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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9,421 to 9,480 of 20,192

Bitwise Neural Networks
Minje Kim, Paris Smaragdis
cs.LGcs.AIcs.NEarXiv:1601.06071v12016
Does Writing with Language Models Reduce Content Diversity?
Vishakh Padmakumar, He He
cs.CLcs.CYcs.HCarXiv:2309.05196v32023
SOFT: Softmax-free Transformer with Linear Complexity
Jiachen Lu, Jinghan Yao, Junge Zhang +6
cs.CVcs.AIcs.LGarXiv:2110.11945v32021
Criteria for Classifying Forecasting Methods
Tim Januschowski, Jan Gasthaus, Yuyang Wang +4
stat.MLcs.LGarXiv:2212.03523v12022
Implicit Deep Learning
Laurent El Ghaoui, Fangda Gu, Bertrand Travacca +2
cs.LGmath.OCstat.MLarXiv:1908.06315v42019
Safe Policy Improvement with Baseline Bootstrapping
Romain Laroche, Paul Trichelair, Rémi Tachet des Combes
cs.LGcs.AIstat.MLarXiv:1712.06924v52017
SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum
Jianyu Wang, Vinayak Tantia, Nicolas Ballas +1
cs.LGcs.DCmath.OCarXiv:1910.00643v22019
The Surprising Effectiveness of Representation Learning for Visual Imitation
Jyothish Pari, Nur Muhammad Shafiullah, Sridhar Pandian Arunachalam +1
cs.ROcs.AIcs.CVarXiv:2112.01511v22021
Defensive Quantization: When Efficiency Meets Robustness
Ji Lin, Chuang Gan, Song Han
cs.LGcs.CVstat.MLarXiv:1904.08444v12019
Stochastic Normalizing Flows
Hao Wu, Jonas Köhler, Frank Noé
stat.MLcs.LGphysics.chem-pharXiv:2002.06707v32020
Collaborative Fairness in Federated Learning
Lingjuan Lyu, Xinyi Xu, Qian Wang
cs.LGcs.DCstat.MLarXiv:2008.12161v22020
Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow
Ahmed Zamzam, Kyri Baker
cs.LGeess.SPeess.SYarXiv:1910.01213v12019
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks
Chulin Xie, Minghao Chen, Pin-Yu Chen +1
cs.LGarXiv:2106.08283v12021
Prompting Large Language Models with Speech Recognition Abilities
Yassir Fathullah, Chunyang Wu, Egor Lakomkin +9
eess.AScs.AIcs.CLarXiv:2307.11795v12023
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming
Hussein Mozannar, Gagan Bansal, Adam Fourney +1
cs.SEcs.HCcs.LGarXiv:2210.14306v52022
XNOR-Net++: Improved Binary Neural Networks
Adrian Bulat, Georgios Tzimiropoulos
cs.CVcs.LGeess.IVarXiv:1909.13863v12019
Communication Complexity of Distributed Convex Learning and Optimization
Yossi Arjevani, Ohad Shamir
cs.LGmath.OCstat.MLarXiv:1506.01900v22015
Fast Distributed Inference Serving for Large Language Models
Bingyang Wu, Yinmin Zhong, Zili Zhang +6
cs.LGcs.DCarXiv:2305.05920v32023
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting
Xu Liu, Yutong Xia, Yuxuan Liang +7
cs.LGarXiv:2306.08259v22023
Learning to Walk in the Real World with Minimal Human Effort
Sehoon Ha, Peng Xu, Zhenyu Tan +2
cs.ROcs.AIcs.LGarXiv:2002.08550v32020
On the Quantitative Analysis of Decoder-Based Generative Models
Yuhuai Wu, Yuri Burda, Ruslan Salakhutdinov +1
cs.LGarXiv:1611.04273v22016
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
Tianzhe Wang, Kuan Wang, Han Cai +3
cs.LGcs.CVstat.MLarXiv:2006.08509v12020
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis
Rudy Bunel, Matthew Hausknecht, Jacob Devlin +2
cs.LGstat.MLarXiv:1805.04276v22018
SciReC: Diagnostic Evaluation of Multimodal, Multi-Turn Relational Reasoning with Adaptive Interaction
Nilay Yilmaz, Naga Sai Abhiram Kusumba, Stella Wenxing Liu +1
cs.CLcs.AIcs.LGarXiv:2608.27461v12026
Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data
Hang Yuan, Shing Chan, Andrew P. Creagh +4
eess.SPcs.AIcs.LGarXiv:2206.02909v32022
Talk like a Graph: Encoding Graphs for Large Language Models
Bahare Fatemi, Jonathan Halcrow, Bryan Perozzi
cs.LGarXiv:2310.04560v12023
Temporal Attention augmented Bilinear Network for Financial Time-Series Data Analysis
Dat Thanh Tran, Alexandros Iosifidis, Juho Kanniainen +1
cs.CEcs.LGq-fin.CParXiv:1712.00975v12017
Training Sparse Neural Networks
Suraj Srinivas, Akshayvarun Subramanya, R. Venkatesh Babu
cs.CVcs.LGarXiv:1611.06694v12016
Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems
Shalmali Joshi, Oluwasanmi Koyejo, Warut Vijitbenjaronk +2
