.LGcs.AIcs.GTarXiv:2202.05594v22022
Graph Convolutional Networks with EigenPooling
Yao Ma, Suhang Wang, Charu C. Aggarwal +1
cs.LGstat.MLarXiv:1904.13107v22019
Meta-Learning for Low-Resource Neural Machine Translation
Jiatao Gu, Yong Wang, Yun Chen +2
cs.CLcs.LGarXiv:1808.08437v12018
Rethinking Positional Encoding in Language Pre-training
Guolin Ke, Di He, Tie-Yan Liu
cs.CLcs.LGarXiv:2006.15595v42020
Survey on Evaluation Methods for Dialogue Systems
Jan Deriu, Alvaro Rodrigo, Arantxa Otegi +4
cs.CLcs.AIcs.HCarXiv:1905.04071v22019
Why Normalizing Flows Fail to Detect Out-of-Distribution Data
Polina Kirichenko, Pavel Izmailov, Andrew Gordon Wilson
stat.MLcs.LGarXiv:2006.08545v12020
Robust Deep Reinforcement Learning with Adversarial Attacks
Anay Pattanaik, Zhenyi Tang, Shuijing Liu +2
cs.LGcs.AIcs.ROarXiv:1712.03632v12017

Machine Learning

Explainability Fact Sheets: A Framework for Systematic Assessment of Explainable Approaches

Building Generalizable Agents with a Realistic and Rich 3D Environment

General Multi-label Image Classification with Transformers

Communication-Efficient Distributed Dual Coordinate Ascent

Attentive Pooling Networks

An Overview of Deep Semi-Supervised Learning

Are Labels Required for Improving Adversarial Robustness?

BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation

Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems

Interpretable Scientific Discovery with Symbolic Regression: A Review

Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial

Domain Generalization Using a Mixture of Multiple Latent Domains

Towards Causal Representation Learning

On the importance of single directions for generalization

MetNet: A Neural Weather Model for Precipitation Forecasting

Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic

Multi-task Deep Reinforcement Learning with PopArt

MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks

3D Point Capsule Networks

Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search

Learning to Detect Objects with a 1 Megapixel Event Camera

Hyperbolic Entailment Cones for Learning Hierarchical Embeddings

Zero-Cost Proxies for Lightweight NAS

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

Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Entanglement Induced Barren Plateaus

The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysts

Adversarial Feature Matching for Text Generation

Online Deep Learning: Learning Deep Neural Networks on the Fly

Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation

Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics

A review of machine learning in processing remote sensing data for mineral exploration

GFlowNet Foundations

Optimal Solutions for Sparse Principal Component Analysis

Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning

Never Give Up: Learning Directed Exploration Strategies

Robust Distortion-free Watermarks for Language Models

Machine learning approximation algorithms for high-dimensional fully nonlinear partial differential equations and second-order backward stochastic differential equations

Can large language models provide useful feedback on research papers? A large-scale empirical analysis

ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech

Perception Test: A Diagnostic Benchmark for Multimodal Video Models

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection

Sample Selection Bias Correction Theory

Deep Learning for Visual Tracking: A Comprehensive Survey

Taxonomy of Real Faults in Deep Learning Systems

One Step Diffusion via Shortcut Models

Provable Robust Watermarking for AI-Generated Text

Learning to Compose Domain-Specific Transformations for Data Augmentation

Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time

Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations

A Comprehensive Study on Deep Learning Bug Characteristics

Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI

The Shapley Value in Machine Learning

Graph Convolutional Networks with EigenPooling

Meta-Learning for Low-Resource Neural Machine Translation

Rethinking Positional Encoding in Language Pre-training

Survey on Evaluation Methods for Dialogue Systems

Why Normalizing Flows Fail to Detect Out-of-Distribution Data

Robust Deep Reinforcement Learning with Adversarial Attacks