cs.LGstat.MLarXiv:1907.09615v12019
Compositional Explanations of Neurons
Jesse Mu, Jacob Andreas
cs.LGcs.AIcs.CLarXiv:2006.14032v22020
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference
Geoffrey Roeder, Yuhuai Wu, David Duvenaud
stat.MLcs.LGarXiv:1703.09194v32017
Convergence Rate of Frank-Wolfe for Non-Convex Objectives
Simon Lacoste-Julien
math.OCcs.LGmath.NAarXiv:1607.00345v12016
Benchmarking the Spectrum of Agent Capabilities
Danijar Hafner
cs.AIcs.LGarXiv:2109.06780v22021
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
Chumeng Liang, Xiaoyu Wu, Yang Hua +6
cs.CVcs.AIcs.CRarXiv:2302.04578v22023
Generative Adversarial Network for Medical Images (MI-GAN)
Talha Iqbal, Hazrat Ali
cs.LGcs.CVeess.IVarXiv:1810.00551v12018
A Kernel Theory of Modern Data Augmentation
Tri Dao, Albert Gu, Alexander J. Ratner +3
cs.LGstat.MLarXiv:1803.06084v22018
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations
Eric Wong, Frank R. Schmidt, J. Zico Kolter
cs.LGstat.MLarXiv:1902.07906v22019
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control
Natasha Jaques, Shixiang Gu, Dzmitry Bahdanau +3
cs.LGcs.AIarXiv:1611.02796v92016
An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks
Andrew Churcher, Rehmat Ullah, Jawad Ahmad +6
cs.CRcs.LGarXiv:2101.12270v12021
Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware
Peter Blouw, Xuan Choo, Eric Hunsberger +1
cs.LGstat.MLarXiv:1812.01739v22018
Ternary Neural Networks for Resource-Efficient AI Applications
Hande Alemdar, Vincent Leroy, Adrien Prost-Boucle +1
cs.LGcs.AIcs.NEarXiv:1609.00222v22016
MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
Jack FitzGerald, Christopher Hench, Charith Peris +13
cs.CLcs.AIcs.LGarXiv:2204.08582v22022
NetLLM: Adapting Large Language Models for Networking
Duo Wu, Xianda Wang, Yaqi Qiao +4
cs.NIcs.LGarXiv:2402.02338v32024
Understanding the Origins of Bias in Word Embeddings
Marc-Etienne Brunet, Colleen Alkalay-Houlihan, Ashton Anderson +1
cs.LGcs.CYstat.MLarXiv:1810.03611v22018
Barnes-Hut-SNE
Laurens van der Maaten
cs.LGcs.CVstat.MLarXiv:1301.3342v22013
Robust Imitation of Diverse Behaviors
Ziyu Wang, Josh Merel, Scott Reed +3
cs.LGarXiv:1707.02747v22017
Denoising Criterion for Variational Auto-Encoding Framework
Daniel Jiwoong Im, Sungjin Ahn, Roland Memisevic +1
cs.LGarXiv:1511.06406v22015
Generalization and Regularization in DQN
Jesse Farebrother, Marlos C. Machado, Michael Bowling
cs.LGcs.AIstat.MLarXiv:1810.00123v32018
Boosting Few-Shot Learning With Adaptive Margin Loss
Aoxue Li, Weiran Huang, Xu Lan +3
cs.CVcs.LGstat.MLarXiv:2005.13826v12020
Robust Online Hamiltonian Learning
Christopher E. Granade, Christopher Ferrie, Nathan Wiebe +1
quant-phcs.LGarXiv:1207.1655v22012
Learning Symmetric and Low-energy Locomotion
Wenhao Yu, Greg Turk, C. Karen Liu
cs.LGcs.GRcs.ROarXiv:1801.08093v32018
From Parity to Preference-based Notions of Fairness in Classification
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez +2
stat.MLcs.LGarXiv:1707.00010v22017
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System
Xinshi Chen, Shuang Li, Hui Li +3
cs.LGcs.IRstat.MLarXiv:1812.10613v32018
Generative Adversarial Minority Oversampling
Sankha Subhra Mullick, Shounak Datta, Swagatam Das
cs.CVcs.LGarXiv:1903.09730v32019
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
Chunyuan Li, Hao Liu, Changyou Chen +4
stat.MLcs.AIcs.CVarXiv:1709.01215v22017
Generative Causal Explanations for Graph Neural Networks
Wanyu Lin, Hao Lan, Baochun Li
cs.LGarXiv:2104.06643v22021
Model Agnostic Supervised Local Explanations
Gregory Plumb, Denali Molitor, Ameet Talwalkar
cs.LGstat.MLarXiv:1807.02910v32018
A Neural Autoregressive Approach to Collaborative Filtering
Yin Zheng, Bangsheng Tang, Wenkui Ding +1
cs.IRcs.LGstat.MLarXiv:1605.09477v12016
Multi-Task Cross-Lingual Sequence Tagging from Scratch
Zhilin Yang, Ruslan Salakhutdinov, William Cohen
cs.CLcs.LGarXiv:1603.06270v22016
CANet: An Unsupervised Intrusion Detection System for High Dimensional CAN Bus Data
Markus Hanselmann, Thilo Strauss, Katharina Dormann +1
cs.CRcs.LGeess.SParXiv:1906.02492v12019

Machine Learning

Bitwise Neural Networks

Does Writing with Language Models Reduce Content Diversity?

SOFT: Softmax-free Transformer with Linear Complexity

Criteria for Classifying Forecasting Methods

Implicit Deep Learning

Safe Policy Improvement with Baseline Bootstrapping

SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum

The Surprising Effectiveness of Representation Learning for Visual Imitation

Defensive Quantization: When Efficiency Meets Robustness

Stochastic Normalizing Flows

Collaborative Fairness in Federated Learning

Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow

CRFL: Certifiably Robust Federated Learning against Backdoor Attacks

Prompting Large Language Models with Speech Recognition Abilities

Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming

XNOR-Net++: Improved Binary Neural Networks

Communication Complexity of Distributed Convex Learning and Optimization

Fast Distributed Inference Serving for Large Language Models

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting

Learning to Walk in the Real World with Minimal Human Effort

On the Quantitative Analysis of Decoder-Based Generative Models

APQ: Joint Search for Network Architecture, Pruning and Quantization Policy

Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis

SciReC: Diagnostic Evaluation of Multimodal, Multi-Turn Relational Reasoning with Adaptive Interaction

Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data

Talk like a Graph: Encoding Graphs for Large Language Models

Temporal Attention augmented Bilinear Network for Financial Time-Series Data Analysis

Training Sparse Neural Networks

Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems

Compositional Explanations of Neurons

Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference

Convergence Rate of Frank-Wolfe for Non-Convex Objectives

Benchmarking the Spectrum of Agent Capabilities

Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples

Generative Adversarial Network for Medical Images (MI-GAN)

A Kernel Theory of Modern Data Augmentation

Wasserstein Adversarial Examples via Projected Sinkhorn Iterations

Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control

An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks

Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware

Ternary Neural Networks for Resource-Efficient AI Applications

MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages

NetLLM: Adapting Large Language Models for Networking

Understanding the Origins of Bias in Word Embeddings

Barnes-Hut-SNE

Robust Imitation of Diverse Behaviors

Denoising Criterion for Variational Auto-Encoding Framework

Generalization and Regularization in DQN

Boosting Few-Shot Learning With Adaptive Margin Loss

Robust Online Hamiltonian Learning

Learning Symmetric and Low-energy Locomotion

From Parity to Preference-based Notions of Fairness in Classification

Generative Adversarial User Model for Reinforcement Learning Based Recommendation System

Generative Adversarial Minority Oversampling

ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

Generative Causal Explanations for Graph Neural Networks

Model Agnostic Supervised Local Explanations

A Neural Autoregressive Approach to Collaborative Filtering

Multi-Task Cross-Lingual Sequence Tagging from Scratch

CANet: An Unsupervised Intrusion Detection System for High Dimensional CAN Bus Data